Your AI pilot isn't a strategy problem. It's a who's actually in the building problem.
We embed a senior technical operator directly inside your team — the same forward-deployed model Palantir built its business on, now standard practice at the frontier AI labs — to take your GenAI initiative from deck to production.
The gap isn't the model. It's the last mile.
Enterprises don't fail at AI because the technology is immature. They fail because the people who can translate a strategy deck into shipped, governed, production software are stretched across ten accounts — or don't sit inside the client at all.
Consultancies sell a roadmap and hand it off. Vendors sell a platform and move on. What's missing is a practitioner who sits inside the account, writes the integration, argues with the security team, and doesn't leave until the thing is live.
Forward Deployed Engineering, not advisory theatre
A Forward Deployed Fixer is embedded inside your organisation — badge, standups, Slack channel — with a mandate to ship, not just recommend.
- 01Diagnose in the client's own systemsNot a workshop. Time in the actual data, the actual stack, the actual failure points.
- 02Build alongside your engineersPair-programmed, code-reviewed, handed over — not delivered as a black box.
- 03Carry accountability for productionStays through security review, change management, and go-live — the parts that kill most pilots.
- 04Conduct Well-Architected ReviewsAssess existing and in-flight workloads against the Well-Architected pillars — security, reliability, performance, cost, and operational excellence — and turn the findings into a prioritised remediation plan.
Formerly Global Partner Solutions Architecture Leader (GenAI & SAP) at AWS. Founder & CTO of Wagwan Apps. Earlier roles at SAP France and SAP UK.
Built on shipped enterprise deals, not slide decks
A track record spanning over $100M in business value across large-scale enterprise engagements. Two illustrative examples:
Global industrial technology firm — data centre exit
~$8M contracted engagement supporting a major infrastructure transition.
Fortune 500 energy company — renewables traceability platform
$10M+ pipeline built around a GenAI-driven traceability platform for renewable operations.
Every engagement moves through the same four states
Borrowed from the language of the fix itself — because that's what this is: a fault is identified, a fixer embeds, the fault is resolved, and the team that remains can maintain it.
Diagnose
Time inside your stack, your data, and your stalled pilots to find the actual point of failure — not the one in the postmortem deck.
Embed
Full-time presence inside the team, with access to the systems and the standups, working the backlog alongside your engineers.
Ship
Through security review, change management, and go-live — the stretch where most enterprise AI initiatives quietly stall out.
Hand off
Documentation, training, and a team that can run it without us — plus a scoped path to the next engagement if there is one.
A practice built to scale from one operator
Starts with one embed
Engagements begin with a single senior forward deployed engineer — no bench, no junior staff learning on the client's clock.
Grows through scoped specialists
A roster of contracted engineers joins on defined deliverables as engagements demand it, keeping every hire tied to real project scope.
Delivers across borders
Structured to work with global enterprise clients, wherever the engagement sits.
Tell us where the pilot is stuck
Most conversations start with one stalled initiative, not a full transformation programme. That's the right place to start.
Not sure where the gap is yet? A Well-Architected Review is a low-commitment way to get a clear-eyed read on an existing or in-flight workload before committing to a full engagement.