We help decide which processes are worth automating with AI, then build them: retrieval over your own documents, assistants with proper access control, and agents whose actions a person can review.
Three steps, each with a written output. You can stop after any of them and still have something useful.
We go through candidate processes with the people who run them. For each one we check whether the data exists, whether an error is cheap or expensive, and whether a simple rule would do the job.
Output: A ranked shortlist with the expected benefit, the main risk, and a success measure for each use case.
Access rights, data quality, ownership, and who reviews the output. These decide most AI projects, so we plan them before the model.
Output: A 90-day plan with named owners, the data sources needed, and the first workflow to build.
We build it with your team, test it against real cases, and put it in front of users. The results decide whether to expand, adjust, or stop.
Output: A working workflow, its evaluation set, and the monitoring needed to keep it honest.
If the question is bigger than AI, for example whether to replace the platform the AI would run on, we look at it together with Architecture & Advisory.
Most organizations already have an AI pilot. Fewer have one in daily use. The pilot usually stalls on the same questions: which documents the assistant may read, who approves what it does, and how anyone knows the answers are still correct after the next model update.
We would rather ship one workflow with an evaluation set and an owner than five prototypes nobody runs. The second workflow then reuses the same retrieval, permissions, and tests.
Invoices, claims, or support tickets that people copy between systems by hand. We automate the routine steps and leave the judgment calls to people.
How we approach itHelp for on-call engineers: pull together the relevant logs, metrics, and runbook for an incident, and suggest a next step.
How we approach itAn assistant that answers from your own policies, contracts, or technical documentation, and only shows each user what they are allowed to see.
How we approach itTell us what it was meant to do and where it got stuck. That is usually enough to see whether it can be finished, or should be replaced with something simpler.
