Cybersecurity
First-class FDE domain contract in the public FDE Mastery repository.
TINLANCE / FDE MASTERY
A domain-oriented engineering layer for governed AI workflows.
FDE Mastery is designed to move AI from model/API experimentation into workflows with explicit domain contracts, validation, evidence, security boundaries and controlled actions.
Status: Tested
01 / THE FDE MODEL
Tinlance → FDE API → domain contract.
The web platform handles commercial and customer-facing concerns. The authenticated FDE boundary validates tenant/domain context before execution reaches FDE Mastery.
EXECUTION LOOP
Domain Contract → Workflow / Triage → Approved Tools → Policy → Evidence → Human Decision where required
The platform is intentionally designed around governed execution rather than autonomous action by default.
08First-class domains
30Repository build history
HITLHigh-impact action boundary
Evidence: The repository documents an eight-domain platform and a 30-build engineering history. Engineering evidence does not establish customer production deployment, customer outcomes, or independent assurance.
02 / DOMAIN CONTRACTS
Finance / Fintech
First-class FDE domain contract in the public FDE Mastery repository.
HealthTech
First-class FDE domain contract in the public FDE Mastery repository.
Logistics
First-class FDE domain contract in the public FDE Mastery repository.
LegalTech
First-class FDE domain contract in the public FDE Mastery repository.
RevOps
First-class FDE domain contract in the public FDE Mastery repository.
Procurement
First-class FDE domain contract in the public FDE Mastery repository.
Custom
First-class FDE domain contract in the public FDE Mastery repository.
These are supported capability/domain contracts, not claims of eight independent production deployments.
03 / ENGINEERING EVIDENCE
Thirty builds. Not thirty customers.
The repository's build history is engineering evidence. It is not a customer-deployment count.
Domain contracts
Each domain has an explicit contract and workflow boundary rather than a generic industry label.
Controlled execution
Workflows connect context, agents, approved tools, policy, human approval and action.
Evidence
Execution and decision lineage preserve evidence references, approvals and operational state without exposing hidden chain-of-thought.
Evaluation
Golden, adversarial, safety, quality, cost and promotion gates are part of the platform's engineering model.
Human control
High-impact actions remain subject to authorized human review and domain-specific controls.
Integration boundaries
Tinlance remains the commercial/customer-facing layer; the FDE API provides the authenticated boundary into FDE Mastery.
NEXT STEP
Turn a real workflow into a controlled system.
Start with a Technical Assessment to establish domain fit, workflow boundaries, security requirements, evidence needs and the implementation path.