← Back to feed
WritingArticle

The Future of SaaS May Be Custom Workflows, Not More Settings Pages

AI may turn vertical SaaS customization into governed mini-workflows.

SourceHacker News discussionnews.ycombinator.com ↗

The Hacker News discussion around Gigacatalyst surfaces a familiar vertical software problem: every customer wants the last 20 percent customized, and settings pages rarely capture real exceptions.

Grey Haven reads AI-generated mini-workflows as a possible future for SaaS customization. The system of record remains central, but the workflow layer above it becomes programmable under governance.

Operators should demand templates, permissions, test data, audit logs, versioning, and admin review before allowing user-generated workflows near production records.

The practical implementation test is whether the idea can survive handoffs, exceptions, and accountability. A useful operator memo should identify the workflow owner, the data source, the approval boundary, and the failure cost before automation expands. That framing keeps the signal grounded in production reality rather than launch rhetoric. It also gives investors and managers a cleaner way to compare vendors: not by fluency alone, but by how much controlled work the system can complete without creating cleanup elsewhere. Procurement teams should ask for sample logs, exception reports, and a named operating metric before a pilot begins. Product teams should document where human judgment remains necessary and how the system returns control when confidence drops, context is missing, or policy conflict appears. This creates a concrete adoption record that can be reviewed after the pilot instead of relying on anecdotal enthusiasm.

Watch for shadow-software sprawl. The opportunity is controlled programmability, not a new generation of fragile scripts that no one can maintain.

Source/provenance: Grey Haven Signal update linear-ASM-106-2, based on Hacker News discussion at https://news.ycombinator.com/item?id=48110593.

Grey Haven
Grey HavenApplied AI Venture Studio