Keep your biggest customers.
We rescue enterprise AI deployments before they become lost accounts.
When a strategic implementation stalls, the customer starts losing confidence and your engineers get pulled into firefighting instead of product. We embed as your senior delivery team: we stabilise the deployment, take over the executive conversations, and get the account back on track without consuming your roadmap.
You won the deal. Then the deployment met the enterprise.
The proof of concept impressed everyone, and the contract reflected it. What came next had very little to do with the model: legacy systems, security reviews, a workflow the customer will not change, four departments with different owners, and a steering committee whose patience is a budget line. Enterprise deployments slow down where all of that collides, and when they slow down, confidence drops faster than progress does.
None of this means the product is wrong or the customer was a mistake. It means the deployment needs a kind of senior attention that a scaling product company cannot staff for every account — and should not have to.
The situations we get called into
A flagship implementation is slipping, and the customer has started escalating past your team.
Engineering is spending more time on one account than on the product.
The renewal, or the expansion the plan assumes, is now genuinely at risk.
The reference customer your next raise depends on is going quiet.
Delivery, not sales, has become the constraint on growth.
Four kinds of work, one outcome: the account holds.
Technical recovery
We trace the deployment end to end and find where it is actually failing — which is rarely where the escalation says it is. The recovery plan is concrete and short, and it usually includes the verification layer the deployment shipped without: the checks that make the system's output trustworthy enough for the customer to act on.
Forward-deployed engineering
Senior engineers who work directly with the customer's teams and yours, under your flag or alongside it. People with the domain context and the grey hair to hold a client room — solving the problems that sit between Product and Customer Success and belong to neither.
Executive delivery leadership
When an account escalates, someone has to walk into the room with the CIO and explain what happened, what is broken, what the recovery plan is, and why continuing to invest is the right decision. Most scaling companies do not have that person to spare. We sit in the steering committee as an extension of your leadership, and the customer hears calm, senior, and specific.
Knowledge transfer
We do not build a dependency on ourselves. Every engagement ends with documentation, delivery playbooks, and the implementation patterns your own team needs to run the next deployment without us.
Delivered by senior forward-deployed engineers, solution architects, and people who have run enterprise delivery from inside AI product companies.
Most consultancies provide more people. The account needs different people.
We have sat on both sides of this table: building and shipping AI products, and running deployments inside the industrial enterprises that buy them. That is why we can resolve an architectural blocker in the morning and present the recovery plan to the customer's executives in the afternoon — and why the customer reads our presence as reassurance rather than as an admission.
This is the vendor-side twin of our enterprise practice. Same discipline, same method, opposite chair: there we make an AI investment prove its value; here we make your deployment prove yours.
If one account is on your mind right now, that is the account to talk about.
A delivery assessment takes days, not weeks: we look at the deployment, tell you honestly whether it is recoverable and what it will take, and you decide with a concrete plan in hand rather than another status meeting.