AI Readiness Assessment

Your AI is only as safe as the environment it runs in

Your employees are already using AI tools. The question isn't whether AI is in your environment - it's whether your data, devices, and governance are ready for it.

Take the 2-Min Self-Assessment
$4.88M
Average cost of a data breach in 2024
IBM Cost of a Data Breach Report
$16.2M
Average annual cost of insider threat incidents
Ponemon Institute
20-40%
Cyber insurance premium increase without AI governance
Industry benchmark
The Problem

AI doesn't break your rules. It follows them perfectly - and that's the risk.

AI Oversharing Through Permissions

SharePoint sites set to "Everyone" in 2018 were invisible to humans who only browsed familiar folders. AI reads everything a user can technically access - including sites they didn't know existed. One prompt can surface board memos, compensation data, and M&A documents to anyone with broad permissions.

Shadow AI With Zero Visibility

Employees are pasting client contracts, financial models, and source code into ChatGPT, Gemini, and free AI tools every day. Not out of malice - out of productivity. Without CASB monitoring for AI-specific traffic, sensitive data flows to third-party models with no retention policies and no way to recall it.

Unmanaged Devices Accessing AI

AI-generated content renders on whatever device the user is on. Personal laptops with no encryption, no remote wipe, no compliance enforcement. A compromised identity on an unmanaged device doesn't just access files - it gets an AI-powered research assistant that exfiltrates data at machine speed.

Bad Data Makes AI Confidently Wrong

Duplicate customer records, incomplete fields, conflicting data across CRM and ERP. AI doesn't flag discrepancies - it picks whichever record it finds first and presents it with the confidence of a polished executive brief. Your team won't know the answer was wrong.

What We Evaluate

Three pillars of AI readiness

01

Data Governance

Can AI access data it shouldn't?

We evaluate your sensitivity labels, DLP policies, SharePoint permissions, and shadow AI visibility to determine whether AI tools can surface sensitive data to unauthorized users.

  • Sensitivity label deployment and enforcement
  • SharePoint and OneDrive permission sprawl
  • DLP policy coverage and enforcement status
  • Shadow AI tool discovery and CASB configuration
  • Insider risk and Adaptive Protection posture
02

Device & Identity Posture

Can you trust who's using AI?

We evaluate your device management, identity verification, and Conditional Access policies to determine whether the endpoints accessing AI tools are trusted and compliant.

  • Device enrollment and compliance rates
  • Conditional Access enforcement on AI apps
  • MFA coverage including admin accounts
  • Stale device and account cleanup
  • App protection on personal devices
03

Data Quality

Will AI give accurate answers?

We evaluate your critical business data for duplication, completeness, and source-of-truth conflicts to determine whether AI will produce reliable outputs.

  • Entity duplication across CRM, ERP, HRIS
  • Field completeness on critical records
  • Source-of-truth mapping per entity
  • Data freshness and staleness
  • Integration pipeline status
How It Works

From kickoff to findings

A structured engagement designed to move fast without cutting corners. No agents installed, no on-premises access required, no disruption to your operations.

Phase 1
Kickoff
Collect business context, confirm read-only tenant access, scope on-premises sync status.
Phase 2
Discovery
Automated data collection via Graph API, compliance portal review, stakeholder interviews.
Phase 3
Analysis
Risk scoring per finding, composite AI Readiness Score, remediation prioritization.
Phase 4
Findings
Executive report delivery, live presentation to CISO and stakeholders, remediation roadmap.
Free Resource

Not sure where you stand?

Take our 2-minute self-assessment. Ten yes-or-no questions across data governance, device posture, and data quality. Your score tells you whether your environment is ready for AI - or whether AI is already creating unquantified risk.

Take the Self-Assessment
0 - 3 High risk - AI is creating unquantified liability
4 - 6 Moderate risk - foundational gaps will cause AI failures
7 - 10 Lower risk - strong foundation, validation recommended
Why Now

The window is closing

Cyber Insurance Requirements

Carriers are now asking specific questions about AI governance, shadow AI monitoring, and data classification at renewal. Organizations that can't answer are seeing 20-40% premium increases - and some are having claims denied.

Security Capabilities You're Already Paying For

Most organizations have data governance, device management, and security capabilities in their existing stack that haven't been fully deployed or configured. The assessment identifies what you have, what's active, and what gaps remain - so remediation builds on what you already own.

AI Is Already in Your Environment

Every day without visibility is another day employees are pasting sensitive data into uncontrolled AI tools. The risk compounds. The organizations assessing now are the ones that avoid the incident later.

Frequently Asked Questions

Common questions about AI readiness

What is an AI readiness assessment?
An AI readiness assessment evaluates whether your organization's data governance, device management, and data quality are prepared for AI deployment. It identifies specific risks - like overshared permissions, unmanaged devices, and duplicate data - that would cause AI tools to surface sensitive information to the wrong people or produce inaccurate outputs.
Is this only for Microsoft Copilot?
No. The assessment covers your readiness for all AI tools - ChatGPT, Copilot, Gemini, Claude, and any other AI assistants your employees are using or plan to use. The underlying risks - overshared data, unmanaged devices, poor data quality - apply regardless of which AI platform is in play.
Do you need to install anything in our environment?
No. The entire assessment is conducted from the cloud management plane using read-only access. No agents, no on-premises access, no VPN, and no write permissions. We use Microsoft Graph API with read-only application permissions and the Purview compliance portal with viewer roles.
What do we get at the end?
A scored report with a composite AI Readiness Score, pillar-by-pillar findings, and a prioritized remediation roadmap that tells your team exactly what to fix, in what order, before going live with AI. We also deliver a live findings presentation to your CISO and key stakeholders.
What if we haven't deployed Purview or Intune yet?
That's common and it's not a blocker. The assessment is designed to work at any maturity level. If a capability isn't licensed, configured, or enforced, that's a finding - not a problem for the assessment. Some of the most valuable reports we deliver are for organizations that haven't deployed these tools yet, because the gap analysis gives them a clear starting point.
How is this different from a security audit or penetration test?
A security audit evaluates your defenses against threats. A penetration test simulates attacks. An AI readiness assessment evaluates whether your data, permissions, devices, and data quality are safe for AI tools to operate on. The risk isn't an attacker - it's your own AI assistant surfacing the wrong data to the wrong person because your environment was built before AI existed.

Find out before your AI does

Your environment has answers you haven't seen yet. We'll show you what AI can reach, what it shouldn't, and exactly how to close the gaps.

Start With the Self-Assessment