Frontier Deployment Engineer (FDE)

Engineers who take AI from pilot to production

A Frontier Deployment Engineer works alongside your people, inside your processes and systems, to design, integrate and launch AI that does real work, and stays until it runs reliably.

Problem and solution

The problem

AI pilots often stall between the demo and daily use. Real data, older systems, security reviews and changing requirements need engineers who understand both the AI and the business on the ground.

The solution

An FDE embeds with your team, maps the workflow first-hand, builds and integrates the AI with your systems, and iterates with the people who use it until it runs in production, with your team approving every release.

How it works

How an FDE engagement works

  1. 1Embed with your team
  2. 2Map the workflow
  3. 3Prototype on real data
  4. 4Integrate with systems
  5. 5Evaluate & harden
  6. Your sign-off
  7. Roll out & hand over

Capabilities

What it can do

  • Embed on-site or remotely with your teams
  • Discover the workflow with the people who do the work
  • Prototype quickly on your real data
  • Integrate with ERP, CRM, APIs and existing systems
  • Build in evaluation, security and governance
  • Roll out, train and hand over to your team

Use cases

Where it does real work

  • Moving a stalled AI pilot into production
  • Launching a first AI agent in one department
  • Connecting AI to older or custom-built systems
  • Voice AI and contact-center rollouts
  • Scaling a proven use case to more teams
  • Building AI capability alongside your engineers

Business outcomes

What changes for the business

  • AI in production, not just in a demo
  • Faster from idea to everyday use
  • Solutions that fit how your teams work
  • A team that can run and extend it

Enterprise integration

Works with the systems you already run

  • ERP
  • CRM
  • Enterprise APIs
  • Databases
  • Custom applications
  • Cloud
  • Kubernetes

Security & governance

Built for enterprise control

  • Permission-aware
  • Guardrails
  • Human approval
  • Audit trail

Which AI project needs an engineer on the ground?

Bring one real workflow. We'll show you where AI agents can take it on.