Case Study
A closer look at how this system was designed, architected, and rolled out in production. Each section below captures one part of the delivery story—from scoping and UX to data pipelines, integrations, and ongoing operations.
Fellow ingests calls from calendars and conferencing tools, records audio, and attaches the resulting timeline back to the workspace where teams already collaborate. We mapped the full meeting lifecycle—from scheduling to follow-up—so automation happens in the background while people stay focused on the discussion.
The pipeline breaks meetings into segments, runs high-accuracy transcription, and then applies layered summarisation: quick bullets for inbox scanning plus deeper narrative summaries when teams need more context. We tuned prompts to surface decisions and action items, not just generic text dumps.
Action items sync into task systems and CRMs, and recordings link back into existing knowledge bases. We implemented secure webhooks and granular configuration so different departments can opt into the level of automation that fits their processes.
Single sign-on, role-based permissions, and admin audit views let larger organisations adopt AI assistance without losing control. Data retention, redaction options, and strong isolation between tenants are built into the underlying architecture, not bolted on later.