AI Risk & Readiness Assessment

Unlock AI opportunities with secure, confident deployment

We help compliance-driven organizations move from AI interest to secure, auditable deployment, without exposing sensitive data or creating regulatory liability.

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Secure first. Scale later.

Before your firm commits to Microsoft 365 Copilot, Azure OpenAI, or any AI-enabled workflow, this structured engagement ensures your security controls, data governance policies, and compliance frameworks are in place and prepared to support AI at scale. Two integrated phases assess your risk posture and surface your highest-value, lowest-risk AI opportunities.

Phase 1 · Readiness Assessment

Evaluates your security controls, data governance posture, and compliance readiness to surface gaps before AI deployment creates exposure:

Licensing & entitlement audits
Microsoft Purview & DLP policy review
SharePoint, Teams & data classification mapping
Security control gap analysis
Risk scoring by workflow and data sensitivity

Phase 2 · Opportunity Assessment

Identifies the most valuable, compliant, and security-vetted AI use cases across your compliance and operations workflows:

Compliance stakeholder interviews
Use case scoring against risk and regulatory criteria
Prioritization matrix (value vs. exposure)
Secure pilot planning with access controls

Engagement Timeline

Small firms: 2-3 weeks
Mid-size firms: 3-5 weeks
Large/regulated organizations: 6+ weeks

Benefits of This Approach

Prevents AI from accessing unclassified, sensitive data
Ensures security and DLP controls are in place before LLM deployment
Aligns IT, compliance, and legal ops around a defensible AI governance roadmap
Establishes a repeatable model for pilot selection, risk approval, and expansion
Reduces regulatory and reputational exposure while accelerating time-to-value

Ready to assess your AI risk and readiness?

Schedule a 30-minute discovery call. We’ll help you understand where your organization stands and what actions to take next.

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