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Enterprise SDK for Agentic AI Control

Make your AI
Compliant.

Don't get burnt by rogue agents.

MetzuAI is the governance, observability, command & control, token-cost and RBAC layer for every AI agent, tool call and workflow you ship to production.

Book a demo Explore the Command Center
SOC-ready audit trail·On-prem / Private cloud·Model-agnostic
metzu // command-center
LIVE · tenant=acme

Active agents

14

of 27 registered

Token spend (today)

$1284.40

budget $5,000

Pending approvals

3

2 high-risk

Agent registry

  • wire-transfer-approver

    AGT-0421 · core-banking.transfer

    escalated

  • kyc-onboarding-bot

    AGT-0418 · idv.verify

    active

  • claims-triage

    AGT-0411 · crm.ticket.create

    active

  • outbound-campaign

    AGT-0407 · voice.dial

    paused

  • data-export-helper

    AGT-0398 · warehouse.query

    blocked
Live trace
  • 14:02:11POLICYwire-transfer-approver → human approval required (>$10k)
  • 14:02:09TRACEkyc-onboarding-bot ▸ idv.verify ▸ 312ms
  • 14:02:07BLOCKdata-export-helper denied: tool warehouse.query not allowed
  • 14:02:04COSTtenant=acme department=ops spend +$1.84
  • 14:02:01TRACEclaims-triage ▸ crm.ticket.create ▸ 198ms

metzu.console — illustrative

The 5 control layers

Five layers that turn AI experiments into production-grade systems.

From the SDK boundary down to your enterprise systems, every agent action passes through a controlled execution layer.

G

Governance

Policies, approvals, allowed actions, compliance rules, audit logs.

O

Observability

Prompt logs, tool calls, traces, errors, latency, workflow health.

C

Command

Pause, resume, kill switch, action controls, live agent status.

$

Token Cost

Usage tracking, budgets, alerts, model controls, optimization.

R

RBAC

Role-based access for developers, ops, compliance, finance, admins.

Core capabilities

Everything your security, compliance and finance teams will ask for.

01

Agent Policy Control

Define what each AI agent can access, execute, approve, escalate or reject.

Reduces unauthorized or unsafe agent behavior.

02

Tool Usage Governance

Control APIs, plugins, files, databases and external services per agent.

Prevents uncontrolled tool execution and data exposure.

03

Workflow Tracing

Track multi-step automation, handoffs, retries, failures and agent-to-agent activity.

Improves debugging, auditability and visibility.

04

Human Approval Workflows

Require approval before sensitive actions: payments, exports, production changes.

Keeps high-risk workflows under enterprise control.

05

Audit Trail

Capture prompts, responses, tool calls, user actions, decisions and system events.

Supports compliance, incident review and accountability.

06

Cost Controls

Track and limit LLM usage by user, agent, app, workflow, model or department.

Controls token spend, prevents runaway automation cost.

SDK integration flow

Five lines from experiment to controlled deployment.

  1. STEP 01

    Register Agent

    Add every agent, workflow and tool into the MetzuAI registry.

  2. STEP 02

    Attach Policy

    Assign permissions, model limits, allowed tools, escalation rules.

  3. STEP 03

    Trace Execution

    Capture prompts, responses, tool calls, tokens, latency, status.

  4. STEP 04

    Control Actions

    Allow, deny, pause, resume or kill actions by role and risk.

  5. STEP 05

    Report & Optimize

    Analyze performance, cost, compliance and optimization.

Reference architecture

MetzuAI sits between your AI layer and your enterprise systems.

A controlled execution boundary for every agentic decision and action.

Layer

AI Apps & Agents

Copilots, workflows, automation engines, multi-agent systems.

Control plane

MetzuAI SDK Control Layer

Governance · Observability · Command · Token Cost · RBAC

Layer

Enterprise Systems

APIs, CRMs, databases, files, tools, ticketing, notifications.

The MetzuAI platform

Two more SDKs for the perimeter and the conversation.

MetzuAuth SDK

Passwordless, device-bound authentication.

Replace passwords, OTPs and shared secrets with passkeys, biometric approval and transaction signing — for banking, wallets, fintech and enterprise apps.

Read product brief

AI Call Center

Enterprise voice automation, governed end-to-end.

Inbound and outbound AI voice agents wired into your CRM, core banking and ticketing — with recordings, transcripts, sentiment and post-call QA.

Read product brief

Ideal for

Built for regulated, high-stakes operators.

BanksFintechsInsuranceTelecomGovernmentEnterprisesAI Product TeamsAutomation Platforms

Ready to put your agents under control?

Book a 30-minute walkthrough of the MetzuAI SDK — governance, command and cost control, live on your stack.

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