Hashirai

Governance platform

AI governance platform for enterprise AI systems

Run AI workflows with clear rules, verifiable records, and audit trails for every important action. Hashirai gives enterprises the governance layer needed for production and regulated use.

Coverage

Complete architectural oversight

One record layer across models, tools, agents, and human review, so investigations start with evidence instead of scattered logs.

Model actions

Capture prompts, outputs, and model choices with the context that matters.

Records / traces

Tool calls

Track tool use, inputs, and results across APIs, databases, and internal systems.

Tooling evidence

Agent workflows

Follow multi-step agent runs with clear boundaries between steps and decisions.

Workflow graph

Policy decisions

Link actions to the rules, guardrails, and approvals that shaped them.

Policy linkage

Human review

Preserve escalation, review, and sign-off wherever people stay in the loop.

Review trail

Evidence exports

Package records for investigations, audits, and leadership reporting.

Exports / reports

Architecture

Governance across the entire AI stack

Hashirai sits across your AI stack and turns actions, decisions, and review steps into records you can verify later.

  • 01

    Models and reasoning layers

    Works across frontier, open, and domain-specific models, including new releases.

  • 02

    Tools and external systems

    Covers APIs, databases, browsers, internal services, and enterprise platforms.

  • 03

    Applications and agent workflows

    Supports agents, copilots, RAG systems, and custom AI products.

Application layer
Hashirai governance
Model & data layer

Platform capabilities

Verifiable audit trails

A clear history of what happened, when, and in what order.

Provenance records

The context behind outputs, actions, and decisions.

Agent accountability

Trace delegation, tool use, and outcomes across agent steps.

Policy-linked evidence

Show which rules applied and how they shaped the result.

Cross-provider support

Use the same governance layer across different models and vendors.

Investigation ready

Export evidence in a form security, legal, and compliance teams can use.

Stakeholders

Designed for the governing team

Built for organisations where AI governance spans multiple teams, from architecture and security to risk, operations, and leadership.

Governance / risk

Keep controls and accountability clear across models, tools, and agent workflows.

Architecture / security

Work with your existing stack while preserving evidence outside provider dashboards and logs.

Operations / leadership

Turn technical activity into records that decision-makers and regulators can understand.

Governance Review

Workflow Verification

Live
Workflow IDAGT-2048-VERIFY
SystemVendor Risk Review Agent · Claude, policy engine, CRM, sanctions
ActionSupplier payment flagged for human review
OutcomeGOV-12.4 · Pending review · 6 evidence · Export ready

Hashirai verified

Signed governance bundle

sig_ed25519…9f4a2c

Event sequence

  • Input received
  • Escalated for review
  • Record signed

Support stream

AI Governance Platform FAQs

How does Hashirai integrate with our existing stack?

Hashirai integrates through SDKs and APIs, so teams can start with high-value workflows and expand over time without replacing current models or monitoring tools.

Does Hashirai add meaningful latency to production?

Hashirai is designed to record events efficiently. Most teams use integration patterns that preserve performance while still capturing the evidence they need.

Is data handled by Hashirai secure and enterprise-appropriate?

Yes. Hashirai is built for enterprise security expectations, including encryption in transit, strong access controls, and deployment options suited to regulated environments.

Can we use Hashirai for internal auditing only?

Yes. Many teams start with internal investigations and governance reviews, then expand into external audit or regulatory reporting later.

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Deploy AI with confidence.

Put verifiable governance in place for pilots, production rollouts, and enterprise AI systems without losing visibility or trust.