AI Product Strategy: From Demo to Revenue
How to scope AI products that earn their keep — with examples from Kaizen, Anne, AssetIQ, and Navbot.
- Duration
- 30–45 min
- Audience
- Product teams, founders, AI builders
Speaking
I speak about the intersection of AI, operational rigor, and product outcomes — with real case studies, not theory. Event organizers: use the media kit on /about or the invite form below.
Topics
How to scope AI products that earn their keep — with examples from Kaizen, Anne, AssetIQ, and Navbot.
Why naming the number before the feature changes prioritization — and how Toyota rigor applies to SaaS.
Constraints as product advantage: offline-first, POS for busy lines, inventory truth when connectivity fails.
What changes when the PM can prototype, read code, and earn engineering trust — from 863K downloads to 264% growth.
From Mave CMS to AssetIQ — scope discipline, deployment proof, and metrics investors believe.
Compound gains over hero launches — how $40M in savings shaped my approach to AI products.
Appearances
Panel discussion on building products for real-world constraints — connectivity, operations, and adoption.
Guest contribution on outcome-first AI scoping — tying features to revenue, cost, and accuracy metrics.
Testimonials
“Atiq has a rare instinct for the one thing that matters. He'll cut a bloated scope in half and somehow the numbers go up. He thinks like an owner, not a feature manager.”
“He's the only PM I've worked with who could add real value in a roadmap review and a code review. He brings the problem, not a dictated solution — which is exactly why the team shipped faster with him.”
Invite
Email with your event details — topic, audience, date, and format. I'll respond within 2 business days.