What Stepping Stone is, in one paragraph
The shortest possible explanation of why we're building this, and what it is — written for the busy operator who got the link.
Stepping Stone is the advisory layer between generic AI and a $400k consulting engagement. We capture how experienced executives actually decide — not the polished case study version, the actual operating frameworks — and turn that judgment into a citation-grounded AI advisory layer that companies can use across every leader and every meeting.
The why is older and quieter than the what. Most companies can't afford the executives they need. Most executives have judgment they can't reuse. The technology to close both gaps now exists, but the product doesn't — yet. Generic AI chatbots give you the surface answer everyone is getting. Generic AI doesn't tell you that the CFO who has done this six times always asks the same three questions in week one and that two of them aren't on your list.
We're starting narrow on purpose. One knowledge bank — AI transformation and executive operations for mid-market companies. One contributor cohort, sized to depth not breadth. One pricing model that lets a leadership team get more from a $5k/month subscription than from a $50k/month retainer. If we're right, the depth of judgment compounds with every executive who contributes. If we're wrong, you'll have an honest review of the platform inside three months — same place, same authors.
If you're an operator who wants to contribute, an executive whose company is considering Stepping Stone, or a press contact — we read every message. Apply, request a demo, or just email the founders.
The product, illustrated
What a citation-first answer looks like.
An example of how Stepping Stone surfaces frameworks, next steps, and attribution in a single advisory output.
Question
We're a 600-person healthcare services company. Where should we start with AI — a chatbot, a vendor selection process, or building internal capability?
Direct answer
Start with capability, not deployment. At 600 employees you don't need a product yet — you need a small team (2–3 people) who can evaluate vendors, run controlled pilots, and translate clinical workflow into AI-compatible problem statements.
Frameworks applied
- Capability-before-tool sequencing (mid-market AI transformation)
- Healthcare workflow risk gating (3-tier classification)
Recommended next steps
- Inventory 5 highest-friction workflows; rank by patient-safety exposure.
- Hire a single AI generalist with healthcare-ops experience before any vendor RFP.
- Run a 90-day pilot on the lowest-risk, highest-volume workflow.
Cited executive knowledge
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