Generative AI is the largest disruption to software company business models since the emergence of SaaS. In this workshop we'll cover best practices software companies use to take AI-native products from pilot to production, including identifying use cases that drive business value, features that accelerate adoption and pricing strategies that result in profitable growth. This will include an interactive session - so bring your ideas and collaborate with other startups to help find generative AI features that add value to your product
What this session is about
Playbook
Editorial commentary · what to actually do about this on Monday
The concept
Best practices for AI-native software companies: identifying value-driving use cases, features that drive adoption, pricing for profitable growth. Interactive workshop format.
Why it matters
AI is the largest software business model disruption since SaaS. Companies that don't redesign their economics get crushed.
The hard parts
Cost structures don't match SaaS. Per-user pricing leaks margin badly. Profit margins compress 10–30 points without intervention.
Playbook moves
(1) Cost-model every AI feature *before* pricing it. (2) Outcome-based pricing where possible; hybrid (base + usage) where not. (3) Re-price quarterly until you understand the cost curve.
The surprise
Many AI startups underestimate their Day-1 cost structure by 3–5×. Inference costs scale with engagement; engagement scales with success. Successful adoption can break unit economics if pricing is wrong. Pricing is now an engineering concern, not just a finance one.
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Independent editorial perspective — not an official AWS or speaker statement. Designed for executives evaluating what to brief their teams on next.
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