David StottMBA

Executive Assessment

Enterprise AI Readiness Assessment

Assess whether an AI use case has the business, data, architecture, work-design, governance, and trust conditions required to proceed responsibly.

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Weighted Readiness Profile

Score the operating evidence, not the ambition.

Use a five-point scale. All questions are required so each weighted dimension is represented in the executive summary.

0 of 18 questions0% complete
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01

20% weight

Business alignment and ownership

The AI use case addresses defined friction and has an accountable business owner.

1The use case begins with a defined business outcome rather than available AI capability.
2The friction preventing that outcome is supported by evidence.
3One business leader owns the decision, operating consequence, and value realization.
02

18% weight

Data and grounding readiness

Required context is governed, reliable, accessible, and traceable.

1Required data and knowledge sources have accountable owners.
2Information quality and limitations are understood for the intended decision.
3Grounding, source traceability, privacy, and access controls are defined.
03

15% weight

Architecture and integration

The capability can operate securely within enterprise workflows and support practices.

1The use case can access required context without fragile manual integration.
2Security, identity, environment, reliability, and support responsibilities are defined.
3Model, prompt, configuration, and integration changes can be controlled and reviewed.
04

17% weight

Work redesign

Human decisions, exceptions, handoffs, and automation boundaries are intentional.

1The target work has been simplified before AI is introduced.
2Human, AI-informed, AI-recommended, and automated decisions are explicitly separated.
3Exceptions, overrides, prohibited actions, and fallback work are defined.
05

15% weight

Governance and risk

Risk-tiered accountability, controls, escalation, monitoring, and response are operational.

1The use case has an agreed risk classification and proportionate controls.
2A person remains accountable for every material recommendation, decision, or action.
3Monitoring, escalation, incident response, audit, and authority to pause are ready.
06

15% weight

Talent, trust, and value

People can use and challenge the system, and value measures govern continued investment.

1Users understand what the AI can and cannot do and how to challenge it.
2Teams have the skills and capacity to operate and improve the use case.
3Continued investment depends on decision quality, capability, risk, customer outcomes, or business value.

Answer all questions to calculate the weighted result.