Approach 1 (LLM‑First, controlled)

Accelerate intent discovery using LLM assistance, while ensuring that any reporting/automation decision is grounded in auditable, governed logic.

Governance Audit Scalability Developer-friendly

Approach 1 (LLM‑First, controlled)

Accelerate intent discovery using LLM assistance, while ensuring that any reporting/automation decision is grounded in auditable, governed logic.

How it works Value pillars Full authored content

Enterprise value pillars

Edge-style layout
⭐

Fast discovery

LLM proposes candidate intent tags and mappings for ambiguous activities.

⭐

Hard governance gates

Suggestions are reviewed and promoted into deterministic rules/ML before becoming authoritative.

⭐

Risk controls

Expiry, whitelists, audit trails, and deterministic replay for compliance-grade output.

Approach illustration

Custom SVG illustration (original, offline-safe).

How it works

3 steps
1

1. Capture & contract

Deploy agent with strict schemas and privacy controls.

2

2. Suggest (non-authoritative)

LLM assists with clustering/label suggestions; output is provisional.

3

3. Promote to truth

Validate and convert stable patterns into versioned rules/DSL or ML.

Full content (as authored)

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