AI built into the work your team already does
We put AI to work on drafting replies, answering customer questions, sorting intake and reading documents. It works from your own information, and a person on your team reviews anything that matters.
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One repetitive job at a time
We start with one repetitive job, ship a narrow piece and watch it work in your week before anything grows.
Most engagements begin with a readiness review of your data and workflows and a short roadmap of what to build in what order. Every build runs on your own information.

Ellery & Stroud LLP
The intake reader pulls the parties and key dates out of a client’s own words and stages the matter. Ellery & Stroud is a company we invented, so we could build its website and back office in full.
Open the Ellery & Stroud buildPractical AI services
AI readiness
A review of where your information lives and how the work moves, with written findings you keep.
AI strategy
A short written roadmap that says what to build first and what to skip.
Assistants and chatbots
Assistants that draft replies and take intake from your approved content, then hand off to a person at the edge of what they know.
Knowledge AI
Ask your manuals and past proposals a question in a sentence and get the answer with its source.
AI governance
Written answers on what data goes where, who reviews output, what gets logged and how the system stops.
Automation
Intake that sorts itself and follow-ups that send on schedule, built as software we monitor after launch.
The ground rules
Every build includes
- Answers grounded in your documents and data
- A defined hand-off point to a person on your team
- A record of what the system did and why
- An off switch you control yourself
What we won’t build
- AI speaking to customers with no oversight
- Systems trained on data you can’t legally use
- Automated decisions that need human judgment
- Anything we can’t explain to you in one sitting
Questions

Do we have to clean up our data first?
Will our content train someone else’s model?
Who reviews what the AI produces?

Most AI projects turn out to be workflow work
Many problems that arrive labeled as AI are really workflow or integration work, and the written scope says so. Solving them directly is faster and cheaper, and AI joins later only where it earns a place.
Tell us which job eats the most hours
A person reads every request and replies within one business day.
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