Escaping Pilot Purgatory: A Use Case Road Map for Winning the AI ROI Battle
Nearly 75% of organizations now run generative AI in production somewhere in the business. So the hard question is no longer whether to adopt AI. It’s which use case to start with, how to measure it, and how to prove enough value to win budget before a competing project does.
In this IDC Analyst Brief, discover IDC’s Conversational AI Use Case Road Map Framework: four pillars for choosing, sequencing, and expanding AI use cases so a pilot becomes a fundable business case.
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Download your complimentary copy of the brief to get insights including:
- The four pillars of AI use case selection – valuable, feasible, responsible, and expandable – and the questions to ask under each
- The internal blockers that stall pilots most often, from data and tech readiness to outcome ownership, competing budgets, and change management capacity
- What to look for in a technology partner, including why customer service respondents ranked AI guidance and partnership as their most important factor in choosing a conversational AI vendor
Get the framework you need to pick the right first use case, measure it the right way, and build on early value to deliver AI business outcomes, now™.
How Verint helps you move from pilot to production
A road map tells you which use case to start with. Getting it live is where most programs stall. The proof of concept looks great, then guardrails, governance, and workflow integration turn out to be far more effort than anticipated, and the cycle repeats with a new vendor.
The Verint CX Automation Platform is built to get AI solutions into production fast. It deploys on top of the CCaaS, CRM, telephony, and models you already run, so outcomes arrive in days rather than after a 12-month migration. You get finished, production-ready solutions and AI agents backed by 25+ years of contact center domain expertise and trained on your own interaction data.