Client story How Agentic AI Rewrote Enterprise Delivery Rules | Insight AI

Challenge

Ailys Group faced a structural problem that no off-the-shelf software could solve. Biomethane production operates under rigorous EU and local regulatory frameworks, where every stage of feedstock collection, processing, and certification must be fully traceable and audit-ready.

The existing approach relied on manual administration, multi-platform coordination, and fragmented data, creating serious exposure to compliance risk and human error.

Solutions and outcomes

Insight AI proposed something bold: treat the entire delivery lifecycle as the transformation opportunity. It was Agentic AI: a system where AI operated as an autonomous team member across development, QA, design, business analysis, and delivery management. Agents drafted; senior engineers decided. AI absorbed repetitive generation and testing; humans owned architecture, compliance, and judgment.

In 178 days, Insight AI delivered a fully functional MVP, 6.6× faster than classical delivery models. Development speed increased 5.7×, rework dropped 3.4×, reported bugs fell by 61×.
The team delivered 9× more code per month while maintaining quality. The client awarded a perfect NPS of 10/10.

Ailys Group can now manage, verify, and document the full feedstock procurement and sustainability compliance lifecycle in a single auditable system.

Why Insight AI?

We were chosen because we offered a transformation model: our AI SDLC, where autonomous agents operate across every delivery function, was itself built using our Agentic Solutions practice. We developed it ourselves and deployed it here.

Three distinct offerings, Rapid AI, AI SDLC, and Agentic Solutions take clients from idea to production at a pace classical delivery cannot match.