The research team spent much of every cycle on repetitive work: pulling datasets, rebuilding Excel models and turning analysis into executive decks.
What we built
An AI analyst platform for an investment and research team that automates financial analysis, Excel-based reporting, dataset review and executive presentation preparation. It streamlines recurring research workflows, reduces report turnaround time and helps the team process larger volumes of data.
The AI layer
AI automates recurring analysis, reporting and presentation preparation.
Analysts direct and review the work, rather than rebuilding it.
How it works
The workflow, step by step.
01Datasets arrive
02Reviewed and structured
03Analysis runs
04Excel model updated
05Executive deck prepared
Architecture
How the pieces connect.
Inputs
Datasets
Financial statements
Market data
The system
Dataset review
Financial analysis
Excel reporting
Presentation prep
Recurring workflows
AI
AI automates recurring analysis
Analysts direct and review the work
People
Analyst
Portfolio manager
Outputs
Excel reports
Executive decks
Research notes
Functional architecture. Integrations and hosting are tailored to each client's environment.
Modules
Everything in one system.
01Dataset review
Incoming data reviewed and structured.
02Financial analysis
Recurring analysis automated.
03Excel reporting
Excel outputs generated from the analysis.
04Presentation prep
Executive decks prepared from the same work.
05Recurring workflows
Research cycles that repeat reliably.
Interface preview
What your team would see.
Analyst · Research workspaceSample data
WorkspaceDatasetsModelsReportsDecks
✦Compare revenue growth and margins across the watchlist, then draft the board summary
Revenue growth · indexed5 companies
OutputsReady
Model.xlsxUpdated✓
Board deck12 slides✓
Research memoSources cited✓
Datasets reviewed38this cycle
Report turnaroundSame dayfrom raw files
SourcesCitedevery figure
Illustrative interface · sample data
Who uses it
Built around real roles.
Analyst
Directs and reviews the analysis.
Portfolio manager
Receives decision-ready outputs.
In practice · illustrative example
Quarterly data lands on Monday. By the afternoon the analysis has rerun, the Excel model is updated and a first draft of the executive deck is ready for the analyst to refine.
Build your version
Start here, extend further.
Capabilities we can build on this foundation for your version of the system.
Excel-based reporting is at its core, so outputs land in the format the team already uses.
Does it replace analysts?
No. It removes repetitive work so analysts spend their time on judgement.
Can you build a version of this for our business?
Yes. Every system starts with a discovery conversation about your workflow, data and goals, and we adapt the design to fit. Most engagements produce a working, testable system within a few weeks to a couple of months, depending on scope.
Can it integrate with the systems we already use?
Integration with existing tools such as ERPs, accounting packages, databases and document stores is scoped during discovery, so the system fits around how you already work.