Supernormal

If your agency runs on back-to-back client calls, Supernormal is built with you specifically in mind. Where most AI notetakers stop at the transcript, Supernormal takes the output of your meetings and turns it into actual deliverables: slides, documents, images, and structured client updates, all generated from what was discussed on the call.

The product has made a notable pivot from simple meeting notes to a broader AI agent platform. You still get the transcript and the summary, but the real pitch is the downstream workflow. A client strategy call becomes a deck. A kickoff meeting becomes a project brief. The idea is that your team spends less time translating notes into work and more time doing the work itself.

The recording approach is a genuine differentiator. Supernormal uses a bot-free desktop app rather than the intrusive meeting bots you see with most competitors. Nothing joins your call as a visible participant, which matters when you're in sensitive client conversations or working with stakeholders who push back on AI recorders. For Google Meet users there's a Chrome extension alternative, and a standard browser-based bot for those who prefer it.

Transcription covers more than 60 languages with automatic dialect detection, which makes it a reasonable fit for internationally distributed agency teams. Summaries are generally described as polished and human-sounding, requiring minimal editing before you'd be comfortable sharing them with a client. Pre-built templates for meeting types like client kickoffs and board reviews help keep output consistent across your team.

On integrations, Supernormal connects with the tools agencies typically run on: HubSpot, Salesforce, Slack, Asana, and Google Drive. The pricing model takes a different approach from most SaaS tools in this category, using a shared credit system rather than per-seat licensing. Teams pool a monthly credit allocation rather than paying for every individual user, which can work out significantly better for larger teams on tighter margins.

The tool holds a 4.4 out of 5 on G2, with positive sentiment around the privacy-first approach and the quality of its output for client-facing work.