Intelligent Automation
Agentic AI represents the next major shift in digitalization — enabling organisations to automate complex, knowledge-intensive workflows in ways that were impossible with traditional methods.
What are AI Agents?
AI Agents are fundamentally different from traditional, rule-driven automation tools such as RPA, workflow engines or chatbots. Yet many use the term "agents" loosely.
Most agentic offerings today are isolated scripts or LLM wrappers — designed to execute predefined workflows and to solve isolated tasks - not true agents that can operate autonomously, safely and reliably inside an enterprise.
True AI Agents
True AI agents can autonomously plan, reason and carry out tasks towards clearly defined goals. They have memory, understand context, analyze data, make decisions, call functions and interact with other systems and people.
To function safely and effectively, true enterprise-grade agents require:
- A platform that manages, governs and scales them
- Orchestration so multiple agents can collaborate
- Strong security and data controls
- High performance compute for fast, reliable execution
- Monitoring and observability to ensure transparency and control
Why Private Agentic AI Matters
The shift toward private agentic AI is driven by a growing recognition that data security, regulatory compliance, and geopolitical stability are now strategic business concerns — not technical footnotes.
In recent years, the limitations and risks of public cloud–based AI have become increasingly visible.
Geopolitical uncertainties and legislation such as the US Patriot Act are prompting European enterprises to question the long-term reliability of US Big Tech infrastructure.
Companies are seeking AI solutions that protect critical business assets by keeping them inside secure, controlled environments.
The regulatory landscape reinforces this direction with stricter enforcement around GDPR and the introduction of the EU AI Act.
Private agentic AI has emerged as the answer: giving enterprises the intelligence and automation power of modern AI while ensuring full data control, legal compliance, and operational safety.
Key Value Drivers
Agentic AI has the potential to transform how companies work — by automating entire workflows, reducing manual effort, and accelerating how fast teams can act and innovate.
In practice, this means that agentic AI can generate substantial values by:
- Handling a wide range of repetitive, time-consuming tasks that normally require people to search for information, switch systems, make decisions, and update records manually.
- Revealing new insights from previously "hidden" data, supporting faster and better decision making across the organisation.
- Accelerating innovation by enabling teams to test new ideas, processes, services and customer flows - in days instead of months.
- Delivering consistently better operational outcomes — fewer mistakes, improved quality, and higher customer satisfaction.
The short-term benefits are substantial gains in productivity and reduced operational costs. Over time, as AI capabilities evolve, companies that adopt Agentic AI early are positioned to build a long-term competitive advantage powered by speed, intelligence, and scalable automation.
Intelligent Automation
Let AI agents automate up to 70–80% of manual workflows.
— Free up time
Operational Excellence
Consistently better outcomes — fewer mistakes, improved quality.
— Higher customer satisfaction
New Insights
Prompt new insights from hidden data in an intelligent AI layer.
— Make better decisions
Accelerated Innovation
Test new ideas in days instead of months.
— Transform and disrupt
Succeeding with Enterprise AI Adoption
For companies looking for real, measurable results from AI, commercially viable technology is finally available.
Moving Beyond Experimentation
Many organisations get stuck after early AI experimentation — running technical PoCs, deploying standalone chatbots, or testing individual point solutions.
These efforts often generate insights but rarely lead to scalable, safe, or cost-efficient real-world adoption.
To move beyond experimentation, companies need the right technical foundation, the right operating model, and the right organisational setup.
Agentic Success Factors
- A platform built for Agentic AI
- A private, sovereign environment ensuring full control over data
- Decentralized business ownership of agentic workflows
- A continuous operating model for scaling and optimisation
- Organisational readiness, trust and clear governance