Most enterprises no longer doubt what AI can do. They doubt their ability to make it work everywhere, reliably, inside real operations. The constraint has shifted. Frontier models are abundant and improving monthly; production systems built on them are not. What separates the organizations capturing value from those still running pilots is not access to better models. It is the operating model around them: the engineering, governance, and workflow redesign that turns a capable model into a dependable business result.
This is the gap the Infosys and OpenAI partnership is built to close.
In April 2026, Infosys announced a strategic collaboration with OpenAI, pairing OpenAI’s frontier models and products, including Codex, with Infosys Topaz Fabric, our composable, open agentic services suite. Infosys is also among the systems integrator partners in OpenAI’s Codex Labs program, which places OpenAI engineers directly alongside Infosys delivery teams. For clients, that means engineering attention from the people who build the technology, not only those who deploy it.
Capability meets a delivery system
OpenAI builds some of the most widely adopted frontier AI in the market. Codex alone surpassed five million weekly active users by mid-2026. Infosys industrializes that capability. Topaz Fabric is the layer between raw model capability and a business outcome: orchestration, governance, evaluation, and security applied consistently, so a solution behaves the same way in production as it did in the demo.
Two principles shape how we deploy it. First, engineering leads. Most enterprise code is not new code, and the legacy estate is where agentic AI compounds fastest, which is why our early focus is software engineering, legacy modernization, and DevOps. Second, multi-model by design. No single model family leads on every task, and the leaderboard changes quarterly. An open orchestration layer keeps switching costs low and means the recommendation follows the analysis. Within that framework, OpenAI is recommended where it genuinely leads, most clearly in agentic software engineering.
Proof, not promises
The partnership is new; the delivery experience behind it is not. Infosys has already put OpenAI models into production across ten enterprise engagements, with measured outcomes:
• A US department store chain with 500+ stores modernized COBOL-based systems to the cloud using OpenAI GPT models and Infosys iLEAD accelerators, cutting modernization effort by 25 to 30 percent.
• A US financial services firm replaced fragmented internal support with a OpenAI GPT powered federated-search assistant, reducing Level 1 support effort by 85 percent and responding 60 percent faster.
• A European financial markets provider serving 44,000 customers used GPT-4o to rationalize overlapping code, a 95 percent reduction in the effort to generate code insight.
• A European professional services firm automated audit operations with a multi-agent system, removing more than 40 percent of manual effort and accelerating audit cycles by more than 45 percent.
These sit within a broader portfolio spanning HR, financial services, retail, supply chain, compliance, and audit, from a semiconductor manufacturer’s HR assistant answering 25,000 queries a year at 95 percent accuracy to sub-five-second document search for a European bank.
What this means for your organization?
The pattern across these engagements is consistent. Value comes from treating AI adoption as operating-model design, not tool procurement. The organizations pulling ahead have redesigned workflows, led with engineering, built trust infrastructure early, and funded outcomes rather than experiments. Organizational learning, unlike a license, cannot be bought retroactively, so the gap between early industrializers and everyone else will widen over the next two years.
OpenAI provides the frontier capability. Infosys provides the operating model that puts it to work across real business environments. Together, we help enterprises close the distance between AI ambition and production results.
Start the conversation
The Infosys OpenAI Center of Excellence is the home of this partnership: certified architects, forward-deployed engineers, industry consultants, and direct engineering collaboration with OpenAI. Most enterprises begin with a short AI value-discovery assessment, then take a priority use case to production standards before scaling. Your Infosys engagement team is the starting point or reach the CoE directly at TopazOpenAI_CoE@infosys.com.
