Hashmedo Governance · For AI leaders and system owners

Know what your
AI systems
depend on.

Connect the architecture to the evidence behind it. Give system owners the context to review changes, assess readiness and make decisions.

Explore the free demo See the capabilities

Free Enterprise demo access. No card or paid subscription.

Inside the governance workspace
Hashmedo governance dashboard with readiness scores and configured factors for six sample AI systems 76 out of 100 NEEDS ATTENTION
Example dashboard with an illustrated readiness animation. Scores reflect sample evidence and configured policies.

A connected view of the system

Governance with the working context in view.

A system is more than a model. Connect its responsibilities and dependencies to what happens in operation.

01

The architecture behind each system

Connect models, agents, components and data sources. Keep shared dependencies visible across the systems that rely on them.

02

Configurations in context

Create immutable versions and publish a selected version to a specific environment. Keep publication and the agent’s configuration selection explicit.

03

Evidence for the review

Inspect events, metric observations and reported jobs alongside the system they describe. Review the result in its operational context.

04

Your criteria. Your decisions.

Assign your organization’s readiness policies and inspect the failed factors. Bring the owner into questions and reviews that require a human decision.

Explore Governance with sample systems

Six real-world reference architectures.

Explore how the same governance context applies to RAG, support, security and agent operations.

01

Knowledge Assistant

02

Customer Support Copilot

03

Agent Operations

04

Security Incident Triage

05

Revenue Intelligence

06

Release Assurance

Reference systems with sample architecture, configurations and readiness assessments. Vendor connections and external actions are not live deployments.

Create your own demo organization

Built for your existing workflows

Agents contribute. People keep their authority.

Authorized agents use Model Context Protocol (MCP) to discover capabilities, inspect the system and record permitted changes. Human answers and reviews stay with the people responsible.

  1. 01

    Map a system

    Start with its owner, purpose and architecture.

  2. 02

    Connect evidence

    Record activity from the workflow you already run.

  3. 03

    Review the criteria

    Assess evidence against explicitly assigned policies.

  4. 04

    Make the decision

    Inspect the gaps and bring the right person into the review.

A configured readiness score supports your review. It does not certify regulatory compliance.

An organization of your own

Explore governance with your team.

Create an independent governance demo account and explore with sample data. Already using Hashmedo HITL? You can use the same email with separate governance credentials.

Create demo organization
Meet our flagship product: Connect your agents to human decisions with HITL ↗