When a company decides to ship an AI system, it usually reaches for one of three delivery models: consulting, staff augmentation, or forward deployed engineering. They overlap in vocabulary and differ sharply in who is accountable for the result.
What each model delivers
Consulting delivers recommendations: an assessment, a roadmap, an architecture. The work product is advice, and the client's team is responsible for turning it into running software.
Staff augmentation delivers capacity: engineers added to your team and directed by your managers. The work product is hours. Outcomes depend on how well your organization can onboard, direct, and retain the people it adds.
Forward deployed engineering delivers a working system. Senior engineers embed in your environment, build against your real data and constraints, and stay accountable through production and handoff.
How to choose
Ask three questions.
- Do you already know what to build? If the problem is still unclear, consulting is the right first step. If the problem is clear and the system is not shipped, advice alone will not close the gap.
- Do you have the people to lead the work? Augmentation works when you have strong technical leadership and need more hands. It struggles when the missing ingredient is experience shipping this kind of system.
- Who is on the hook when it runs in production? If the answer needs to be the people who built it, you want an embedded engineering model.
Where forward deployed engineering fits
Many AI initiatives stall between a promising pilot and a system the business can rely on. Closing that gap takes engineering work that is hard to hand off as a document: integrating with systems of record, building evaluations that catch regressions, and adding observability and guardrails so the system can run unattended.
An embedded engineer sees those problems first-hand and fixes them in place. That is the core of the model, and it is why it differs from advice delivered from the outside.
A practical test
Before you sign anything, ask the partner what they will hand you on the last day. A deck is a consulting deliverable. A set of hours is augmentation. A system in production, with the runbooks and tests your team needs to own it, is the outcome forward deployed engineering is built to produce.
If that is the outcome you need, talk to us about forward deployed engineering.