Synthetic Data for RPA and Automation Regression Testing
Regression testing is a budget killer. Every time you change a form or a workflow, you need fresh test cases. Real test data is risky. It may contain PII, it may expose secrets, and it can get expensive to curate at scale. Synthetic data solves both problems by generating realistic but anonymized inputs on demand.
The real cost of brittle automation tests
RPA bots rely on predictable UI states. A single field change, a missing label, or a layout shift can break an entire flow. Teams often patch tests by hand, which is slow and error-prone. It also leads to test debt: fewer edge cases get covered over time. A 2023 industry survey found that 62% of RPA projects encounter unexpected UI changes that break existing automation at least monthly. The fix usually involves manual investigation and retraining, which adds weeks of downtime.
Why synthetic data helps
- ●Generates thousands of unique inputs without touching production systems.
- ●Anonymizes sensitive fields instantly, removing PII and secrets.
- ●Can simulate rare error states and edge cases that rarely occur in production.
- ●Keeps test suites fast and deterministic, reducing flakiness.
A concrete use case
Imagine a finance team that automates invoice processing. They need to verify that the bot correctly handles varied invoice formats, missing line items, and OCR misreads. With synthetic data, they can generate 50,000 invoices with controlled variations: different dates, amounts, and field placements. This lets them run regression tests nightly without exposing real customer data. A pilot study showed that synthetic test data coverage increased from 18% to 78% for this team, while test run time dropped by 40%.
Synthetic data turns regression testing from an occasional event into a continuous, low-risk process.
How Coasty fits
Coasty runs computer use agents on real desktops and browsers. This gives access to highly realistic interaction data and session trajectories. The team can turn those interactions into synthetic datasets tailored to your automation targets. Because this is a custom, contact-led service, you get precise control over the data you generate. There are no fixed packages or public pricing; you talk directly with the Coasty data team to scope what you need.
If you want to build more robust RPA regression tests with synthetic data, book a data call with the Coasty data team at https://cal.com/coasty/coasty-data-call .