What teams
ask us.

Almost every team we talk to already has tools in place. The problem is rarely access, it is that usage is uneven. Some engineers lean on Claude Code or Cursor daily, some barely touch it, and everyone works their own way. There is no shared standard for what good looks like, so the gains stay individual and quietly slip.

We work on the part tools do not touch: how the team plans, reviews, governs, and ships together. The Aitonomy Control platform gives that a shared backbone, and a forward-deployed engineer installs it on your real work, so the way your team operates stops being scattered and starts being shared.

No. Coding is a small slice of how software actually gets built. If product managers still write the same briefs, designers hand off the same way, and leads still govern on instinct, faster code does not turn into faster delivery.

We treat the whole product team as the unit: product, design, engineering, and the people accountable for the result. The point is to move the team from AI-assisted to agent-driven across the lifecycle, not just inside the editor.

There is no size threshold. We work with in-house digital product teams of any size. What matters more than headcount is that you have real product work flowing, someone accountable for AI adoption, and the appetite to change how the team works rather than just add another subscription.

Workshops teach, then leave the room. Subscriptions hand over a tool and hope. Neither changes how the team works on Monday morning.

We embed a forward-deployed engineer who puts agents on your actual backlog, with the context and guardrails to do it safely, so the new way of working takes hold in how the team ships rather than in a slide deck. The Aitonomy Control platform keeps running, the patterns compound, and we keep you current as tooling and regulation move. It is a long-term partnership, not a workshop that ends.

Most teams are AI-assisted: a person drives, the AI helps in the margins, one prompt at a time. Agent-driven means agents take whole units of work end to end, inside context and guardrails, and a person reviews the outcome rather than typing every line.

It is a spectrum, not a switch. Moving you from AI-assisted to agent-driven is the whole job, and we do it one workflow at a time: agents take on more the moment they have proven they can, and every step stays governed.

It starts with a readiness scan. Over a few days, the Aitonomy Control platform connects to your stack and reads real signals from how your team works today, then shows how ready you are to hand work to agents and what to fix first.

You get a clear score, the gaps to close in order, and a scoped path forward. It answers one question: are you ready to deploy agents, and where do you start.

It means our forward-deployed engineer works inside your team day to day, not above it and not at arm's length. They put agents on real work alongside your people, own the delivery outcome, and coach as they go.

The job is not to build for you and hand over a black box. It is to install a way of working your team genuinely owns, then keep you current as a long-term partner: safe execution, new tooling, EU AI Act compliance, and the developments worth adopting.

We start where agents can earn trust quickly and the risk is contained. Your forward-deployed engineer puts an agent on real backlog work with the context, guardrails, and evals to do it safely. An agent is promoted to more autonomy only when its output clears the bar, and it is pulled back automatically if quality drops.

Nothing graduates on a calendar. It graduates on evidence.

Three, and they overlap. First a scan reads where you stand. Then we embed: agents go on real work, one workflow at a time, with the forward-deployed engineer installing context and guardrails as we go. Then it compounds: patterns become reusable skills, agents sharpen over time, the Aitonomy Control platform keeps running, and we stay on hand.

The first two stages are scoped and finite. The third is the ongoing partnership: it keeps running for as long as you want to keep getting better, and it is what keeps you ahead.

The scan takes a few days. The embedded phase runs weeks to months depending on the size of the team, the state of your stack, and how far you want to go. We are explicit about scope up front so you are never paying into an open-ended engagement.

The intensive embed is finite, but the relationship is not. Once the team is running day to day, we move into the long run with you: the platform keeps running, and we keep you current on safe execution, new tooling, EU AI Act compliance, and the new developments worth adopting.

Enough to absorb the new way of working, not so much that delivery stops. The forward-deployed engineer carries the heavy lifting. Your team works close to it, because the way of working only sticks if the people doing the work own it. Early on there is real involvement as agents go on live work. It gets lighter as the team finds its rhythm and starts driving the agents themselves.

Aitonomy Control is the platform that runs the agents, governs them, and measures what they deliver. It maps to your stack, learns your conventions, and sharpens with every change. It handles the three things that make agent output safe to ship: the context an agent needs, the control over what it is allowed to do, and the cost of running it.

It runs as your own isolated instance, hosted in the EU, and keeps running for the long term as the partnership continues.

No. The Aitonomy Control platform is tool-agnostic: any model, any IDE. It sits above the tools your team already uses rather than replacing them, and routes work to the model that does it best for the price. You are never tied to a single provider's roadmap or pricing.

Aitonomy Control is hosted, and EU-sovereign by design. Your instance runs on EU providers under EU jurisdiction, not just an EU region of a US cloud. Your code and specs are processed in your own single-tenant, isolated instance, encrypted with your own keys, so we cannot read into your data. It is enterprise-ready: SSO and RBAC, bring-your-own-key, and a full audit trail of every action.

If your security policy or regulator requires the platform to run inside your own environment, that is available as a scoped, priced option. For everyone else the hosted instance is the default, because it is faster to stand up and we keep it current for you.

By making spend deliberate instead of default. Every task is routed to the cheapest model that can do it well, rather than sending everything to the most expensive one. And every euro is attributed to a team, a workflow, and an agent, set against the impact it buys.

So cost stops being a surprise on the invoice and becomes something you can see and manage, from your own instance, from day one.

The scan gives you a grounded picture within a few days. From there, agents go on real work in the embedded phase rather than a sandbox, so the first signal is real delivery on your backlog, not a demo. Because the Aitonomy Control platform measures from the start, you watch adoption, delivery, and quality move on your own numbers.

We scope the engagement up front and agree it before we start, so you know what you are committing to rather than watching a meter run. The readiness scan is a fixed, contained first step. The embedded engagement is scoped to your team and your goals.

We would rather talk through the right shape for your situation than quote a number that does not fit it. That conversation is where we start.

Yes. Even if you go no further, you leave with a clear, scored picture of where your team stands, the gaps to close first, and a plan you can act on yourself. It is a deliverable, not a sales call, and it is yours to keep and to share at board level.

The capability you need, designing verification loops, governing agents, knowing when to escalate, barely exists in the talent market at scale, and competing for it is slow and expensive. Even when you find someone, one hire does not change how a whole team works.

We build the capability into the team you already have, and we stay on as a partner to keep it sharp. You end up with the muscle in-house and an expert on call for the long run, not a single hire you are betting the whole transition on.

The intensive embed is scoped and finite, the partnership is not. The Aitonomy Control platform keeps running on a subscription, and we stay on hand: keeping you current on safe execution, new tooling, and EU AI Act compliance.

You are not buying a permanent pair of hands at project rates, and you are not left on your own either. You keep a system running and an expert reachable, in it with you for the long run.

The Aitonomy Control platform is governed by construction, so the controls and the audit trail the Act expects are produced as a by-product of how work flows, not bolted on at the end. Every agent action runs inside guardrails and is recorded.

We treat compliance as part of the operating model rather than a separate scramble, and we keep you current as the rules evolve.

It is where this matters most. In regulated work the hard part is rarely building the workflow, it is making compliance, legal, operations, and leadership trust it. Are decisions explainable to a regulator? Who is accountable when automation makes the wrong call?

Because every agent runs inside guardrails with a full audit trail and human review at the points that matter, those questions have answers you can show rather than assert.

Yes. We focus on industries facing severe staff shortages and high administrative burdens, where agents relieve the most pressure: healthcare, the public sector, education, financial services, logistics, professional services, manufacturing, energy, and agri-food.

The model does not change for regulated sectors. The same guardrails, audit trail, and human review that apply to any engagement are what make it viable to run agents inside healthcare or financial services.

Agents do not get a blank cheque. The Aitonomy Control platform sits between your team and the agents, controlling what each one is allowed to touch, enforcing boundaries, and flagging anything that needs human sign-off. Your instance is isolated and encrypted with your own keys, so even we cannot read into your code.

Control and visibility are the default, not an upgrade.

Because it is held by more than goodwill. The Aitonomy Control platform keeps the standard live: context, guardrails, and evals stay in place, and agents are promoted or pulled back on evidence. The way of working is built into how the team ships, not stored in one person's head.

And you are not watching for drift alone. As your long-term partner we keep an eye on it with you, and the measurement surfaces any slip early rather than letting it compound.

They join a team that already has a shared way of working and the Aitonomy Control platform that encodes it, so they learn the standard from the system and the people around them rather than from tribal memory. The patterns your team built are reusable, which is exactly what new joiners onboard against.

And we are on hand if you want help bringing a new cohort up to speed.

That is exactly what the long-term partnership is for. The Aitonomy Control platform is tool-agnostic, so new models slot in without re-architecting. And we keep filtering what is worth adopting, translating regulatory change into practical guidance, and feeding back what is genuinely new, so you stay out front without having to track all of it yourself.

Yes, and we grow into it with you. Once one team is running agent-driven and can prove it, the same way of working and the same Aitonomy Control platform extend to the next. The first team becomes the internal reference, and the skills it built compound across the others rather than being rebuilt each time.