A demo chatbot is easy. The hard part is an assistant that reads the systems you already use, takes a bounded action, and leaves a record a person can check.
We start with an AI readiness audit: where the work actually sits, what data it touches, and what should stay with a person. Then we automate one workflow end to end before expanding.
That might be an agent inside your product, a handoff between your CRM and inbox, or an internal tool your team uses every day. You see it on a staging link, in your repository, with your keys in your accounts.
Care plans are available after launch: monitoring, fixes, and small improvements every month. Or we hand over documentation so your team can take it from there.
A good fit when
- You have a workflow people still copy between tools.
- You want an AI feature in a product customers already use.
- You need a written plan before anyone fine-tunes a model.
Questions
Do you only wrap a chat window around our docs?
No. Chat is one interface. We connect the model to the systems the work already lives in, with a person able to review what it did.
Who holds the API keys and the data?
You do. Keys live in your accounts, and the code lives in your repository from the first week.