Consulting Services

AI Forward-Deployed Engineering

Engineering-led AI implementation for teams that need to move from pilots, workshops, and demos into deployed business workflows.

Start a deploymentRead the FDE model

Outcomes

  • AI agent and workflow implementation
  • Codex, Claude Code, and agentic coding rollout
  • Evaluation and governance systems
  • Internal AI tools and workflow automation
  • Portfolio-company AI deployment playbooks

Why forward-deployed AI implementation works

AI value is usually blocked by workflow ambiguity, data access, unclear evaluation, and adoption risk. Forward deployed engineering compresses the loop between business context and software delivery so the system can be useful in the environment where it will actually run.

30/60/90-day deployment plan

WindowWork
30 daysFind the workflows where AI can create measurable leverage, audit data and systems, and define the deployment scorecard.
60 daysBuild the first production-grade workflow with retrieval, tools, evals, monitoring, and human review.
90 daysRoll out to users, harden reliability, train operators, and turn the pattern into a repeatable internal capability.

Best fit

This model is strongest for PE portfolio companies, mid-market operators, and enterprise teams with clear workflows but not enough applied AI engineering bandwidth to ship production systems quickly.