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02 · Insights— The analysis

AI governance

This category helps organizations set policies, controls, and oversight for AI systems and user access. It addresses risks related to security, compliance, responsible use, and model deployment at scale.

Data updated

8
deployments
on record
6
industries
led by Tech & Comms
1
publish a quantified result
8 report any result
19 Aug 2026
newest deployment
publication date
§ 1

Where it is used

Tech & Comms accounts for 25% of these deployments.

  1. Tech & CommsEmerging · 0 in the last 6 months
    2
  2. FinanceQuiet · 0 in the last 6 months
    2
  3. RetailEmerging · 0 in the last 6 months
    1
  4. HealthcareSurging · 1 in the last 6 months
    1
  5. EducationSurging · 1 in the last 6 months
    1
  6. ManufacturingSurging · 1 in the last 6 months
    1
§ 2

What it delivers

1 deployments publish a number. The rest describe results in words, grouped below.

  1. Time & speed

    1 metric

    Reduction · median and middle half
    −80%fewMedian reduction −80%, middle half −80% to −80%, from 1 metric

Grey figures rest on fewer than 5 published metrics. Read them as examples, not as a typical result.

Results described in words

  1. Risk & compliance88% of these deployments
    7
  2. Speed & agility38% of these deployments
    3
  3. Innovation & culture25% of these deployments
    2
  4. Ecosystem & partnerships25% of these deployments
    2
  5. Employee experience13% of these deployments
    1
  6. New product / capability13% of these deployments
    1
6 of 8 result types
§ 3

How it is built

Microsoft is named in 75% of these deployments.

  • Custom-built60% · 3
  • Low-code20% · 1
  • Mixed20% · 1

The build approach is known for 5 of 8 deployments (63%). The rest are left out.

Cloud providers named

  1. Microsoft6 deployments
    75%
  2. GCP1 deployment
    13%
  3. IBM1 deployment
    13%

Technologies that recur

  • Copilot 1
  • Power Platform 1
  • Azure AI 1
  • Microsoft Purview 1
  • Google Gemini Enterprise 1
  • AgentSpace 1
  • Vertex AI 1
  • Azure Confidential Computing 1
§ 4

Deployments over time

3 deployments in the last six full months, against 1 in the six before. Counted by publication month since Sept 2024.

The lighter bar is Nov 2026, still in progress: 0 so far.
§ 5

Deployments of this pattern

  1. 19 Aug 2026
    Manufacturing

    Regal Rexnord implements Microsoft Agent 365 as an enterprise AI control plane

    Regal Rexnord · Microsoft

    Regal Rexnord deployed 16 production and pilot AI agents across Customer & Commercial, Supply Chain, Finance & Sourcing, and Enterprise Enablement. It partnered with Insight to evaluate and implement Microsoft Agent 365 as a centralized governance and observability layer for its AI-agent ecosystem.

  2. 13 Jul 2026
    Education

    University of Kentucky scales Microsoft Copilot with CATS AI governance framework

    University of Kentucky · Microsoft

    University of Kentucky unified more than 150 fragmented AI initiatives with a campus-wide CATS AI governance framework. The university standardized on a Microsoft AI portfolio including Microsoft 365 Copilot, Microsoft Dragon Copilot, GitHub Copilot, and Microsoft Power Platform on Azure. The implementation spans education and healthcare workflows, supporting clinicians, students, and staff across the university system.

  3. 6 Jul 2026
    Healthcare

    BeeKeeperAI EscrowAI: secure agentic AI validation on protected healthcare data using Azure Confidential Computing and Confidential Ledger

    BeeKeeperAI · Microsoft

    Healthcare organizations and AI developers face persistent barriers to validating and deploying AI because access to sensitive data is limited by governance, privacy, cybersecurity, and intellectual property concerns. BeeKeeperAI developed EscrowAI on Microsoft Azure to create a governed collaboration model in which encrypted models and encrypted datasets interact only inside Trusted Execution Environments. EscrowAI enables protected AI workloads, including machine learning, analytics, large language models, and agentic AI, to execute against sensitive datasets while remaining inside the data custodian's Azure environment.

  4. 17 Mar 2026
    Finance

    NLB scales AI agents with enterprise agentic governance

    NLB Bank · Microsoft

    Nova Ljubljanska Banka (NLB), Slovenia’s largest banking group, partnered with Adastra to deploy a centralized enterprise agentic AI platform for scaling internal AI agents under bank-grade controls. The platform standardizes agent design, approval workflows, role-based access, policy enforcement, dedicated experimentation/testing/production environments, cost controls, and observability while preserving model choice across cloud GenAI services. NLB says the approach enables safe, scalable AI adoption across departments with full traceability and predictable costs.

  5. 10 Sept 2025
    Finance

    Banco do Brasil scalable AI governance with watsonx.governance (with EY)

    Banco do Brasil · IBM

    Banco do Brasil engaged EY and IBM to establish a unified AI governance model for responsible AI adoption across critical banking functions. IBM operationalized the governance strategy through watsonx.governance, adding real-time monitoring, proactive alerts, explainability, traceability, and continuous oversight.

  6. 6 Jun 2025
    Tech & Comms

    SID Global Solutions operationalizes Google Gemini Enterprise for scalable AI enterprise agents

    SID Global Solutions · GCP

    SID Global Solutions, a Google Cloud partner in India, operationalizes Google Gemini Enterprise to deploy secure, scalable AI agents integrated with enterprise data and workflows for improved decision-making and operational efficiency. The solution uses Google Gemini Enterprise, AgentSpace, and Vertex AI to build role-based, governance-compliant AI assistance for enterprises. SIDGS focuses on delivering production-grade AI systems with speed, security, and governance, moving organizations beyond experimentation to real enterprise AI adoption at scale.