Delivery
FDE Delivery Service
A delivery engineer leads discovery, integration, governance, and enablement for enterprise AI rollout.
Start from business goals and process constraints to identify the best first AI rollout target.
Link models, knowledge, permissions, logs, and business systems into usable capability.
Use enablement, documentation, and operating rules so internal teams can run the capability long term.
控制面能力
Planning and Assessment Layer
Review requirements, workflows, and model supply options before defining the first production target.
控制面能力
Integration and Governance Layer
Connect business systems and define logs, permissions, and budget rules before launch.
控制面能力
Launch and Enablement Layer
Organize previews, launch tasks, enablement, and handoff actions so teams can actually receive the new system.
控制面能力
Continuous Operations Layer
Keep optimizing routes, budgets, feedback loops, and operating rhythm after go-live.
Delivery Value Summary
Choose the Right Scenario First
Start from business goals and process constraints to identify the best first AI rollout target.
Connect the Right Systems Next
Link models, knowledge, permissions, logs, and business systems into usable capability.
Complete Operational Handoff
Use enablement, documentation, and operating rules so internal teams can run the capability long term.
Delivery Capability Architecture
Planning and Assessment Layer
Review requirements, workflows, and model supply options before defining the first production target.
- Discovery
- Scenario assessment
- Model selection
Integration and Governance Layer
Connect business systems and define logs, permissions, and budget rules before launch.
- System integration
- Access governance
- Audit design
Launch and Enablement Layer
Organize previews, launch tasks, enablement, and handoff actions so teams can actually receive the new system.
- Scenario preview
- Internal training
- Operational handoff
Continuous Operations Layer
Keep optimizing routes, budgets, feedback loops, and operating rhythm after go-live.
- Spend optimization
- Feedback loops
- Continuous iteration
Key Delivery Modules
Discovery and Scenario Assessment
Decide whether Q&A, assistants, agents, or AI coding is the right first entry point before the build phase starts.
- Goal alignment
- Priority setting
- First-scenario selection
System Integration and Access Governance
Design system integrations, knowledge access, permission boundaries, and audit policy together instead of separately.
- System connectivity
- Permission design
- Audit policies
Spend Optimization and Long-Term Operations
After launch, keep improving routing, budgets, feedback handling, and internal ownership maturity.
- Budget governance
- Operating feedback
- Internal ownership
Primary Roles and Expected Outcomes
Turn enterprise AI into an owned delivery program
The job is not to sell a platform alone; it is to give the customer an engineer-led path to launch, handoff, and operate AI.
Planning and Assessment Layer
Discovery / Scenario assessment / Model selection
Integration and Governance Layer
System integration / Access governance / Audit design
Launch and Enablement Layer
Scenario preview / Internal training / Operational handoff
Continuous Operations Layer
Spend optimization / Feedback loops / Continuous iteration
Discuss FDE delivery
Review the FDE delivery path, integration approach, and internal handoff rhythm.