AI for Quick Decision-Making and Strategy
Key Topics to Cover:
Introduction to how AI enhances human decision-making.
By the end of this lesson, learners will be able to:
What is decision intelligence and how does AI support it?
Types of decisions AI can help with: sales forecasts, risk detection, customer segmentation, performance trends
Key tools: ChatGPT for insight extraction, Notion AI, AI dashboards (e.g., MonkeyLearn, Google Looker Studio)
Differences between “recommendation,” “prediction,” and “suggestion” in AI outputs
Real-world examples from marketing, sales, and HR
Decision intelligence means using AI to understand, summarize, and support decisions — especially when time, complexity, or data make it hard to decide alone.
It’s not about replacing judgment. It’s about making your decisions faster, clearer, and more grounded in what the data is telling you.
🔍 What Kind of Decisions Can AI Help You With?
Here are practical types of decisions that professionals often face — and how AI can support them:
✅ If you work with reports, feedback, numbers, or summaries — AI can help you decide faster and with more clarity.
1. ChatGPT (OpenAI)
Use it to ask business questions or make sense of raw input.
Try this:
Paste data into a spreadsheet
Ask:
“Summarize key performance trends and suggest two priorities for next month.”
2. Notion AI
Great for strategy documents, meeting notes, and decision briefs.
Try this:
Select a page with meeting notes
Use the command:
“Summarize this into key risks and proposed next steps.”
3. Looker Studio or MonkeyLearn
Helpful for visualizing trends and creating dashboards — especially from form data, tickets, or customer feedback.
Try this:
Connect a spreadsheet of responses
Use a prebuilt template to analyze tone, urgency, or keywords.
Scenario:
Carla is a marketing coordinator preparing for her monthly campaign debrief. She has a spreadsheet with ad data from the last 30 days.
Instead of spending 2 hours manually reviewing, she:
Copies key metrics (CTR, impressions, leads) into a Google Sheet
Uses this prompt in ChatGPT:
“Analyze this ad campaign and highlight the top-performing channel and two areas for improvement.”
Reviews the summary and adds human insights
Shares a one-slide summary with her team on Notion
⏱️ Result: From hours to under 30 minutes — with a clearer, more focused takeaway.
What Does AI Output Actually Mean?
Understanding how to interpret AI answers is key. Let’s clarify:
💡 You’re still the decision-maker. AI helps you reach that point faster and with more confidence.
Beyond Analytics: How Decision Intelligence Transforms Information into Action
Highlight: The article "Beyond Analytics: How Decision Intelligence Transforms Information into Action" by Tellius explores how Decision Intelligence (DI) extends beyond traditional analytics by integrating AI, machine learning, and predictive modeling to convert data into strategic, actionable insights.
Why it’s useful: It offers a practical framework for organizations to move from data analysis to informed action, enhancing decision-making processes across various industries by anticipating future scenarios and aligning strategies with organizational goals.
Competing in the Age of AI: Strategy and… by Marco Iansiti · Audiobook preview
Highlight: Competing in the Age of AI by Marco Iansiti and Karim R. Lakhani explores how AI-driven companies redefine competition, scale, and strategy by eliminating traditional constraints like physical assets and manual processes.
Why it’s useful: It provides executives and decision-makers with a roadmap for transforming their organizations in an AI-powered world, offering frameworks for digital transformation, agility, and network-based growth—critical for staying competitive in today’s economy.