Legacy software was designed for an era of static requirements, on‑prem servers, periodic releases, and human operators stitching together insights and actions. AI‑powered SaaS flips this model. It runs as a governed system of action: retrieve verified facts from enterprise systems, reason with calibrated models, simulate business and risk impacts, and execute only typed, policy‑checked … Read more
Executive summary SaaS and AI are converging into governed “systems of action” that don’t just inform people—they safely execute business steps end to end. For enterprises, this means three big shifts: technology stacks centered on an ACL‑aware knowledge layer and typed, policy‑checked actions; operating models that measure outcomes per unit cost (not vanity usage); and … Read more
Executive insight AI is pushing SaaS pricing away from static tiers toward outcome-linked, usage-aware, and risk‑governed models. Expect a mix of metered AI features, action/outcome pricing, and hybrid seats—wrapped in cost governance and policy controls to keep margins predictable as AI usage scales. Cloud and AI cost curves, plus buyer expectations for transparency and privacy, … Read more