What we build
Two groups, because they answer different questions. The first is how to find out whether a thing is worth doing. The second is the work itself, ordered by how much time each tends to give back. All services in detail →
Start here
Small, fixed-price, and designed to end in a straight answer rather than a proposal. Nothing here commits you to a build.
Before anyone builds agents: is your data actually retrievable, is there anywhere to measure whether the output is right, and is there an audit trail when it is not? You get a go or no-go with the specific gaps named, including when the honest answer is not yet. What it involves →
A second opinion on automation you already have. If point tools have been wired together over a couple of years and nobody is quite certain what runs what, we map it, document it, say plainly what is worth keeping, and rebuild only the parts that need it.
A small first project at a fixed price, so you can find out whether this works for you before committing to a full build. We agree what success looks like in writing before starting, and tell you plainly if we do not reach it.
The work itself
Ordered by how much time each tends to give back.
The unglamorous glue that saves the most time. We connect the tools you already pay for so data stops being copied by hand between them. A worked example →
Language models put to work on real tasks: triaging inbound email, drafting replies, summarising documents, extracting data from messy files. How we build it →
When off-the-shelf doesn't fit, we build the thing properly: web apps, internal tools, mobile apps, and the services behind them. See a build we shipped →
Numbers you can act on, delivered on a schedule instead of assembled by hand at the end of every month.
Automation is not a one-off purchase. Models drift, APIs change, and workflows fail quietly, and the failure nobody notices is the expensive one. We run evaluation checks against every automation we build, alert on silent wrong answers rather than only on outages, and report accuracy and running cost every month.