Who owns your brand's
Algorithmic Trust?
Your next buyer or clinician doesn't read your content. Their AI does. The Share of Algorithmic Trust Pilot Study reveals how models cite clinical data — and why any evidence-based business must pivot from human eyes to machine trust.
Share of Algorithmic Trust: An LLM Pilot Study
The first reader of your evidence is no longer human. It’s an AI deciding whether your brand appears in the answer at all. We ran 96 structured probes across four major LLMs, using life sciences as the stress test, and mapped how models citation-track clinical claims. The blind spots we found affect every evidence-based business.
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When AI does the work, what do you do?
Status updates, coordination calls, and reporting. If the model handles all of that tomorrow... what is left of your role? Exploring the transition from task manager to orchestrator. And where you need to be more human.
Read more Pulse 02The Infrastructure of Trust: Breaking the AI "Triple Wall"
Why do 69% of AI pilots fail, 56% return zero value, and 50% stall on data integration? To break the Triple Wall, we must build a secure plumbing of agency.
Read more Pulse 01The SaaSpocalypse: Is the per-seat model dead?
Is the per-seat software model dying? Exploring the shift from "Systems of Record" to "Systems of Action" and why the real opportunity isn't an apocalypse—it's the Outcome Evolution.
Read moreThe Outcome Evolution
Enterprise software is shifting from tools humans use to something that acts on their behalf. Seats, logins, adoption rates. Those were always a proxy for value. What actually matters is what changes. As AI takes on more of the execution, the human role doesn’t shrink — it moves up. From task management to judgment, courage, and imagination. The technology handles the how. The human owns the why and the what. That’s the evolution. Below is my personal thought-leadership playground on this — ideas, some practical research, and the practice including my own AI executive assistant project.