Governance as a Service

A structured governance layer for autonomous AI agents. Every action passes through a five-stage pipeline before execution.

The Pipeline

1

Intent Declaration

The agent declares what it wants to do. The intent is validated for completeness, coherence, and semantic correctness before anything else happens.

2

Context Enrichment

The system gathers surrounding context—historical data, related entities, environmental signals—to give the governance engine a full picture of the request.

3

Policy Evaluation

The enriched intent is evaluated against a configurable policy framework. Tier 1 critical violations trigger an immediate block; other policies produce verdicts and risk scores.

4

Deliberation

A panel of specialized agents deliberates on the intent through multiple rounds, weighing trade-offs and reaching consensus on whether to approve, condition, or escalate the action.

5

Decision + Audit

A final governance decision is assembled with full reasoning, conditions, and a complete audit trail. Every decision is recorded for compliance and learning.

Documentation

Getting Started

Onboard, integrate, and go live in three steps.

Intent Declaration API

Endpoints, action types, and governance decisions.

Onboarding

Context intake, membrane generation, shadow mode, and going live.

Conversational Dashboard

Governance operations through natural language — powered by Claude.

SDKs

Python, TypeScript, and Java client libraries for intent submission.

Shadow Mode

Full pipeline evaluation without enforcement — test governance on real traffic.

Observability & Alerting

Structured logging, Prometheus metrics, distributed tracing, and anomaly alerting.

More on the Way

Policy authoring guides and field-level API references are in progress.
Visit gaas.is for an overview of the project.