Manager's AI Coaching Framework and Pre-Coaching Protocol

What this is

Chapter 5 gives managers a four-part framework for where AI is used around a coaching conversation (Before, During, After, Between), an 80/20 division between AI-supported and deeply human touchpoints, a SMART-goal reading for the AI era, a four-phase implementation path, three checklists and a minute-by-minute 15-minute pre-coaching protocol. The book's line: "AI doesn't replace you. It multiplies you."

Use when / Do not use when

Use when a manager wants to coach a team consistently under time pressure. Do not use AI during the coaching conversation (the book's rule: "AI is OFF"), and do not delegate the six items in "Escalation Decision Tree and Non-Delegable List".

The Instrument

The Manager's AI Coaching Framework (book)

Before coaching conversations (AI-powered)

Synthesize recent performance data (do not spend thirty minutes reviewing project files manually).
Aggregate feedback from multiple sources (peer, customer, project outcomes).
Surface patterns the manager might miss.
Suggest coaching questions based on context ("AI can propose starting points. You choose what's relevant.").
Identify development opportunities (where the person is ready to stretch; skills adjacent to current strengths).

During coaching conversations (Human)

"AI is OFF." Sacred human time: presence, listening, relationship. Transform work happens here.
No notifications. No checking AI mid-conversation. "Be human."

After coaching conversations (AI-powered)

Capture commitments and action items while fresh.
Set up follow-up reminders.
Queue relevant resources for the team member.
Track progress against goals continuously, not at next quarter's review.
Prepare for the next conversation (AI has synthesized what happened since last time).

Between coaching conversations (AI-powered)

Ongoing support directly to team members, so they do not wait for the manager to get unstuck.
Practice opportunities for skills discussed.
Accountability nudges ("You committed to finishing the proposal by Friday. How's it going?").
Just-in-time resources.
Micro-coaching moments: small course corrections that do not require a full conversation.

The 80/20 Rule (book)

"80% of coaching touchpoints can be AI-supported. 20% must be deeply human. The art is knowing which is which."

In the 80% (AI): skill practice (repetition with feedback); goal tracking (progress monitoring, milestone reminders; "data management, not wisdom"); resource delivery; pattern surfacing; accountability reminders ("You said you'd do X. Did you?").
Stays in the 20% (Human): identity conversations; career direction and major life decisions; complex interpersonal issues involving emotion, history or politics; ethical dilemmas (right versus right); belief examination; trust repair.

The book's contrast: traditional model of eight direct reports × one monthly conversation = eight touchpoints, quality dependent on the manager's skill and energy that day, no support between conversations; AI-augmented model of the same eight × (daily AI micro-coaching + weekly manager check-in + monthly deep dive), described as 200+ touchpoints per month with consistent quality and continuous support. This is the book's own arithmetic, not data.

SMART Goals in the AI Era (book)

"Traditional SMART goals: Set them in January. Forget them by March. Remember them in December when reviews are due. AI-enhanced SMART goals: Living systems with continuous tracking."

Letter	AI role (book)	Book example
Specific	Clarify vague intentions	"I want to be more strategic" becomes "I will run three scenario planning sessions per quarter and document decision frameworks."
Measurable	Track progress in real time, not just at review time	You know where you stand every week
Achievable	Reality-check against historical patterns	"You've never hit this kind of goal before. What needs to change?"
Relevant	Connect individual goals to team and organizational priorities	"This goal doesn't ladder up to anything we're doing. Is that intentional?"
Time-bound	Manage milestones and send proactive alerts	"You're 60% through the quarter and 30% toward the goal. What's the plan?"
"SMART goals were always good theory. AI makes them practical."

Practical Implementation: four phases (book)

Phase	Weeks	Content
1. Personal Pilot	1-2	Use AI coaching on yourself first: daily reflection, weekly practice, monthly pattern review. Develop your own prompts. Build credibility before asking the team ("I've been using this for two weeks" versus "HR says we're doing this now").
2. Selective Introduction	3-6	Start with 1-2 enthusiastic early adopters (curious, not skeptical). Let them experiment and report back; gather feedback on value and friction. "Don't mandate. Invite."
3. Team Integration	7-12	Roll out to the full team with clear guidelines (what AI does, what I do). Integrate AI outputs into coaching conversations. Establish norms for AI versus human coaching. Begin measuring: is coaching frequency increasing, quality improving, goals getting hit?
4. Optimization	Ongoing	Refine; drop what does not work; increase AI's role where appropriate as trust builds; protect human coaching time for Transform work; share learnings with peers.

The Manager's AI Coaching Checklist (verbatim items)

Pre-Coaching

AI synthesized recent performance data
AI aggregated feedback from multiple sources
AI identified patterns worth exploring
AI suggested potential coaching questions
I've chosen my focus for the conversation

During Coaching

Phone is off, laptop is closed
I'm fully present with this person
I'm listening more than talking
I'm asking open questions
I'm creating space for Transform work if needed

Post-Coaching

The 15-Minute Pre-Coaching AI Protocol (verbatim)

Minute 1-3: Ask AI to synthesize recent performance data for [name].
Minute 4-7: Review AI summary of feedback, patterns, and progress.
Minute 8-12: Ask AI for suggested coaching questions based on what you've reviewed.
Minute 13-15: Choose your focus. Decide what matters most. Prepare yourself to be present.

Book illustration (summary; book illustration, unverified, not for ROI or proof claims)

A manager prepares the night before with a five-minute AI synthesis of a team member's recent work, notices a pattern the manager had missed, picks one suggested question, keeps her phone off in the 1:1, and afterward logs the commitment and lets AI schedule follow-ups. The book frames the unpacking of why the pattern exists as Transform work done by the human.

How to run it (Performance Lab suggested practice)

Run the pre-coaching protocol the day before, not the minutes before the meeting, so the manager has time to settle (a suggestion; the book does not give timing).
Do not let the AI-suggested question set the agenda. Per the book, the manager chooses the focus.
Complete the During checklist at the start of the conversation, not at the end.
After the conversation, enter commitments in the same place each time and record who follows up (AI or human).
Move to the next phase only when the prior phase's feedback (what worked, what created friction) is written down.
Review the 80/20 split per team member: write what was AI-supported and what stayed human. The book gives no target ratio to measure against beyond the stated 80/20 principle.

Record sheet (Performance Lab suggested practice)

Team member: ______ Date: ______ Phase: ______ Pre: summary reviewed (Y/N) ___ questions suggested ___ focus chosen: ______ During: AI off (Y/N) ___ Transform moment present (Y/N) ______ After: commitments ______ follow-ups scheduled ______ next date ______ human follow-up flagged ______ Touchpoints between conversations (AI / human): ______