White Paper: Zero-maintenance AI, the new standard for the customer experience workspace
A step-by-step guide that shows you how to navigate build vs. buy, get IT on board, and launch Agentic AI that transforms your team in one quarter.
Customer Success Team Approved
Once QueryPal is implemented, Customer Success teams can’t imagine life without it.
"Achieving a 90% upvote rate from our own agents, normally averse to AI, is the ultimate seal of approval”
White Paper: Zero-maintenance AI, the new standard for the customer experience workspace
AI in CX hasn't lived up to its promises. Instead of saving time, it created a hidden 15-20 hour weekly maintenance tax.
This guide introduces Zero-Maintenance AI - an architectural shift where your AI actually maintains itself, eliminating bot babysitting and reducing costs by 68%.
What you'll find inside the Zero-Maintenance AI Guide:
- Why traditional AI tools create a hidden "maintenance tax" of 15-20 hours per week that turns automation into another full-time salary.
- The four critical areas where AI maintenance costs show up: data scientist burden, brittle rules engines, content sync nightmares, and integration overhead.
- How Zero-Maintenance AI delivers autonomous learning, real-time sync, intent-based understanding, and effortless management without human training cycles.
- QueryPal's three core components that eliminate maintenance: Prism for automated insights, Intercept for no-rules routing, and Concierge for zero-training support.
- A detailed TCO analysis showing how Zero-Maintenance reduces annual AI costs from $250k to $80k while improving performance.
- Why your team should focus on strategy and outcomes instead of babysitting bots and rewriting rules.
- How Automatic Knowledge Sync keeps your AI current in real-time - when your refund policy changes at 9:05, QueryPal knows it by 9:06.
Stop babysitting your AI and start scaling your CX
We'll show you how QueryPal connects to your existing workspace instantly, learns from your content without training cycles, & starts delivering accurate results without writing a single rule. Set it up once and let it run.
