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Pilot to production

Taxiing is not flying. Eight checks stand between them.

An aircraft that moves under its own power is not cleared for passengers. Neither is an agent that answered well in a demo — and the gap between the two is where most enterprise AI projects stop.

Stage 01
Prototype

Moves under its own power

Stage 02 · the pre-flight nobody ran
Cleared for production?
Not cleared
Instruments — not fitted
Monitoring and observability
Controls — no authority limits
Governance and control plane
Simulator — not flown
Pre-production testing
Powerplant — single source
Model deprecation risk
Pilot in command — unassigned
No internal owner
Abort procedure — none
Reliability harnesses and cost caps
Airworthiness — uncertified
Security and compliance
Crew rating — not current
Skills to operate it
Stage 03
Agent in production
All checks complete

Monitored and observable 24/7

Governed with a full audit trail

Simulation-tested at scale

Model-agnostic and resilient

Runway
Hold short
Why forward-deployed

The hard part of enterprise AI isn't the model. It's your process.

Approvals, exceptions, systems of record, compliance evidence — the things that make your workflow yours are exactly what generic AI pilots skip. FDE puts engineers who build AgentOS next to the people who run your process, so what ships is the real workflow with the controls your organization actually requires.

Embedded, not outsourced

Our engineers work with your team — your domain experts stay the authority; we bring the platform and the build speed.

Governed from day one

Identity, policy, human approvals, budgets and audit are designed in at the start — not retrofitted after a demo.

Production, not prototype

The engagement ends with a workflow running in your tenant, with dashboards, spend controls and runbooks your team owns.

The engagement

Six to eight weeks, one governed workflow, live.

Weeks 1–2

Discover & design

Our forward-deployed engineers embed with your team, map the target workflow end to end — systems, data, decision points, approvals — and design the governed agent workflow with your policies built in from day one.

Weeks 3–5

Build on AgentOS

Agents, skills and workflow are built on the platform: identity-aware execution, quota and budget controls, human checkpoints where your process needs them, and connectors into your systems.

Weeks 6–7

Prove it with your people

The workflow runs on real cases side by side with your team. Approvals, exceptions and audit trails are exercised for real; routing, budgets and quotas are tuned to your cost reality.

Week 8

Operate & hand over

Go-live with dashboards, spend visibility and runbooks. Your team owns the workflow in your tenant — governed, observable, and yours to evolve.

What you get

Everything needed to run it without us.

A live governed workflow

Agents + skills + human checkpoints running on real cases in your tenant.

Cost control

Quotas, budgets and model routing tuned to your spend reality — with the dashboards to see it.

Audit & evidence

Every decision, approval and action traceable — the posture your compliance team asks for.

Your team, enabled

Runbooks and handover so your engineers extend the workflow themselves.

Bring us one workflow.

If your process involves people, systems and AI, we'll have governed agents running it in 6–8 weeks.