Financial Data Aggregation Automation
Let your AI agent handle data pulls, valuation models, and formatted reports—so you spend less time in Excel and more time on actual analysis.
You’re stuck copying numbers from Bloomberg into Excel, double-checking calculations, and formatting PowerPoint decks before every deadline. As a financial analyst, you waste hours each week on tedious data prep and reporting, leaving little time for real research and strategic thinking.
An AI agent that automates data gathering, valuation modeling, and report creation for financial analysts using Excel, Bloomberg, and Google Sheets.
What this replaces
The hidden cost
What this is really costing you
In accounting and investment research, financial analysts often spend 2.5–3 hours every week manually pulling data from Bloomberg and Google Sheets, updating Excel valuation models, and formatting reports for stakeholders. These repetitive tasks increase the risk of errors and eat into the time needed for deeper analysis. The manual process slows down responses to urgent requests and makes it hard to keep up with fast-moving markets.
Time wasted
3 hrs/week
Every week, burned on work an AI agent handles in minutes.
Money lost
$7,800/year
In salary, missed revenue, and operational drag — annually.
If you keep ignoring it
Delays in delivering accurate valuations can cause missed investment opportunities, compliance issues with audit trails, and loss of credibility with portfolio managers and CFOs.
Cost estimates derived from U.S. Bureau of Labor Statistics occupational wage data and O*NET task analysis.
Return on investment
The math speaks for itself
Today — without agent
3 hrs/week
of manual work
With your AI agent
30 min/week
agent-handled
You save
$6,500/year
every year, reinvested into growing your business
Estimates based on U.S. Bureau of Labor Statistics median salary data and O*NET task importance ratings from worker surveys. Time savings assume 80% automation of eligible task components.
Jobs your agent handles
What this agent does for you
Complete jobs, handled end-to-end — so your team focuses on what matters.
Urgent Valuation Request
You ask your agent to generate a valuation summary for a specific asset or company, using the latest available data.
Comparative Analysis
You ask your agent to compare multiple investment scenarios and highlight key differences.
Data Cleanup
You ask your agent to aggregate and clean raw financial data for a research project.
Custom Report Creation
You ask your agent to prepare a formatted report for a trader’s morning briefing.
How to hire your agent
Connect your tools
Link your financial databases, data analysis platforms, and reporting tools.
Tell your agent what you need
Type: 'Aggregate the last 12 months of trading data and run a valuation analysis for XYZ Corp.'
Agent gets it done
The agent delivers a clean, error-checked valuation report ready for your team.
You doing it vs. your agent doing it
Agent skill set
What this agent knows how to do
Automated Data Collection
Pulls real-time financial data from Bloomberg and Google Sheets, consolidating it into a single Excel workbook for analysis.
Valuation Model Execution
Runs custom DCF or comparable company models using the latest inputs, and outputs updated valuations in seconds.
Scenario Comparison
Generates multiple investment scenarios based on user parameters, highlighting key differences in expected returns.
Report Drafting
Creates formatted PowerPoint and PDF reports with charts and tables ready for stakeholder review.
Error Detection
Scans Excel models and aggregated data for inconsistencies or calculation mistakes before finalizing outputs.
AI Agent FAQ
Yes, the agent pulls data directly from Bloomberg Terminal via API and syncs with Google Sheets using secure OAuth connections. You can specify which sources to prioritize for each project.
All data is encrypted in transit using TLS 1.3, and the agent never stores sensitive information after processing. Access is limited to authorized users within your organization.
Absolutely. You can upload your own Excel templates or specify custom formulas, and the agent will run calculations using your preferred structure. Advanced models like DCF, LBO, and comparables are supported.
The agent works best with structured financial data in English. It currently does not support multi-language datasets, but support for additional languages is planned.
Instead of spending hours copying and reconciling numbers from Bloomberg and Excel, the agent automates these steps, reducing weekly effort to about 30 minutes while minimizing errors.
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