How do I quantify AI benefits?

Direct: time savings × rate, error reduction costs, revenue increase. Indirect: customer satisfaction, employee morale, strategic positioning. Be conservative on hard-to-measure benefits.

What costs are often underestimated?

Change management, data preparation, integration, ongoing maintenance, model retraining, and the time from pilot to full value. AI often costs more than expected initially.

How do I handle uncertainty in AI projects?

Use ranges not point estimates. Scenario analysis (optimistic, likely, pessimistic). Sensitivity analysis (what if adoption is lower?). Stage gates with decision points. Contingency budgets.

Should every AI project have a business case?

For significant investment, yes. For small experiments, lighter weight justification. The rigour should match the investment size. But even experiments should have expected learnings defined.

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Business Case

A documented justification for an AI investment, including expected benefits, costs, risks, and strategic alignment.

In-Depth Explanation

A business case is a formal document justifying an investment by demonstrating that benefits outweigh costs and risks. For AI projects, business cases secure funding and set expectations for value delivery.

Business case components:

Executive summary: Key points for decision-makers
Problem/opportunity: What's being addressed
Proposed solution: How AI will address it
Benefits: Quantified value (cost savings, revenue, etc.)
Costs: Implementation, ongoing, hidden costs
ROI analysis: Return on investment calculation
Risks and mitigations: What could go wrong
Timeline and milestones: Implementation plan
Alternatives considered: Why this approach

AI business case considerations:

Uncertainty in AI outcomes (build in ranges)
Data and infrastructure prerequisites
Change management and adoption factors
Ongoing model maintenance costs
Option value of capabilities built

Business Context

Strong business cases secure investment and commitment. They also set realistic expectations, preventing disappointment when AI isn't magic.

How Clever Ops Uses This

We help Australian businesses build compelling AI business cases with realistic projections, ensuring executive support and appropriate expectations.

Example Use Case

"Building a business case for document automation: $200K investment, $500K/year savings, 12-month payback, with sensitivity analysis for different adoption scenarios."