Questions we get.

A custom AI system that performs a defined operational workflow inside the tools and systems you already use — researching accounts, processing documents, updating records, preparing follow-ups, routing requests, reconciling information, escalating what needs a person. It is not a chatbot and it is not a general assistant. It has one job, a defined set of permissions, and a defined line above which it does not act on its own.

A consultancy may leave you with a strategy. A development shop may leave you with a repository. We stay responsible for operating and improving the coworker in production — hosting it, monitoring it, handling its exceptions, supporting the people who work alongside it, and adapting it as the workflow changes. The implementation is a phase. The operation is the service.

Three parts. Discovery: we select one workflow, size the opportunity, and produce a decision map. Implementation: the coworker is built, integrated, tested, and deployed for an agreed fee. Managed operation: a monthly fee covering hosting, monitoring, support, governance, exception handling, reporting, and continuous improvement. Volume-based pricing is included where it makes sense.

We break the workflow into individual decisions and rate each one on two separate dimensions: how much judgment it requires, and what the consequences are if it is wrong — including whether the action can be reversed. Each decision then gets one of three levels. Runs independently, where the coworker has the context and permission and the action is safe or recoverable. Drafts for approval, where it prepares the work and a person authorizes it. Remains human, where the decision is too ambiguous, sensitive, or irreversible to delegate. We are not chasing maximum automation.

We will not quote you a number before we have seen your workflow, and we would be suspicious of anyone who does. In discovery we establish what the workflow costs you today and agree how success will be measured, in your numbers. Those measures are what we report against every month. If the workflow has no measurable cost or constraint worth addressing, it is the wrong workflow to start with, and we will say so.

Yes. The decision map, the implementation code, the prompts, and the recorded operational reasoning are yours. Everything is readable and editable rather than a black box. If you later decide to run the system with your own team, you can take it in-house.

Some companies should. If AI operations will be core to how you compete, and you have enough workflows to keep a team busy, building it in-house is a reasonable decision. Most companies are not in that position. They have a handful of workflows worth automating and no desire to hire, train, and retain the people needed to keep those workflows running safely. We exist for that case — and because you own everything we build, choosing us now does not prevent you from bringing it in-house later.

It will. That is why the autonomy levels exist: anything consequential or irreversible is drafted for approval or stays with a person, so the failure surfaces before it costs you something. Exceptions are queued and escalated with a prepared summary rather than silently dropped. Handling them is part of the monthly service, not a change request, and repeated exceptions are what tell us where the coworker needs to improve.