Your AI is stuck in pilot. We get it into production.

Most enterprise AI never ships. Licences are bought, pilots are run, governance committees meet, and almost nothing reaches the people who'd use it.

Ajutant is the governed AI platform that closes the gap. A packaged runtime your own IT team can deploy and run (no specialist AI engineers required) inside your Azure tenant, on your own models. Prove value on real use cases first, then scale spend only into what works.

· AI you stay in control of.

The gap between AI investment and AI in production.

Most regulated organisations are stuck in roughly the same place, not because the technology doesn't work, but because the path from approval to deployment was never built.

  • i. Pilots run in IT, but business teams aren't using them.
  • ii. Off-the-shelf assistants raise security questions nobody can answer.
  • iii. Your data lives in the right places, but the AI doesn't know how to respect that.
  • iv. You're asked to commit big, before anyone can prove where the value is.

The problem isn't AI capability. It's that you've had to bet on the value before you could find it.

Ajutant, a governed AI runtime that deploys inside your Azure tenant.

01 / Build

Ship new AI use cases fast, without breaking what depends on them.

A proper build experience for your team: prompt authoring, test bed, draft/publish, version history. The discipline that protects production is built into the loop that makes shipping fast. Ships with 76+ working assistants as a starter kit.

02 / Governed

Governed from day one.

Audit log, AUP gate, kill switch, role-scoped access, PII guardrails, cost controls per team. Compliance is the foundation, not a bolt-on.

03 / In-tenant

Inside your tenant. Not ours.

Deploys via Bicep into your Azure subscription. Your data never leaves. No shared control plane. No multi-tenant lock-in.

04 / Scale into value

Pay for what earns its place.

Prove value on real use cases first. Scale spend only into the ones that work, and never pay for capacity you haven't justified. Built for organisations who'd rather do AI properly than cheaply.

The platform your security team will sign off on, and your business teams will actually use.

Explore the platform →

Built for UK regulated mid-market organisations.

Size
200 to 2,000 employees
Profile
Compliance obligations that make consumer AI tools a non-starter
IT
Capable of running Azure workloads, stretched too thin to build a platform from scratch

Four questions every AI platform should answer.

Most don't. We do, directly, in writing, on day one.

Q.01
Where does your data go?
It stays in your Azure tenant. We never see it. No telemetry pipes back to us. No copies in a shared vector database. Deployment happens via Bicep into your subscription, governed by your existing Azure controls.
Q.02
What happens when something goes wrong?
You have a kill switch, an audit trail, role-scoped access, and per-team cost limits, built for the conversation with your CISO, not the one with your end users. And when a user flags an ethical or correctness issue with a response, it reaches your IT operations team in real time, not the model provider. Every interaction is logged. Every assistant is governed by your acceptable use policy.
Q.03
What's the path from one assistant to one hundred?
A proper build experience: prompt authoring, test bed, draft/publish, version history. Your second use case takes hours, not weeks; your hundredth doesn't need a new platform. The 76+ assistants we ship with are a starter kit, not the destination.
Q.04
What governs the rest of your AI?
The same platform. Ajutant is your governed AI control plane, the one place every AI request in your organisation runs through. Not just the assistants people use, but the automated workloads inside your applications and any other tool that talks to a model. One audit trail. One kill switch. One bill from Microsoft.
A note on agents

Built for organisations who want AI in production, not autonomous agents in someone else's slide deck.

Read the thesis →
Rich Bushnell, Founder of Partner in the Loop

Built by someone who's been on your side of the table.

Rich Bushnell led the AI Centre of Excellence at SEFE Energy. He watched too many AI programmes stall in the same place (the gap between policy approval and production deployment) and decided to build the runtime that closes it.

Ten years in regulated industry. A direct working style, and no patience for the things that waste a buyer's time, no sales intermediaries, no junior staff sent to fill a slot, no decks standing in for substance. You deal with people who understand the platform properly.

partner·in·the·loop is the company. Ajutant is the platform. Both built on the same principle: the people who understand the product are the people you talk to, and we work the problem with you rather than at you.

More about partner·in·the·loop →

A 30-minute discovery call. No sales theatre.

We'll start with your environment, what you've tried, and what's blocking you. The product comes later in the conversation, only if it fits. No slides unless you want them. No commitment.

Book a 30-minute discovery call →

Available this week · UK time zones · Calendar booking