Internal efficiency and data plumbing. Automating manual back-office tasks.

Adding thin AI layers to existing features (summarization, rewrite).

AI features aware of user history and account-level behavioral data.

AI-first workflows that replace manual data analysis with proactive insights.

AI agents executing tasks on behalf of the user within predefined guardrails.