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AI & Copilot Readiness

How do we govern AI tools when vendors keep launching new ones?

Vendor-agnostic AI governance, Microsoft 365 Copilot, custom agents, Copilot Studio, plus 15+ third-party AI tools. Discover shadow agents, control costs across vendors, prevent sensitive data leakage.

Published For CISO, CIO / CXO, Head of IT
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AI & Copilot Readiness is Rencore's set of capabilities for governing AI tools across vendors. Microsoft 365 Copilot data readiness, custom agent and Copilot Studio inventory and risk assessment, and connectors to Claude, OpenAI, Gemini, GitHub Copilot, Cursor, Windsurf, and other AI platforms. One governance pane, one set of policies, one audit trail across every AI vendor in use.

Why it matters

  • Microsoft 365 Copilot data readiness

    Govern the SharePoint, OneDrive, and Exchange content Copilot can surface. Oversharing violations become Copilot risks; fixing permissions before rollout prevents AI from leaking sensitive documents.

  • Custom agent and Copilot Studio inventory

    Discover every custom agent, Copilot Studio bot, and Power Platform AI flow in the tenant. Inventory who built them, what data they access, who can run them. Detect agent sprawl before it becomes unmanageable.

  • Vendor-agnostic AI tool governance

    Connectors for Claude, OpenAI, Gemini, GitHub Copilot, Cursor, Windsurf, AWS Bedrock, Azure AI Foundry, Glean, LangDock, Haystack, Palantir, Vercel v0, and Mistral. Single pane for human-and-agent AI usage.

  • Per-user, per-vendor cost tracking

    Spending visibility across Claude, OpenAI, Microsoft, and every other AI vendor. Per-user, per-workspace, per-department breakdowns. Catch runaway spend before the invoice surprises finance.

  • Sensitive data and PII protection

    Detect PII or confidential data uploaded to AI workspaces. Detect Copilot training surfaces that include data with the wrong sensitivity label. Block known patterns before they become a breach.

Proof

The capabilities behind the pillar.

The AI vendor zoo

Enterprises adopt AI from many vendors at once. Microsoft 365 Copilot rolls out for the productivity org; engineering teams use Cursor, Windsurf, and GitHub Copilot; data teams use Claude or OpenAI; marketing uses Gemini; specialized teams use Glean, LangDock, or Haystack. Each vendor has its own admin console, its own pricing, its own data policies, and no two are alike.

Without a unifying governance layer, the organization runs N separate AI governance projects in parallel, each with different fidelity and different blind spots. Cost overruns hide in vendor-specific dashboards. Sensitive data leaks happen in the tool nobody is watching. Offboarded employees retain access to AI accounts because the deprovisioning workflow only covers Microsoft.

What Rencore covers

A connector per AI platform, each tailored to that platform’s identity model, cost model, and data surface. Inside Rencore, governance looks the same regardless of vendor: inventories, policies, reports, dashboards, automations. Same severity scale, same audit trail, same evidence pack for the auditor.

Beyond product

AI governance is also a regulatory topic, EU AI Act, sector-specific frameworks, and internal AI usage policies. The Compliance pillar covers the evidence side; this pillar covers the operational visibility and control side. Together they answer the question every CIO and CISO is now being asked: how do we govern AI?

Frequently asked questions

What is Copilot governance?
Copilot governance is the practice of controlling what data Microsoft 365 Copilot can access and surface to users. Since Copilot inherits the permissions of the user who invokes it, overshared content in SharePoint and OneDrive becomes accessible through natural-language queries. Rencore identifies these oversharing risks before Copilot rollout and continuously monitors for new exposure after deployment.
Does Rencore support governance for AI tools beyond Microsoft Copilot?
Yes. Rencore connects to Claude, OpenAI, Gemini, GitHub Copilot, Cursor, Windsurf, AWS Bedrock, Azure AI Foundry, and other AI platforms. Each connector provides tailored policies for cost management, security, adoption tracking, and access control, giving IT a unified governance view across all AI tools the organization uses.
What is Claude governance?
Claude governance covers monitoring and managing Anthropic's Claude AI platform within your organization, tracking costs per workspace and user, detecting inactive accounts, managing API key rotation, enforcing admin role limits, and identifying files containing PII or sensitive data. It ensures AI tool usage stays secure, compliant, and cost-efficient.

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