How Endava Reinvents Software Delivery with AI Agents: Lessons for French Businesses

Digital transformation is entering a new era. Endava, one of the world's leading technology consulting firms, has just crossed a major milestone: the company has completely redesigned its entire software delivery chain around AI agents. Leveraging ChatGPT Enterprise and OpenAI's Codex, Endava automates workflows, accelerates development cycles, and builds what it calls an AI-native culture. For French businesses — industrial SMEs, consulting firms, software publishers, banks, or insurers — this concrete case study is not a distant curiosity. It's a strong signal: reorganizing work around artificial intelligence is now an operational reality, not a pilot project.

AI Agents at the Heart of Production: What Endava Really Changed

Endava didn't simply add an AI tool to its arsenal. The company restructured its processes around autonomous agents capable of executing complex tasks in sequence: requirements analysis, code generation, quality review, automatic documentation, and bug detection. This "agentic" approach — where AI no longer simply answers a question but drives a sequence of tasks — represents a fundamental qualitative leap.

In practice, Endava's teams use Codex to generate and refactor code, while ChatGPT Enterprise centralizes internal knowledge management, specification writing, and client communication. Result: shortened delivery cycles, better documentation consistency, and developers refocused on high-value tasks.

What this means for a French business: an IT department or a French IT services company can replicate this model by starting with identifying bottlenecks. Is it specification writing? Testing deliverables? Support ticket management? Each friction point is an ideal candidate for a first operational AI agent.

Workflow Automation: Three Immediately Applicable Use Cases

Endava's experience offers a practical framework for any organization looking to scale. Here are three scenarios directly applicable to the French business landscape:

1. Project Management and Documentation at Consulting Firms A Paris-based consulting firm can deploy an AI agent responsible for synthesizing meeting notes, automatically updating project plans, and generating progress reports for clients. What took a junior consultant two hours can be reduced to a fifteen-minute validation.

2. Software Development in Industrial SMEs An industrial SME that develops its own business tools (MES, customized ERP) can use Codex to accelerate application maintenance. Developers describe the desired modification in natural language, the agent generates corresponding code and proposes a suite of unit tests. The productivity gain estimated by Endava exceeds 30% on certain types of tasks.

3. Client Request Processing in Financial Services A regional bank or insurance company can orchestrate an AI agent capable of sorting incoming requests, pre-drafting compliant responses, and escalating only complex cases to a human advisor. This reduces processing times and improves customer satisfaction without increasing headcount.

In each of these cases, the key to success lies in designing a hybrid workflow: the AI agent handles repetitive and structured tasks, humans retain judgment, relationships, and final responsibility.

Building an AI-Native Culture: The Real Challenge for French Businesses

Endava doesn't just talk about tools. The company emphasizes the need to build an AI-native culture, meaning an environment where every employee understands AI's capabilities and limitations, knows how to use it in their daily work, and actively participates in improving augmented processes.

This is precisely where many French businesses stumble. Tools are available, licenses are purchased, but adoption remains superficial. Why? Because training often limited to product demonstrations without grounding in real business contexts. A corporate lawyer doesn't need a generic ChatGPT tutorial — they need to learn how to craft prompts tailored to contract review, regulatory monitoring, or case law synthesis.

Endava's lesson is clear: AI acculturation must be vertical, business function by business function, and progressive. This involves:

• Practical workshops grounded in the team's real use cases
• Designating internal AI champions who bridge IT and business functions
• Clear governance on data usage and GDPR compliance, particularly critical in France
• Continuous improvement rituals to capitalize on feedback and lessons learned

Team Training: The Investment That Determines ROI

No AI transformation succeeds without a structured training plan. This is the conclusion Endava draws from its experience, and it's the insight we see daily at Ikasia with our clients.

Training should not be designed as a one-time event, but as a continuous journey organized around three levels:

• Foundational level: understanding what an AI agent is, how large language models work, and what prompt engineering best practices apply to your role
• Operational level: deploying and configuring AI workflows in existing tools (Microsoft 365 Copilot, Salesforce Einstein, industry-specific tools), measuring gains, and iterating
• Strategic level: for managers and executives, understanding how to reorganize teams, redefine KPIs, and pilot AI transformation across the organization

The ROI of well-designed training is rapid. Clients in pharmaceuticals, logistics, and legal consulting have seen productivity gains of 20 to 40% on targeted tasks within three months of upskilling.

Is your business ready to enter the AI agents era?

Endava has shown the way. Tools exist, use cases are documented, and gains are measurable. What's often missing is structured support to adapt these approaches to your specific context: your industry, regulatory constraints, teams, and existing systems.

At Ikasia, we support French businesses through this transition — from defining your AI strategy to operationally training your teams, including identifying and deploying your first high-impact use cases.

👉 Discover our training and consulting programs at ikasia.ai and concrete take the leap into AI applied to your business.