A4 · Acceleration · Engagement-based
AI Adoption Consulting.
Forward Deployed Engineers.
Where workshops build clarity, our embedded engineers build the system. Forward Deployed Engineers sit inside your teams and carry an idea all the way to production and adoption — de-risking the path from MVP to operational AI.
Book a 30-minute working sessionShip, Don’t Advise
Senior engineers embedded in your stack
Production AI
From validated MVP to live system
De-risked Adoption
Governance, monitoring, and handover
Capability Transfer
Your team owns what we build
The gap this solves
Validated concepts
that never reach production.
Most organisations can validate an AI concept in a sprint. Far fewer can cross the gap from validated prototype to a working system that real employees use, trust, and adopt as part of their workflow.
The problem isn’t the technology — it’s the execution gap between “works in demo” and “runs in production.” Forward Deployed Engineering is designed specifically for that crossing.
MVP stalls after validation — no clear path to production
Engineering teams lack AI-specific build experience
Governance, monitoring, and maintenance not designed in
External agency leaves; internal team can’t extend the system
Forward Deployed Engineering
Embedded. Building. Shipping.
Then transferring capability.
Frame
Scope the production requirements based on validated MVP output. Define success metrics, technical constraints, and integration points.
Discover
Map current systems, data flows, and operational dependencies. Identify risks and dependencies before build begins.
Build
Production-grade AI in your stack. Not a demo environment — a real system with real data, real workflows, and real users.
Validate
Real-user testing and value proof. Verify adoption, measure impact against agreed success metrics.
Operationalise
Monitoring, governance, and maintenance procedures. Documentation, runbooks, and operational handover.
Transfer
Upskill your team to run and extend it. Capability transfer so momentum continues after we exit.
The differentiator
Built different
from big consulting.
| Dimension | Typical Global Consultancy | FOX IT — AI-Native |
|---|---|---|
| Engine | Pyramids of analysts; manual interviews | AI agents at scale + small senior pods of FDEs |
| Deliverable | Strategy decks; the build is someone else’s job | Working AI in production — validated with real users first |
| Speed to value | Quarters before anything ships | Weeks from framing to a validated, working MVP |
| Team model | Large teams, junior leverage, partner fly-ins | Senior engineers embedded inside your teams |
| Cost model | Headcount × hours × months | AI-leveraged delivery at a fraction of traditional cost |
| After exit | Dependency — change orders and follow-on phases | Capability transferred; your team owns and extends it |
Who engages FDEs
For teams ready
to ship production AI.
This is the A4 Acceleration intervention in the 4A framework. It’s designed for organisations that have validated concepts and now need to operationalise, scale, and embed AI in the operating model.
CIO Office — accountable for AI outcomes and roadmap
Engineering Teams — building AI but need senior guidance
Platform Teams — operationalising AI across the organisation
Cross-functional AI teams — post-bootcamp, ready to ship
Engagement model
Flexible engagement.
Outcome-based partnership.
FDE engagements aren’t fixed-scope projects — they’re outcome-based partnerships that flex with your needs. We embed, we build, we transfer, and we scale back as your internal capability grows.
Engagement duration tied to outcomes, not arbitrary timelines
Monthly adoption tracking and value validation
Continuous engagement that compounds as maturity grows
Typical engagement flow
Scoping Call
30-minute working session to understand validated MVP and production requirements
Embedded Sprint
FDEs join your teams, assess current state, and begin build
Production Ship
Deploy working AI with monitoring, governance, and documentation
Transfer & Scale
Capability handover, team upskilling, and adoption tracking
Where this fits in the 4A framework
Acceleration is the final stage.
Awareness, Assessment, and Adoption come first.
A1 · Awareness
AI Executive Fluency Workshop
Build leadership clarity and decision confidence before committing to build.
A2 · Assessment
AI Problem Framing
Scope the right use cases after leadership clarity is established.
A3 · Adoption
AI Design Sprint
Validate an AI idea with real users in 2–3 days — the natural predecessor to FDE.
Ship production AI. Own the capability.
From validated concept
to production system.
Book a 30-minute working session to discuss your validated MVP, production requirements, and whether Forward Deployed Engineering is the right next step.
Book a 30-minute working session35+ years · UK registered · India operations