Your AI bill went up last year. Can you point to one thing it improved? I embed with your team, find where the money is burning, and build the fix into production — past your security team, owned by your people after I leave.
Fractional Forward-Deployed Engineering
An FDE embeds inside your company — not to advise from the outside, but to build and ship the fix in your environment. It's the model Palantir and OpenAI use for their hardest deployments. I bring it to your operation: half engineer, half operator, accountable for the outcome — not a report, not a login, not a slide deck.
Most companies are stuck in the same loop. Spend climbs, nothing ships, and the next good idea gets killed because the last one burned trust.
Board pressure, FOMO, an offsite. The mandate comes down.
Non-tech teams reach for Lovable, Cursor, ChatGPT and start hacking.
Security flags it. It can't touch real data. Nobody owns it.
The bill grows. The outcome never arrives. Skepticism deepens.
It's not an AI problem. It's a deployment problem — the only mile that matters.
A dev shop can't speak to your business. A Big-4 firm doesn't ship. An internal hire can't see across silos. I clear all three bars.
I speak plain English to your business teams and I've shipped under tier-1 financial-services compliance, payments at 4,000 TPS, and trading platforms at 5M+ users. I clear the gate that kills most AI projects.
I go to your Security team in week one, build to their rules from day one, and hand them the audit artifacts they normally chase. By review time, there's nothing to argue about.
I built a platform layer 20–30 teams adopted and ran without me. When I leave, I leave a working, documented system — and a team that can run it.
Production-grade RAG, agent orchestration, compliance gates, and security scaffolding — so your build ships in weeks, not months, and is security-shaped from the first commit.
Every other option fails at least one of the things that actually decide whether AI ships.
A three-step ladder. Each step is cheap to say yes to, and each one funds the trust for the next.
1–2 weeks embedded. I map your operation, talk to Security in week one, and find where AI spend is burning and what's worth building.
Fixed-scope sprints. I build the prioritized tool to production — past Security, documented, fully handed over to your team.
Optional retainer. I maintain what I built, stay on-call for the next opportunity, and keep leveling up your team.
[ no lock-in · no long contracts · diagnostic fee credited toward the build ]
"Shipped" isn't a demo that works once. It's these five, built to survive a security review and your real load.
Searchable, owned knowledge over your real docs and systems (RAG) — with clear owners, not a toy demo on a sample file.
Unified model access with token/cost visibility and guardrails — so spend maps to outcomes and can't quietly spiral.
AI embedded where the work actually happens — inside your tools and processes, not an isolated window nobody opens.
Built to your Security team's rules from day one: scoped data, access controls, audit trails. Shipped under tier-1 financial-services compliance before.
Runbooks, UAT, and training so your team runs it after I leave. Capability, not dependency.
Tell me where your AI spend is going. In two weeks you'll know exactly where it's leaking and what's worth building — no obligation. If I'm not the right fit, I'll tell you, and point you to who is.
I'll reply within one business day to set up your Ground Truth read.