Understand the task
Review representative inputs, existing tools, access constraints, volumes and the cost of the current process.
Build the right thing. Then make it reliable.
We prefer a defined first release over an open-ended promise. Each project should have a clear job, a testable result and a plan for what happens after launch.
Delivery
From initial conversation to a working integration.
Agree what success means
Define data fields, output format, review steps, edge cases and what is out of scope.
Build and test
Use representative examples to test both normal behaviour and predictable failure modes.
Connect and support
Document integration points, access, monitoring, error handling and support options.
Questions we ask before proposing a build.
What information comes in? What decisions are made? Which parts require judgement? Where does the output need to go?
We also want to know what can go wrong: missing documents, unsupported answers, duplicate records, changed file formats and unavailable APIs. Those details shape the scope and price.
If a smaller off-the-shelf solution meets the need, custom AI may not be the right investment.
Work with Northbook
Discuss a project