AI Opportunity Audit
Clarify workflow value, system boundaries, data availability, permission risk, and pilot scope before investing in a build.
- Workflow and decision map
- AI opportunity scorecard
- Pilot scope and explicit exclusions
Service products
AI FDE service packages from opportunity to operation.
We split enterprise AI work into units that can be bought, reviewed, and delivered: identify the right workflow, validate it with real context, then add integration, evals, permissions, monitoring, and team capability.
Service packages
Organized by adoption stage, not technology buzzwords.
Prototype Sprint
Build a working AI workflow against real enterprise context to test value, cost, latency, and user acceptance.
- Working prototype
- Integration assumptions
- Pilot-to-production roadmap
RAG and Knowledge Systems
Create retrieval systems for policies, tickets, contracts, and product knowledge with citations, permissions, and evals.
- Ingestion path
- Permission-aware retrieval
- Answer and recall evals
Agent Workflow Integration
Connect AI to business tools and approvals while keeping human confirmation, audit logs, and recovery behavior.
- Tool-calling design
- Approval points
- Failure and rollback behavior
Evals and Governance
Add quality, safety, cost, prompt-injection, permission, and review controls before and after launch.
- Golden datasets
- Regression evals and release gates
- Monitoring and governance checklist
AI FDE Academy
Train internal teams around live implementation so the system can be operated, evaluated, and extended.
- Role-based courses
- Enterprise workflow labs
- Internal playbooks
Engagement model
Validate in a narrow scope before expanding into core operations.
Each engagement is anchored to a specific business workflow, so AI work does not become open-ended consulting.
Workshop
Use 1-2 days to discover workflows, screen opportunities, and align leadership.
- Best for: choosing the first AI scenario
- Output: candidate workflows and investment advice
Sprint
Use 2-4 weeks to produce a working prototype and production feasibility view.
- Best for: a clear business pain
- Output: prototype, metrics, roadmap
Build
Connect the validated workflow to enterprise systems, permissions, monitoring, and release process.
- Best for: pilots ready for launch
- Output: production system and operating controls
Enablement
Turn delivery into team training, templates, and an internal operating method.
- Best for: teams that need to keep operating
- Output: courses, playbooks, review rhythm
Start with one workflow
Bring one stalled AI pilot and we will decide whether it needs audit, prototype, or launch work.
You do not need a full requirements document. Bring the business goal, current systems, data sources, and what already failed.