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Open source · Python

← Learning paths> AI Leadership· featured
Beginner path

AI for Leaders: Adopting AI and AI Agents Well

Start the pathAll paths

For team leads, managers and executives who decide where AI goes in their organization. You learn what AI agents can and cannot do today, how to pick use cases with a scorecard, when to build and when to buy, how to roll AI out to a team in 90 days, and how to measure whether it pays off. Every guide ends with a tool you can copy: a scorecard, a decision table, a rollout plan or an ROI worksheet.

7
Lessons
1.5 h
Reading time
Beginner
Level
Free
Cost

The lessons

7 lessons

Read the lessons in order; they are arranged so each one prepares the next. Every lesson is a guide, so you can also open any of them on its own.

  1. [01]AI Agents Explained for Business Leaders: What They Can DoAI agents explained for business leaders: what agents can and can't do today, chatbot vs copilot vs agent, real examples, risks and what to ask your team.Beginner · 13 minOpen →
  2. [02]How to Choose AI Use Cases: A Scorecard and Worked ExampleHow to choose AI use cases and prioritize them: a copyable scorecard for value, feasibility, risk and data readiness, a worked example and a pilot plan.Beginner · 13 minOpen →
  3. [03]Build vs Buy AI Agents: Decision Table and Costs (2026)Build vs buy AI agents: a decision table, the total cost factors on both sides, when each option wins, hybrid options and a worked three-year cost example.Beginner · 13 minOpen →
  4. [04]How to Roll Out AI to Your Team: A 90-Day Adoption PlanHow to roll out AI tools to employees: a 90-day adoption plan with phases, training, champions, usage rules for data you already classify, and metrics.Beginner · 13 minOpen →
  5. [05]How to Measure the ROI of AI: Metrics and a WorksheetHow to measure the ROI of AI and the success of AI and prompt engineering work: baselines, metrics by use case, full costs and a worked ROI worksheet.Beginner · 14 minOpen →
  6. [06]AI Maturity Model: 5 Stages from Experiments to AI AgentsAn AI maturity model for the agent era: five stages from first experiments to AI agents in production, what each stage needs, and a self-assessment.Beginner · 12 minOpen →
  7. [07]AI Agent Governance: How to Govern AI Agents in PracticeAI agent governance in practice: owners, approvals, limits, logging, review cadence and incident steps for AI agents, with templates. Operational only.Intermediate · 13 minOpen →
Start lesson 01

Before you start

  • No technical background needed. Useful if you are responsible for a team, a budget or a decision about AI tools.

Skills you build

  • Explaining chatbots, copilots and AI agents to your team
  • Prioritizing AI use cases with a scorecard
  • Making build-vs-buy decisions with full costs
  • Planning a 90-day AI rollout
  • Measuring AI results against a baseline

By the end, you can

  1. 01Choose AI use cases with a clear score instead of a demo
  2. 02Decide between building and buying with a three-year cost view
  3. 03Run a pilot with a comparison group and a stop rule
  4. 04Report AI results in a way finance will accept

Ready when you are.

7 lessons, in order. Each opens with the full list beside it, so you always know where you are and what comes next.

Start the pathThe guide library