Services

AI implementation

Build with AI, then put AI processes in the work.

Custom AI tools when a person should not do the job by hand. Then the process around them: the trigger, the review, the hand-off. Copilots, agents, and document work wired into the shop or the ops stack. OpenAI, Anthropic, Grok when a model earns its place. Your data is not training material for someone else's model.

  1. 01

    Name the process

    The weekly chore, the queue, the document pile. If we cannot name the cost, we do not start a model.

  2. 02

    Build the tool

    A grounded prototype on your documents and your SSO. Two weeks. Something the team will actually open.

  3. 03

    Install the process

    Who reviews it, when it runs, how it writes back. Logging, eval, a human on the exception.

In the stack

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In the book

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Applications

What you need built.

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