FOR PROFESSIONAL COACHES
Build AI Capability That Actually Pays Off in Coaching
Insights from 1,000+ AI-Powered Human coaching data points
Most coaches are experimenting with AI.
Very few are building repeatable capability.
March 19, 2026 at 9AM PT | NOON ET
If you’re experimenting with AI but aren’t sure where you stand yet, you’re not alone.
After reviewing 1,000+ Human + AI Coaching assessment data points, one pattern is clear:
62% are experimenting with AI
Fewer than <10% have repeatable workflows
Only 3.8% are connecting AI to measurable outcomes
AI adoption is accelerating.
But experimenting is not capability.
And as expectations rise, the gap between the two is becoming visible.
What this session is really about:
This is not another AI tools overview.
It’s a practical working session for coaches who want to move from scattered experimentation to structured capability that strengthens:
Client preparation
Reflection and insight
Workflow efficiency
Measurable impact
You’ll leave with clarity on what actually works, and what quietly weakens credibility.
What you’ll walk away with…
Based on real coaching data, you’ll learn:
1. The difference between casual AI use and structured capability
Why experimentation feels productive, but rarely compounds.
2. The three patterns separating high-clarity coaches from overwhelmed ones
What the 3.8% are doing differently.
3. Where AI strengthens coaching conversations and where it adds noise
Preparation, reflection, synthesis, and workflow.
4. The most overlooked mistake in agentic workflows
Why jumping into autonomous systems too early creates hidden cost, rework, and client risk — and the one strategy that prevents it.
5. A simple capability sequence you can implement immediately
Three repeatable practices that build leverage instead of adding complexity..
This session is grounded in real usage patterns. Not theory.
The Cost of Staying in Experimentation
Without structured capability, coaches risk:
Inconsistent AI use across clients
Reinventing workflows every session
Reduced confidence when asked about impact
Falling behind as organizations expect clarity, not curiosity
The market is shifting from “Are you using AI?”
to “Can you use it responsibly and effectively?”
This session shows you how to answer that question with confidence.
The gap between experimenting and building capability is widening.
Coaches who build structure now will differentiate.
Those who wait will keep experimenting.
Join us to build AI capability that actually pays off.
March 19 | 9AM PT / Noon ET
MEET YOUR HOST
Led by Lisa Ann Edwards
Microsoft Partner and AI Hackathon Winner, who works with enterprise and public-sector leaders to integrate AI into real leadership workflows — with clear guardrails, measurable impact, and defensible decision-making.
This session is for coaches who need clarity and capability. Not more tools.
If you’re experimenting with AI but want to move beyond scattered prompts and isolated tools, this session will give you structure.
You’ll leave with:
• A clear view of where you stand
• A sequence for building real AI capability
• Practical workflows you can apply immediately
AI adoption is accelerating.
Structured capability is the differentiator.