
Where clinical judgment and AI systems collide, and decisions have consequences.
| Platform | Pricing | Only free issues | Publishes | Daily | |
|---|---|---|---|---|---|
| Issues | 67 | Founded | 9 months ago | Last Issue | 14 days ago |
| Active | |||||

I spent decades working in and around Employee Assistance Programs, including building digital services inside the industry. I know the economics that kept the traditional model standing.
Employers paid a predictable amount per employ...
For much of my career, the EAP model made practical sense.
Employers needed a way to offer help when personal difficulties began affecting work. Employees needed confidential support they could access themselves. Managers needed expert adv...
Recently, I wrote about what happens when AI meets the Employee Assistance Programme.
I argued that AI could take over much of the routine work EAP has historically done, while making the human and organisational parts of the service more...
I spent thirty years working in EAP, and almost every employer or prospect conversation eventually came down to the same demand. “Show us the ROI.”
That was always difficult because much of EAP’s value sits in events that never happen.
An...
For nearly four decades, I’ve watched mental health tech companies find some new capability that seems to put them ahead of everyone else. And for a while, maybe it does.
The problem is that AI has made “for a while” much shorter. A featur...
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The writers behind this newsletter.
Clinical AI strategist and digital mental health pioneer with nearly four decades across psychology and technology. I advise founders and health systems on product strategy, safety and governance, translating clinical risk into technical reality.
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