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From MVP to Scale: Integrating AI Into Existing Products

Most of our clients are not starting from zero. They have paying users, legacy code, and real constraints. AI integration must respect all of that.

Audit Before You Automate

Map user workflows and identify high-friction, high-volume tasks. The best AI features remove pain users already feel — not problems you imagine they have.

Feature Flags and Gradual Rollout

Ship AI features behind flags. Measure adoption, accuracy, and support tickets before going wide. We never big-bang AI into production.

Keep the Fallback Path

Every AI feature needs a manual override. Users trust products that work even when the model fails. Design for failure from day one.

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