Applied AI and automation
implementation.

• The process, owners, handoffs and AI limits are already agreed, and someone now has to build them.
• A promising automation keeps producing exceptions that land on a person.
• An AI assistant works on a good day and nobody has tested what it does with missing or conflicting information.

Your process owner, the system and data owners whose approval the work needs, a named human reviewer for any AI step, the people who do the work, and your IT or security contact.

• A defined requirement: the agreed process, handoff specifications and, for AI, a job card with approved sources, limits and a reviewer. If these do not exist, we start with a workshop or a focused session.
• Access, licences and security approval for the tools in scope.
• Starting measures for the work being changed, so the result can be compared fairly.

• Configuration of the named workflows and integrations in your approved tools.
• Human approval points designed in, not added afterwards.
• Acceptance tests, including the four Instruct tests for any AI task: normal input, missing information, conflicting information and an unapproved action.
• A test in real work with stop conditions and a way back to the previous process.

You own the systems, data, licences, approvals and day-to-day operation. Human API builds within the agreed scope and does not take over a function.

A defined support period, then a results review that compares effort before and after, including checking, corrections, maintenance and work moved to other people.

Additional workflows, integrations or operating responsibilities need an agreed change to scope. We do not promise an autonomous department; authority and exceptions are designed and tested first. Scope, dates, participants and the final fee are confirmed in writing before work begins.