AI workflows
Put models inside real processes
Classification, extraction, drafting, and decisions as flow steps, with the plumbing, retries, and audit trail handled.
The problem
Most AI pilots die between the notebook and production: no triggers, no retries, no logs, no approval step before the model acts.
After the flow
Models do the reading and drafting; people keep the judgment calls. Every model call is logged with its inputs and outputs.
Three flows teams actually run
Call notes to CRM
Meeting transcripts are summarized, action items extracted, and the deal record updated before the next call.
Content localization
New CMS entries are translated into four languages and queued for human review.
Voice of customer
Weekly survey responses are clustered into themes with quotes, posted where the product team argues about roadmap.
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