Software support
The GUARDIAN™ assessor can structure the inventory, questions, evidence links, dependencies, exceptions, and review record. It does not decide whether an AI system is safe, compliant, financially successful, or authorized for use.
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Assessment 02
3CEVD™ AI Capital & Return Assessment
AI cost, contribution, capacity, continuity, and dependency visibility
A structured examination of what organizational AI is costing, producing, changing, and depending upon so leaders can make more informed decisions about continued use, correction, expansion, or restraint.
Who it is for
- Leaders responsible for AI spending, operating performance, or technology governance
- Organizations with multiple AI tools but incomplete cost, use, ownership, or outcome visibility
- Teams considering whether an AI investment should continue, change, expand, or stop
What is examined
- AI tools, uses, owners, vendors, contracts, and operating dependencies
- Direct and indirect cash costs
- Cash Return, Capacity Return, and Continuity Return as distinct lines of inquiry
- Workflow, role, skill, workload, and decision changes associated with AI use
- Evidence, attribution, counterfactual uncertainty, and unrecognized costs
- Concentration, lock-in, security, continuity, governance, and human-authority exposure
Information the organization contributes
- AI inventory, stated purposes, owners, users, and approved-use boundaries
- Vendor bills, contracts, licenses, implementation costs, and relevant staff time
- Usage records, workflow descriptions, output evidence, incidents, exceptions, and review records
- Relevant financial, operational, capacity, continuity, and dependency information
What happens
- 01Establish scope
Identify the AI systems, uses, decisions, return questions, time period, and evidence boundaries to be examined.
- 02Build the evidence record
Connect costs, uses, outcomes, changes, dependencies, and participant statements to the records currently available.
- 03Examine return dimensions
Consider cash, capacity, and continuity separately so one favorable signal does not obscure another material cost or exposure.
- 04Test attribution and dependency
Keep observed change, claimed contribution, assumptions, missing counterfactuals, and vendor or operating dependencies visible.
- 05Prepare decision visibility
Organize evidence-supported findings, unresolved questions, priorities, and preconditions for accountable human review.
What the organization receives
- AI capital and use visibility map
- Cost and return evidence record
- Cash, capacity, and continuity return observations kept distinct
- Attribution gaps, dependencies, risks, and unresolved questions
- Decision priorities and evidence requirements for the next decision
What it cannot establish
- Return language does not establish accounting ROI, investment performance, enterprise value, or guaranteed savings.
- The assessment is not a financial audit, investment recommendation, legal opinion, security certification, or regulatory determination.
- Return concepts and the supporting methodology remain under development and must be interpreted within the evidence and scope available.
Accountable use
Software supports the work. People retain authority.
Human judgment and authority
Authorized people establish scope, interpret evidence, resolve material questions, control release, and decide whether an AI use should continue, change, expand, pause, or stop.
Results are assessment findings bounded by the information, records, time period, participants, and method state used. They are not predictive or universally reproducible claims.