From Roadmaps to Judgement: What Product Leaders Need in the AI Era
AI has commoditised execution. The PMs who thrive next won't be the ones with the best frameworks — they'll be the ones with the sharpest judgement. This talk examines what changes and what doesn't when AI reshapes how products get built.
- Why process-heavy product management is becoming a liability
- How to develop product judgement that AI can't replicate
- A practical framework for deciding what to automate vs. what to protect
Building AI Products People Can Trust
Most AI products fail not because the model is wrong, but because the trust design is missing. Drawing from shipping AI features at Intellect for 4M+ users in mental health, this talk provides a product-led framework for building AI that earns — and keeps — user trust.
- The three layers of trust in AI products: transparency, control, and recourse
- Why high-stakes domains reveal trust failures that consumer AI hides
- Real examples of trust design decisions from mental health AI
Why UX Is Care: Lessons from Mental Health Product Design
In mental health technology, every interface decision is a clinical decision. Every friction point is a potential moment of harm. This talk explores what building products for vulnerable users teaches us about product design everywhere.
- How designing for harm-avoidance improves products even outside healthcare
- The tension between personalisation and safety in AI-driven care
- What every PM can learn from clinical product governance
Scaling Product Teams Without Killing Product Judgement
Most scaling advice optimises for throughput. This talk optimises for judgement — how to grow a product team from 3 to 20+ while keeping the strategic thinking that made the small team effective.
- The "admin tax" problem and how to diagnose it early
- Pod structures that preserve context without creating silos
- When to hire senior vs. grow junior PMs — and the common mistake
AI, Personalisation, and the Future of Mental Health Support
How AI is transforming mental health from one-size-fits-all to adaptive, personalised care. Drawing on Intellect's work serving 4M+ users across cultures and languages, this talk examines what works, what's risky, and what's next.
- How AI triage and matching improve therapy outcomes at scale
- The bias problem in LLMs for mental health — real data from 9 models
- Why the future of care is hybrid, not fully automated
What High-Stakes Products Can Teach Us About Trust
From marketplace fraud at Ola to clinical safety at Intellect — a journey through building products where getting it wrong isn't just bad UX, it's real harm. The trust principles that emerge apply to every product category.
- How trust compounds — and how quickly it collapses
- The fraud-to-safety pipeline: marketplace lessons applied to health
- Why trust is the only moat that survives AI commoditisation