
Fireflies
Meeting IntelligenceFireflies is an AI meeting recorder and notetaker that captures every customer and internal call, transcribes it, summarises it, and turns the recording into structured data your CRM, Slack, and analytics layer can actually use.
Fireflies sits in on your meetings so your team doesn't have to take notes. It records, transcribes, summarises, and extracts structured data from every call, then pushes that data into the systems your team already lives in: HubSpot, Salesforce, Slack, Notion, Asana. For mid-market teams, it's the difference between knowing what was said and knowing what to do about it.
What Fireflies Does
Fireflies joins Zoom, Google Meet, Microsoft Teams, Webex, and dialler calls as a notetaker bot, records the audio and video, and processes everything in real time. The output is a transcript, an AI summary, action items, soundbites, and a structured set of fields you can route anywhere. It works across 100+ languages with around 95% transcription accuracy.
- Auto-capture across Zoom, Google Meet, Teams, Webex, and dialler tools (Aircall, RingCentral, Dialpad).
- Transcripts with speaker recognition, timestamps, and keyword search across the full meeting library.
- AI summaries with overview, bullet points, action items, and custom note templates per meeting type.
- Soundbites: short shareable clips reps and managers can cut from any recording for win/loss review or coaching.
- Conversation intelligence: talk-time ratios, sentiment, topic trackers, and team-level analytics dashboards.
- AI Apps and Voice Agents: pre-built and custom skills for sales scoring, recruiting screens, marketing calls, and more.
- Enterprise controls: SSO, SCIM, HIPAA, SOC 2, GDPR, custom retention policies, and private storage on higher tiers.
Fireflies AI: Fred, AskFred, and Live Assist
Fireflies' AI layer is anchored on Fred. AskFred lets anyone on the team query the meeting library in plain language: "what objections came up in the Acme deal", "what did the client commit to last month", "summarise every renewal call this quarter". Live Assist gives reps real-time prompts and coaching during the call itself. AI Apps run automatically after each meeting to score calls, extract MEDDIC fields, or generate follow-up emails. For teams that already work inside Claude, Devin, or ChatGPT, the Fireflies MCP integration makes the same meeting data accessible from those workspaces.
Automations We Build with Fireflies
Fireflies on its own gives you a transcript and a summary. The leverage is in the data layer. We build the workflows that turn every recording into routed, actionable signal across your stack.
- Auto-sync structured fields (next steps, budget, timeline, competitors, decision-maker quotes) into HubSpot or Salesforce on the right deal record after every call.
- Pipe meeting summaries into the right Slack channel by topic: pricing pushback to revenue ops, bug mentions to engineering, churn signals to customer success.
- Trigger automated follow-up emails from Gmail or Outlook the moment a call ends, pre-filled with the action items and timeline the prospect committed to.
- Build a tagged Soundbites library for win/loss review, with monthly digests sent to leadership covering objection patterns and competitor mentions.
- Route feature requests and product feedback from topic trackers into Linear or Jira tickets, deduped and linked back to the account.
- Score every demo against an ICP rubric using AI Apps, then auto-prioritise the pipeline in your CRM by AE-fit and probability to close.
- Create a searchable internal knowledge layer where AskFred reads across every leadership and client meeting, so context doesn't walk out when someone leaves.
Why Teams Choose Fireflies
- Works everywhere your team already meets: Zoom, Google Meet, Teams, Webex, and dialler stacks, with no rep behaviour change needed.
- Unlimited transcription on every paid tier, with storage scaling up to unlimited on Business, so you stop having to make decisions about which meetings are worth keeping.
- AskFred is the layer most teams underuse: a CRM, a coach, and an institutional memory rolled into one query interface.
- Compliance-grade controls (HIPAA, SOC 2, GDPR, SSO, SCIM) make it deployable in regulated mid-market and enterprise environments.
- Open API and MCP support mean the meeting layer becomes part of your custom workflows, not a walled garden of recordings.
Fireflies integrates with HubSpot, Salesforce, Slack, Notion, Asana, Trello, Lever, BambooHR, Aircall, and 50+ other tools. Pricing starts free, scales to Pro at $10 per seat per month (annual), Business at $19, and Enterprise at $39, all with unlimited transcription. The recording layer is the easy part. The build we do is everything that happens after the meeting ends: the routing, the field syncs, the dashboards, and the workflows that turn every conversation into pipeline data your team actually acts on.
Use cases
Auto-Logged Sales Calls Into Your CRM
Every call your AEs run gets recorded, transcribed, and the summary, next steps, and key fields land on the right deal in HubSpot or Salesforce automatically. Reps stop typing notes. Managers stop chasing CRM hygiene.
Win/Loss Analysis From Real Conversations
Soundbites and Fred AI surface the exact moments that move deals: pricing pushback, competitor mentions, objections, champion language. We pipe that into a tagged library so leadership can review patterns across closed-won versus closed-lost.
Customer Feedback Routed to Product and Success
Topic trackers flag mentions of bugs, feature requests, and churn signals across the entire meeting library. We route those moments to product (Linear, Jira) and success (Slack, ticketing) so feedback stops dying in call recordings.
Coaching and Rep Onboarding at Scale
Talk-time ratios, sentiment, and AskFred summaries make it possible to coach reps without sitting through every call. New hires ramp by watching the best calls in the library, filtered by deal stage and outcome.
Internal Meeting Memory Across the Org
Every leadership, standup, and client meeting becomes searchable. AskFred answers questions like "what did we decide about Q3 pricing" by reading across the meeting library, so context stops walking out the door when someone leaves.
Industries we automate this for
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