About | Vincent Kopa

Building tools that make collective work clearer

Founder and CEO of Ovyka since 2009, Vincent Kopa works on enterprise collaboration platforms, DevOps, automation and AI-related integrations. On this website, he considers these subjects through the lens of information sharing, decision-making and the way teams work together.

Vincent Kopa began his career at Société Générale as an engineer, from February 2007 to March 2008, then worked in technology research and innovation until December 2010. In 2009, on his 25th birthday, he founded Ovyka.

Growing Ovyka through projects and trust

Since then, Vincent Kopa has grown the company while remaining directly involved with its clients and the projects it delivers. He has advised some of the largest companies in France and internationally, including several CAC 40 groups, on projects where technology choices must meet demanding requirements for governance, security, integration and adoption.

Their trust, built one engagement at a time, has enabled Ovyka to progress, deepen its expertise and build a reputation in France for the quality of its work.

Collaboration platforms, ITSM, DevOps, automation and information-system integrations: these engagements have led to projects across a wide range of companies. Some of the platforms designed, integrated or transformed with Ovyka are used by several thousand employees within a single organisation. Across the different deployments, the combined number of users runs into the tens of thousands.

Four principles shaped by Ovyka’s experience

Frame before configuring.A useful platform begins with the decisions, responsibilities and journeys it must enable, not with a list of features.
Reduce debt before accelerating.Migrating or automating an unreadable model often merely moves its complexity. Inventory and rationalisation are part of the solution.
Govern exceptions.Teams need autonomy, but a sustainable platform requires standards, identified owners and a clear mechanism for deciding how exceptions are handled.
Measure adoption, not only delivery.Go-live is a milestone. Outcomes are visible in use, information quality and the decisions teams can make more easily.

Make AI a controlled system of work

The same requirements apply to AI agents and automation. Connecting a model to Jira or Confluence is not enough when a task requires aggregating large volumes, producing a reproducible result or embedding a decision in a process. Data, indexes and calculation tools must then be prepared, responsibilities divided between specialised agents, and the right human validation retained.

Read the perspective on MCP and data Explore the documented cases

Connecting technology, practical use and decision-making

This hands-on experience underpins a conviction: a technology project only creates lasting value when it makes information more accessible, decisions clearer and teamwork more effective. Vincent Kopa’s publications examine enterprise platforms, automation and AI through their practical uses.

For services, expertise and commercial references, the Ovyka website presents the company’s complete delivery framework.

Browse all publications Ovyka references (opens in a new tab)