Product Strategy: setting course while everything moves
For C-level and product leaders integrating AI into existing SaaS products – with frameworks instead of gut feeling, compliant with the EU AI Act and GDPR.
With AI, strategy means deciding what is worth building – and what isn't. This pillar connects roadmap frameworks, discovery discipline, compliance and go-to-market into one line that holds C-level expectations and engineering reality together.
The deep dives in this pillar
Each cluster answers one search intent – with a focus keyword and a clear content promise. Published, or transparently in progress.
The AI roadmap: features and GenAI initiatives in one plan
Two-lane roadmap, RICE scoring and code reality as the corrective – commitments and bets in one plan.
Read post Focus: AI product discovery frameworkAI product discovery: finding problems AI should actually solve
Four questions against AI for AI's sake: problem proven, AI justified, error tolerance defined, data legal.
Read post Focus: EU AI Act product managementThe EU AI Act for product managers: compliance as a design principle
Risk classes, omnibus deadlines and the five building blocks that belong in the product – including a readiness check.
Read post Focus: GTM strategy for AI productsGTM strategy for AI products: convincing sceptical B2B buyers
Positioning, pricing and launch in a market that uses AI and distrusts it at the same time.
Read post Focus: model-agnostic AI / AI vendor lock-inModel sovereignty: when a letter from Washington switches off your AI tool
Vendor dependency as a strategic risk – and how model-agnostic workflows, routing and hosting choice defuse it.
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