Professional Development

AI for Managers: Coaching, Planning, and Decision Support

Not a tools tour. A practical system for making your real management work faster and sharper with AI, while keeping judgment, accountability, and relationships where they belong: with you.

Frontline Managers Operations Leads People Managers Team Leads Senior ICs Moving into Management
7
Modules
31
Lessons
7
Knowledge Checks
Progress
0 / 31 lessons

What You Will Be Able to Do

Seven Capabilities by the Final Lesson

Understand

How AI Actually Works

The mental model that tells you when to trust output, when to verify, and when to keep AI out of the room

Direct

AI With Clear Prompts

Turn your delegation skill into a repeatable system for coaching, planning, and decision prep

Prepare

Richer Conversations

Use AI to surface patterns and questions before one-on-ones and coaching sessions, without scripting the conversation

Compress

The Planning Grind

First drafts, scenario stress-tests, and synthesis at speed, while keeping the judgment of what matters entirely yours

Counter

Automation Bias

Procedural habits that keep you from over-trusting fluent, confident AI output on decisions that matter

Protect

Privacy and Fairness

Built-in checks for data protection and bias that happen in the moment of the task, not saved for a compliance review

Build

Team AI Norms

A 15-minute conversation that sets shared expectations and makes responsible AI use a daily team habit

Course Map

Seven Modules, 31 Lessons

1

What Managers Actually Need to Know About AI

The accurate mental model, the four failure modes, and a first win before the module ends

Lesson 1.1

Your First Win: the One-on-One Note Triage

Proof of value before the theory

Lesson 1.2

How Large Language Models Work

The version that matters for managers

Lesson 1.3

The Four Failure Modes Every Manager Must Recognize

Hallucination, automation bias, representational bias, context blindness

Lesson 1.4

AI as a Thinking Partner, Not an Oracle

The human-AI division of labor that works

Lesson 1.5

Mapping Your Management Work to AI Opportunity

Augment freely, augment with care, keep human + Task audit
2

The Manager's Prompting Toolkit

Prompting as a delegation skill, working from the messy inputs you actually have

Lesson 2.1

Why Prompting Is a Management Skill, Not a Technical Skill

The five-element prompt

Lesson 2.2

Working From Messy Inputs

What to include, cut, anonymize, and verify

Lesson 2.3

Prompting for People Management

One-on-ones, feedback, development, career conversations

Lesson 2.4

Prompting for Planning and Decisions

Options, pre-mortem, devil's advocate, reframe

Lesson 2.5

Building a Personal Prompt Library

Three starter prompts you can use today + Diagnose the prompt
3

AI-Assisted Coaching

Better preparation for one-on-ones and feedback, with the conversation firmly in your hands

Lesson 3.1

What AI Can and Cannot Do in a Coaching Context

Where the line sits, and why it matters

Lesson 3.2

Preparing Richer One-on-Ones With AI Support

Patterns, questions, and the non-negotiable human step

Lesson 3.3

Drafting Feedback That Is Specific, Fair, and Actionable

SBI structure + Bias checkpoint

Lesson 3.4

Career Conversations in an AI-Transformed Workplace

Skill adjacency, durable skills, automation risk

Lesson 3.5

When to Bring in a Human Coach and When AI Tools Are Enough

The four-and-four boundary + Choose the coaching approach
4

AI-Augmented Planning

Compress the planning grind without outsourcing the judgment of what matters

Lesson 4.1

The Planning Bottlenecks AI Is Best Positioned to Solve

Blank pages, narrow options, stakeholder drafts, risk gaps

Lesson 4.2

Building Faster, More Complete First Drafts

OKRs, plans, status reports, stakeholder updates

Lesson 4.3

Scenario Planning: Expanding What You Consider

Four scenarios in under an hour

Lesson 4.4

Synthesizing Large Inputs, With Verification Discipline

The lost-in-the-middle effect, the spot-check habit + Match the planning move
5

AI-Supported Decision Making

Structured patterns to sharpen decisions, and the counter-habits that prevent automation bias

Lesson 5.1

How AI Changes the Decision-Making Environment

Automation bias, fluent output, and System 1 risk

Lesson 5.2

Sorting Decisions by Risk Before You Reach for AI

Low, medium, and high-stakes tiers

Lesson 5.3

Structured AI-Assisted Decision Patterns

Option generation, pre-mortem, devil's advocate, assumption audit

Lesson 5.4

What AI Cannot Provide, and Calibrating Trust

Four human inputs, three-question trust calibration

Lesson 5.5

Building a Team Culture of Healthy AI Skepticism

Modeling verification, naming the drift + Decision audit
6

Responsible AI Practice for Managers

Privacy, bias, transparency, and team norms: the accountability layer that only you can close

Lesson 6.1

Why Managers Are the Accountability Layer for AI

From principles on paper to daily practice on the team

Lesson 6.2

Privacy and Data Protection in Everyday AI Use

Data minimization, the noticeboard test, GDPR in practice

Lesson 6.3

Bias in AI-Assisted People Decisions

How bias gets embedded, three verification habits

Lesson 6.4

Transparency With Your Team About AI Use

What to disclose, how to frame it, the transparency dilemma

Lesson 6.5

Setting Team Norms for AI Use

The 15-minute conversation that changes daily behavior + Policy application
7

Putting It Together

The through-line in your own words, and the small set of habits that will actually change next week

Lesson 7.1

The Through-Line: What All Six Modules Were Really About

One argument, plainly stated

Lesson 7.2

Your Action Plan

This week, this month, this quarter + Real commitments in real tools