AI assistants, automation and data-driven features built into the products we ship.
From customer-facing assistants to internal automation, we build AI into real products: grounded answers from your own data, automated handoffs, and decisions backed by numbers rather than guesswork.
It is grounded in your knowledge base only, with a confidence threshold: below it, the conversation goes to a person instead of guessing. Every conversation stays reviewable.
Agreed in writing before implementation: what is stored, where, and how it is deleted. Nothing is shared without your knowledge.
That is what we recommend: one channel or one question type, measured, then widened.
After we understand the scope. You get a range and a timeline before any commitment, and any scope change is re-agreed in writing.
It depends on scope. We split the work into stages, each with a date and a visible deliverable.
We stay on for an agreed follow-up period. After that you can continue on support or hand it to your own team — the code and documentation are yours.
Usually what we recommend. Start with the smallest version that can run and be measured, then grow on real numbers.