Platform

The complete AI governance platform

Six integrated modules and 12 specialized agents working in a 9-stage pipeline — designed for the full lifecycle of governed AI, from domain definition to production monitoring.

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Modules

Six modules. Complete governance.

Each module covers a distinct phase of the AI governance lifecycle, and all share a unified data layer for seamless closed-loop improvement.

Overview

Your command center for AI governance. Real-time readiness scores, health metrics, and deployment signals at a glance.

Readiness scores with quality thresholds
Service health monitoring
Go/no-go deployment signals
At-a-glance governance status

Governance

Define what your AI can do, enforce how it does it, and manage the knowledge it draws from — all under governance controls.

Interactive governance copilot
Scope boundary definition & testing
Policy engine (hard-block, soft-flag, monitor)
Knowledge management with versioning

Testing

Build golden reference sets, run evaluation suites, benchmark configurations side-by-side, and enforce quality gates before every release.

Golden asset curation with versioning
Batch evaluation suites
Multi-run benchmarking (2–10 runs)
Configurable release gates
Interactive test console
Quality trend analysis

Operations

Monitor violations in real time, deep-dive into execution traces, triage flagged responses, and maintain an immutable audit log.

Real-time violation detection (SSE)
7-panel trace explorer
Human-in-the-loop review queue
Multi-step agent workflows
Immutable audit log with checksums
Governance trend analytics

Reports

KPI dashboards, audit reports, and compliance evidence — everything needed to prove governance outcomes to stakeholders and regulators.

Metrics dashboards (quality, violations, latency)
Audit reports with chain verification
Compliance evidence generation
Trend analysis over time

Administration

Configure every aspect of your governance platform: users, roles, API keys, domains, agents, organizations, and integrations.

Users & RBAC with governance scopes
API key management
Domain & knowledge base configuration
Agent pipeline management
Multi-organization tenancy
Webhook integrations
Usage tracking & billing

Pipeline

9-stage governed pipeline

Every query passes through nine distinct stages, each handled by specialized agents with deterministic fallbacks. No shortcuts, no bypasses.

Stage 1

Intake

Intent Classifier — Categorizes queries as search, analytical, conversational, or out-of-scope.

Stage 2

Boundary

Domain Boundary — 3-layer gate: keyword matching, taxonomy classification, and LLM judgment.

Stage 3

Retrieval

Retrieval Engine — Hybrid RAG with dense embeddings, BM25 sparse retrieval, and cross-encoder reranking.

Stage 4

Analysis

Analytics — Generates narrative summaries, aggregate statistics, and chart-ready data.

Stage 5

Personalization

Personalization — Deterministic role-based response tailoring by persona and detail level.

Stage 6

Generation

Response Generator — Cite-first generation with structured facts, interpretation, and refusal outputs.

Stage 7

Validation

Citation Validator — Checks citation presence, fidelity (≥80%), and coverage post-generation.

Stage 8

Governance

Policy Enforcer — Fail-closed enforcement with hard-block, soft-flag, and monitor modes.

Violation Detector — Detects scope breaches, hallucinations, fidelity failures, and quality drops.

Stage 9

Evaluation

Groundedness Evaluator — Checks if claims are supported by evidence with deterministic keyword overlap.

Release Gate — Threshold-based go/no-go against correctness, fidelity, groundedness, and scope.

Golden Validator — Scores responses against golden Q&A pairs on 5 metrics.

Agents

12 specialized agents

Each agent has a single responsibility, a deterministic fallback for when LLMs are unavailable, and serializable state for full audit replay.

Intent Classifier

Intake

Categorizes queries as search, analytical, conversational, or out-of-scope.

Domain Boundary

Boundary

3-layer gate: keyword matching, taxonomy classification, and LLM judgment.

Retrieval Engine

Retrieval

Hybrid RAG with dense embeddings, BM25 sparse retrieval, and cross-encoder reranking.

Analytics

Analysis

Generates narrative summaries, aggregate statistics, and chart-ready data.

Personalization

Deterministic role-based response tailoring by persona and detail level.

Response Generator

Generation

Cite-first generation with structured facts, interpretation, and refusal outputs.

Citation Validator

Validation

Checks citation presence, fidelity (≥80%), and coverage post-generation.

Policy Enforcer

Governance

Fail-closed enforcement with hard-block, soft-flag, and monitor modes.

Violation Detector

Governance

Detects scope breaches, hallucinations, fidelity failures, and quality drops.

Groundedness Evaluator

Evaluation

Checks if claims are supported by evidence with deterministic keyword overlap.

Release Gate

Evaluation

Threshold-based go/no-go against correctness, fidelity, groundedness, and scope.

Golden Validator

Evaluation

Scores responses against golden Q&A pairs on 5 metrics.

Explore agents interactively in the demo

Closed-Loop Governance

The governance flywheel

Production signals continuously feed back into evaluation and policy refinement. Your AI governance gets smarter with every interaction.

Step 1

Production violations detected

Step 2

Evaluation insights generated

Step 3

SME corrections applied

Step 4

Golden references updated

Step 5

Policies improved

Step 6

Better production outcomes

See the platform in action

Explore the full pipeline, agents, and governance controls in our interactive demo.

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