Internal assistants
Answers drawn from your own documents, policies, and history — with citations back to the source.
We build assistants and automations that sit inside your real systems, respect your permissions, and produce a result someone can check.
Scoped to a workflow with a measurable before and after. If we cannot name the hours saved, we do not start.
These are the engagements that pay for themselves quickly and give your team a reason to trust the next one.
Answers drawn from your own documents, policies, and history — with citations back to the source.
Contracts, statements, applications, and forms read and turned into structured data your systems can use.
The repeated shuffle between inbox, spreadsheet, and portal, handled end to end with a human approval step.
One place to ask questions that currently require opening four systems and knowing which one holds the answer.
Plain-language questions against your operational data, answered without waiting on an analyst.
Access control, retention, logging, and review so AI use survives a client or auditor question.
The same four stages as every other engagement — AI does not get a special process.
One process, one owner, and a number we are trying to move. Not a platform selection exercise.
Find the data, clean what is usable, and decide who is allowed to see what before a model touches any of it.
A working version in weeks, tested against real cases your team scores — not vendor benchmarks.
Monitoring, cost tracking, model updates, and a review cadence, exactly like any other production system.
We scope what the model can reach, log what it was asked and what it returned, keep a person in the loop where the stakes justify it, and document the whole arrangement so your clients, insurers, and auditors get a straight answer.
Plenty of problems we are asked to solve with a model are really a broken integration, a duplicate data entry step, or a report nobody automated. We will tell you when that is the case, fix the cheaper thing, and revisit the model once it would actually add something.