Illustrative deliverable 03
AI & Technology Readiness — Executive Assessment
A decision-oriented view of whether AI ambition is supported by the data, architecture, governance, people and controls required to create durable business value.
Illustrative sample — not client work
Readiness matrix
The score is a navigation aid. The evidence behind it is what matters.
A readiness assessment should distinguish ambition from executable capability and make the blockers to value explicit.
Strategy
Clear use cases tied to commercial priorities.
Data
Ownership and permitted-use rules require work.
Architecture
Integration path is viable but not yet standardized.
Governance
Model-risk and approval controls are immature.
People
Capable team; specialist ownership remains thin.
Security & privacy
Baseline controls exist; AI-specific controls are incomplete.
Executive implication
AI upside is credible only when the operating foundation can support it.
In this fictional scenario, strategy is ahead of data governance and model controls. The investment question is therefore not “Do we have AI use cases?” but “Can the company scale them safely, economically and repeatably?”
01
Data ownership and permitted use
Establish accountable data owners, permitted-use rules and evidence that priority AI use cases can access reliable data lawfully and consistently.
02
Model and decision governance
Define approval, testing, monitoring and escalation expectations for material AI systems before broad deployment.
03
Architecture and security controls
Standardize the integration path, secrets handling, access boundaries, logging and third-party model dependencies.
What the assessment should change
From AI ambition to funded priorities.
A useful readiness review should convert gaps into sequencing, accountable ownership and investment choices.
Value case
Which use cases have a credible commercial benefit, and what assumptions still need testing?
Execution readiness
Which data, architecture, governance and people gaps must close before scale?
Governance
Which decisions require human approval, model testing, monitoring or escalation?
Next step
Use the sample to judge whether the assessment connects AI readiness to business value.
A live assessment would tailor the dimensions, evidence perimeter and priorities to the investment thesis and operating context.