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AI-enabled software

AI that does useful, checkable work inside your software, and stays out of the way where it doesn’t help.

What this solves

  • “We spend hours pulling the same details out of documents and emails.”
  • “Answers exist somewhere in our files, but nobody can find them quickly.”
  • “We want to try AI, but we don’t want it making things up in front of customers.”

What we build

Contextual assistants
Assistants that answer using your own information, inside the app your team or customers already use.
Structured extraction
Pulling names, dates, amounts and other details out of documents and into the right fields.
Search & retrieval
Ask a question in plain words and get an answer that points to the source document.
Human-reviewed workflows
AI drafts or suggests; a person checks and approves wherever accuracy matters.

How it fits

Illustrative

  1. Your documents

    Files, notes, FAQs

  2. Assistant

    Reads only what it’s given

  3. Answer with sources

    You can check it

  4. Human check

    Where it matters

The assistant answers from your own material, shows where the answer came from, and a person signs off where it matters.

How a project works

  1. Step 01

    Written discovery

    We look at the task, the documents involved and what a good answer looks like.

  2. Step 02

    Documented scope

    Where AI helps, where it doesn’t, and where a person stays in charge, agreed in writing.

  3. Step 03

    Preview & testing

    You try it on real examples through a preview link, and we tune it against your feedback.

  4. Step 04

    Launch & walkthrough

    We launch with review steps in place and send a recorded walkthrough of how to use and monitor it.

Async-first throughout. Live calls are optional.

Good to know

  • Not every workflow should use AI. If a simple rule or a form does the job better, we’ll say so.
  • AI outputs can be wrong. Where it matters, results are reviewed by a person before they’re used.
  • AI services have usage costs that grow with volume. We estimate them with you up front.

Questions we’ll ask

  1. 01Which task takes your team the most time, and what does a correct result look like?
  2. 02What information should the AI use, and what should it never see?
  3. 03Who checks the output today, and who should check it after?
  4. 04What happens if the AI isn’t sure?

Projects are scoped and quoted individually based on goals, complexity, integrations and delivery requirements.

Discuss a project