The challenge
The client came to us with a clear goal — autonomous agents resolving the majority of tickets end to end. The hard part was keeping quality stable as models and prompts change.
Our approach
We started with a short discovery sprint to map the users, the data and the constraints, then moved into weekly cycles with working software in a shared workspace. Prototyping, Development and Product Research ran as one team, so research fed design and design fed engineering without handoffs.
The platform was built on LLM agents, RAG and Integrations, with automated tests and monitoring from the first release.
The result
60% auto-resolved. The product launched in 9 weeks and we stayed on for the releases that followed — fixing what users tripped over and doubling down on what they loved.
