Document processing
Invoices, forms and reports read, checked and turned into structured data, with a person reviewing the exceptions.
02 / Automate
AI agents that do the work.
Calls answered, documents read, follow-ups sent, data moved between systems. We build agents and automations for the repetitive work your team does by hand, and measure what they save.
What we build
Where we usually start.
AI agents
Agents that work inside your tools: they reply, look things up, update records and hand off to a person when they should.
Learn moreVoice agents
Agents that answer and make calls in English and in languages general AI handles badly, including callers who switch mid-sentence. Ours is live on this site.
Learn moreWorkflow automation
Triggers and handoffs between the systems you already run, so work moves without someone copying it across.
Learn more
How we measure it
A baseline before, the same numbers after.
Each agent starts from a baseline of how the task is done today. It goes live when it beats that baseline, and we keep reporting the same numbers after launch.
- 01Time per task
- 02Tasks handled without a person
- 03Error rate
- 04Cost per task
How it runs
Four steps, the same on every project.
- 01
Map the work
We sit with the people who do the work today and map the process as it actually runs.
- 02
Measure the baseline
Time, errors and cost for the task as it is now, written down before we build anything.
- 03
Build in small releases
Working software early, reviewed with you as it develops.
- 04
Report the same numbers
After launch we measure the same things again, so the result is a number, not an opinion.
From the blog
Guides on this.
AI agents and automation · 12 Aug 2026 · 6 min read
A Caching Strategy That Cuts Your AI Bill
Cache the deterministic and reusable parts of your AI workflow without serving stale private data or pretending every model response is interchangeable.
AI agents and automation · 31 Jul 2026 · 7 min read
MCP Server Security: What to Check Before You Connect One
Connecting an MCP server is installing software and handing it credentials. A practical review checklist for anything you are about to plug into your agent.
AI agents and automation · 30 Jul 2026 · 7 min read
The Vulnerability Classes AI Code Generators Keep Producing
AI coding tools fail in patterns, not at random. These are the vulnerability classes they produce again and again — and the fastest way to find them in your own repo.
Questions
What buyers usually ask.
Agents hand off to a person when they aren’t sure, and every action is logged, so you can see what it did and why.