Get Serious About AI ROI
Why are we talking about ROI?
Companies have honed their skills in measuring investments, e.g., in their factories, tools, and people, yet when it comes to measuring AI investments, there seems still quite some work to do to improve ROI measurement maturity.
Based on our empirical experience, we claim that 90–95% of AI investments are nowhere near the required level of systematic approach or executive attention they deserve.
What is ROI in AI?
AI ROI capability refers to an organization’s ability to define, measure, and manage the business value created by AI initiatives. At its core, it’s about setting clear, outcome-oriented KPIs and building the technical and financial infrastructure needed to track them accurately.
In short, AI ROI capability is all about building the systems, skills, and discipline to make AI value measurable and actionable.
How to move forward with AI ROI?
Renessai has been collaborating with top academic experts to develop a measurement model for clients.
Several things matter when it comes to AI ROI:
- AI type, design, and purpose
- Industry context
- AI Maturity
- Leadership philosophy
- Measurement style
ROI increases significantly when measurement is focused and steered to the high-leverage and high-volume use cases of the company.
Small productivity gains in high-volume work can compound into substantial results at scale.
Ready to get serious about AI ROI?
Building this discipline takes more than a dashboard. Talk to us about making your AI value measurable — and managed.