Next-Best-Action Agent Assist

Live in-call coaching, every conversation.

Live agents have 5 seconds to figure out the right next move while the customer is talking. EnableX Next-Best-Action listens in real time and suggests what to do next: the right reply for this objection, the right offer for this customer tier, the right escalation when sentiment turns, the right regulatory disclosure for this scenario. AI coach in the agent’s ear, every call.

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Real-time in-call coaching · voice + chat + WhatsApp · suggestions in real time
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See live agent-assist suggestions, plus the rest of our intelligence stack.

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What sets it apart

Reply suggestions

Customer says X, AI suggests the best reply, scored by likelihood-to-resolve. Agent uses, edits, or ignores. Train on your team’s top performers, so junior agents get senior playbooks live.

Offer suggestions

Customer asks for discount or threatens to leave, AI suggests the right offer based on customer tier, lifetime value, and product. Avoids over-discounting; surfaces retention plays.

Escalation prompts

Sentiment turns negative or fraud signal fires, AI prompts agent to escalate (transfer to manager, offer human handoff, trigger fraud workflow). No missed handoffs.

How it works

AI listens to the customer’s question or objection and suggests the best reply, ranked by likelihood-to-resolve. Trained on your top-performing agents’ actual replies. Junior agents get senior playbooks live.

  • Suggestions in real time
  • Top-3 reply ranking
  • Trained on top performers
  • Agent edits or uses verbatim
  • Improves with feedback

Customer asks for discount, AI calculates the right retention offer based on customer tier, lifetime value, churn risk, current product mix. Avoids over-discounting; surfaces upsell when relevant.

  • Tier + LTV + churn-risk-aware
  • Avoids over-discounting
  • Upsell suggestions when relevant
  • Compliance-checked offers
  • CRM auto-tagged

Disclosure libraries per industry and country: the agent is prompted when a conversation hits a trigger that requires a regulatory disclosure, a calling-time check or a consent statement. Every prompt and the agent's action is logged.

  • Per-country, per-industry disclosure libraries
  • Per-vertical disclosure libraries
  • Audit log of prompts fired + actions
  • Coaching report on compliance gaps
  • On-prem deployment for regulated

Sentiment turns negative, prompt agent to offer human supervisor. Fraud signal fires, prompt agent to trigger fraud workflow. High-value customer, prompt agent to upsell premium support.

  • Sentiment + intent-driven prompts
  • Fraud + churn signal triggers
  • Per-tier escalation rules
  • Auto-route to right next step
  • Audit log + coaching report

Use cases

BFSI · collections

Compliant + effective

Right pitch + calling-window prompt + payment-promise capture.

Voice AI for collections
Insurance

Retention + upsell

Right retention offer at renewal · regulatory disclosure prompts · upsell triggers.

Voice AI for insurance
Healthcare

Triage + booking

Symptom-based triage prompts · right specialist · video escalation if urgent.

Voice AI for healthcare
All verticals

Tier-1 quality lift

Live coaching is designed to help new agents reach the standard of your best performers faster.

AI for customer support
Sales

Objection handling

Real-time objection-handling coaching. Junior reps get senior playbooks live.

Conversation intelligence
EdTech

Counsellor follow-ups

Right pitch per programme · fee-payment prompt · CRM auto-tag.

Voice AI for education

Explore related

Conversation Intelligence

The full intelligence platform.

Conversation
Capability

Sentiment + Intent

The real-time scoring that triggers NBA prompts.

Sentiment
Capability

Conversation Analytics

Where coaching gaps surface in aggregate.

Conversation
Platform

Bot → Human Handoff

The handoff that NBA prompts the agent to take.

Bot

FAQ: Next-Best-Action

Listens to the live conversation in real time and suggests the agent's next move: the right reply, the right offer, the right escalation, the right regulatory disclosure. Suggestions appear in the agent console with confidence scores. Agent uses, edits, or ignores; system learns from feedback.

In real time, while the customer is still speaking or typing. Latency matters because an agent has only a few seconds to act before the conversation pace breaks, so suggestions are streamed as the utterance is understood, in the cloud and on-premise.

Three sources: (1) your top-performing agents' actual replies (trained from call recordings and transcripts), (2) your KB and product docs (RAG-powered for specific queries), (3) your business rules (offer eligibility, regulatory disclosures, escalation thresholds). Combined into a ranked suggestion list.

Yes. Disclosure libraries per industry and country. When a conversation hits a trigger that requires a regulatory disclosure, a calling-time check or a consent statement, AI prompts the agent. Audit log of prompts fired and agent action.

Yes. Voice agents, chat agents (WhatsApp, web, RCS), and email agents all get NBA suggestions. Voice has the tightest latency budget; chat has more time to suggest richer responses.

The platform is plug-and-play; the time goes into tuning suggestion quality on your specific business: top-performer training, rule definition, KB connection. Quality is the work.

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