FORWARD DEPLOYED ENGINEERING

Turn AI Models into Production Workflows.

Forward Deployed Engineering for the systems your business already runs.

Discuss a Workflow Explore our approach

YOUR SYSTEMS. YOUR BOUNDARIES. BUILT TO OPERATE.

REFERENCE WORKFLOW01 — 04

01
Existing systems
CRM · ERP · Knowledge sources
02
Integration boundary
Identity · APIs · Scoped access
03
AI proposal
Retrieval · Sources · Validated tools
04
Review & execution
Human approval · Audit · Recovery

A proposal is not permission to execute.

FROM MODEL TO OPERATION

API IntegrationRAG & AgentsGovernanceProduction

↘

01 / THE REAL CHALLENGE

The last mile.
The difference that matters.

Getting a model to work is one thing. Making it work inside your business is where we come in.

Beyond the demo.

A production workflow needs ownership, clear boundaries, and a path to operation.

Inside your systems.

Access, data freshness, and failure modes belong in the design from the beginning.

Built for the handoff.

Runbooks, observability, and rollback make the workflow something your team can own.

02 / WHAT WE DO

One connected path.
From integration to production.

Explore services

Integrate

Connect intelligence to your existing systems.

APIs · Connectors · Enterprise data

Operationalize

Turn model capability into a governed workflow.

RAG · Agents · RBAC · Eval

Ship & hand off

Make production readiness part of the delivery.

Audit · Observability · Runbooks

03 / DELIVERY PATTERNS

Designed for complexity.
Grounded in real workflows.

View delivery patterns

REFERENCE / KNOWLEDGE OPERATIONS

From knowledge to governed action.

Explore the architecture

REFERENCE / WORKFLOW GOVERNANCE

A workflow that knows when to stop.

Explore the architecture

04 / FIELD NOTES

Perspective.
From the engineering edge.

All insights

ENGINEERING NOTES

Production AI starts with a boundary

Before choosing a model, define who owns the workflow, what it can access, and when it should stop.

Read the field note