AI Advisory
AI Value & ROI
You invested in AI. Now determine whether it is creating value.
AI usage, licence counts, and reported time savings do not automatically demonstrate business value.
AI Value & ROI examines one defined AI investment to understand what it costs, how it is being used, what has changed operationally, where expected value is being lost, and what leadership should do next.
The measurement gap
AI adoption is easier to measure than AI value.
Organizations may know how many licences were purchased, how many users were enabled, how often people log in, and how much time employees report saving. Those signals do not automatically show business value.
Is AI being used for meaningful work?
Has the workflow changed?
Are operational outcomes improving?
Is saved capacity becoming useful work or avoided cost?
Is expected value leaking away?
Does the evidence support continued investment?
What it answers
A clearer view of what the investment is actually producing.
What are we actually investing?
Are people using the capability for work that matters?
What has changed in the way work is performed?
What value can reasonably be supported by evidence?
Where is expected value leaking away?
Should the organization scale, optimize, hold, or rethink?
Method
Follow the evidence from investment to decision.
A five-stage progression separates activity from operational impact and value realization.
Investment
Establish the true cost.
Adoption
Determine whether the capability is being used for meaningful work.
Impact
Identify what has actually changed operationally.
Value
- Potential value
- Realized value
- Uncaptured value
- Financial and non-financial value
- Leaked value
Decide
Recommend a direction supported by the available evidence.
AI value leakage
Value can disappear long before it reaches the business outcome.
A useful value assessment follows the complete chain rather than treating adoption or activity as the endpoint.
- Low adoption
- Trivial use cases
- Unchanged processes
- Duplicated manual work
- Poor integration
- Low trust
- Excessive review
- Weak data
- Missing baselines
- No measurement owner
- Saved time never redeployed
- Unclear governance
Deliverable
An executive decision, supported by evidence.
The assessment makes the evidence, assumptions, gaps, and recommendation visible without manufacturing precision from weak data.
Primary deliverable
AI Value & ROI Brief
- Investment snapshot
- Cost baseline
- Adoption assessment
- Meaningful-usage assessment
- Operational-impact findings
- Potential versus realized value
- Financial or ROI estimate where evidence supports it
- Assumptions and confidence levels
- AI Value Leakage analysis
- SCALE / OPTIMIZE / HOLD / RETHINK recommendation
- 90-day improvement plan
- Ongoing measurement framework
- Executive readout
Decision outcomes
Four possible directions.
Scale
Strong evidence supports further investment.
Optimize
Value exists, but adoption, workflow design, governance, measurement, or implementation is constraining returns.
Hold
Continue operating and measuring before committing additional investment.
Rethink
Current evidence does not support continuing the investment in its present form.
The engagement is successful when leadership obtains a better decision.
Engagement model
Focused enough to move quickly. Rigorous enough to support a decision.
A typical engagement takes approximately 2–3 weeks and examines one defined AI investment, tool, platform, deployment, pilot, or use case.
Good fit
Useful when a real investment decision is approaching.
The offer can examine generative AI, enterprise platforms, internal tools, or AI-enabled workflows. It is not limited to Microsoft or to one type of AI.
Boundaries
What it is not.
- AI implementation
- System engineering
- Dashboard development
- Prompt training
- Vendor selection
- Financial audit
- Guaranteed ROI certification
- Legal assurance
- Privacy assurance
- Cybersecurity assurance
- Regulatory certification
- Unlimited AI portfolio analysis
Frequently asked questions
Questions the evidence should answer.
Can you calculate an exact ROI?
Only where the available evidence supports it. The assessment distinguishes observed evidence, estimates, assumptions, proxies, confidence levels, and measurement gaps rather than presenting false precision.
What if we do not have a baseline?
A missing baseline is itself an important finding. Available operational evidence and defensible proxies can still support a practical decision, while the brief identifies what should be measured next.
Can you review Microsoft 365 Copilot, ChatGPT Enterprise, or an internal AI assistant?
Yes. The engagement can examine one defined tool, platform, deployment, pilot, use case, or AI-enabled workflow. It is not limited to Microsoft or generative AI.
Can you review multiple tools?
The focused engagement is designed for one defined investment. Multiple tools, deployments, business units, or a broader portfolio require separate scoping.
Do you guarantee positive ROI?
No. SCALE, OPTIMIZE, HOLD, and RETHINK are all valid evidence-based outcomes. The purpose is to support a better investment decision, not to guarantee a positive result.
A clearer investment decision
Know what your AI investment is actually producing.
If leadership needs a clearer view of whether an AI investment is creating value, where returns are being constrained, or whether the organization should continue investing, start with a short conversation.