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Publish an Annual AI Performance Report
Measure your AI performance to maximize return and mitigate risks with your AI investments.
Organizations are investing heavily in AI, but most lack a structured and repeatable way to define, measure, and communicate AI performance. You need to:
- Develop an approach to measure business value and ROI across multiple business functions.
- Assess the performance of your AI program to drive accountability, outcomes, and year-over-year improvement.
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Critical Insight
Making progress against this mandate is challenging, because:
- There’s no clear view into the initiatives in progress across the organization.
- There’s no agreement on KPIs, baselines, dashboards, and reporting approach, leading to fragmented data and inconsistent metrics.
As a result, leaders struggle to justify continued AI investment or make informed decisions about scaling, funding, or improving their AI portfolio.
Impact and Result
Use this methodology to prepare for and develop an annual AI performance report to measure, benchmark, and communicate AI value consistently. You will:
- Define the scope of your measurement program.
- Identify standardized, business-aligned KPIs so every AI initiative is assessed in a comparable, repeatable way across the organization.
- Create a polished, executive-facing report that helps inform and drive decision-making on your AI portfolio.
Publish an Annual AI Performance Report Research & Tools
1. Publish an Annual AI Performance Report Deck – Measure your AI performance to maximize return and mitigate risks with your AI investments.
This storyboard provides a structured approach to measuring and communicating the business value of AI initiatives, helping organizations understand how to evaluate AI performance and move beyond ad hoc reporting toward a standardized, enterprise-wide view of AI impact.
This storyboard introduces the concept of an annual AI performance report and outlines how organizations can assess AI initiatives across key value dimensions, consolidate performance insights, and use these insights to support strategic decision-making, portfolio governance, and future AI investments.
2. AI Annual Performance Report Executive Presentation Template – Use this template to support the proposal discussion for your AI Performance Report.
Use this tool to consolidate AI performance data and narratives into a single, executive-ready view of business impact, helping organizations overcome siloed initiatives and inconsistent metrics and enabling leaders to make informed decisions on where to invest in, improve, scale, or stop AI initiatives and steer the AI roadmap for the next year.
3. AI Value and Performance Evaluation Tool – Use this tool to define and assess the value of your AI initiatives and the performance of your organization against its AI targets.
This workbook helps you measure performance and value against defined KPIs, compare baseline and achieved outcomes, and determine whether AI investments are delivering expected business value.
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About Info-Tech
Info-Tech Research Group is the world’s fastest-growing information technology research and advisory company, proudly serving over 30,000 IT professionals.
We produce unbiased and highly relevant research to help CIOs and IT leaders make strategic, timely, and well-informed decisions. We partner closely with IT teams to provide everything they need, from actionable tools to analyst guidance, ensuring they deliver measurable results for their organizations.
What Is a Blueprint?
A blueprint is designed to be a roadmap, containing a methodology and the tools and templates you need to solve your IT problems.
Each blueprint can be accompanied by a Guided Implementation that provides you access to our world-class analysts to help you get through the project.
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Guided Implementation 1: Define AI Value and Success
- Call 1: Identify the AI initiatives to include in the annual AI performance report.
- Call 2: Define the value dimensions and metrics used to measure AI outcomes across the organization.
Guided Implementation 2: Measure Your Performance
- Call 1: Collect baseline and current performance data and evaluate AI initiatives using the AI value and performance evaluation framework.
- Call 2: Validate results with initiative owners and analyze the business value realized across the defined value dimensions.
Guided Implementation 3: Standardize and Communicate Performance
- Call 1: Develop the annual AI performance report structure and summarize key insights and performance highlights.
- Call 2: Build the communication plan and prepare the report for executive review and stakeholder communication.
Author
Sumegha Sama
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