Work with Us

AI Governance Readiness Sprint

6-8 weeks

Your team wants to build AI features but can't get them through Legal, Security, and Compliance review.

You get:

• AI threat model mapped to your organization's risk framework

• Data governance framework (retention, usage rights, deletion procedures)

• Guardrail requirements for your AI use cases

• Vendor evaluation playbook with must-have security controls

• Documentation package that answers Legal, Security, and Procurement

Outcome: Your AI projects get approved in weeks, not quarters. You know exactly what controls to build (or require from vendors).

HIPAA AI Implementation Package

4-6 weeks

You want to use AI on healthcare data but your compliance team won't approve it because HIPAA requirements aren't clear.

You get:

• HIPAA readiness assessment for AI systems (build or vendor)

• PHI handling procedures for prompts, outputs, and embeddings

• BAA requirements checklist for AI vendor evaluation

• Minimum necessary access controls for AI agents

• Incident response procedures for AI failures involving PHI

• Documentation your compliance team needs to say yes

Outcome: You can confidently implement AI on regulated healthcare data—whether building in-house or evaluating vendors.

Vendor Evaluation Acceleration

8-10 weeks

Your team is evaluating AI vendors but the security review process is taking months and you can't tell which vendors actually meet your requirements.

You get:

• AI vendor security questionnaire (what actually matters)

• Evaluation scorecard mapped to your compliance requirements

• Red flags checklist (deal-breakers vs. negotiables)

• Data Processing Agreement requirements for AI systems

• Reference architecture showing secure integration patterns

• Decision framework your stakeholders can align on

Outcome: You compress 6-month vendor evaluations into 6 weeks and confidently choose vendors who meet your governance requirements.

SOC 2 AI Controls Sprint

8-12 weeks

Your SOC 2 audit is approaching and your auditor is asking about AI governance controls you haven't documented.

You get:

• AI threat model mapped to SOC 2 trust services criteria

• Control documentation for LLM access, guardrails, and agent authorization

• Audit logging requirements for AI systems

• Evidence collection procedures for AI-specific controls

• AI security addendum to existing policies

Outcome: You pass SOC 2 with AI features in scope, with controls documented at audit-grade rigor..

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