Agentic AI in the Enterprise: The New Performance Standard

Raphaël Fétique, President and Co-Founder of Converteo, has been a data and digital expert for over 15 years. A graduate of Télécom Paris and HEC, he co-founded Converteo in 2007 with Thomas Faivre-Duboz.*

Key Takeaways:

• The shift to execution: If generative AI was the musician, agentic AI is the conductor, capable of orchestrating end-to-end business processes.
• The augmented employee: Autonomous agents now act as productive resources. Deploying them requires strict governance and clearly defined operational scopes.
• Data as the strategic foundation: An agent’s effectiveness relies on a structured data infrastructure. Mastering your data is the only way to eliminate friction and drive ROI.
• Systemic transformation: The 3-to-5-year roadmap points to a complete operating model overhaul, tech stack unification, and the dismantling of silos.

From Generative to Agentic AI: The Era of Business Execution

Generative AI has proven its worth: copywriting, summarization, and content creation at scale. But a major disruption is underway: the shift to agentic AI. This technology moves beyond generation to actual execution, interacting directly with the enterprise software ecosystem to make qualified decisions and drive concrete actions.

This evolution marks a massive leap in operational complexity. The multimodal architecture of these agents allows them to coordinate multiple applications and automate sophisticated workflows. This push is fueled by the demand for hyper-productivity and a zero-tolerance policy for friction in the customer experience. In 2026, these standards are redefining competitiveness and accelerating the obsolescence of previous tech cycles.

From Tool to Virtual Teammate: The Rise of Agentic AI in the Enterprise

The initial curiosity sparked by the first self-driving car tests on the streets of San Francisco quickly morphed into a seamless experience, where the ecosystem became a natural human-machine hybrid. Similarly, we must now view enterprise agentic AI deployment as onboarding a new capability, not just buying an IT tool. You are essentially drafting a full “job description”: the agent drives a task from point A to point B while remaining under the user’s constant supervision.

This is where our vision of the augmented employee takes shape. For example, one of our partners re-engineered how their consultants handle complex financial dossiers. Previously boxed into a time-consuming, reactive role at the end of the fiscal year, they now rely on a robust agentic application built in just 2 to 3 months. This smart agent runs year-round on the client’s side to collect, sort, and qualify data in real time. The human worker moves away from strict administrative execution to become the editor and supervisor of a solution that exponentially scales their impact.

Data Governance is the Backbone of Agentic AI ROI

The success of agentic AI relies on systemic transformation. Much like the electrification of factories, you cannot just bolt on a tech layer; you must rethink the entire infrastructure. Security, regulatory compliance, and rigorous data asset management are non-negotiable variables.

Controlling information flows directly dictates the agents’ ability to operate flawlessly. Without a rock-solid data strategy, scaling is impossible.

2026-2030: The Timeline for Operating Model Transformation

Industrializing agentic AI is a continuum. The complete transformation of operating models will unfold over a three to five-year period, depending on industry maturity. Historically, internal processes were designed around human limitations (fatigue, error rates). Agentic AI shatters those constraints, unlocking unprecedented operational efficiency.

The exploration phase is over. Agentic systems are moving out of the labs to prove their real-world efficiency and ability to generate quantifiable ROI. For enterprises, the immediate imperative is to initiate this technological pivot to secure their market position and avoid an irreversible tech deficit.

To dive deeper into these strategic challenges and explore our full analysis, watch the replay of our RUNTIME.AI session on YouTube.