Acme Co

AI Governance Assessment · March 2026

Healthcare500-1000 employees

Overall Governance Maturity

0.1
out of 5.0
Level 1 · ODirected

Early stage — governance foundations being established. Significant gaps in Govern, Monitor, and Measure pillars.

Maturity by Pillar

Pillar Scores

1

STEER

Level 1 · O · Directed
25%
5/9 assessed · 4 gaps
2

ARCHITECT

Level 1 · O · Directed
15%
4/12 assessed · 8 gaps
3

GOVERN

Level 0 · R · Ad Hoc
10%
3/9 assessed · 7 gaps
4

MONITOR & CONTROL

Level 0 · R · Ad Hoc
5%
2/13 assessed · 11 gaps
5

MEASURE

Level 0 · R · Ad Hoc
8%
2/11 assessed · 9 gaps

Sample Control Assessments

P1

AI Governance Steering Committee

No formal committee exists. Leadership mentioned ad hoc decisions made in IT meetings, but no dedicated governance body.

CFO

RNot Started
P1

AI Initiative Portfolio Management

No centralized view of AI initiatives. Multiple teams experimenting independently. IT has partial visibility but no formal portfolio.

CFO

RNot Started
P1

AI Investment Criteria & Scoring

Finance has general IT investment criteria but nothing AI-specific. CFO acknowledged the need for AI-specific evaluation — especially given HIPAA implications.

CFO

YIn Progress
P1

Cross-Functional Governance Representation

IT leads most AI discussions. Compliance and legal are 'consulted' but not formally part of decision-making. CFO wants finance involved earlier.

CFO

YIn Progress
P1

Pre-Deployment Success Metrics

Success metrics defined retroactively, if at all. 'We know it's working when people use it' — no quantitative baselines.

RNot Started
P3

Regulatory Compliance Mapping

HIPAA compliance is strong for traditional systems but no mapping to AI-specific regulatory requirements. EU AI Act not on the radar yet.

CFO

RNot Started
P5

Per-Initiative ROI Tracking

No initiative-level ROI tracking for AI. General IT cost tracking exists but doesn't isolate AI spend or outcomes.

CFO

RNot Started

What Level 3 (Governed) Looks Like

Where Acme Co could be in 6-12 months with structured governance:

AI Governance Steering Committee meeting monthly with cross-functional representation — IT, Finance, Compliance, Legal, Operations
Complete portfolio view of all AI initiatives with defined investment criteria and success metrics before deployment
Policies defined and enforced — agent permissions scoped to least privilege, trust boundaries documented per system
Regulatory compliance mapped: HIPAA controls verified for AI systems, EU AI Act readiness in progress
Human gates for high-risk decisions — action tiers defined (autonomous / supervised / gated)
Regular reporting to the board on AI governance posture and initiative ROI
Kill switches and monitoring in place for production AI systems
Every AI initiative goes through formal approval — no more shadow AI

Assessment Context

Governance Tracks
Employee UseVendor Platform
Complexity Level
Active
Compliance Priorities
HIPAAEU AI Act (Aug 2026)SOC 2
Target Maturity
Level 3(Governed)

Priority Risks

No formal AI governance body — decisions made ad hoc in IT
EU AI Act deadline Aug 2026 — no compliance mapping started
HIPAA controls verified for traditional systems but not AI
No kill switches or monitoring for AI systems in production

Recommended Next Steps

Form cross-functional AI governance steering committee
Conduct AI initiative inventory and shadow AI audit
Map HIPAA and EU AI Act requirements to AI systems
Define investment criteria for AI initiatives