AI features in your product
Summaries, generated reports, smart search and recommendations, built into the screens your users already know.
Automate / AI integration
AI inside the software you already run.
You don’t need a new product to use AI. We add it to the one you have: summaries, reports, search, recommendations and checks, where they save someone real time.
What we build
Where we usually start.
Reports and analysis
Turn your own data into written reports and insights, checked against the numbers before anyone sees them.
Search over your content
Answers drawn from your documents and records, with the source shown every time.
Cost and quality control
Model choice, caching and limits, so the AI bill stays predictable and the answers stay good.
How we measure it
A baseline before, the same numbers after.
Every AI feature starts with what the task takes today. It ships when it beats that, and we keep reporting the same numbers after launch.
- 01Time per task
- 02Answers that needed a correction
- 03Cost per request
- 04Feature usage
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.
No. Most AI features sit behind an API next to what you have, and appear in your existing screens.