Welcome to the AI Powered Executive Reporting course.
In the world of strategy execution, reporting has traditionally been a backward-looking exercise. It usually involves spending hours compiling spreadsheets, chasing down status updates, and manually formatting slides to explain what happened last month.
This course is designed to change that dynamic. By leveraging Cascade’s AI capabilities, we are shifting the focus from compilation to analysis, and from hindsight to foresight.
This course is not just about generating strategy reports faster or automatically; it is about building a reporting engine that acts as a strategic advisor for executives to make better and faster decisions. Over the coming chapters, we will move beyond basic AI reporting summaries and explore how to use AI to surface hidden risks, celebrate wins, and even prioritize resources based on ROI.
By the end of this course, you will be able to:
Whether you are a Chief Strategy Officer, C-Suite leader, Chief of Staff or any other kind of leader, this course will help you reduce the "admin tax" of reporting and increase the strategic value of your insights.
Why does AI matter in the context of strategy? The answer lies in the Data Utilization Gap.
The 5% Problem: Research suggests that the typical organization only utilizes around 5% of the data it has access to when making decisions.
The remaining 95% sits in silos—buried in project management tools, lost in email threads, or hidden in unstructured updates. When humans manually compile reports, we are cognitively limited to that top 5%. We cherry-pick the most obvious KPIs and the loudest project updates because that is all we have the bandwidth to process.
AI removes this bandwidth constraint.
By implementing AI-powered reporting in Cascade, you unlock the following benefits:
The true superpower of Cascade’s AI isn't just that it can write—it’s that it can synthesize.
Strategic context is rarely found in numbers alone. It lives at the intersection of Quantitative Data (KPIs, Metrics, Budgets) and Qualitative Data (Updates, Comments, Risks).
Most reporting tools simply visualize the numbers. Cascade’s AI reads the qualitative context alongside the numbers to provide Decision Support. It distills huge quantities of disparate data points into coherent narratives that suggest what to do next.
This superpower scales with your data. The more you feed it, the smarter it gets.
If you only track high-level KPIs in Cascade, the AI can only give you high-level summaries. However, when you connect your ecosystem—integrating Salesforce for revenue, Jira for development progress, and HRIS for resourcing—the AI begins to see correlations that a human might miss.
It transforms Cascade from a repository of goals into a central nervous system for your strategy, capable of answering complex questions like: "How is the delay in engineering (Jira data) impacting our Q3 revenue targets (Salesforce data), and what mitigation steps should we take?"