Swiftask integrates Mboum's market data to power your comparative analyses. Get precise financial insights without spending hours on spreadsheets.
Result:
Accelerate your financial decision-making with automated, relevant comparative reports.
AI Agents
mboum
Connector mboum · Secure OAuth 2.0
Comparing financial assets requires juggling between data sources, spreadsheets, and constant updates. Analysts waste valuable time structuring data instead of interpreting it.
Main negative impacts:
Fragmented data
Information comes from disparate sources, making comparison difficult and prone to entry errors.
Time-consuming processes
Collecting and normalizing manual financial data consumes a large part of analysts' days.
Delayed decision-making
The time required to prepare a comparative analysis reduces reactivity to market opportunities.
Swiftask connects your AI agents to the power of Mboum to automate the collection, normalization, and comparison of your financial assets, giving you actionable insights in seconds.
BEFORE / AFTER
The traditional approach
An analyst must manually extract financial ratios of several assets, copy them into Excel, format columns, and calculate variances. This task is repeated weekly, limiting the number of assets analyzed.
The Swiftask + Mboum method
You submit a list of assets to your Swiftask agent. It automatically queries Mboum, retrieves key metrics, performs the comparison based on your criteria, and generates an instant analytical summary.
1
STEP 1 : Defining criteria
Configure in Swiftask the financial indicators you want to compare (e.g., P/E ratio, yield, volatility).
2
STEP 2 : Mboum connection
Integrate the Mboum connector into your agent to access reliable market data in real time.
3
STEP 3 : Workflow automation
Define the execution frequency or trigger so the agent updates your comparisons automatically.
4
STEP 4 : Generating insights
Receive your comparative analysis reports directly in your workspace, ready to be used for your decisions.
The agent processes Mboum data to normalize formats, calculate variances, and identify key trends between selected assets.
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.
Eliminate data entry and formatting tasks to focus on value analysis.
Reduce human errors related to manual financial data handling.
Compare an unlimited number of assets as soon as new market data is available.
Ensure every comparative analysis follows the exact same methodological criteria.
Make decisions based on up-to-date financial data, intelligently leveraged by AI.
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
| Metric | Before | After |
|---|---|---|
| Preparation time | Several hours | A few minutes |
| Volume of assets analyzed | Limited by human time | Scalable by AI |
| Data reliability | Risk of input error | Verified data via Mboum |
Accelerate your financial decision-making with automated, relevant comparative reports.