Custom AI chatbot, trained for your business

We start with a scope conversation to understand users, processes, systems and constraints. On that basis we propose a useful first release and the assumptions that drive timeline and budget.

Yes. We review APIs, data quality, permissions and which system is the source of truth before building the integration. This avoids duplication, excessive access and hard-to-maintain automations.

This landing focuses on you need a conversational assistant embedded in your product and trained on your data and business rules, not a generic template chatbot; an AI document agent solves a different need. Keeping the two decisions separate avoids buying the right solution for the wrong problem.

Your company owns the delivered source code, repositories, configurations and documentation. We use no proprietary licence that requires you to remain with Q2BSTUDIO.

It depends on the priority journeys, integrations and security requirements. We prefer to agree a working first release and measure its use before expanding the scope.

Yes. We work remotely with the same review rhythm, demonstrations and accountable owners regardless of where your team is based.

We apply least privilege, access control, traceability and integration validation according to the project context. The security level is agreed before data is connected or the solution is released.