Answers for contact center and CX leaders.
Direct responses to the questions VP Contact Centers, CX directors and platform teams ask — each backed by first-party benchmarks and reviewed 2026-08-31.
13 answers
What does contact center AI cost?
Contact center AI cost has three parts: the build for each automated intent, per-interaction platform and model charges once live, and the run state that keeps containment from decaying. Judge it on cost per contact rather than licence price, because a contained interaction is dramatically cheaper than a handled one and that delta is where the business case lives.
How do you measure contact center AI ROI?
Measure contact center AI ROI against a pre-pilot baseline on four numbers: containment on the automated intents, handle-time change on assisted contacts, escalation quality, and blended cost per contact. Capture the baseline by intent before launch — without it, savings cannot be attributed and finance will discount the business case entirely.
Agent assist or virtual agent — which should you deploy first?
Deploy agent assist first when your intent mix is complex or your content is uneven: it lowers handle time and improves consistency without customer-facing risk. Deploy a virtual agent first when a few high-volume transactional intents dominate, because containment removes those contacts entirely. Most mature estates run both, on the same knowledge and the same evaluation harness.
What containment rate should we expect from conversational AI?
Containment targets should be set per intent, not per programme. Simple transactional intents such as balance, hours, status and appointments can sustain high containment; complex informational intents land far lower; anything requiring discretion or empathy should escalate immediately. A blended target set without that split is the most common cause of a missed business case.
How do you migrate an IVR to conversational AI?
Migrate in stages rather than replacing the IVR wholesale. Baseline call reasons and containment, fix the prerequisites — authentication, back-end APIs, routing data — then cut over the highest-volume intents behind a fallback to the existing flow, and tune weekly on real transcripts. Skipping the prerequisite work is what costs containment in the first six months.
How do you choose a CCaaS platform?
Choose a CCaaS platform on four things: the intent mix you must automate, the integration surface into your CRM and core systems, the maturity of the AI and orchestration layer you will actually use, and total cost across licences, telephony and build. Feature-grid comparisons rarely predict outcomes; a scripted proof on your own two hardest intents does.
How much does voice AI cost per minute?
Voice AI cost per minute is the sum of telephony, speech recognition, model inference and speech synthesis, plus the platform charge for the interaction. Comparing those components to each other is unhelpful; compare the fully loaded cost of a contained call to the loaded cost of a handled call, which is where the published savings range comes from.
What does a VP Contact Center need to prove before scaling AI?
A VP Contact Center must prove three things before scaling: containment holds on automated intents without rising repeat contacts, agent assist reduces handle time while CSAT stays flat or improves, and blended cost per contact drops against the pre-pilot baseline. Scale without those proof points risks a business case that finance will not fund and agents will not trust.
When is Amazon Connect the right contact center platform?
Amazon Connect is the right choice when an enterprise is already standardized on AWS, wants consumption-based pricing, and has engineering capacity to build flows, integrations and analytics. It fits teams that value deep customization and direct access to Lex, Bedrock and Connect Cases. Organizations wanting configuration-first administration and packaged WFM usually shortlist Genesys Cloud or NICE CXone alongside it.
Genesys Cloud vs Amazon Connect: how do you choose?
Choose Genesys Cloud when you want a packaged CCaaS with built-in WFM, quality management and configuration-first administration. Choose Amazon Connect when you are AWS-standardized, prefer consumption pricing and have engineering capacity to build custom flows and analytics. The decision is rarely about features; it is about operating model, total cost and how fast your team can support the platform after go-live.
When does Kore.ai fit an enterprise contact center roadmap?
Kore.ai fits when an enterprise wants a packaged conversational AI layer that runs across multiple CCaaS platforms and digital channels without assembling speech, NLU and orchestration components. It is a strong shortlist candidate for large estates that need channel consistency, pre-built industry models and the option to keep the existing telephony platform. Deep customisation beyond the product surface usually still requires partner engineering.
What is conversational AI vs chatbot vs virtual agent?
A chatbot is a rule-based interface that follows scripted paths. Conversational AI is the underlying technology — natural language understanding, generation and dialogue management — that can power a chatbot, a voice bot or an agent-assist panel. A virtual agent is the role: an automated system that resolves customer contacts end to end in a channel. The same conversational AI can be a simple chatbot in one place and a virtual agent in another.
Will AI replace contact center agents?
AI will replace tasks, not agents. The work that disappears first is repetitive information lookup, form-filling and routine transactional handling. The agent role shifts toward exceptions, complex cases, coaching, quality assurance and the empathy that automation cannot deliver. Enterprises that manage the transition well retrain agents and improve CSAT; those that do not simply cut headcount and watch service quality fall.