We design and build AI systems with Claude — systems that do real work inside real operations. Our own company runs on AI systems we designed and operate every day, and our current flagship engagement is a Claude-based build for a multi-organisation health-sector consortium.
The hard part of AI isn’t the demo. AI that touches real operations inherits every operational question your organisation already has — and it either survives contact with production or it doesn’t. That’s the ground we’ve worked for 17 years: we run identity infrastructure at 800,000-account scale with a decade of 100% uptime, and we build AI systems with the same engineering discipline. This is what an engagement with us looks like:
We scope the operational problem, not the technology. What decision, workflow, or workload is actually costing you — and would AI genuinely help, or is the straight answer “not yet”? We’ll tell you either way, before anything is built.
We ground it in identity and access first. AI that touches real operations inherits every identity question your organisation already has: who can invoke it, what it can access, and how that’s governed and proven. Identity-grounded AI implementation isn’t a slogan for us — it’s the literal order of operations, and it’s the part most AI pilots trip over.
We build in increments that ship. Working software at each step, on Claude, with the guardrails and evaluation to prove it’s doing what it should.
We hand over something you can run. Documentation, controls, and the operational discipline to keep it running — the same standard we hold identity infrastructure to.
If you’re an organisation with serious operations thinking about what AI could do on top of them, that’s a conversation we’re built for.