Editorial
Writing
Stories from the masthead, plus notes from the desk. Bylines are the authors we defined — not one voice on every URL.
Sequencing AI Investments by What Hurts Your Customers First
A 200-SKU skincare brand burned $40K and a quarter by picking the flashiest AI tool instead of the one that stopped the bleeding. The Bleed-First Framework ensures you sequence investments by operational damage — not vendor pitch decks.
Dana Whitfield · March 3, 2026
The Intake Problem That Rewires How Small Firms Think About AI
Most small law firms approach AI as a tool question — which product, which feature, which price. The ones pulling ahead treat it as a capacity question, and the difference reshapes the entire practice.
Dana Whitfield · March 3, 2026
The Healthcare AI Decision Rubric Your CFO Actually Needs
Most health systems evaluate AI the same way they evaluate EHR upgrades — committee meetings, vendor demos, and hope. A sharper filter exists: the Three-Gate Rubric separates the 90-day wins from the five-year money pits.
Dana Whitfield · March 3, 2026
The Solo Advisor Capacity Problem AI Actually Solves
A solo RIA in Scottsdale went from drowning at 90 clients to comfortably managing 130 — not by hiring, but by restructuring her week around a three-phase AI workflow. Here's the framework she used and the specific tools that made it work.
Dana Whitfield · March 3, 2026
The AI Adoption Paradox in Financial Services: Why Most Deployments Fail After Launch
JPMorgan runs 200 AI use cases. Most regional banks run pilots that go nowhere. The difference isn't technical—it's knowing which problems AI actually solves, and building systems that work when the AI fails.
Dara Keating · October 18, 2025