Report Summarization

Why Summarization Matters

Business professionals spend an estimated 2-3 hours per day reading reports, emails, and documents. AI summarization can compress a 20-page report into a 5-bullet summary in seconds — but only if you guide the process.

The challenge is not getting AI to shorten text. The challenge is getting it to keep the right information and discard the right details. A summary that misses the key finding is worse than no summary at all.

Types of Business Summaries

Executive summary — 3-5 sentences. What happened, why it matters, what to do next. Written for someone who has 60 seconds to decide whether to read the full report.

Key findings — 5-10 bullet points. The most important data points, trends, and conclusions. Written for someone who needs the facts without the narrative.

Action items — A list of recommended next steps with owners and deadlines. Written for a team that needs to act on the report.

Comparison summary — Side-by-side analysis of two or more reports. Written for someone deciding between options.

Prompting for Good Summaries

Specify the audience. "Summarize for a VP of Sales" produces very different output than "Summarize for a data analyst."

Specify the format. "Give me 5 bullet points" is better than "Summarize this." If you want a table, ask for a table. If you want headers, specify them.

Specify what matters. "Focus on revenue changes and customer acquisition" tells the AI which information to prioritize over other details.

Example prompt:

> Summarize this competitor report for our VP of Product. Focus on:

> 1. What products they launched in the last quarter

> 2. How their pricing compares to ours

> 3. Any weaknesses we can exploit

>

> Format: 5 bullet points, each starting with a bolded key phrase.

Handling Long Documents

Most AI models have a context window — the maximum amount of text they can process at once. For documents that exceed this limit:

Quality Checks for Summaries

AI summaries can miss critical information or introduce subtle inaccuracies:

Multi-Document Synthesis

The real power of AI summarization appears when you need to synthesize multiple documents:

This is where AI saves the most time — cross-referencing multiple sources is tedious for humans but trivial for AI.

What You Will Build

You will summarize the pre-seeded competitor report and financial summary into executive-ready formats. You will practice different summary types and learn to spot quality issues.

Glossary