This is a really useful breakdown because it highlights something that often gets lost in the “agentic AI will replace support teams” conversation: capability and accessibility are two very different things. Ada’s reasoning engine and Playbooks sound genuinely powerful for complex, highly controlled workflows, especially in enterprise environments. But implementation effort and pricing can become just as important as the AI itself. For smaller and mid sized SaaS teams, the question isn’t simply “How advanced is the AI?” It’s “Can we deploy it quickly, integrate it deeply, and predict what it will cost as usage grows?” That’s where more flexible AI support platforms become interesting. The best solution isn’t necessarily the one with the most impressive enterprise feature list it’s the one that delivers measurable automation without creating another massive infrastructure project. The shift toward AI agents is real, but ROI, deployment speed, integrations, and pricing transparency will ultimately determine which platforms actually win.