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Propel Software Highlights Business and Technology Trends for 2027

Business Wire

Reliance on AI to Drive Tasks and Bolster Customer Experience Grows; Success Driven by Strong AI/SaaS Partnerships, Connected Data and Processes

REDWOOD CITY, Calif., October 20, 2026--Propel Software, creator of the first product value management (PVM) platform that transforms how businesses create, market, sell, and service products, provides its annual business and technology predictions for the coming year. Propel CEO Ross Meyercord identifies five key trends for 2027.

AI Shifts From SaaS Killer to SaaS Kingmaker

The SaaSpocalypse narrative will give way to a new reality: AI and SaaS grow stronger together. AI companies will find more value in partnering with established SaaS providers, while SaaS companies will use AI to create sharper, more valuable customer experiences. The gap will widen between platforms with deep, connected capabilities and those with cursory bolt-on features. SaaS providers that move quickly to connect their data, workflows, and AI strategy will be positioned for sustained growth. Those with disconnected data and processes will lose out on the next round of AI-driven growth.

AI Evolves from Human in the Loop to Human in the Audit Trail

As experienced subject matter experts train AI on proven processes, their knowledge will become embedded in the systems teams use every day. Over time, newer employees may not have the same depth of experience to challenge AI recommendations. For established, repeatable work, organizations will increasingly trust AI to make the right call and complete tasks faster without constant human review. These tasks will be flagged as AI generated with detailed audit logs to allow for periodic reviews and audits by humans. Human expertise will remain essential for designing new processes, handling exceptions, and setting the standards AI follows.

Care Continues its Move From Facilities to the Home

Healthcare delivery will continue shifting beyond hospitals and ambulatory surgery centers and into patients' homes. An aging population, combined with advances in wearables, remote monitoring, connected implants, and home diagnostics, will make this model more practical, necessary and cost effective. MedTech companies will need to design products and product experiences for continuous use outside clinical settings. That requires reliable product data, connected teams, and a clear view of every change across the product lifecycle. AI-assisted monitoring of this data is a must as the volume of inbound data will overwhelm human teams.

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