Hyperautomation

Your fast lane from AI to value

Why AI needs Hyperautomation to deliver value

Hyperautomation is not about adding more automation or more AI.

It provides a structured way to redesign how work flows across processes, teams and systems, allowing AI-driven value to scale beyond isolated initiatives. In doing so, Hyperautomation turns experimentation into repeatable business impact.

Why AI needs Hyperautomation

AI Hype vs Hyperautomation

Let's skip the hype!

Your challenge

The AI hype is real, but business value remains elusive

AI is everywhere. Pilots succeed, demos impress and ambition is high. Yet for many organisations, real business impact remains out of reach. AI initiatives stall after early success, automations fail to scale and value stays locked in isolated experiments.

AI isn’t the problem. Missing foundations are. Fragmented data, fragile architectures, unclear ownership and limited adoption prevent AI from becoming part of everyday work. Without strong foundations, AI remains impressive but ineffective.

Our answer

Hyperautomation as an organisational capability

Hyperautomation closes the AI value gap by turning isolated pilots into an organisational capability: value-stream driven, supported by data and integration, governed through a clear operating model and adopted through trust and skills.

As a result, AI and automation move from isolated initiatives to an integrated way of working. Decisions are embedded where work happens, workflows span systems and teams and value is created end to end rather than in fragments. Hyperautomation makes AI scalable, reliable and valuable. Not just impressive in pilots, but effective in daily operations.


Smart Process Automation

Smart process automation

Orchestrates end-to-end value streams by combining automation and intelligence at scale.

Intelligent apps

Intelligent apps

Brings AI into everyday applications, supporting people where work happens.

Augmented Decisioning

Augmented decisioning

Strengthens human decision making with data and AI directly in workflows.

AI Solution Platform

AI solution platform

Provides a scalable, governable foundation for Hyperautomation.

The AE Hyperautomation framework

AE Hyperautomation Framework

Turning AI into sustained operational impact

Hyperautomation succeeds only when multiple foundations reinforce each other. Our framework connects the essential layers required to turn AI potential into scalable business impact, not just local efficiency.

A clear direction that ties AI initiatives to business value, prioritisation and continuous learning.

Clear ownership, governance and ways of working that translate strategy into execution.

End-to-end orchestration where AI supports decisions and automation executes them consistently across workflows.

API-driven, cloud-enabled and modular architectures designed for integration and continuous change.

Trust, skills and adoption embedded through structured change and continuous reskilling.

Hyperautomation in action

As AI becomes an integral part of how organisations operate, we support them in embedding AI into their operations in a deliberate and sustainable way. Not as a concept on paper, but as a capability that delivers tangible impact in day-to-day work.

SDWorx

Intelligent virtual assistant

Unlocking 100,000+ documents and effortlessly onboarding employees

SD Worx struggled with information scattered across 100,000+ internal documents. AE implemented a multilingual AI assistant that delivers instant, context-aware answers in employees’ daily workflows, cutting information search time from two days to just 20 minutes and boosting onboarding efficiency.

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AI-driven automations

Redefining the property management business with AI

Property managers were struggling with rising administrative pressure, fragmented tools and complex regulations. AE built an AI-ready digital operating platform that orchestrates end-to-end workflows. Early results show reduced manual workload and improved operational control, with further efficiency gains expected as automation expands.

Mediagenix

Sustainable AI adoption

Kickstarting AI adoption & designing an AI-driven organisation

For Mediagenix, AE mapped the existing AI landscape and defined an actionable strategy, including the foundations for governance, culture and technology, in just 100 days. Through short, iterative cycles, the organisation is now ready to embed AI sustainably into business-as-usual operations.

 

 

Automated AI workflow

A fully automated AI workflow with effortless human certificate review

Facing a time-consuming manual process, a leading textile trading company partnered with AE to implement an AI-driven workflow that automates document ingestion and data extraction while keeping human validation effortless. The result is a faster, scalable process ready for future automation.

Jan De Nul

Enabling developer autonomy

Give development teams autonomy to innovate, while IT retains control

A multinational company specialising in maritime, civil and environmental projects wanted to accelerate digital delivery without compromising security or governance. Together with AE, it implemented a cloud-native platform with predefined Golden Paths—enabling faster, more consistent delivery while giving teams autonomy within clear guardrails.

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Ontwikkel kritieke monitoring-frameworks voor satelliettechnologie

Een AI-model ontwikkelen dat vraagvoorspellingen optimaliseert, waardoor risico's op prijsvolatiliteit en stock problemen fors dalen.

Scherm­afbeelding 2025-08-12 om 10.25.39

Ontwikkel kritieke monitoring-frameworks voor satelliettechnologie

Een AI-model ontwikkelen dat vraagvoorspellingen optimaliseert, waardoor risico's op prijsvolatiliteit en stock problemen fors dalen.

Scherm­afbeelding 2025-08-12 om 10.06.27

Curious about how to take the fast lane from AI to value?

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The AI & Hyperautomation Navigator

The AI & Hyperautomation Navigator: everything you need to know to turn digital ambition into real business value

Wondering how you can jump from AI experimentation to creating actual business value?

Our Hyperautomation navigator shows how to overcome common pitfalls, build the right foundations (data, platforms, governance, adoption), using proven frameworks, expert insights and real-world use cases to design AI-powered workflows with measurable impact.

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Hyperautomation: a framework for scaling AI to organisation-wide results

AE's Hyperautomation framework for scaling AI to deliver organisation-wide results

Organisations invest in data platforms, AI teams and smart tools, but the impact remains local and short-lived.

Kevin Stobbelaar, Data & AI Director at AE, explains why this is not a technology failure but an operating model problem. He introduces AE’s Hyperautomation framework, a practical way to embed AI end-to-end into processes, decision making, governance and accountability, so AI value becomes structural instead of experimental.

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Closing the gap between AI experiments and business value


Closing the gap between AI experiments and real business value

AI pilots are easy. Making them matter is not. This podcast explores how Hyperautomation connects AI, data and workflows to turn experiments into business impact. 

Our experts Lode, Hyperautomation expert, Gertjan, AI specialist, Thibauld, specialist in data platforms and integration and Liesbeth, transformation expert share practical insights on what works, what fails and why. Together, they challenge assumptions and show what it really takes to embed Hyperautomation into day-to-day operations.

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From AI hype to operational reality: how Hyperautomation enables business value


From AI hype to operational reality: how Hyperautomation enables scalable business value

AI experiments succeed, yet the business barely changes. Discover why most AI initiatives stall after the pilot phase and how Hyperautomation turns isolated intelligence into operational execution.

Read the full article

 

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