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Automatically generate summaries from your Otter.ai transcripts

Swiftask processes your Otter.ai transcripts to create structured meeting minutes: key points, decisions, and action items.

Result:

Save hours every week. Never miss important information after your calls again.

Raw transcripts are often ignored documents

Automatic transcription is useful, but not actionable. After a meeting, you are left with pages of raw text that no team member has time to read or synthesize.

Main negative impacts:

  • Time wasted on review: Manually scanning through long transcripts to extract decisions is inefficient and draining.
  • Missed action items: Without a clear summary, tasks assigned during the meeting are often forgotten or misinterpreted.
  • Information silos: Valuable insights remain trapped in isolated text files instead of being shared.

Swiftask automates the analysis of your OtterText files. Our AI agents extract key highlights and format the results according to your business needs.

BEFORE / AFTER

What changes with Swiftask

Without Swiftask

You receive a full one-hour meeting transcript. You spend 20 minutes reading it, noting key points on a pad, and typing a recap email to the team.

With Swiftask + OtterText

As soon as the recording ends, the Swiftask agent retrieves the transcript, generates a structured summary, identifies action items, and sends them to your project management tool.

Automate your meeting summaries in 4 steps

STEP 1 : Connect Otter.ai to Swiftask

Link your Otter.ai account to Swiftask to enable automatic retrieval of new transcripts.

STEP 2 : Define your summary template

Configure the desired structure for your summaries (e.g., executive summary, action list, decisions).

STEP 3 : Choose the destination channel

Indicate where the summary should be sent: email, Slack, Teams, or your CRM.

STEP 4 : Activate processing

The agent processes every new transcript in real-time, requiring no further action from you.

Advanced analysis capabilities

The agent identifies speakers, recurring themes, and commitments made by each participant.

  • Target connector: The agent performs the right actions in ottertext based on event context.
  • Automated actions: Structured summary generation, automatic 'To-Do' extraction, sentiment analysis, multilingual translation, and third-party tool integration.
  • Native governance: You maintain full control over the summary rules used by the agent.

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

Each Swiftask agent uses a dedicated identity (e.g. agent-ottertext@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 your meeting synthesis

1. Focus on the essentials

Access key points immediately without reading the full transcript.

2. Team alignment

Everyone receives the same synthesized version of decisions made.

3. Increased productivity

Eliminate manual drafting tasks after every meeting.

4. Traceability

Every summary is archived and linked to the source meeting.

5. Scalability

Manage dozens of meetings a day without extra effort.

Privacy and security

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

  • Encrypted data: Your transcripts are processed in a secure, GDPR-compliant environment.
  • Governance: You control who has access to the generated summaries.
  • Compliance: Integration follows your tools' authentication protocols.
  • Neutrality: Your data is not used to train public models.

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

RESULTS

Measurable efficiency gains

MetricBeforeAfter
Drafting time20-30 minutes per meeting0 minutes (automated)
Sharing delaySeveral hoursInstant
Action item drop rateHighNear zero

Take action with ottertext

Save hours every week. Never miss important information after your calls again.

Extract tasks from Otter.ai meetings automatically

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