Enterprise-grade agentic AI: Secure, governed and sovereign by design
Move from AI pilots to production with governed autonomy, trusted data and full control over value, risk and cost
Secure, governed and sovereign by design
Agentic AI is to the modern enterprise what electricity and the internet were to previous generations—and that’s why it’s one of the three key growth pillars of Atos’ strategic pillars program.
Enterprise-grade agentic AI is moving at breakneck speed. Spending is forecasted to grow at a CAGR of 119% to $752.7B by 20291 and it’s predicted at least 15% of day-to-day work decisions will be made autonomously through agentic AI by 2028—up from 0% in 20241.
But as AI moves from experimentation to business-critical operations, the challenge is no longer building intelligent agents—it’s ensuring they act securely, make transparent decisions, and scale responsibly across your organization.
1. Gartner Forecast: AI Spending, 4Q25 (December 2025). AI Software segment, Table 1-2.
Embedding agentic AI in enterprise operations
To create lasting value, you need to scale AI securely, manage costs effectively, and maintain control as autonomous systems become part of your core operations. Agentic AI must be treated as production software—and defensible value needs to be demonstrable.
At Atos, we therefore believe that agentic AI is more than just a technology challenge—the business, operating model, and human factors are equally important. That’s why we help design mission critical agentic AI systems that operate reliably in regulated environments.
Built with governance, security, and responsibility at their core, these systems enable trusted autonomy where continuity and control are essential. Our approach helps you scale AI safely and turn autonomy into controlled, measurable outcomes with confidence.
The benefits of our approach to agentic AI
55-75% of incidents resolved end-to-end without human intervention, under confidence based controls
20-35% reduction in operational costs, while improving service reliability and SLA adherence
20-40% reduction in mean time to repair (MTTR), driven by faster diagnosis and automated remediation
Case in point: 55-75% of incidents are now resolved end-to-end without human intervention after we helped a client scale incident resolution with our agentic AI digital engineers.
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