- Voice AI: Containment, IVR replacement, natural voice
- Agent Assist: Live guidance, NBA, summarization
- Conversational AI: Digital channels, chat, messaging
- Automated QA: 100% coverage, calibrated scoring
- Analytics: Reason codes, drivers, coaching signals
The five workloads worth investing in
Voice AI containment, agent assist, conversational AI for digital channels, automated 100% QA, and conversation analytics. Each has an independent ROI case and can be sequenced without a big-bang cutover.
Platform decision framework
A 4-question decision tree across Amazon Connect, Genesys Cloud CX, NICE CXone, Microsoft Dynamics 365 CCaaS, Five9, Salesforce Agentforce and Google CCAI — filtered by CRM alignment, incumbent contracts, region and regulated-industry constraints. Kore.ai sits above every platform as the shared agentic and conversational layer.
Data and knowledge readiness
Knowledge structure, retrieval evaluation, CRM entitlements, identity resolution. The four preconditions to shipping conversational AI without post-launch regret.
Agent experience that agents want
Assist, next-best-action, live knowledge and coaching designed to reduce cognitive load, not increase it. The single most reliable driver of AHT reduction in our benchmark.
QA, analytics and the coaching loop
100% coverage QA, calibration against human scorers, coaching signals that actually reach supervisors. Where analytics stops being a report and becomes an operating rhythm.
- Five workloads, one AI layer, any CCaaS underneath
- Kore.ai is our default conversational + agentic layer across platforms
- Data readiness is the biggest predictor of go-live success
- Containment lift of 35–55% is achievable on well-scoped intents
Questions leaders ask us
- What is Contact Center AI?
- Contact Center AI is the layer of voice AI, agent assist, conversational AI, automated QA and analytics that sits above your CCaaS platform. Each workload has an independent ROI case and can be sequenced without a big-bang cutover.
- Which CCaaS platform should we choose?
- Use a 4-question filter: CRM alignment, incumbent-vendor economics, regulated-industry constraints, and geographic coverage. Land on a two-vendor shortlist across Amazon Connect, Genesys Cloud CX, NICE CXone, Five9, Salesforce Agentforce, Google CCAI and Microsoft Dynamics 365, then run a scored bake-off.
- What containment lift is realistic from voice AI?
- 35–55% on well-scoped intents in our enterprise benchmark, provided knowledge, retrieval and CRM entitlements are in place before go-live.
- Do we need to replace our CCaaS to get AI value?
- No. The AI overlay is designed to be platform-independent — most of our enterprise clients run one AI layer across two or three CCaaS instances while modernization progresses in parallel.