An 8-dimension executive assessment benchmarked against peer regulated organizations. Generated from 42 executive interviews and 187 use-case inventory items over 3 weeks.
ClientMeridian Health Group
IndustryIntegrated health system · 2.4M lives
SponsorCEO + Board Risk Committee
Diagnostic dateJune 2026
Benchmark18 peer regulated orgs
Overall AI Readiness
42/100
Below peer median (61). Advanced ambition, immature operating foundation.
AI activity found
187
Across 14 departments · 41 shadow · 12 in production
Vendors in use
31
$4.8M annual spend · 62% overlapping capability
Governed initiatives
9%
Peer median 34% · Regulatory exposure elevated
Eight dimensions of AI readiness
Solid = Meridian · Dashed = peer benchmark median
Strategy
55
Peer 62
Data readiness
48
Peer 58
Governance
22
Peer 55
Technology
62
Peer 68
Talent
40
Peer 60
Operating model
28
Peer 55
Risk management
35
Peer 65
Value management
46
Peer 62
Meridian score
Peer benchmark median (18 orgs)
Top strengths & gaps
Interview-based · Findings map directly to the 90-day plan
StrengthModern data platform foundation
Snowflake + dbt investments in 2024–25 gave Meridian a usable enterprise data layer. AI initiatives that plug in cleanly (radiology, coding) move fast; ones that require net-new pipelines stall.
StrengthCEO-level AI sponsorship
The CEO is personally sponsoring AI strategy and has committed FY27 capital. This is above peer median and is the single biggest accelerator once governance is in place.
Critical gapNo enterprise AI governance
No AI policy, no risk-tiering model, no approval workflow, no steering committee. 41 shadow AI use cases identified — several touching PHI and clinical decisions. Regulatory exposure is real.
Critical gapOperating model unclear
Who owns AI is contested between the CDIO, the new Chief Digital Officer, and the CMO's clinical informatics group. Decision rights not defined. Every use case renegotiates ownership.
Major gapTalent thin at the middle
Two senior data scientists, no MLOps, no responsible-AI lead, no clinical AI product management. Vendor dependency is high because the internal muscle isn't there yet.
Major gapVendor sprawl
31 AI vendors, $4.8M in ARR spend. Roughly 62% of capabilities overlap. No procurement gate. Immediate consolidation opportunity: 8–12 vendors and ~$1.6M savings.
90-day executive action plan
Auto-generated · Approved by CEO June 24, 2026
Day
Action
Owner
Loop
Status
0–15
Stand up the AI Steering Committee. Assign decision rights across CDIO, CDO, CMO, CCO, GC.
CEO
Design
In progress
0–30
Publish enterprise AI policy and risk-tiering model. Freeze new AI procurement pending review.
General Counsel + CCO
Design
In progress
15–45
Complete Risk Register for all 187 identified initiatives. Escalate Tier-1 (PHI, clinical decision) to Committee.
Chief Compliance Officer
Diagnose
Ready to start
30–60
Prioritize top 10 use cases using Sherlock Priority Score. Approve investment slate for FY27 Q1.
Chief Digital Officer
Decide
Ready to start
45–75
Vendor consolidation: reduce 31 → 12. Cancellations and renegotiations by procurement.
CFO + Procurement
Design
Ready to start
60–90
Deliver first quarterly Board AI briefing pack. Establish standing cadence.