Delivery Model
Consultants write recommendations. We stay until it runs in production.
Most enterprise AI initiatives don't fail because the model is wrong — they stall at the last mile, where a promising pilot has to survive real data, real systems, and real constraints. Our delivery model exists to close that specific gap.
The gap isn't ambition. It's integration.
Enterprise teams don't lack ideas for AI and automation — they lack a reliable path from a working demo to a system that survives contact with legacy systems, compliance requirements, and messy real-world data. Industry research consistently points to the same root cause: pilots stall on last-mile integration complexity, not on model capability. That's the specific problem our delivery model is designed to solve.
We build inside your environment, not next to it.
A Forward-Deployed engagement puts senior, hands-on builders directly inside your team's day-to-day reality — your data, your security constraints, your existing systems — rather than producing a slide deck and handing it to your engineers to implement. The deliverable isn't a recommendation. It's a working system, and we don't consider the engagement done until it's running in production under your team's control.
Embedded, not advisory
We work inside your stack and your sprint cadence, not in a separate workstream.
Outcome-owned
Success is a system in production, not a report delivered on schedule.
Built for handoff
Every system we build is documented and structured so your team can own and extend it — no dependency lock-in.
Three phases. No black box.
Discovery & Readiness
2–4 weeks
We audit the data, map the target workflow, identify integration dependencies, and define what "done" and "safe" mean for this specific use case. Output: a scoped architecture and a phased plan — not a generic roadmap.
Supervised Pilot
One tightly-scoped workflow or agent, deployed against real data with human-in-the-loop checkpoints at every consequential decision. This runs in a controlled environment — it's a working system, not a demo.
Production Scale-Out
Once the pilot proves out, we harden it for production: monitoring, governance, rollback, and either a clean handoff to your team or an ongoing embedded arrangement — your call.
How this differs from traditional advisory work
| Traditional Advisory | Forward-Deployed Delivery | |
|---|---|---|
| Deliverable | Report, roadmap, recommendation | Working system in production |
| Team | Rotates in for workshops | Embedded with your team throughout |
| Success metric | Deck delivered on time | System running, adopted, owned |
| Handoff | Your team implements from scratch | Documented, transferable, no lock-in |
Principles we don't compromise on
LLM- and vendor-agnostic — we architect for your constraints, not to keep you on one platform.
Human-in-the-loop by default on any consequential decision, not bolted on after the fact.
Governance and auditability are part of the initial architecture, not a phase-two add-on.
You own the code and the IP we build for you.
Three ways to start
Discovery Sprint
A focused 2–4 week engagement to assess readiness, map the highest-leverage use case, and leave you with a concrete architecture and phased plan — whether or not you continue with us.
Pilot Engagement
A single, tightly-scoped agentic or AI-infused workflow taken from architecture through a supervised production pilot.
Embedded Team
An ongoing Forward-Deployed arrangement where we operate as an extension of your engineering team across multiple initiatives.
Scope and duration depend entirely on the use case — every engagement starts with a conversation, not a fixed package.
Founding Client Program
We're deliberately taking on a small number of Founding Client engagements first — full Forward-Deployed builds where we can prove the model directly, with real outcomes documented as they happen. If you'd rather be a reference than a testimonial, this is the entry point.
Full Forward-Deployed builds
Not a pilot deck or advisory sprint — a complete engagement where we embed inside your team and ship a working system in production.
Outcomes documented as they happen
Every engagement produces a real, verifiable success story — published when the work is done, not retrofitted from generic templates.
Reference, not testimonial
If you'd rather be a credible reference than a marketing quote, this is the entry point. We prove the model on your terms.
As engagements complete, we publish them as client success stories.