Swiftask integrates with Mboum to automatically track, transcribe, and analyze your earnings calls. Get strategic summaries instantly.
Result:
Never miss a financial signal again. Turn hours of listening into data-driven decisions.
Manual earnings call analysis is a time sink
Keeping up with earnings calls is extremely time-consuming. Listening to hours of recordings, taking notes, and comparing figures... These manual tasks slow down your strategic monitoring and increase human error.
Main negative impacts:
With Swiftask and Mboum, automate the collection and analysis of your earnings calls. Your AI agent extracts relevant data and generates ready-to-use summaries as soon as the call ends.
BEFORE / AFTER
What changes with Swiftask
Traditional Method
An analyst spends the day monitoring announcements, listening to recordings, manually noting KPIs, and writing summaries. Data is often obsolete by the time it's shared.
The Swiftask + Mboum approach
The AI agent detects data availability on Mboum, extracts key points, compares with market expectations, and sends a structured report to your communication tool.
Automate your financial monitoring in 4 steps
STEP 1 : Enable the Mboum connector
In Swiftask, configure the Mboum connector to access data for the companies you track.
STEP 2 : Define your analysis criteria
Configure the AI agent to focus on financial metrics specific to your investment strategy.
STEP 3 : Automate report generation
Set the agent to automatically synthesize earnings calls upon publication.
STEP 4 : Receive your insights
Get summaries directly in your work channel or via email, ready for analysis.
Capabilities of your AI financial assistant
The agent examines revenue, margins, growth forecasts, and management sentiment during Q&A sessions.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-mboum@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 choose financial automation
1. 24/7 monitoring
Your agent monitors Mboum publications continuously, even outside office hours.
2. Data accuracy
Eliminate manual transcription errors with automated data extraction.
3. Operational time savings
Reduce analysis time from hours to minutes per report.
4. Better reactivity
Make investment decisions based on real-time extracted facts.
5. Centralized history
Maintain a structured knowledge base of all analyzed calls.
Financial data governance
Swiftask applies enterprise-grade security standards for your mboum automations.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Performance of your financial workflow
| Metric | Before | After |
|---|---|---|
| Processing time per report | 2-4 hours (manual) | Under 5 minutes (AI) |
| Announcement coverage | Limited to priorities | 100% of tracked companies |
| Extraction accuracy | Variable (human error) | Standardized and verifiable |
Take action with mboum
Never miss a financial signal again. Turn hours of listening into data-driven decisions.