The AI Agents that Promise to Revolutionize Work

After chatbots and Gen AI-powered Apps, Autonomous AI Agents are emerging as a game-changer for business operations. 

You’ve likely heard the buzz: AI agents are being called the next major technological revolution in business. But what truly sets them apart from a simple chatbot? And more importantly, how can they create real value for your organization?

Unlike current tools that only answer questions, these agents act autonomously to execute complex tasks, thus redefining the way humans and machines collaborate.

“We’ll be increasingly assisted by these agents—they will be the new digital workers.” says Béatrice Rollet, CTO at Inetum.

To unlock their full potential, it’s essential to understand both their capabilities and their limits.

From Chatbot to Autonomous Agent: a strategic leap forward for any enterprises, any business processes

The Inetum “Modern AI” white paper highlights this new disruptive ai evolution. 

Imagine an agent that can analyze a document, extract key insights, cross-reference internal databases, and generate a tailored response—all autonomously and 24/7!

What does it mean for the client experience? It will radically change the way businesses operate their customer experience center, providing end-to-end AI-assisted operations: handling inbound chats/calls, authenticating customers, resolving cases or claims, or rebooking proactively during disruptions, and triggering personalized offers/vouchers through multiple orchestrated agents.

These agents will facilitate coordinating action across the organization in a context where SaaS adoption has siloed it. They will be catalysts for intelligent automation everywhere in business.

“Using Autonomous AI agents at scale is vital for any organization, in any field. Hiring agents to complete your pool of talents is the new way to stay competitive and attractive.” says Beatrice Rollet.

Pitfalls to Avoid

• Probabilistic Nature: Agents can hallucinate, producing plausible but incorrect outputs. Human oversight remains essential.
• Wrong Boundaries: Agents excel in content generation, customer interaction, and process optimization, but fail in scenarios requiring 100% accuracy.
• Performance limitations: Agents can balloon token usage, API calls, and compute, which drives up cost and latency under production load.
• Evaluate agents on CLASSic dimensions (Cost, Latency, Accuracy, Stability, Security).

Industrial-Grade Approach Required

Successful deployment of Autonomous AI Agents demands:

• Robust infrastructure, data, and model governance
• Continuous performance monitoring
• Strong security, ethics and compliance frameworks

“Without a solid technical foundation and mastering its business process, these projects fail,” reminds Beatrice Rollet. “Data quality is non-negotiable—poor data means poor outcomes.”

The stakes are high: every company must think like a tech company. Those who fail to embed these capabilities risk becoming niche players.

The Future

The most forward-thinking companies that integrate AI agents into core processes will unlock radical gains in efficiency and innovation. With disciplined execution, these digital workers will reshape the way we work, consume and collaborate.