Iqra Ikram@IqraIkram

Customer Success Managers lose 20 minutes after every call re-listening for details, and churn signals — "we're evaluating a competitor," "our sponsor left" — get buried in a 40-minute transcript. AI Customer Success Copilot fixes this with a real pipeline, not a single prompt wrapper: a call recording is transcribed via Speechmatics, then passed to an LLM (AI/ML API / Featherless AI) that extracts a churn-risk score with the exact quote that triggered it, a call summary, key concerns, and commitments made. From that structured data, the app drafts a follow-up email and a task list — nothing sends automatically. The CSM reviews everything on one screen, edits inline, and approves with a single click before it's finalized. Approved calls persist to an account history and a team-wide risk dashboard, so a CS lead can spot which accounts need attention this week — not after the renewal is already lost.

🌎 Online Hackathon | 📅 August 3–10, 2026| 💻 Powered by native.builder The official native.builder hackathon, hosted by NativelyAI and lablab.ai. Join founders, developers, designers, and builders to create real AI-native applications powered by native.builder: from idea to deployed product, fully in the cloud. 💻 This hackathon is fully online. No travel required.