Is governing agentic AI at the top of your 2026 agenda?

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Is governing agentic AI at the top of your 2026 agenda?

Products

Agentic AI Governance

Product

AI Use Cases & Initiatives

Product

AI Registry

Product

Compliance Frameworks

Product

Explore Enzai’s full suite of AI governance products designed to help organizations manage, monitor, and scale AI with confidence. From structured intake and centralized AI inventories to automated assessments and real-time oversight, Enzai provides the building blocks to embed governance directly into everyday AI workflows—without slowing innovation.

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AI Governance Podcast

AI Governance Podcast - California's ADMT Regulations with Phil Laird

Enzai

AI Enablement

Automated AI Governance

Third-Party AI Risk

AI Regulations & Standards

Enablement

Automation

3rd Party

Standards

AI Enablement

Solution

An AI adoption framework built to scale: more AI in production, less risk in the gaps.

Book a Demo

AI Enablement

Solution

An AI adoption framework built to scale: more AI in production, less risk in the gaps.

Book a Demo

AI Enablement

Solution

Book a Demo

Third-Party AI Products

52

+16%

since last month

AI Risk Assessments Completed

113

+21%

since last month

Vendor Submissions via Guest Portal

27

+2%

since last month

AI Systems

AI Use Cases

Non-Compliant

Compliant

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Third-Party AI Products

52

+16%

since last month

AI Risk Assessments Completed

113

+21%

since last month

Vendor Submissions via Guest Portal

27

+2%

since last month

AI Systems

AI Use Cases

Non-Compliant

Compliant

Jan

Feb

Mar

Apr

May

Jun

Jul

Aug

Sep

Oct

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Third-Party AI Products

52

+16%

AI Risk Assessments Completed

113

+21%

Vendor Submissions via Guest Portal

27

+2%

AI Systems

AI Use Cases

AI Systems

AI Use Cases

Third-Party AI Products

52

+16%

since last month

AI Risk Assessments Completed

113

+21%

since last month

Vendor Submissions via Guest Portal

27

+2%

since last month

AI Systems

AI Use Cases

Non-Compliant

Compliant

Jan

Feb

Mar

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Most enterprise AI governance programmes hit the same wall: AI is being adopted faster than governance teams can review and approve. When the queue builds, two failure modes follow - use cases either get routed around (becoming Shadow AI) or stall at the gate. Enzai is built to clear that wall. Risk-tiered review keeps the pipeline flowing; deep oversight is reserved for use cases that earn it.

The platform calibrates review depth to actual risk in real time. A marketing summarization tool gets fast-tracked through a low-touch path; a customer-facing decision agent enters the deep-review track with the right reviewers attached. Leadership sees what's adopting, where, and how fast - through dashboards that update as the AI estate changes, not at the next steering committee.

More AI in production is the business outcome that justifies the governance investment. Less risk in the gaps is what protects it. Enzai delivers both because the platform is designed for adoption velocity, not against it.

Adoption, Maturity, Less Risk

Benefits

Adoption, Maturity, Less Risk

Benefits

An AI maturity model that calibrates governance effort to actual risk at every adoption stage.

Risk-Tiered Review

Fast-track low-risk use cases; reserve deep review for what needs it.

Adoption Velocity

Time-to-approval drops as the platform learns your risk patterns.

Shadow AI Detection

Surface AI in use today that never came through intake - fold in without blame.

Live Leadership View

Dashboards update as systems change - not at the next steering committee.

Workflow-Embedded

Pushes into existing workflow tools - like Jira, ServiceNow, Slack. No new tool to learn.

Defensible Decisions

Every approval/rejection logged with reviewers, evidence, and rationale - audit-grade.

For the Enablement Owner

Across the Programme

For the Enablement Owner

Across the Programme

Enablement programmes scale when governance scales with adoption, not against it.

AI Systems

AI Use Cases

Reporting & observability

Generate real-time, audit-ready oversight across your entire AI ecosystem.

AI Systems

AI Use Cases

Reporting & observability

Generate real-time, audit-ready oversight across your entire AI ecosystem.

AI Systems

AI Use Cases

Reporting & observability

Generate real-time, audit-ready oversight across your entire AI ecosystem.

AI Systems

AI Use Cases

Reporting & observability

Streamline AI intake with structured approvals and clear accountability.

AI Vendors

View all AI vendors used by your organization.

AI Products

View all your AI Products in one space

AI Systems

Manage all your AI Systems in one platform

AI Registry Structure

A dynamic, hierarchical inventory of every AI asset and its dependencies.

AI Vendors

View all AI vendors used by your organization.

AI Products

View all your AI Products in one space

AI Systems

Manage all your AI Systems in one platform

AI Registry Structure

A dynamic, hierarchical inventory of every AI asset and its dependencies.

AI Vendors

View all AI vendors used by your organization.

AI Products

View all your AI Products in one space

AI Systems

Manage all your AI Systems in one platform

AI Registry Structure

A dynamic, hierarchical inventory of every AI asset and its dependencies.

AI Vendors

View all AI vendors used by your organization.

AI Products

View all your AI Products in one space

AI Systems

Manage all your AI Systems in one platform

AI Registry Structure

Generate real-time, audit-ready oversight across your entire AI ecosystem.

Basic Documentation

Bias Audit

Approved

Documentation of most recent bias audit and data used.

Bias Audit Results for Selection

AI Systems Control

Streamline AI intake with structured approvals and clear accountability.

Basic Documentation

Bias Audit

Approved

Documentation of most recent bias audit and data used.

Bias Audit Results for Selection

AI Systems Control

Streamline AI intake with structured approvals and clear accountability.

Basic Documentation

Bias Audit

Approved

Documentation of most recent bias audit and data used.

Bias Audit Results for Selection

AI Systems Control

Streamline AI intake with structured approvals and clear accountability.

Basic Documentation

Bias Audit

Approved

Documentation of most recent bias audit and data used.

Bias Audit Results for Selection

AI Systems Control

Define and enforce operational boundaries for autonomous agents and models.

AI System

GC Test 2

Partially compliant

Assess individual AI systems

Evaluate specific risks against global regulations and internal policies.

AI System

GC Test 2

Partially compliant

Assess individual AI systems

Evaluate specific risks against global regulations and internal policies.

AI System

GC Test 2

Partially compliant

Assess individual AI systems

Evaluate specific risks against global regulations and internal policies.

Manage Requests

Streamline AI intake with structured approvals and clear accountability.

Manage Requests

Streamline AI intake with structured approvals and clear accountability.

Manage Requests

Streamline AI intake with structured approvals and clear accountability.

Manage Requests

A dynamic, hierarchical inventory of every AI asset and its dependencies.

Deeper reading on the patterns shaping AI adoption frameworks. Calibration moves that unblock adoption, AI readiness assessments, and the Shadow AI conversations that come up most often.

Shadow AI Guide

AI Inventory Guide

CPO Guide

Walmart RAI Podcast

Agentic AI Guide

Guide

Shadow AI: Discovery and governance

Guide

How to Build an AI System Inventory

Guide

A CPO's Guide to AI Best Practice

Podcast

Responsible AI at Walmart

Guide

What Is Agentic AI Governance?

Claire Deville

Engineer, Enzai

Guide

Shadow AI: Discovery and governance

Guide

Shadow AI: Discovery and governance

Guide

How to Build an AI System Inventory

Guide

A CPO's Guide to AI Best Practice

Podcast

Responsible AI at Walmart

Guide

What Is Agentic AI Governance?

Claire Deville

Engineer, Enzai

Shadow AI Guide

AI Inventory Guide

CPO Guide

Walmart RAI Podcast

Agentic AI Guide

Guide

Shadow AI: Discovery and governance

Guide

How to Build an AI System Inventory

Guide

A CPO's Guide to AI Best Practice

Podcast

Responsible AI at Walmart

Guide

What Is Agentic AI Governance?

Claire Deville

Engineer, Enzai

Deep dive

Why AI adoption frameworks stall and what unblocks them

Most enterprise AI enablement programmes stall for one of four reasons:

Flat review burden across risk tiers. Routine use cases consume the legal/risk team's capacity; high-risk use cases get rushed. People stop using the intake process.
Approval bottleneck. Even sanctioned use cases wait weeks for a green light. Adoption slows; Shadow AI grows.
Invisible adoption. Leadership can't see what's actually being adopted or how fast. Investment decisions are made on lagging quarterly reports.
No embedded workflow. Intake lives in a separate tool. Reviewers context-switch. Decisions don't propagate to where the work happens.

Most enterprise AI enablement programmes stall for one of four reasons:

Flat review burden across risk tiers. Routine use cases consume the legal/risk team's capacity; high-risk use cases get rushed. People stop using the intake process.
Approval bottleneck. Even sanctioned use cases wait weeks for a green light. Adoption slows; Shadow AI grows.
Invisible adoption. Leadership can't see what's actually being adopted or how fast. Investment decisions are made on lagging quarterly reports.
No embedded workflow. Intake lives in a separate tool. Reviewers context-switch. Decisions don't propagate to where the work happens.

Stall pattern	Enzai mechanism
Flat review burden	Risk-tiered intake calibrates depth to use-case type
Approval bottleneck	Fast-track + parallel routing keeps the pipeline moving
Invisible adoption	Live dashboards; leadership view updates continuously
No embedded workflow	Push to existing workflow tools natively - like Jira, ServiceNow, Slack

Stall pattern	Enzai mechanism
Flat review burden	Risk-tiered intake calibrates depth to use-case type
Approval bottleneck	Fast-track + parallel routing keeps the pipeline moving
Invisible adoption	Live dashboards; leadership view updates continuously
No embedded workflow	Push to existing workflow tools natively - like Jira, ServiceNow, Slack

Enzai in numbers

50%

New customer in 2025

500+

Third-party AI solutions tracked automatically.

+1.5M

Decisions, risks and controls tracked across global teams.

Enzai in numbers

50%

New customer in 2025

500+

Third-party AI solutions tracked automatically.

+1.5M

Decisions, risks and controls tracked across global teams.

Enzai in numbers

50%

New customer in 2025

500+

Third-party AI solutions tracked automatically.

+1.5M

Decisions, risks and controls tracked across global teams.

Enzai in numbers

50%

New customer in 2025

500+

Third-party AI solutions tracked automatically.

+1.5M

Decisions, risks and controls tracked across global teams.

Abstract textured visualization representing secure data flow. Enzai is an AI governance platform built by lawyers.

We help you find answers

How does Enzai keep AI adoption moving?

Enzai calibrates review depth to actual risk rather than treating every AI use case the same. Low-risk use cases run a 24-hour fast-track approval; customer-facing decision agents enter the cross-functional deep review. Capacity goes where it matters.

Does Enzai integrate with the tools we already use?

What happens when Shadow AI surfaces?

How does leadership see what's adopting and how fast?

How does Enzai measure enablement programme health?

How long until we see results from Enzai?

Any more questions?

"Time-to-approval on low-risk AI use cases dropped from six weeks to four days. The business stopped routing around governance."

Ready to make AI governance

the team that ships, not the team that blocks?

Enzai is the AI governance platform built to enable AI use across the business - risk-tiered intake, fast-track approvals for low-risk work, and the audit trail to show your working.

Book a Demo

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AI Governance

Infrastructure

engineered for Trust.

Empower your organization to adopt, govern, and monitor AI with enterprise-grade confidence. Built for regulated organizations operating at scale.

Seamlessly connect your existing systems, policies, and AI workflows — all in one unified platform.

Book a Demo

An AI adoption framework built to scale: more AI in production, less risk in the gaps.

52

113

27

52

113

27

52

113

27

52

113

27

An AI maturity model that calibrates governance effort to actual risk at every adoption stage.

An AI maturity model that calibrates governance effort to actual risk at every adoption stage.

Enablement programmes scale when governance scales with adoption, not against it.

Enablement programmes scale when governance scales with adoption, not against it.

Deeper reading on the patterns shaping AI adoption frameworks. Calibration moves that unblock adoption, AI readiness assessments, and the Shadow AI conversations that come up most often.

Deeper reading on the patterns shaping AI adoption frameworks. Calibration moves that unblock adoption, AI readiness assessments, and the Shadow AI conversations that come up most often.

Deep dive

Why AI adoption frameworks stall and what unblocks them

Enzai in numbers

Enzai in numbers

Enzai in numbers

Enzai in numbers

We help you find answers

"Time-to-approval on low-risk AI use cases dropped from six weeks to four days. The business stopped routing around governance."

Ready to make AI governance

the team that ships, not the team that blocks?

Enzai is the AI governance platform built to enable AI use across the business - risk-tiered intake, fast-track approvals for low-risk work, and the audit trail to show your working.

Explore the Full Enzai Platform

Explore the Full Enzai Platform

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AI Governance

AI Governance

Infrastructure

Infrastructure

engineered for Trust.

engineered for Trust.

AI Governance.

AI Governance.

AI Governance.

AI Governance.