Why FDE Studio
The hard part of enterprise AI is not building it, it is signing it off: no agreed metric, no acceptance criteria, no audit trail. FDE Studio productizes the delivery process so every AI delivery is measurable and signable.
Four steps to a signed delivery
1. Choose the scenario
Pick the first high-value scenario together using a value/feasibility matrix.
2. Compile the plan
Compile the scenario into skills, roles, evaluation sets and acceptance criteria.
3. Run the delivery
A 14-step pipeline executes against a real Harness environment, showing each step's result.
4. Accept and report
Once evaluation passes and gates are met, a printable value report and JSON acceptance package are generated.
Delivery guarantees
- Evaluation gates: delivery cannot be accepted below the pass threshold
- Value report: printable report covering inputs, outcomes and acceptance criteria
- Full audit trail: deliveries, gates, reports and connections are all logged
- Automatic cleanup: temporary workspaces and evaluation resources are removed after delivery
- Enterprise and private deployment: SaaS or customer VPC, workspace isolation, encrypted credentials
- White-label ready: brand name, logo and theme are replaceable
Typical scenarios
- Manufacturing: predictive maintenance and service-recommendation agents, 100% gate pass rate
- Supply chain: inventory alerts and replenishment suggestions from ERP/WMS data
- Customer service: knowledge assistants for dealers and frontline agents
How it relates to Harness
FDE Studio connects to the customer's Harness environment: Harness provides capabilities, FDE Studio turns scenarios into runnable, testable, signable deliverables. Customers do not configure models or APIs themselves.
Get started
FDE Studio is a web product with free pilot evaluation; standard delivery is quoted per project: fde.shenggong.club
For a demo or private deployment, contact us.
FAQ
How long does delivery take?
A single-scenario pilot typically takes 2–4 weeks from assessment through acceptance.
Are temporary resources left behind?
No. The pipeline cleans up temporary workspaces and evaluation resources, and keeps a cleanup record.
Is private deployment supported?
Yes, in the enterprise edition, including white-label and dedicated delivery channels.