Pricing

Generate automatic meeting summaries using Fireflies

Swiftask analyzes your Fireflies transcripts to create structured reports. Stop spending time on manual note-taking.

Result:

Turn verbal discussions into written decisions and assigned tasks instantly.

Manual meeting minutes drain your productivity

After every meeting, summarizing is often skipped or takes too long. As a result, key points are forgotten, decisions aren't documented, and action items go untracked, creating operational ambiguity.

Main negative impacts:

Loss of critical information: Important decisions made orally are lost without immediate written records.
Post-meeting administrative burden: Spending 30 minutes summarizing an hour of discussion is a waste of your team's time.
Team misalignment: When minutes are unclear or arrive late, team members work on conflicting priorities.

Swiftask pulls your Fireflies data right after the call ends to generate an intelligent summary, extract decisions, and list next steps.

BEFORE / AFTER

What changes with Swiftask

Manual management

You finish a call, listen to parts of the recording or read a raw transcript, then write a summary email. It's slow and prone to forgetting.

Swiftask + Fireflies automation

As soon as Fireflies finishes transcription, Swiftask receives the data, processes it with AI, and publishes a structured summary to your project management tool.

Automate your meeting minutes in 4 steps

STEP 1 : Link your Fireflies account

Connect Swiftask to your Fireflies space via API to enable secure retrieval of transcripts.

STEP 2 : Define your summary template

Configure the desired output format: executive summary, task list, key decisions, or focus points.

STEP 3 : Activate the intelligent trigger

The automation kicks in as soon as Fireflies marks a meeting as completed and transcribed.

STEP 4 : Distribute the results

Automatically send the summary to Slack, Teams, Notion, or your preferred CRM.

Key AI synthesis features

The agent analyzes the tone, technical content, and commitments made by each participant during the discussion.

Target connector: The agent performs the right actions in fireflies based on event context.
Automated actions: Automatic extraction of action items. Summary of decisions made. Sentiment analysis. Markdown formatting for documentation tools.
Native governance: You maintain full control over the structure of the generated reports.

Each action is contextualized and executed automatically at the right time.

Each Swiftask agent uses a dedicated identity (e.g. agent-fireflies@swiftask.ai ). You keep full visibility on every action and every sent message.

Key takeaway: The agent automates repetitive decisions and leaves high-value actions to your teams.

Why automate with Swiftask

1. Massive time savings

Save hours of writing every week across all your meetings.

2. Increased accuracy

AI never misses a detail, unlike rapid human note-taking.

3. Rigorous tracking

Every decision is documented and every task is automatically assigned.

4. Standardization

All your meeting minutes follow the same professional format.

5. Improved reactivity

Your teams receive the notes before they have even left the meeting room.

Privacy and compliance

Swiftask applies enterprise-grade security standards for your fireflies automations.

Data encryption: Your Fireflies transcripts are processed with the strictest security standards.
Data control: You choose which meetings are processed by the AI.
GDPR compliance: We respect your data governance requirements.
Fine-grained access control: Define who can view the generated summaries.

To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.

RESULTS

Impact on your efficiency

Metric	Before	After
Writing time	30-60 min per meeting	0 min (automated)
Missed tasks rate	High	Near zero
Distribution speed	A few hours	Instant

Take action with fireflies

Turn verbal discussions into written decisions and assigned tasks instantly.

Turn Fireflies meetings into actionable tasks, automatically

Next use case