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Most of this comes down to one question: which job in your week repeats often enough, and goes wrong clearly enough, to be worth automating first? That is where I start, and sometimes the honest answer is that nothing does yet.
The language-model part: what the model gets asked, what it is allowed to read, and how its answer is checked before anything acts on it.
A first version on your own documents, then the unglamorous work that makes it survive a Monday: retries, error handling, an alert when a source file changes shape.
Where documents land, how they are stored, and what feeds the model. Built on Azure, and boring on purpose.
Deployment, monitoring, and someone to call. An automation nobody is watching quietly stops matching reality within months.
Hands-on sessions with the people who will own this after handover, using your workflows rather than a slide deck.
Your project system, dispatch board or MES stays where it is. The new piece reads from it and writes back to it instead of replacing it.
Three shapes of work I take on. Each has a fixed scope and a named deliverable, so you know what you are getting before it starts.
Typical build: 3-6 weeks
Document Processing
Pull structured fields out of invoices, forms, permits and reports, validate them against your rules, and write them into the system you already use.
Book a callTypical build: 4-8 weeks
Knowledge & Retrieval
A private question-answering system grounded in your internal documents, answering with citations back to the source file so replies can be checked.
See what this looks likeTypical build: 2-6 weeks
Workflow Automation
Connect the handoffs that currently run on email and copy-paste: intake, routing, follow-up and scheduling. Then keep them running as the tools underneath change.
Book a callWorth asking before you hire anyone for this, me included.
Tell me which part of the week goes wrong most, and I will tell you whether it is worth building for.
Book a call