FORWARD DEPLOYED ENGINEERING

AI Opportunity Assessment and FDE Delivery

Engineers work with your process owners to define the problem, build a prototype, deploy the system and complete acceptance with clear evidence.

AI opportunity assessment and Forward Deployed Engineer workshop

An FDE is not only a presales consultant or an AI tool operator. The role sits between the customer field and the engineering system, translating an unclear request into workflows, data fields, agent states, approval points and verifiable deliverables.

DIAGNOSE BEFORE BUILD

Business Scenarios Worth Building

Process Diagnosis

Interview process owners and identify goals, bottlenecks, repetitive work, exceptions and current cost.

Opportunity Prioritization

Rank candidates by business value, data readiness, delivery risk and ease of evaluation.

Working Prototype

Build an operable demo with representative samples rather than a concept-only presentation.

Evaluation Design

Measure accuracy, citation quality, handling time, human intervention and failure patterns.

Production Deployment

Connect business systems and add permissions, security, logging, monitoring and rollback.

Reusable Assets

Deliver requirements, test sets, runbooks, demo scripts and lessons learned.

FDE DELIVERY

Delivery Path from Opportunity to Production

  1. Diagnose

    Interview process owners and define goals, data, systems, human decisions and measurable success criteria.

  2. Prototype

    Build an operable demo with real samples to validate output quality, workflow fit and user experience.

  3. Productionize

    Add permissions, logs, testing, monitoring, backup, failure handling and deployment documentation.

  4. Operate

    Review retrieval quality, failure samples, model cost and business feedback, then improve with evidence.

DELIVERABLES

What You Receive

Key decisions, test samples and failure boundaries are documented so the system does not depend on one person’s memory.

  • AI opportunity assessment
  • Process and integration map
  • Prototype scope and success metrics
  • Representative evaluation set
  • Production risk and roadmap
  • Acceptance, training and handover material

FAQ

Frequently Asked Questions

How long does an FDE engagement take?

An initial assessment can usually be completed in several working days. A focused prototype often targets one to two weeks; production timing depends on integration and security.

Can we start without perfectly organized data?

Yes. We first assess data readiness and validate with a representative sample. We do not promise production performance before boundaries are understood.

Does an FDE replace our internal IT or business team?

No. The FDE works with process owners, internal IT and management. The company retains ownership of critical business decisions.

Start with One Workflow Worth Deploying

You do not need a large AI platform on day one. We first define the business goal, data boundary and success criteria, then use one verifiable pilot to decide what should scale.

Book an AI Opportunity Assessment