Data-Heavy Workflows Shouldn't Take This Long

Teams across finance, operations, and product lose weeks to manual Excel workflows and fragmented data-not because teams aren't capable, but because the infrastructure wasn't built for today's operational velocity.

Current Reality for Data-Heavy Teams

2-3 weeks

Spent on manual regulatory submissions

3-5 days

For each credit portfolio analysis cycle

10-15 days

Per treasury stress testing cycle

The Core Problem

Teams across finance, operations, and product face operational inefficiency with cyclical data-heavy workflows.

Manual, Cyclical Workflows

•Compliance reporting: 2-3 weeks of manual data collation from multiple systems

•Planning & forecasting: 3-5 days per monthly cycle

•Operations dashboards: 30-60 minutes per update gathering data

•Scenario modeling: 10-15 days per analysis cycle

The Excel Dilemma

Analysts are Excel power users-it's excellent for data analysis. But as complexity grows and teams need to collaborate, Excel breaks:

✗No version control for logic or formulas

✗Cannot track changes or maintain audit trails (required for Fed/OCC exams)

✗Collaboration becomes chaotic across risk verticals

✗"Final_v3_FINAL_updated.xlsx" fails regulatory lineage requirements

The Result?

Reactive decision-making. Delayed insights. Massive operational inefficiency. Teams become data collectors instead of strategic thinkers. By the time analysis is complete, conditions have changed.

We're Building the Solution

An AI-powered workflow automation platform for data-intensive operations-finance, ops, product, anywhere cyclical Excel-based processes create bottlenecks. Built with deep expertise in AI, cryptography, and secure infrastructure from Microsoft, Skyflow, and Fujitsu Research.