We regularly meet teams that bought Provar or Playwright licenses, ran a pilot, and then stalled — coverage stuck at 20-30% of what the tool is capable of, a year or more after purchase. The tool isn't usually the problem.
1. Authoring Capacity Was Never Budgeted
Buying the license is easy. Budgeting the hours to actually author hundreds of test cases against a live, changing Salesforce org is the part that gets deprioritized every sprint. This is exactly the gap AI test generation is built to close — it compresses the authoring bottleneck that stalls most rollouts.
2. No Clear Suite Ownership
When "automation" is a side project for someone's day job rather than an owned responsibility, coverage plateaus the moment that person gets pulled onto something else. Fix: name an owner, even if it's an external team, with a clear mandate to grow and maintain coverage.
3. The Pilot Suite Was Never Restructured for Scale
A suite built by one person as a proof of concept often doesn't hold up once ten more people add tests to it — it becomes slow, tangled, and hard to extend, so people stop adding to it. Fix: restructure early for parallel execution and clear organization, before the sprawl makes restructuring painful.
What Getting ROI Actually Looks Like
Clients who get real ROI from Provar or Playwright typically hit three markers: regression time dropping 20–50% from a restructured suite, an owner who can confidently extend coverage without external help, and — increasingly — an AI generation layer that keeps pace with new Salesforce flows instead of falling behind them release after release.