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How do I build a business case for AI?

Quick Answer

Build an AI business case by quantifying the current cost of the problem you want to solve, estimating achievable improvements from AI, and calculating projected ROI over 12 to 36 months. Include implementation costs, ongoing operational expenses, risk mitigation strategies, and a phased roadmap. Ground your case in measurable outcomes rather than generic productivity claims.

Summary

Key takeaways

  • Start with the business problem, not the technology
  • Quantify the current cost of manual processes, errors, and delays
  • Use conservative estimates and present a range of outcomes
  • Include a phased approach to reduce risk and build evidence incrementally

A Framework for Building Your AI Business Case

The strongest AI business cases follow a structured framework. Begin by clearly defining the business problem and its measurable impact on the organisation: how much time is lost, what errors occur, where revenue leaks exist, or which compliance risks are present. Next, research how AI has addressed similar problems in comparable organisations, using case studies and benchmarks to establish credibility. Then quantify the expected benefits using conservative, moderate, and optimistic scenarios. Map out all costs including consultancy fees, infrastructure, data preparation, integration, training, and ongoing maintenance. Finally, calculate the net present value and payback period. Present the case with a phased approach where each phase delivers incremental value, reducing the risk of committing to a large upfront investment.

Common Pitfalls When Building an AI Business Case

The most frequent mistake is leading with technology rather than business outcomes. Decision-makers care about revenue, cost savings, risk reduction, and competitive advantage, not technical architecture. Another pitfall is using overly optimistic projections. If you promise 80% cost savings and deliver 30%, the project will be perceived as a failure even though 30% represents excellent ROI. Failing to account for change management costs is equally dangerous. The technology may work perfectly, but if staff adoption is poor, the investment will not deliver its projected returns. Finally, avoid treating AI as a one-off project. Sustainable AI requires ongoing investment in monitoring, retraining, and improvement.

Securing Stakeholder Approval

Tailor your presentation to different audiences. The board cares about strategic alignment, ROI, and risk. Department heads care about operational impact and team implications. IT leaders care about architecture, security, and integration. Prepare a one-page executive summary alongside the detailed business case. Include a clear timeline with decision points and off-ramps. If possible, propose a funded discovery phase or proof of concept as the initial commitment rather than asking for full programme budget upfront. This lowers the perceived risk and allows the organisation to build confidence in the approach before scaling investment.

Related

Related questions

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FAQ

Frequently asked questions

ROI varies significantly by use case. Document processing automation typically delivers 40-70% time savings. Customer service AI can reduce handling times by 25-40%. The strongest returns come from high-volume, repetitive processes with clear performance baselines.

Mitigate risk by starting with a proof of concept, using phased investment, setting clear success criteria, and maintaining off-ramps at each stage. A well-structured project has multiple decision points before full commitment.

Yes, but keep them separate from quantified financial benefits. Decision-makers want to see hard numbers first, with qualitative benefits adding supporting evidence rather than carrying the core argument.

A business leader who understands the operational problem, supported by someone with AI knowledge who can assess technical feasibility. The business case is strongest when it comes from the business side with technology validation rather than the other way around.

Detailed enough to quantify costs and benefits with supporting evidence, but concise enough for executive review. A 10 to 15 page document with a one-page executive summary is typically appropriate. Include scenario analysis showing conservative, moderate, and optimistic outcomes.

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