NiCE AI Agents forProactive Engagement

Stop waiting for customers to call. Al Agents for Proactive Engagement predict customer needs, design personalized engagement strategies, and take action — autonomously, across every channel.

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Business Transformation, Not Just Automation

Our Al Agents don't just automate existing processes. They turn customer signals into revenue and savings across the entire organization - proactively.

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Real Enterprise Results, At Scale

$75M+ New yearly revenue unlocked
45% Reduction in missed appointments
4% Increase in customer retention

Al That Closes the Loop - Before it Opens

NiCE Al Agents for Proactive Engagement don't wait for customers to reach out. Combining enterprise-grade conversational Al with a proactive orchestration layer, they analyze real-time signals to predict what customers need - and act before the moment of friction ever arrives.

Conversation Layer
Intelligent Context
Adaptive Journeys
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Conversational Al Foundation

Industry-leading conversational layer - handling customer interactions with intelligent, natural conversations across voice and digital channels.

 

Identify & Satisfy Customer Needs
Before They Even Realize Them

A continuous loop of intelligence, planning, and autonomous action — orchestrated across multiple Al agents working together.

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Detect & Contextualize

The proactive engine monitors real-time data signals — network alerts, CRM updates, billing events — and gathers full customer context from multiple systems.

Plan Engagement Strategy

Based on the customer's profile, preferences, risk level, and history, the proactive engine designs a personalized engagement plan: when to reach out, which channel, what tone, and what action to take.

Engage Proactively

Al Agents then reach out on the customer's preferred channel — SMS, voice, email, or in-app — with natural, personalized conversations. If the customer doesn't respond, the strategy adapts automatically.

Resolve & Optimize

From scheduling appointments and resetting routers, to offering upsells and confirming fixes, the proactive engine drives every interaction to a measurable outcome.

See Proactive AI in Action

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Detect & Resolve Remotely

20 days before customer contract expiry — Network Al Agent 

The proactive engine detects underperforming broadband. A Network Al Agent reaches out via WhatsApp and initiates a remote router reset.

Channel: WhatsApp

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Schedule Engineer Appointment

14 days before contract expiry - Customer Help AI Agent

Remote fix unsuccessful. A Customer Help AI Agent schedules an engineer visit, finding available slots and confirming with Sarah

Channel: In app/Email

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Offer Earlier Appointment

10 days before contract expiry - Capacity Optimization AI Agent

An earlier slot becomes available. A Capacity Optimization AI Agent calls Sarah to offer the earlier appointment, maximizing schedule efficiency.

Channel: Phone

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Brief the Engineer

3 days before appointment — Appointment Management Al Agent 

The Appointment Management Al Agent contacts engineer Dave with the repair details, address, and required equipment ahead of the visit.

Channel: SMS

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Post-Visit Upsell

Day after appointment — Sales Al Agent

After the repair, a Sales Al Agent reaches out to Sarah with a personalised WiFi Booster offer — contextual, timely, and relevant.

Channel: SMS

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Transforming Engagement Across Industries

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Telecom

Fault Resolution + Upsell

AI Agents detect a customer's slow broadband speed, proactively initiate a remote router reset, schedule an engineer visit if needed, optimize appointment capacity, and follow up with a relevant upsell — all without the customer ever needing to call in.

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Healthcare

Prescription and Appointment Management

AI Agents identify customers nearing the end of their prescriptions and engage them to renew and schedule appointments as needed. They also send reminders, optimize scheduling, and keep medical professionals informed to ensure smooth appointments and accurate medication delivery.

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Financial Services

Loan Conversion

When an individual has started but not finished a loan application, AI Agents reach out across channels to guide them through the process, answer questions in real-time, and drive conversion to completion.

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Higher Education

Application & Enrollment

AI Agents identify prospective students who have expressed interest in a university, engage them across channels to drive applications, and then guide them through every step to full enrollment — pairing them with a coach to ensure no student falls through the cracks

What Makes It Different

Contextual Awareness & Decisioning

Draws on customer data and conversation history to intelligently decide when, where, what and how to communicate.

Multi-Actor Support

Engages multiple participants within a single journey, for example, coordinating between a customer and an engineer, ensuring every actor is informed and aligned.

Adaptive Target Prioritization

Manages multiple contact targets to select the optimal channel — dynamically re-prioritising based on availability, response history, and real-time engagement to maximize outcomes.

Long-Running Journeys

Manages complex customer journeys that span days, weeks, or even months — maintaining context, adapting strategy, and orchestrating touchpoints across the entire lifecycle.

Protected Contact

Controls avoid frequent data feed issues causing communication errors — safeguarding customer experience by validating data integrity before any outreach is triggered.

Adaptive Strategy Engine

 If a customer doesn't respond, the strategy adapts in real-time: changing channels, adjusting timing, modifying tone. 

Named a Leader in the Forrester Wave™ 2026

Conversational AI Platforms for Customer Service

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Ranked highest in the Strategy category. Above-average customer feedback among evaluated vendors.

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Ready to Move from Reactive to Proactive?

Transform your customer engagement strategy, unlock new revenue, and reduce costs with intelligent outreach.