01
AI Strategy & Mandate Alignment
Mandate, priorities, investment criteria
Flagship diagnostic | 4-6 weeks
AI Institutional Readiness Diagnostic
From AI mandate to institutional readiness.
Assess the governance, data, risk, operating model, and value conditions required for responsible AI scale.
Primary leadership question
Is the institution ready to scale AI with control, accountability, and value?
6
Domains
4-6
Weeks
90
Day plan
Ravenmont perspective
AI readiness is an institutional question before it is a technology or model question.
Readiness architecture
Six domains. One institutional view.
02
AI Governance & Decision Rights
Ownership, approvals, escalation
03
AI Use-Case Portfolio & Value Realization
Prioritization, benefits, scale
04
Data, Technology & Integration Readiness
Data, architecture, security
05
Risk, Ethics, Compliance & Human Oversight
Controls, transparency, oversight
06
Operating Model, Skills & Change Readiness
Roles, capability, adoption
Engagement path
A focused route from evidence to leadership action.
Week 1
Align
Mandate and evidence
Week 2
Understand
Interviews and use cases
Week 3
Assess
Data, technology, risk
Week 4
Synthesize
Maturity and constraints
Weeks 5-6
Advise
Readout and 90-day plan
Executive outputs
Built for decisions, not shelfware.
01
Current-state assessment
02
Governance gap analysis
03
Use-case readiness view
04
Risk and oversight findings
05
Maturity heatmap
06
90-day action plan
Advisory boundary
Ravenmont structures readiness. It does not deploy technology.
Independent diagnostics, governance design, operating model recommendations, portfolio structuring, and roadmap definition.
No AI model building, tool deployment, chatbot configuration, platform implementation, system integration, or software sales.
Confidential advisory