Applied AI & AI agents
We build AI that does a specific, measurable job — pulling data out of documents, drafting first replies, routing requests — and we skip the parts that only sound impressive.
What we build
Most useful AI in a small business is unglamorous: it takes a task someone does fifty times a week and does the first pass.
- Intake and routing
- Read incoming email, forms, and PDFs, pull out the fields that matter, and send each request to the right person or system.
- Drafted replies
- First drafts of customer responses grounded in your own docs and past answers. A person reviews and sends.
- Internal search
- Ask a question in plain language and get an answer from your handbooks, contracts, and tickets, with a link to the source.
- Reporting
- Plain-language questions against your database or spreadsheets, so a weekly report doesn't wait on the one person who knows SQL.
How it works
- 01
Pick the job
We look at where time goes and choose one task where AI is reliable enough to help: repetitive, text-heavy, and easy to check.
- 02
Build it against your data
Instructions, guardrails, and access to the documents or systems it needs. Nothing it can't explain or that a person can't override.
- 03
Put it where work happens
Email, Slack, your CRM, or a small internal app. If people have to go somewhere new to use it, they won't.
- 04
Measure and tune
Logging and a feedback loop from day one, so we can see where it's wrong and fix it instead of guessing.
Common questions
Do we need our own AI model?
Almost never. We build on hosted models from providers like Anthropic and OpenAI and connect them to your data. The work is in the instructions, the data access, and the checks, not in training a model.
What happens when the AI gets something wrong?
We design for it. Anything customer-facing or hard to undo goes to a person for review first, every output is logged, and the agent is limited to the actions it actually needs.
Is our data used to train someone else's model?
We use provider settings and API tiers that don't train on your data, and we keep access scoped to what each task needs. We'll walk through exactly where your data goes before anything is built.
Tell us what you're trying to build
A rough idea is enough to start. We'll tell you what we'd do and what it takes.