AI & LLMs
Agentic AI
Knowledge AI
Agent Evaluation
AI Ops & Orchestration
Experience Management
AI Agent Studio
Multimodal CX
Voice Connectivity
Proactive Engagement
Insights & Analytics
Agent Augmentation
Live Chat
Agent Copilot
AI & LLMs
Agentic AI
Knowledge AI
Agent Evaluation
AI Ops & Orchestration
Experience Management
AI Agent Studio
Multimodal CX
Voice Connectivity
Proactive Engagement
Insights & Analytics
Agent Augmentation
Live Chat
Agent Copilot
Our Al Agents don't just automate existing processes. They turn customer signals into revenue and savings across the entire organization - proactively.
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.
Industry-leading conversational layer - handling customer interactions with intelligent, natural conversations across voice and digital channels.
Monitors real-time signals to determine when, who, and how to engage, initiating outreach before a customer ever needs to call.
Builds and refines personalized outbound strategies over long-running journeys - continuously evolving with every interaction and data point to stay ahead of what customers need next.
A continuous loop of intelligence, planning, and autonomous action — orchestrated across multiple Al agents working together.
The proactive engine monitors real-time data signals — network alerts, CRM updates, billing events — and gathers full customer context from multiple systems.
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.
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.
From scheduling appointments and resetting routers, to offering upsells and confirming fixes, the proactive engine drives every interaction to a measurable outcome.
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
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
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
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
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
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.
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.
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.
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
Draws on customer data and conversation history to intelligently decide when, where, what and how to communicate.
Engages multiple participants within a single journey, for example, coordinating between a customer and an engineer, ensuring every actor is informed and aligned.
Manages multiple contact targets to select the optimal channel — dynamically re-prioritising based on availability, response history, and real-time engagement to maximize outcomes.
Manages complex customer journeys that span days, weeks, or even months — maintaining context, adapting strategy, and orchestrating touchpoints across the entire lifecycle.
Controls avoid frequent data feed issues causing communication errors — safeguarding customer experience by validating data integrity before any outreach is triggered.
If a customer doesn't respond, the strategy adapts in real-time: changing channels, adjusting timing, modifying tone.
Conversational AI Platforms for Customer Service
Download Report
Ranked highest in the Strategy category. Above-average customer feedback among evaluated vendors.
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Transform your customer engagement strategy, unlock new revenue, and reduce costs with intelligent outreach.