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Oskar is a globally respected technologist and entrepreneur with a distinguished track record & career in high-performance computing, advanced system architectures and industry-leading innovation.

He is the founder and long-time CEO of Maxeler Technologies, a pioneering dataflow computing company that has influenced the evolution of next-generation computing architectures and was acquired by Groq, whose technology was recently licensed by Nvidia, in Nvidia’s largest deal to-date. Oskar now calls Dubai home and is currently a fellow with the Abu Dhabi Investment Authority (ADIA).

“We are thrilled to welcome Oskar to Atelic’s Advisory Board,” said Ben Owen, CEO and Founder of Atelic. “His deep technical expertise, visionary leadership and decades of experience bringing breakthrough computing solutions to market is an asset as we scale our enterprise AI strategy and help organisations tackle real-world challenges with secure, efficient, and impactful AI solutions. In his role on the Advisory Board, Oskar will provide strategic counsel on market alignment, technology, product-market fit, and ecosystem partnerships. His insights will help guide Atelic’s ongoing development of advanced AI platforms and enterprise frameworks, including Atelic’s flagship Studio product suite. His guidance ensures that the company remains at the forefront of trusted, outcome- focused AI adoption across sectors such as energy, manufacturing, smart cities & beyond.

“I am honored to join Atelic’s Advisory Board,” said Oskar. “The team’s commitment and drive to delivering enterprise-grade AI with measurable business value resonates with the direction in which I am convinced, industry must move. I look forward to supporting Atelic as it navigates the rapidly evolving AI landscape and helps organisations translate innovation into tangible outcomes.” Oskar’s appointment underscores Atelic’s ambition to build a world-class advisory ecosystem, one that combines deeptech domain expertise with practical execution experience to accelerate trusted AI deployment & autonomy at scale.

About Atelic AI: We build the operational foundation for autonomous enterprises, focused onEnergy and Manufacturing. Headquartered in Dubai & with offices in the Netherlands, Atelic delivers ROI-driven, agentic AI solutions that turn data into revenue accelerators. For more information, visit www.atelic.ai.

Media Contacts

Contact: [David Chalklen] [CMO] [ info@atelic.ai] [+971542145686]

4b:T95b,

[Abu Dhabi, UAE] – Jul 30th, 2026 – ATELIC AI FZCO, a physics-informed, AI engineering firm today announced the appointment of Richard Emmott as its Regional Sales Director for Retail, focused on its growing client base. Based out of Abu Dhabi, Mr. Emmott joins the team as part of the ATELIC scale-up across the region.

Richard Emmott comes from his last role as ADNOC advisor with their distribution operations, where he supported enterprise transformation programmes across multiple business domains and partners while ensuring business value realisation through architecture governance, integration and operating model alignment.

"After 10 years living and working across the GCC in high growth firms such as Majid Al Futtaim, ADNOC, PWC & in roles such as CTO & MD, I’m excited by the technology that Atelic is building for next generation Industrial AI” said Richard, he continued with... “What impressed me about Atelic was their ability to offer bespoke solutions at scale and simplify the complex. AI can only be done right with the right architecture and industry domain knowledge”.

"Richard’s extensive advisory work in downstream Energy and Retail positions him as a critical resource as we scale up our Industry Knowledge System – the AKS," said Ben Owen, CEO and Founder of ATELIC AI. "Our technology addresses many of the AI frameworks and transformational projects Mr. Emmott was involved in and we are delighted to see what he can do to continue accelerating demand for secure, industrial-grade Enterprise AI."

Richard has held senior roles in consulting and in industry having built a reputation in Retail and all matters customer and consumer.  He has been a senior member in three companies that delivered exceptional returns when they each successfully listed as an IPO in different countries, he holds a bachelor’s degree in business administration and with recent updates from Harvard and MIT.

About ATELIC AI: Headquartered in Dubai, with offices in the UAE, the Netherlands and the United States, ATELIC is an industrial AI knowledge system that combines physics-informed technology, industry expertise, and forward-deployed engineering to turn fragmented operational data into measurable business value for energy and manufacturing companies.

4c:Tc1d,

[Dubai, UAE] – July 22nd, 2026 – ATELIC AI FZCO, a physics-informed, AI engineering firm today announced the appointment of Brian Haug as its Global Chief Revenue Officer. Based out of Virginia, Mr. Haug joins the founding team to drive its Global Sales & Revenue teams, driving business expansion across the Americas, Europe & the GCC for ATELIC’s flagship Industrial AI software solution.

The appointment comes as ATELIC continues to deploy their proprietary technology across its customer base as it builds traction among partners & new prospects. Its flagship product suite, the Atelic Knowledge System, acts as a secure, context-aware "System of Action" that connects IT and OT environments. Engineered specifically for asset-intensive sectors like Mining, Oil, Gas & manufacturing systems. The platform turns fragmented, complex industrial data into actionable AI led executions with strict human oversight, satisfying rigid data sovereignty rules while unlocking measurable business value.

“We are truly humbled to welcome Brian to Atelic’s founding team, Brian is a proven operator with extensive experience scaling large, high-performance organizations. said Ben Owen, CEO of Atelic. “During his tenure with a Berkshire Hathaway Energy subsidiary, he grew the revenue organization to more than 4,000 sales professionals and multi billion dollars in revenue. His decision to join Atelic reflects the strength of our customer proposition and potential. Brian’s experience and guidance will be instrumental as we enter our next phase of growth.”

Mr. Haug brings deep commercial expertise to the role, with senior roles & extensive experience with companies across the Berkshire Hathaway portfolio. He has developed & trained thousands of industry professionals & led a billion-dollar portfolio. He holds a bachelor’s in mechanical engineering from VCU, has multiple AI certifications & is currently developing AI projects across various verticals.

“ATELIC AI attracted me because I want to build exceptional companies at the point where strong technology translates into hyper-growth,” said Brian Haug. “ATELIC has a differentiated proposition. By turning complex Energy and Industrial data into measurable business outcomes, the company has the potential to become a category leader. He continued to say that “My focus will be on strengthening the link between technology, customer ROI, scalable revenue, and long-term enterprise value. The timing, market opportunity, and maturity of ATELIC’s platform make this an exceptional moment to support the company’s next phase of growth.”

4d:Taf0,

ATELIC AI recruits a seasoned veteran to lead their Regional Expansion in Oil & Gas, cementing its position as a thought leader in Energy AI.

[Dubai, UAE] – July 14, 2026. Atelic AI, an early pioneer in agentic AI solutions in Oil & Gas, is excited to announce it has hired Martin Di Sisto as Global VP of Sales to lead its GCC, EU & Americas Energy division.

As an emerging leader in Industrial AI, Atelic AI bridges the gap between Operational Technology (OT) & Information Technology (IT). Their flagship product suite, Atelic Core Studio, offers specialized agents for various industries, chief among them is a solution customized for the Energy Industry. The systems they build help move organizations beyond passive monitoring & into autonomous execution.

"We are delighted to welcome Mr. Di Sisto as our Global VP of Sales" said Ben Owen, CEO and Founder of Atelic AI. "His experience & years of commitment supporting Energy customers solving Energy-specific technology challenges perfectly aligns with our mission to scale AI systems into Oil & Gas”.

As Martin leads commercial strategy & sales execution for AtelicAI. His key focus areas include , Building & scaling the sales engine while developing strategic relationships with C-suite and operational leaders across energy industry. He will be translating complex AI capabilities into clear, measurable, scalable and tangible business value for clients.

"I’ve spent nearly my entire career at the intersection of energy and technology, from working with Schlumberger, Halliburton, and most recently with AWS; so joining AtelicAI as VP of Sales feels like the natural next step in a journey I've always been building toward”, said Mr. Di Sisto. He added that “The convergence I've always believed in is finally here: deep domain knowledge of traditional energy meeting the velocity of AI-native solutions. I believe Atelic is purpose-built to do exactly that”.

This hire follows Atelic’s recent expansion of its Advisory Board, which includes globally respected technologists like Dr. Oskar Mencer and Dr. Amr Awadallah. With a high-velocity pipeline and growing demand in the energy and manufacturing sectors, Atelic AI is positioned to lead the transition toward fully autonomous, ROI-driven enterprises.

About Atelic AI: Headquartered in Dubai with offices in the Netherlands, AtelicAI is an AI-native company providing intelligent solutions to the energy sector, helping asset-intensive organizations unlock the full potential of AI in their core operations. Atelic delivers agentic AI solutions that prioritize sovereignty, safety, and measurable business value.

4e:T643,

AI agents are being deployed across cloud-connected energy infrastructure to optimise production, manage logistics & inform capital decisions. These ‘agents’ often traverse sovereign boundaries, multi-region cloud environments & NOC-regulated data zones with no unified governance layer in place.

Existing frameworks address either data governance for static assets or cloud compliance as an IT. workstream; neither is designed for the speed, autonomy and cross-domain context-sharing of agentic AI pipelines.

This paper argues that data sovereignty, cloud architecture and AI compliance are not separate workstreams, rather they are three expressions of a single, unresolved governance problem. Resolving these three independently produces compliance failures that are architectural in nature and costly to remediate after deployment.

The paper sets out to:

• Define the structural dependencies between these three dimensions in integrated energy operations;

• Present a reference three-layer governance architecture applicable to cloud-connected O&G operators;

• Introduce two implementable governance constructs (resource-bounded agent behavioural constraints and infrastructure-layer trust scoring).

• Demonstrate their application through a structured scenario analysis; and

• Identify the regulatory obligations most directly implicated, including the UAE Personal Data Protection Law (PDPL), the EU AI Act, and the NIST AI Risk Management Framework.

Download the PDF for the full abstract.

4f:T4ab,

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ATELIC believes in the UAE AI community and are proud to be a sponsor along with Google and Jetbrains

Get organised, goto the link and get your Billion dollar idea ready.

If you are any of the following, then this is definitely for you.

➡️ Aspiring AI Developers: Those looking to build a portfolio-worthy AI application.

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The judges will be waiting...

https://nas.com/artificialintelligence/challenges/building-ai-application-jun.

50:Tb23,

Navigating Complexity in a Rapidly Evolving Tech World

One of the key themes explored in this episode is the increasing complexity of modern technology environments. From cloud adoption and AI acceleration to cybersecurity and data-driven decision-making, organisations are no longer dealing with isolated systems. Instead, success depends on how well teams can integrate technology with strategy, culture, and long-term vision.

Ben shares valuable perspectives on why technical excellence alone is not enough. Strong leadership, clear communication, and the ability to adapt are becoming just as important as technical skills themselves.

Leadership Beyond Technology

A major focus of the conversation is the evolving role of leadership in technology-driven organisations. As tools become more powerful and accessible, leaders are challenged to move beyond day-to-day operations and focus on enabling their teams.

The episode highlights how effective leaders:

Encourage continuous learning and curiosity
Create environments where teams can experiment and innovate safely
Balance speed with responsibility, especially in areas like AI and cybersecurity

This human-centred approach to leadership is increasingly essential in an era where technology can change faster than organisational structures.

Innovation with Purpose

Rather than innovation for innovation’s sake, the discussion emphasises purpose-driven innovation. Technology delivers real value only when it aligns with business goals and solves meaningful problems.

The episode explores how organisations can:

Avoid chasing trends without clear outcomes
Focus on measurable impact
Ensure innovation efforts remain aligned with customer and stakeholder needs

This mindset helps teams move from experimentation to scalable, sustainable results.

Preparing for What’s Next

As the conversation wraps up, attention turns to the future. The episode encourages leaders, technologists, and decision-makers to think proactively about what lies ahead, not just in terms of tools and platforms, but in skills, mindset, and organisational readiness.

The key takeaway is clear: the future belongs to organisations that combine strong leadership, thoughtful strategy, and responsible use of technology.

Final Thoughts

The Cyber Espresso episode with Ben Owen offers practical insights for anyone working at the intersection of technology and leadership. Whether you are a technical professional, a business leader, or part of a growing digital organisation, the discussion provides valuable guidance on navigating change with clarity and purpose.

51:Taf7,

In an industry where significant attention has been placed on large language models and agentic technologies, tangible business impact has often lagged behind expectations. In 2026, Atelic and ThinkOnward are joining forces to close this gap within the Oil & Gas sector by focusing on validated, production-ready applications of AI.

The collaboration brings together Atelic’s expertise in agentic AI frameworks with ThinkOnward’s deep domain knowledge and global network of industry specialists. By combining advanced AI capabilities with expert-led validation, benchmarking, and governance, the partnership ensures that both large and small language models are accurate, reliable, and suitable for deployment in mission-critical operational workflows.

ThinkOnward contributes decades of hands-on experience delivering hundreds of real-world Oil & Gas projects, including ongoing work in domain-specific language models, accuracy benchmarking, and applied AI across subsurface and operational workflows. Atelic complements this with its agentic AI framework, Atelic Studio™, designed to orchestrate validated AI agents across complex industrial workflows. Together, this builds on the long-standing approach of extending in-house technical excellence through a global, virtual network of domain experts spanning geoscience, engineering, and data science.

The partnership will focus on applying agentic AI to concrete industry workflows, including exploration activities spanning seismic acquisition, imaging, and interpretation; the use of digital fibre technologies such as distributed acoustic sensing (DAS) and distributed temperature sensing (DTS) for field monitoring; and drilling and production workflows where real-time data, operational context, and expert knowledge must be combined to support better decisions. Through this approach, Atelic and ThinkOnward aim to translate AI innovation into measurable, real-world value.

Ben Owen, CEO of Atelic said that “The Middle East is moving quickly from AI ambition to real deployment. This partnership allows us to bring proven agentic technology and global domain expertise together in the region, supporting energy operators as they scale practical, production-ready AI into real operations.”

About: Atelic builds the operational foundation for autonomous enterprises, focused on Energy and Manufacturing. Headquartered in Dubai, Atelic delivers ROI-driven, agentic AI solutions that turn data into revenue accelerators. For more information, visit www.atelic.ai.

Media Contacts

Atelic: info@atelic.ai
ThinkOnward: media@thinkonward.com

52:Tdaa,

On one end of the spectrum are teams that barely engage with AI at all. Often operating in industrial, regulated, or large-scale environments, these organizations are cautious by necessity. When safety, compliance, or uptime are at stake, experimentation feels risky. While this approach minimizes errors, it also slows progress. Learning cycles stretch out, innovation stalls, and competitors move ahead.

On the other end are teams that embrace AI enthusiastically, deploying pilots, demos, and proofs of concept at speed. Progress appears rapid, but the results are frequently short-lived. Numerous industry studies over the past two years from leading research firms such as McKinsey, Gartner, and BCG show that a significant majority of AI initiatives never move beyond the pilot stage or fail to demonstrate clear return on investment even after extended periods. The technology works, yet the business outcomes often fall short.

Despite their differences, both approaches share a common flaw: AI is treated either as something to avoid or something to experiment with endlessly, without being firmly anchored to business outcomes.

From Activity to Impact

This challenge is what led to the development of Generative Agile not as a response to new technology, but as a response to wasted effort.

Traditional Agile methodologies are effective once a clear direction is established. However, many AI-driven initiatives begin without that clarity. They focus on tools, capabilities, or what is technically possible, rather than on purpose. As a result, delivery speed increases, but strategic direction remains unclear.

Generative Agile reverses this sequence.

Before accelerating delivery, it emphasizes fundamental but often uncomfortable questions:

What problem is truly worth solving right now?
How will success be measured in concrete business terms?
Which decisions directly influence return on investment?
And just as critically, what should not be automated?

Only after these questions are answered does AI enter the equation used not to create more features or impressive demonstrations, but to reduce wasted effort, shorten decision cycles, and improve outcomes that already matter to the business.

Doing Less to Achieve More

In practice, this approach often leads to fewer initiatives, not more. Fewer pilots without ownership. Fewer experiments disconnected from strategy. Fewer projects that appear innovative but quietly disappear months later.

Today’s organizations are not lacking AI capability. Most already have access to advanced tools, platforms, and talent. What is missing is disciplined execution tied directly to measurable outcomes.

The next phase of the industrial transformation will not be led by those with the largest AI labs or the most technology investments. It will be led by organizations that can move quickly without losing control treating intelligence as a means to results, not as an end in itself.

Increasingly, conversations are shifting away from technology and toward execution: how to stop pilot inflation, align teams around purpose, and ensure that innovation translates into real impact.

For organizations facing these challenges, the question is no longer whether to use AI but how to ensure that the effort invested actually pays off.

53:T1567,

The history of progress is clear: revolutions start when a new capability changes what's possible, not when the previous one is fully deployed. Electricity didn't wait for steam to disappear.

Today, that new, game-changing capability is Industrial Agentic AI: Autonomous systems that can perceive, reason, plan, coordinate, and act in real-time, across your complex environment. These agents don't just "do 4.0 better." They directly solve the existential problems that Industry 4.0 simply could not.

So, you've invested millions in sensors, IoT, data lakes, and Software Systems (ERP, MES, etc.), You've laid the foundation for Industry 4.0. But if you are like most executives, the digital promise feels... incomplete.

The gap between vision and reality is costing you. Is this why we’re even talking about Industry 5.0 when 4.0 is still in progress? The short answer is: Yes.

The 6 Crushing Pain Points Industry 4.0 Left Unsolved (And what 5.0 Must Fix)

For over a decade, billions were invested, but real, crippling barriers slowed progress. These are the problems your competitors might now using Agentic AI to tackle:

1. The Existential Workforce Crisis

Your best OT experts are retiring &you can't hire enough automation or AI talent. Your operation runs on undocumented tribal knowledge. Industry 4.0 digitized data didn't reduce the cognitive load on your scarce human talent. Industrial AI Agents can finally take over that cognitive load, acting as an autonomous expert layer to augment, not just assist, your remaining staff.

2. The Know-How Drain

Your most valuable IP lives in the heads of your senior technicians and process engineers. When they leave, that knowledge walks out the door. Industry 4.0 captured data, not engineering logic. Agentic AI introduces reasoning engines and operational memory, safely transferring critical human expertise into verifiable, machine intelligence.

3. The Unacceptable ROI Pressure

You were promised fast ROI but got long integration cycles, vendor lock-in, and excessive custom development. Executives are done with slow time-to-value. Autonomous Agents self-optimize, integrate faster, and radically reduce the need for constant, expensive manual configuration. This is the first realistic path to scalable, verifiable ROI in industrial digitalization.

4. The Global Competitiveness Gap

While your firm is still integrating, competitors are moving exponentially faster. China is running fully autonomous “dark factories.” GCC countries are orchestrating city-scale autonomous infrastructure. If your region delays adopting autonomy, the gap doesn't just widen, it accelerates into an unrecoverable chasm. Industry 5.0 is no longer about "efficiency;" it's becoming a competitive survival mechanism.

5. The Sustainability Mandate (Beyond Just Reporting)

You need to achieve carbon reduction, energy efficiency, and resource optimization. Industry 4.0 gave you data dashboards. Industry 5.0 Agents move beyond reporting: they autonomously coordinate assets, shift loads, and plan sustainable operations in real-time, making sustainability a continuous optimization loop, not a quarterly exercise.

6. The Innovation Speed Limit

"It takes months or years to deploy a new process." Why? Siloed data, manual integration, and human bottlenecks in the decision chain. Industrial Agentic AI automates experimentation, runs thousands of scenario validations in digital twins, and coordinates cross-system changes. It can collapse innovation cycles from months to days or even hours. No 4.0 technology can do that.

Why Industry 5.0 is NOT Industry 4.x?

The difference isn't semantic, it's functional:

4.x systems are AUTOMATION: They execute predefined, static logic.
5.0 systems are AUTONOMY: They set and adapt their own logic to achieve a goal.
4.0 is REACTIVE. You see what happened on a dashboard.
5.0 is ANTICIPATORY. The agent acts to prevent or improve what's about to happen.

This leap demands a new social contract: Industry 5.0 puts human governance at the center, requiring explainability, traceability, human-in-the-loop rules, and safety envelopes that 4.0 systems never needed.

Your Path Forward: From Tasks to Purpose

This is not a "jobs versus no jobs" debate. This is about elevating your workforce.

The choice is:

Humans do repetitive, high-stress tasks.... Or,
Humans define purpose, oversight, creativity, and critical thinking.

Industry 5.0 is designed to augment people, not displace them. Your operations must adapt. Let machines manage complexity while humans define the purpose.

Does Industry 5.0 make sense while 4.0 is still ongoing? Absolutely.

Industry 4.0 digitized the factory. Industry 5.0 makes it autonomous.

Is your industrial strategy ready for this shift?

If you are an executive, policymaker, or industrial strategist grappling with workforce shortages, not knowing where to start with Agentic AI, or how to design human-centric governance for autonomy, let's connect.

I'm always open for a 15-minute virtual discussion on practical industrial transformation.
Email: omid@atelic.ai

54:T3770,

We have all heard about Industry 4.0, connected machines, smart factories, IoT and lightning-fast supply chains. But as technology matures and the challenges grow, a new paradigm is emerging: Industry 5.0. It’s not just about smarter machines, it’s about smarter collaborations, augmented people, and autonomous AI Agentic systems NOT by replacing human but empowering them with the technology.

At the heart of this shift is Agentic AI: autonomous, goal-driven AI systems that don’t just analyze data, they act, adapt, and partner with the human-centric operations. The result? Industries across sectors not just manufacturing but energy, oil & gas, smart cities, factories and buildings are being re-imagined and re-engineered.

1. The Evolution: From Automation to Augmentation

Every industrial revolution has redefined what progress means. Industry 1.0 harnessed steam power to mechanize production. Industry 2.0 scaled output through electricity and assembly lines. Industry 3.0 introduced computers and early automation. Then came Industry 4.0, the digital transformation era connecting machines, sensors, and systems into intelligent, data-driven networks.

For more than a decade, Industry 4.0 delivered remarkable gains in efficiency, speed, and precision. Factories became smart. Supply chains became visible. Processes became predictive. But as global systems grew more complex, leaders began to see the limits of pure automation. Automation excels at repetition; it struggles with uncertainty, ethics, and emotion the very dimensions that shape today’s industrial, environmental, and social challenges.

That’s where Industry 5.0 emerges not as a replacement, but as an evolution. It asks a deeper question: What if the goal is not just optimization, but harmony? Harmony between humans and machines. Between productivity and sustainability. Between profit and purpose.

From Machine-Centric to Human-Centric Systems

In Industry 4.0, humans monitored systems; in Industry 5.0, they co-create with them. The focus shifts from “smart manufacturing” to “intelligent collaboration” where technology amplifies human creativity rather than replacing it. Machines now sense and adapt, but it’s humans who define meaning, values, and long-term goals.

Imagine a production environment where robotic arms adjust automatically to ergonomic needs, or energy grids that balance output not only for efficiency but for environmental and social impact. These are not far-fetched visions they’re prototypes of Industry 5.0 in action.

Beyond Manufacturing: The Cross-Industry Shift

While early discussions of Industry 5.0 centered on factory floors, the philosophy extends far beyond manufacturing. In energy and utilities, it means resilient grids that respond autonomously to climate volatility while aligning with human oversight and community priorities. In oil & gas, predictive AI systems prevent hazards and reduce waste while workers focus on innovation and sustainability. In smart cities and buildings, networks of sensors and AI agents adapt lighting, climate, and mobility flows around human comfort, accessibility, and carbon neutrality.

Every sector from logistics to healthcare to construction — is converging toward one shared vision: systems that learn from humans as much as humans learn from systems.

From Linear Efficiency to Systemic Intelligence

Industry 4.0 was about digitizing the known. Industry 5.0 is about navigating the unknown. It’s a shift from linear, rules-based optimization to dynamic, adaptive ecosystems. Instead of top-down command chains, organizations evolve into living networks where distributed AI agents and human teams co-decide and co-evolve.

The most forward-thinking companies are already piloting this approach integrating Agentic AI to create self-healing production lines, context-aware energy systems, and responsive city infrastructures. Each success story reinforces a new principle: that innovation flourishes when human purpose drives technological power.

The Human Edge

In the age of limitless automation, humanity becomes the ultimate differentiator. Empathy, creativity, ethics, and cross-domain reasoning these are the skills that will define competitive advantage in the 5.0 era. Technology will keep getting smarter, but humans will determine how wisely it’s used.

Industry 5.0 is therefore not just an industrial framework it’s a philosophy of coexistence. It challenges organizations to move beyond doing things faster, and instead, to do things better, together.

2. Agentic AI: The Engine of Industry 5.0

If Industry 4.0 was about automation, Industry 5.0 is about autonomy not just machines following pre-programmed rules, but intelligent systems capable of setting goals, learning continuously, and collaborating with humans. This evolution is powered by Agentic AI: autonomous, context-aware systems that can sense, reason, plan, and act all while aligning with human objectives and ethical constraints.

Unlike traditional AI, which processes data and waits for human direction, agentic AI systems take initiative. They analyze real-time conditions, make local decisions, and coordinate with other agents or humans to reach shared goals. The result is a system that not only responds to change but anticipates it, continuously optimizing for resilience, performance, and sustainability.

Agentic AI brings automation into the realm of co-creation. Unlike traditional AI systems that output recommendations, agentic AI systems sense, decide and act in real time. Some Examples:

In manufacturing: when a machine fails, an AI agent reroutes tasks, minimizes downtime, and human engineers focus on innovation.
In energy & utilities: agents balance renewable supply, manage grid loads, and humans oversee strategy and sustainability.
In smart cities & buildings: systems learn occupant patterns, adjust climate/energy autonomously, enabling human teams to focus on design, wellbeing and community.
In oil & gas: predictive agents detect anomalies early, reduce risk, and free human experts to focus on strategy and governance.

Ultimately, Agentic AI turns data into decisions and decisions into action, bridging the gap between digital intelligence and real-world impact. It transforms AI from a tool that serves automation into a partner for innovation one that embodies the essence of Industry 5.0: human creativity, ethical purpose, and technological autonomy, all working in harmony.

The key is human-AI synergy: machines take on repetitive, optimized tasks; humans bring vision, ethics and creativity. What results is resilient, adaptive, purposeful industry.

3. Why This Matters for Business Leaders

For C-level decision-makers, this transformation demands a shift in mindset:

From central control → to coordinated autonomy. Empowering local decision-making through AI agents that understand context and corporate intent.
From efficiency metrics → to impact metrics. Measuring not only productivity and cost, but also sustainability, safety, and human experience.
From digital adoption → to digital symbiosis. Building ecosystems where humans and AI co-create value continuously, rather than implementing one-off tools.

Value Beyond Automation

Adaptive Resilience: AI agents absorb shocks, reroute processes, and sustain operations under stress.
Operational Intelligence: Every machine, building, and process becomes a source of live intelligence, enabling proactive, data-driven leadership.
Talent Empowerment: Instead of replacing workers, agentic systems amplify them. Human expertise shifts toward creativity, innovation, and strategic oversight.
Sustainability by Design: Agentic AI optimizes for carbon reduction, circularity, and resource efficiency integrating ESG goals into every operational decision.
Customer Co-Creation: Personalized, ethical, and transparent services emerge as AI collaborates directly with users to tailor experiences in real time.

Strategic Imperatives for Today’s C-Suite

Governance: Create a unified data and ethics framework that ensures AI autonomy aligns with human values and company purpose.
Investment: Prioritize scalable platforms that enable continuous learning and integration across departments, not isolated pilots.
Culture: Build hybrid teams that combine human empathy with computational precision, the true foundation of Industry 5.0 innovation.
Partnerships: Foster alliances between startups, academia, and industry to accelerate cross-sector innovation.

In the end, Industry 5.0 isn’t about replacing humans with agents, it’s about redefining intelligence itself. Those who recognize that synergy now will not just lead the next wave of digital transformation; they will shape the future of industry, society, and the planet.

4. Building Human-AI Partnerships

Industry 5.0 is not a technological revolution alone it’s a human evolution. While Industry 4.0 made automation ubiquitous, Industry 5.0 redefines the relationship between people and systems, moving from control to collaboration. It asks a simple but transformative question:

How do we design technology that elevates human potential rather than replacing it?

At the core of this shift is the understanding that humans and AI must be partners, not counterparts. Agentic AI systems can sense, act, and learn autonomously but they still need human creativity, ethics, and empathy to define direction and meaning. Building such partnerships requires more than technology investment; it calls for a cultural, organizational, and ethical realignment.

- Reskilling and Co-Design: Humans as Architects of Intelligence

Human-AI collaboration starts with education and empowerment. Workers, engineers, and managers must learn to orchestrate intelligent systems guiding, validating, and co-designing their behavior. In a human-centric enterprise, data scientists work alongside field experts; AI developers collaborate with operators; and decision-makers use insights from both. Upskilling is no longer limited to digital literacy it expands into AI fluency, ethics, and systems thinking. Forward-thinking organizations are creating “AI partnership roles” positions dedicated to bridging human judgment with algorithmic reasoning.

- Ethical Governance: Designing for Trust and Accountability

As AI systems gain autonomy, governance becomes essential. Every decision made by an agentic AI must be transparent, explainable, and auditable. This requires frameworks that define who is responsible when AI acts and how decisions align with human values, legal standards, and corporate ethics.

Industry 5.0 leaders are embedding “ethics by design” integrating moral reasoning and human oversight into every AI process. For example, in energy systems, AI can decide when to shift loads or activate storage, but humans must set the ethical and environmental priorities guiding those actions. Trust becomes the ultimate enabler of adoption without it, even the most advanced technology will face resistance.

- Cultural Readiness: Shifting from Adoption to Empowerment

Technology transformation fails when culture lags behind. True Industry 5.0 maturity happens when employees see AI not as a threat, but as an ally that enhances their work. This means reframing transformation narratives from “automation” to “augmentation.” Leaders play a pivotal role here: by promoting transparency, involving teams in design discussions, and celebrating human-AI successes, they create a sense of ownership.

Organizations pioneering this shift often describe their workplaces as “symbiotic ecosystems” where human intuition guides machine precision, and machine intelligence amplifies human decision-making.

- Collaborative Ecosystems: Building Cross-Industry Bridges

Industry 5.0 thrives on collaboration across boundaries. Innovation accelerates when enterprises, startups, universities, and policymakers share platforms and goals. Cross-sector partnerships allow knowledge to flow from energy grids to manufacturing floors, from smart buildings to transportation systems. These networks create a collective intelligence infrastructure, where data, AI models, and human expertise evolve together.

Such ecosystems also ensure that progress is inclusive and sustainable bringing smaller organizations, emerging economies, and diverse talent pools into the conversation. Because the future of industry is not built in silos it’s co-authored through partnership. When humans and AI systems learn, create, and decide together, we don’t just build smarter industries we build wiser ones. Industry 5.0 is not the end of automation; it’s the beginning of augmented collaboration.

Let’s Connect

If you’re exploring how Industry 5.0 and Agentic AI can reshape your enterprise whether in smart buildings, Oil & Gas energy networks, city systems or heavy industry let’s have a virtual coffee and explore ideas together. We can map your value chain through an Industry 5.0 lens, identify high-impact AI use-cases, and build a roadmap for sustainable, human-centric transformation.

Also, welcome to join our Industry 5.0 group "HERE" a community of executives, innovators and practitioners who believe technology works for people, not the other way around. Join the conversation, share your insights, pilot stories, and best practices. Let’s shape the future of intelligent, human-centred industry together.

55:Te70,

With GITEX 2025 just around the corner, Atelic is excited to announce the launch of “Atelic Studio”. An Industry specific solution for the key UAE verticals of Energy, Health & Manufacturing. These 3 industries alone made up more than half of the United Arab Emirates economy in 2024 and are crucial enterprise level clients and customers.

Ben Owen (CEO & Co-Founder) said that he believes the world will change once Enterprise grade, trusted AI is used more widely. He continued saying that “We know that every enterprise customer approaches their business slightly different, but having a combination of experts in specific industries, who are also AI experts means we can actually build solutions that have impact and ensure these solutions are then tailored for each customer outcome. It’s this optimism that has led the 6-month old startup to enlist Amr Awadallah to join their board as a strategic advisor.

Dr. Amr Awadallah is no stranger to the GCC or the global technology landscape and has founded many unicorns, one of which was sold for $5.3B US Dollars. A co-founder of Cloudera, a former Vice President at Google Cloud, and now Founder & CEO of Vectara, he brings decades of experience in building transformative platforms.

Amr Awadallah joins Atelic as Board Advisor

Speaking from his home in California, Dr. Awadallah said: “When the team at Atelic approached me, I recognized their unique strength & positioning. They are bringing deep industry expertise with Enterprise grade AI solutions to the market. That capability is sorely missing in today’s AI landscape and I am excited to help mentor them and look forward to seeing the meaningful impact they will deliver for customers.”

“The Atelic ‘Studio’ Suite of agents includes the term ‘View’ as a representative of what we aim to achieve as the Human + Agentic partnership takes hold”. Said David Chalklen, Chief Marketing Officer. He continued, “Having a supervisory VIEW of data, workstreams, other agents, issues & analytics all combined while using NLP is what our customers asked for, and we delivered”.

The aptly named “PlainVIEW” is for Energy & ensures drilling agents & data-lakes are co-ordinated for advanced maintenance. The “MedVIEW” is for doctors to quickly & seamlessly access & review patient file data & co-ordinate with admins for bookings & follow-ups. The “CityVIEW” is for managed buildings & shopping malls to ensure sensor & diagnostic data is streamlined & maintenance anticipated. The team is excited to demonstrate their tools at the GITEX Dubai event, Oct 13 – 17 and will be at the Government Pavillion with ReachDigital in Hall 18, Booth 30.

About Atelic

Challenging the status quo of traditional AI consultancies, Atelic introduces Services-as-a-Software (SAAS²) to drive real business value and trust in AI for enterprises across the GCC. We empower organizations with immediate, measurable outcomes through prebuilt generative AI and agentic solutions, coupled with immersive training and uncompromising data security.

Atelic awarded a UAE Cyber Security Award in May 2025

David Chalklen
CMO | ATELIC
+971 54 214 5686

Visit us on social media: LinkedIn

56:Tda0,

A groundbreaking AI solutions company, ATELIC, has officially launched in the UAE with a bold mission: To redefine how enterprises across the Middle East generate real business value from Artificial Intelligence. Atelic was founded on a simple principle: AI must deliver a clear return on investment from day one.

“Too often, companies pour resources into AI without understanding the value it will bring to their business,” said Ben Owen, CEO and co-founder of Atelic, and former executive at AWS, SAP, and IBM. “Our approach is different; we work backwards from the customer’s business outcome. Our INDUSTRY EXPERTS start by listening to the real problem, then we partner with clients to target specific challenges and deploy agentic AI solutions that deliver measurable results.”

CEO & Founder of Atelic, Ben Owen

Ben added, “We chose to begin with Energy, Healthcare, Manufacturing, and Smart Cities/Buildings because these sectors stand to gain the most from enterprise-grade AI, and that’s where our impact can be immediate and significant.”

From deploying prebuilt, enterprise-ready generative AI and agentic frameworks to upskilling teams through immersive training, Atelic empowers organizations to achieve immediate, measurable outcomes, without the typical complexity or overpromising. This approach is embodied in Atelic's pioneering "Services-as-a-Software (SAAS²)" model, which challenges the status quo of traditional AI delivery. Atelic believes in delivering business value as a subscription which allows the customer flexibility and ensures positive outcomes. Atelic delivers ROI-driven engagements that turn AI from a buzzword into a revenue accelerator.

With the recent MIT survey showing that 95% of enterprise AI pilots fail not because of technology, but because organizations avoid friction. The familiar IT challenges of trust, security, and data management are amplified within enterprise AI. In the GCC, where data residency and sovereignty are paramount, most organizations remain data-rich but siloed. Atelic stands apart by delivering solutions built by INDUSTRY EXPEERTS, designed for these realities, and powered by their pre-built accelerators, so customers can focus on business outcomes, not technology.

"We know the Middle East has the potential to become a global leader in AI," says Romain Picard, Chief Sales Officer “Atelic is positioned at the intersection of innovation, security, impact, and trust. We're not just building projects, but business solutions that can scale for all enterprises."

With its global ambition, and strong regional support, Atelic is poised to become one of the Middle East’s most influential AI companies, and a force driving the region’s leadership in the global AI economy.

About Atelic

Challenging the status quo of traditional AI consultancies, Atelic introduces Industry Expertise along with our Services-as-a-Software (SAAS²) model to drive real business value and trust in AI for enterprises across the GCC. We empower organizations with immediate, measurable outcomes through prebuilt generative AI and agentic solutions, coupled with immersive training and uncompromising data security.

David Chalklen
CMO | ATELIC
+971 54 214 5686

57:T1740,

In every relationship whether with a doctor, a therapist, or even a life partner the first step is always the same "to listen". Without listening, there can be no understanding, no trust, and no meaningful action.

And yet, in the world of technology we often forget this. Generative AI is booming, new models and platforms appear almost weekly, and the pace of innovation is breathtaking. But the real challenge for organizations is not knowing that AI matters, it’s knowing how to make it matter for them.

Too often, solutions are pushed into the market without truly understanding the industries, the contexts, and the real problems leaders face every day. Vendors speak before they listen.

This realization became the foundation on which my partners and I co-founded Atelic. Because we believe something essential is missing in today’s AI revolution "the ability to listen".

Listening as the Starting Point

When we started Atelic, our first conversations weren’t about which large language model to use or which frameworks to adopt. They were about people, about industries, about the frustrations we had seen first-hand, leaders being shown tools instead of being heard, employees being asked to adapt to systems that didn’t fit the way they actually work.

We asked ourselves a simple question, what if we reversed the order? What if we started by listening, deeply and consistently, before even thinking of proposing a solution?

That shift in perspective is where the magic happens. When a client feels genuinely heard, when they sense you understand the heart of their problem, they begin to share what really matters. And that is the foundation of solutions that create impact and return on investment.

The Meaning of “Atelic”

Even our name reflects this philosophy. “Atelic” comes from a term that means nothing is ever truly finished. Everything evolves, adapts, and grows.

And in the world of generative AI, nothing could be truer. Technology moves at incredible speed. A system that feels cutting-edge today can be outdated tomorrow. If you cling to the tool, you will always be behind.

But if you anchor yourself in listening, in adaptation, in an ongoing dialogue with your clients and their industries, then you build something far more resilient "trust".

That is what Atelic is meant to embody.

Specialization Matters

Most of the players in generative AI today are technology-first. They showcase their models, their platforms, their capabilities. And while that’s exciting, it leaves a gap. The gap between raw technology and the real, messy, specific needs of industries.

Atelic is intentionally different, we focus on verticals healthcare, finance, automotive, retail, and beyond. Because every industry has its own language, its own rules, its own pain points.

And there is another vertical we consider absolutely critical that are governments and public organizations. Ministries, agencies, and state bodies are, in our view, the true guarantors of security, health, and the overall organization of society. They play a fundamental role in building a sense of well-being and trust within communities.

Yet, these organizations often face even greater complexity, fragmented processes, heavy structures, and the constant pressure of public responsibility. They need tailored support more than ever. At Atelic, we dedicate significant energy to understanding their unique challenges, because helping them succeed means helping society as a whole to thrive.

Our ambition, therefore, is not just to deliver technology. It is to stand as a trusted advisor helping clients, whether private or public, navigate both the rapid changes in technology and the evolving challenges of their industries and societies.

The Best of Both Worlds

Atelic is not only about empathy and listening. We combine this philosophy with the best technologies and highly skilled people.

On the technical side, we work with cutting-edge tools and frameworks, and on the human side, we bring in experts who deeply understand both AI and industry-specific challenges. This is why we are convinced that the time for true co-development has come. With empathy, listening, and knowledge of our clients’ worlds, we can finally create solutions that are not only powerful but truly relevant.

More Than Technology: A Human Journey

Atelic was never just a technological project. It has always been at its core, a human journey. We built it so our employees feel part of something meaningful, where their voices count.

We designed it as a place where partners collaborate and co-create. We envisioned it as an environment where clients are not just recipients of solutions, but contributors to them. Because if there’s one conviction that unites us, it’s this: sustainable value can only be created when listening, adaptation, and human expertise are at the center.

Listening Before Showing

So here’s our promise: at Atelic, we don’t start with a demo. We don’t show up with a pre-packaged solution.

We start with a conversation.

To the leaders, decision-makers, and innovators reading this, before you ask us to show you what we’ve built, give us the chance to listen to your world, your needs, and your challenges.

After all, isn’t that what we expect from our doctors, our therapists, even our life partners? That they offer us space to be heard, before they try to respond.

At Atelic, we believe the same applies to technology. And that’s why we always begin with an open ear. This is the journey we’re on, if it resonates with you, we’d love to hear your story.

Romain Picard,
Co-Founder

58:Tb9c,

The “Recipe” for a Safe Medical AI

Base Model: Gemini 2.0 Flash

Specialized Agents:

Dialogue Agent: Conducts patient interviews, gathers files, drafts summaries, and suggests possible differential diagnoses.
Guardrail Agent: Ensures no individualized medical advice is given, protecting patient safety and compliance.
SOAP Agent: Generates complete Subjective, Objective, Assessment, Plan notes, plus a patient-friendly draft message.

Clinician Cockpit: A dedicated interface for physicians to review, edit, and finalize all outputs.

Strict Guardrails: All clinical decision-making remains in the hands of licensed healthcare professionals.

How Google Validated the Healthcare AI

The system, called g-AMIE, underwent testing with 60 clinical case scenarios designed by an Objective Structured Clinical Examination (OSCE) lab.

Three groups were compared under identical “no medical advice” rules:

g-AMIE
Early-career primary care physicians (PCPs)
Nurse practitioners/physician assistants (NPs/PAs)

Independent physicians scored each group on:

Quality of history-taking
Completeness of SOAP notes
Diagnostic appropriateness
Demonstrated empathy

Key Results from the Study

0 guardrail breaches: g-AMIE did not provide personalized medical advice in any case.
Superior SOAP note quality: More complete and accurate than both human control groups (p < 0.05).
Better patient communication: Patient-friendly messages were accepted in most cases and often preferred by patient actors.
Improved physician workflow: Oversight PCPs reported a smoother experience reviewing g-AMIE cases compared to human-initiated ones.

Why This Matters for AI in Healthcare

This research is a strong proof-of-concept that AI can enhance healthcare workflows without replacing clinicians or compromising safety.

By combining:

Multiple specialized agents
Strong guardrails
Rigorous real-world validation

Google demonstrates a blueprint for safe, reliable medical AI deployment.

Read the full research “cookbook” here: Google Research Paper

Final Thoughts:

AI in healthcare doesn’t have to be a compliance risk, with the right design and oversight, it can become a trusted clinical partner. At Atelic its our intention to be extremely cautious and work within the guardrails of our partners, customers and solutions providers. Having experienced first hand the risks and watchouts we are well positioned to solve your biggest challenges.

Contact Kate@atelic.ai to discuss your healthcare needs.

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Are you wondering what the UAE Decree 11 means for your property, building or community?

\n\n\n

Our Dr. Omid Givehchi has outlined some simple and effective ways to begin the simple and straighforward approach to reporting using AI.

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Does your company struggle with Data Silos? Its not the model that wins, its the data architecture and the context behind the model that will be the difference.\n\n

Our CDO, Koceila Barchiche outlines the 4 steps every organization needs to take in order to be successful in the magic of AI.

\n\nGet in touch to learn more on how we can help your company succeed.\n

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4 Health Systems, 3 real use cases.

\n\n\n

Our Dr.Kate Kondrateva describes how AI systems in Healthcare are being used globally to accelerate patient care.

\n\n

From the first touch patient experience to explaining how ATELIC MEDVIEW is building the AI connective layer which allows for AI enabled operations and patient access and flow.

\n\n

Download the PDF below for the full insight.

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