Guarded AI operations
Guarded AI Front Draft Assistant
A support drafting tool designed around private previews, write locks, deterministic validation, diagnostics, and human review.
Problem
The team wanted AI help for support replies without unsafe auto-sending or brittle model behavior. The practical challenge was wrapping model output in enough review, validation, and diagnostics that operators could use it without turning the support queue into an experiment.
Work
- Built TypeScript/Node tooling for draft previews, review commands, audit summaries, and configuration diagnostics.
- Kept real writes gated behind explicit locks and human review.
- Added deterministic validation, structured issue reporting, redaction, offline evals, and fallback behavior.
Outcome
AI assistance became a controlled operator tool: useful for drafting and review, but bounded by guardrails that protect the support workflow.
Build story
From operational mess to trustworthy system.
Support context
Conversation and order context can help draft replies, but unsafe writes would create operational risk.
Guarded generation
The assistant produces a private preview with deterministic validation and redaction.
Human review
Operators review issues before any production-facing action is allowed.
What shipped
- TypeScript/Node tooling for draft previews, review commands, audit summaries, and diagnostics
- Private preview path instead of public auto-reply behavior
- Offline evals, structured validation issues, redaction, and fallback behavior
- Configuration diagnostics for model-backed settings and review commands
Guardrails
- Write locks keep generated output away from customers unless explicitly allowed
- Validation issues name policy, confidence, and missing-context risks
- Audit trail and redaction support review without exposing sensitive text unnecessarily
Proof artifacts
- Sanitized draft-review visual showing preview, validation, write lock, and eval trail
- Offline eval cases for repeatable behavior checks
- Operator diagnostics that make configuration failures visible
Outcome
- AI assistance becomes a controlled drafting aid rather than a risky autopilot
- Reviewers can inspect why a draft is blocked before trusting it
- The tool reflects production support constraints instead of demo-only behavior