You’re in good company

A few of the companies we’ve worked with.

When releasing feels like a risk

Most teams don’t lack skill. They lack a path to production they trust. Releases wait for the one person who knows the steps, test environments drift away from the live one, access built up over the years is hard to account for, and some problems are found by customers first.

So releases get bigger and less frequent, and bigger releases are harder to check and harder to undo.

One change, on its way to production. The waits are drawn far longer than the work.
  1. Written
  2. Waiting for review
  3. Waiting for a test environment
  4. Waiting for the release window
  5. Released

Start from where you are

Most teams already have a cloud account, some kind of pipeline and habits that work. We start by reviewing what’s there: how changes reach production, who can reach what, what’s watched, how recovery would work and what it all costs. Then we fix what matters most first, working alongside your team.

The aim is a set-up your own team understands and can run, not the most complex one available.

AI, run with the same care

AI features and agents run on the same platform as the rest of your software. They need the same care, and a few things of their own. Each one gets only the access it needs, so a misled agent can do less harm. What it did is recorded, and its costs are watched as use grows.

Code written with AI’s help goes through the same reviews, tests and security checks as any other change before it reaches production.

AI Agents AI Solutions
Read: Prompt injection: limit what a fooled agent can do

Work with us as a dedicated team, on a fixed price project or a mix of both.

Compare engagement models

Let’s run it better

Tell us how your software is hosted and released today, and what worries you most about it. We’ll talk through the options and suggest a sensible first step.

Thanks, we’ll be in touch soon.

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