AI Workflow Red-Team Package
A security review for LLM, RAG, MCP, n8n, and agent workflows before they touch customers or production systems.
- Prompt-injection tests
- Tool/API permission review
- Approval-gate findings
Fallen Angel Labs · Waterfall Framework
Secure AI Operations for companies that cannot afford uncontrolled agents.
Fallen Angel Technologies LLC designs approval-gated AI workflows, private deployment kits, and deterministic control planes for teams moving from AI experiments to real operations.
fallen-angel://waterfall/run
✓ intake.normalized
✓ risk.classified
! approval.required: customer_data
✓ ledger.event_written
✓ deterministic_checks.pass
policy: human approval before external action
network: private bind / client-owned deployment
result: autonomy with evidence
PrivateNo public ports by default.
LedgeredTasks and events leave evidence.
GatedHumans approve risky actions.
RepeatableBuilt as productized workflows.
First sellable offers.
Start with practical, fixed-scope packages. Convert repeated delivery patterns into Waterfall product modules.
Client-Owned AI Deployment Blueprint
A private single-tenant deployment plan for organizations that want automation without shared-control risk.
- n8n/Hermes control plane
- secret handling
- backup and handoff runbook
Commercial Roofing AI Assistant
Estimate intake, missing-information detection, job-card creation, and follow-up drafts with human approvals.
- mock-data demo first
- no automatic quotes
- assumptions ledger
Waterfall is the control plane.
Every workflow is treated as a governed state machine: intake, classify, approve, execute, verify, log, and hand off.
1. IntakeForms, inboxes, webhook events, documents, and operator requests.
2. RiskClassify customer data, production changes, financial/legal/security actions.
3. ApprovalStop for human approval before external or high-impact action.
4. Agent WorkHermes/JARVIS and bounded workers draft, transform, inspect, and package.
5. EvidenceDeterministic checks, ledger events, artifact paths, and final runbooks.
Fallen Angel Labs builds the prototypes.
The R&D branch turns operational pain into tested workflows before they become products.
R&D
Prototype discipline
Labs work starts with mock data, scoped tools, deterministic tests, and explicit approval boundaries. No customer workflow becomes production until the control path is proven.
Productization
From one-off build to repeatable kit
When a workflow repeats across customers, it becomes a Waterfall module: docs, tests, diagrams, runbooks, deployment templates, and support boundaries.
Start with a workflow that is risky to automate blindly.
Ideal first fit: customer data, estimates, inboxes, CRM updates, file workflows, compliance evidence, or internal copilots with tool access.