30/20 Enterprise Security · AI Governance

Adopt AI under pressure — without slowing down.

Enterprises are scaling AI under real security and compliance pressure. AI Governance is the design, planning, and operations that let you move fast on AI without multiplying risk and cost — governance that enables the business rather than blocking it.

Governance that
enables

Moving fast on AI without architecture multiplies risk and cost, not value. We put the structure behind every AI decision — so leadership keeps visibility and control while teams keep their speed.

i.Design & Planning

We design the AI governance operating model for your organization: the policies, decision rights, review gates, and accountability that turn ad-hoc AI adoption into a managed program. Grounded in recognized frameworks and tailored to your regulatory context — finance, health, public sector, and beyond.

  • Governance operating model
  • Policy & framework design
  • Risk & review gates
  • Regulatory alignment (GDPR, HIPAA, SOC 2)

ii.Integration & Operations

Governance only works when it's wired into how work actually happens. We integrate review and approval workflows into your existing tooling, then run the operations — intake, review, audit trail, and reporting — so every AI request is governed without becoming a bottleneck.

Our AIRT platform operationalizes exactly this: structured security, legal, finance, and architecture reviews before executive approval, with enforced SLAs and a complete audit trail.

Client engagements
Led a cybersecurity governance initiative for a manufacturing company using the NIST CSF, advancing the program to a “Managed and Measurable” maturity level.
Led a SOX remediation program for a national real estate firm, addressing all SOX-relevant applications and ITGCs — resulting in successful remediation of all deficiencies.

iii.Administration

Ongoing administration keeps the governance program current as your AI footprint grows: maintaining the policy library, onboarding new tools and use cases, refreshing risk assessments, and producing the evidence leadership and auditors need.

Govern AI with confidence.

Start with a read on where your AI adoption stands today — and what governance it actually needs.