We own the last mile of enterprise AI.
The model isn’t the hard part anymore — deployment is. We embed senior engineers inside your organization and don’t leave until AI is running in production.
The model serious AI companies run
Pioneered by Palantir. Adopted by OpenAI, Anthropic, Ramp & Cursor.
of enterprise GenAI pilots never deliver measurable impact.
MIT — The State of AI in Business, 2025
The technology works. The deployment is what fails.
Enterprise AI doesn’t die because the model is wrong. It dies in the gap between a working model and a working system inside a real organization — legacy stacks, siloed data, security constraints no brief captures, and stakeholders who define success differently. That stretch is the last mile. It’s where most projects quietly die. It’s the part we’re built to finish.
Why now
As AI gets better at writing code, the moat moves from writing it to landing it.
The old bet
The best model wins.
- Buy the platform
- Watch the demo
- Get a roadmap
- Hope it lands
Our bet
The best execution wins.
- Embed the engineers
- Build the integrations
- Ship to production
- Own the outcome
The companies that win in enterprise AI won’t be the ones with the best models — those are increasingly available to everyone. They’ll be the ones who can actually get AI running inside complex organizations. That’s an execution problem. It’s the one thing that doesn’t commoditize, and it’s the only thing we do.
The engagement
From AI-absent to AI-native in four moves.
One continuous, embedded motion — not four handoffs. The same team that scopes the opportunity is the team that runs it in production.
AI Opportunity Audit
We embed and map your operation end to end.
We don’t start with technology — we start with your reality. Senior engineers embed with your team, sit inside your workflows, and find where AI creates the highest leverage. No generic playbooks. Every finding is specific to your business, your data, and your competitive position.
Output
A prioritized opportunity map — the use cases that compound, not a wish list.
Process Architecture & Redesign
We architect the agentic systems around your existing stack.
We design custom agent systems that slot into the tools you already run — your CRM, your ERP, your internal apps. We redesign the workflow around intelligent execution instead of bolting AI onto a broken process. Security, compliance, and success metrics are settled here, before a line of production code ships.
Output
A production-ready architecture and integration plan your team has signed off on.
Production Deployment
We build it, integrate it, and run it — live, inside your walls.
This is the last mile, and it’s the part most vendors refuse to cross. Our engineers join your Slack, your standups, your repo, and ship production-grade systems into your live environment. No migrations. No rip-and-replace. We debug in the real environment, under real constraints — and we don’t leave until AI is running in production.
Output
AI running in production — owned by a team that knows how to run it.
Agent System Optimization
We stay. We tune, harden, and extend.
The first deployment is never the last. We monitor performance, strengthen decision logic, and extend the system as your business evolves. Think of us as your permanent forward-deployed bench — there when you need us, scaling down when you don’t. The engineer who scoped it on day one is the engineer who answers the pager on day two hundred.
Output
A system that compounds — and sustained, measurable ROI.
What we bring
Three disciplines behind every move.
Strategy
We scope in order to build. Holistic and function-specific audits that surface the use cases that compound — ranked by impact, not stacked into a 200-slide deck.
Implementation
The forward-deployed core. Embedded engineers who own the outcome inside your walls until AI isn’t a project anymore — it’s how you operate.
Engineering
Production-grade systems at startup speed. The integrations no one else will touch, across systems that were never designed to talk to each other.
Who we send
We don’t send consultants. We send owners.
The forward-deployed engineer is usually the most senior technical person in the room — founder-shaped, autonomous, and accountable for the result. They build integrations across systems that were never designed to interoperate, debug production failures in environments they don’t fully control, and challenge the request when it isn’t the right thing to build.
“The forward-deployed engineer isn’t a recommendation about the implementation. They are the implementation.”
The execution advantage, in one line.
Questions
What you’re probably wondering.
A consultancy hands you a deck and walks away. We embed senior engineers in your team and own the outcome end to end — the same person who scopes the problem ships it to production and answers the pager when it breaks. The forward-deployed engineer isn’t a recommendation about the implementation. They are the implementation.
Let’s get AI running inside your walls.
Start with the audit. In two weeks you’ll have a prioritized map of where AI moves the needle — and a team ready to build it.
Book a call