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The Workshop

AI Is Changing What Your Clients Will Pay For

You leave with 2–3 new service offerings — positioned, priced, and ready to test with real buyers.

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Built for law, accounting, marketing, consulting, staffing, engineering, financial advisory, and architecture firms.

Offering brief: Standing Risk Review, prepared for Caldwell Reeves LLP
Standing Risk Review content page with service definition, pains relieved, and gains created

If this sounds familiar

The same meeting, every quarter.

Your leadership team has had the AI conversation before. More than once. Probably at every meeting for the last year. Everyone agrees something needs to change. Nobody agrees on what first. And by the time anyone tries, the billable work that has to ship this week pulls the decision back into the drawer.

That’s not a strategy problem. It’s an incentive problem. The hours required to rebuild what the firm sells are the exact hours the compensation model punishes. Every partner makes a rational short-term decision and the firm makes a collective long-term mistake.

The partnership meeting is the wrong room for this conversation.

Different room. Different agenda. By the end of Day 2 you have three things a quarterly meeting hasn’t been able to produce: ratified offerings, named owners, and protected time on senior calendars.

Everything below explains how.

Built around decision-making, not technology.

The Workshop uses proven frameworks from strategic facilitation, innovation design, and service economics, adapted for the specific problem of turning AI capability into new professional services offerings.

The structure follows Kaner’s Diamond of Participatory Decision-Making. The divergent phase surfaces assumptions and maps territory your team hasn’t examined together. The convergent phase filters and scores. In between is what Kaner calls the “Groan Zone,” where different perspectives collide and easy answers fall apart. Most workshops skip past this. We don’t. That’s where your team’s assumptions about what’s possible get challenged by what AI actually makes feasible today.

Each session uses ORID (Objective, Reflective, Interpretive, Decisional), a question architecture developed by the Institute of Cultural Affairs. It prevents the conversation from jumping to solutions before the problem is understood. Objective: what’s actually true about the business. Reflective: what surprises or concerns the team. Interpretive: what patterns emerge. Decisional: what to do about it. The people in the room know things they don’t know they know. The right question sequence surfaces insight that a brainstorm never would.

Individual silent writing before any group discussion prevents the loudest voice from anchoring the conversation. It captures every senior person’s perspective, especially the quiet ones who often have the sharpest insight. Dot voting replaces open debate for prioritization, so decisions reflect collective judgment. The managing partner holds a formal Decider role: when the team is split, they make the call. This mirrors how decisions actually get made at the firm and ensures the output has executive commitment.

Day 1

In the Room With Your Team

A full-day facilitated session with you and 3–6 senior people. The day has a deliberate arc: wide open to narrowed down.

1

90 min

Service Landscape Mapping

Your team walks through how the firm actually makes money. We map every service into three categories: what AI can automate, what AI can augment, and what stays human.

2

90 min

Opportunity Identification

For every AI-addressable task on the map: what new service becomes possible? What client segment opens up? What changes about pricing? We typically surface 8–15 opportunities.

3

60 min

Prioritization and Selection

Fifteen ideas aren’t useful. Two or three are. We filter on hard gates (describable to a real buyer, named person to test with, no legal risk), then score on commercial attractiveness and launch feasibility.

4

90 min

Rapid Specification

For each selected opportunity, six questions answered on the wall: What are we offering? Who buys it? How do we deliver? How do we price it? What’s our moat? Who’s the first client? Then a Pre-Mortem: “Imagine this failed. What went wrong?”

Day 2

Specification and Handoff

Independent work. No client time until the closing call. I take the raw material from Day 1 and produce Offering Briefs: 2–3 pages each, specified enough to put in front of a real buyer.

Each brief contains:

Service definition

Written the way a buyer would hear it. No internal jargon, no AI terminology.

Service blueprint

What the client sees, what your team does, what AI handles. Your team builds the delivery workflow from this.

Pricing structure

Specific price point or range, model rationale, and tiered options where appropriate.

Competitive positioning

Where the market is underserving buyers and how this offering fills the gap.

30-day launch plan

Who to call, what to say, and what to send. The first three moves.

The closing call walks through each brief with the managing partner and pressure-tests the key assumptions.

What this is not.

Not AI tool selection or implementation.

I don’t pick your software. The briefs specify what AI needs to do. Your team or an implementation partner handles the technology.

Not a training workshop.

Your team learns about AI capabilities during Day 1, but that’s a byproduct. You leave with offerings, not certificates.

Not another strategy meeting.

Your partnership has already had several. The Workshop produces ratified decisions with named owners and protected time. That’s the difference.

Not a 100-page strategy document.

Three deliverables. Everything fits in a folder, not a binder.

$15,000

Fixed fee. A full day with your senior team. 2–3 offerings ready to test with real buyers.

Book a Conversation

30 minutes with Shawn Yeager. No pitch.

See where your firm stands first