‍10 Best Real-Time Agent Assist Tools for Customer Support

Customer support teams are under more pressure than ever, and agents can't always have the right answer at the tip of their fingers. AI-backed real-time agent assistants change that by surfacing relevant information, suggesting responses, and coaching agents while conversations are still happening. Here are the ten best real-time agent assist platforms worth your attention in 2026.

How We Selected These Platforms

Getting this list right meant going beyond feature pages and marketing copy. We evaluated each platform across four criteria: how effectively it delivers guidance during live interactions (not just after the call), how well it integrates with existing contact center stacks, the depth of its knowledge surfacing and coaching capabilities, and how clearly its pricing and deployment path are communicated. Only tools with a genuine real-time assist layer made the cut. 

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Now let's explore each platform in detail.

1. Crescendo.ai

What it does: Crescendo.ai offers an enterprise-grade, real-time agent assist feature that boosts support agent productivity, reduces customer wait times, enables smooth escalations, and improves CX instantly. It is an all-in-one customer service platform where AI agents handle support tickets end-to-end and, when needed, seamlessly hand them off to human agents with full context, real-time knowledge surfacing, and live back-and-forth assistance.

Features:

• Seamless escalation: When a conversation escalates from an AI agent to a human, Crescendo.ai automatically generates a complete interaction summary including customer sentiment, prior troubleshooting steps, and any attachments shared, so agents never start from scratch.
• Live AI co-pilot: Throughout the interaction, agents can ask questions to the AI assistant in natural language and get contextually accurate answers pulled directly from your knowledge base and SOPs, with back-and-forth follow-up supported throughout the call.
• Automatic customer verification: Because Crescendo.ai's AI agent has already spoken with the customer before the human joins, CRM data, order history, and billing details are verified and ready before the agent types a single word.
• Live sentiment analysis: The platform tracks the customer's emotional state during the AI-handled portion and flags frustration, churn risk, or urgency to the human agent at the exact moment of handoff, so they walk in knowing what they're dealing with.
• AI-drafted responses: Agents can go from draft to send in seconds, with email and chat responses generated from curated knowledge and brand guidelines, ready for quick review before sending.
• Automated CSAT scoring: CSAT is calculated on 100% of conversations, not just survey responses, with scores broken down by agent, category, and issue type so leaders can act on real data rather than a biased sample.
• CX insights: The platform automatically identifies recurring issues, coaching opportunities, and product friction points across all conversations without requiring anyone to manually review recordings.

Pricing: Agent Assist is free with Crescendo.ai's AI customer support suite. The suite starts from $1.25 per resolution.

2. Balto

What it does: Balto listens to both sides of live calls and pushes dynamic on-screen prompts, compliance checklists, and real-time coaching alerts to agents so they never go off-script or miss a critical moment.

Features:

• Real-time guidance: Surfaces script reminders, objection responses, and next-best-action prompts mid-conversation without requiring agents to search for anything manually.
• Automated QA Copilot: Scores 100% of calls against configurable compliance and quality criteria, replacing random sampling with complete call coverage.
• CRM call summaries: AI-generated summaries are written directly to your CRM after each interaction, cutting after-call work time significantly.
• Manager Alert: Lets supervisors intervene in live calls when a compliance risk or escalation is detected while the customer is still on the line.
• BaltoGPT: Lets managers explore call data and uncover trends using natural language queries rather than building reports manually.
• PCI, HIPAA, and PII scrubbing: Removes sensitive data from transcripts in real time, keeping recordings compliant from the moment they are created.

Pricing: Custom pricing.

3. Cresta

What it does: Cresta delivers AI-powered real-time coaching to contact center agents in under 200 milliseconds, surfacing next-best-action recommendations, knowledge answers, and conversation summaries grounded in the behaviors of top performers.

Features:

• Knowledge Agent: Analyzes live calls and on-screen data simultaneously to surface source-backed answers without requiring agents to manually prompt the system.
• Contextual hints and workflows: Real-time prompts are tailored to each conversation, helping agents at every experience level respond confidently to complex scenarios.
• Instant AI summaries: Fully customizable summaries are generated at the end of each interaction and automatically trigger structured post-call workflows to reduce after-call work.
• Conversation Intelligence: Analyzes 100% of voice and chat interactions to uncover what top-performing agents do differently and standardize those behaviors across the team.
• Digital co-pilot: Reduces manual typing by over 50% for chat and email by drafting responses learned from successful past interactions.
• Enterprise-grade integrations: Works with Genesys, Five9, Amazon Connect, Salesforce, Zendesk, and ServiceNow out of the box.

Pricing: Custom pricing.

4. Level AI

What it does: Level AI is a full-stack contact center AI platform that combines real-time agent assist, AI virtual agents, automated quality assurance, agent coaching, and voice of customer analytics in a single unified system.

Features:

• Real-time Agent Assist: Surfaces relevant knowledge base articles, FAQs, and policy snippets based on live customer intent, pushing the right answer to agents without them needing to search.
• AgentGPT: A generative AI engine purpose-built for contact center environments, trained on support-specific language rather than adapted from a generic model.
• Automated QA: Scores 100% of interactions across voice and digital channels, giving teams a complete and unbiased view of agent performance at scale.
• AI Virtual Agent: Handles inbound queries autonomously and escalates to human agents with full conversation context when a human is genuinely needed.
• Live coaching: Surfaces targeted guidance and corrective hints during active interactions based on what each individual agent needs to improve in the moment.
• Supervisor dashboard: Provides real-time visibility across the entire support floor, including sentiment trends, active escalations, and agent status at a glance.

Pricing: Custom pricing.

5. Observe.AI

What it does: Observe.AI listens to live calls and pushes contextual knowledge cards, compliance alerts, and next-best-action hints to agents in the moment, while also powering automated QA and post-call coaching at scale.

Features:

• Real-time Agent Assist: Monitors live conversations and surfaces relevant information, suggested responses, and workflow prompts without agents needing to pause or switch screens.
• Automated QA: Evaluates 100% of interactions against custom scorecards, replacing manual sampling with complete and consistent coverage across the team.
• Conversation Intelligence: Analyzes sentiment, intent, and topic trends to surface coaching priorities and compliance risks that would otherwise go undetected.
• Real-time compliance monitoring: Flags policy violations and sensitive disclosures as they happen, alerting supervisors before the call ends rather than after the fact.
• AI scorecards: Automatically grade calls against configurable criteria and feed results directly into performance dashboards for managers.
• Flexible integration: Layers onto your existing CCaaS, CRM, and ticketing stack without requiring infrastructure changes.

Pricing: Custom pricing.

6. Google Cloud Agent Assist

What it does: Google Cloud Agent Assist uses Google's AI models to provide contact center agents with real-time smart replies, knowledge article suggestions, and conversation summarization through a flexible, API-first platform built for Google Cloud environments.

Features:

• Smart Reply: Generates suggested responses during live chat and voice interactions based on conversation context, reducing the time agents spend composing replies from scratch.
• Knowledge Assist: Surfaces relevant help articles, FAQs, and documentation in real time as the customer's intent becomes clear during the interaction.
• Conversation summarization: Automatically generates structured summaries at the end of each interaction, reducing after-call work and improving CRM data quality.
• Gemini-powered models: Built on Google's Dialogflow and Gemini models, with ongoing improvements from Google's broader AI research directly benefiting the platform.
• API-first architecture: Integrates with virtually any CCaaS, telephony, or CRM system, making it well-suited for teams building custom contact center workflows on Google Cloud.
• Sentiment analysis: Tracks emotional tone throughout conversations and surfaces signals to help supervisors intervene before interactions go off track.

Pricing:

7. Dialpad AI

What it does: Dialpad AI delivers real-time transcription, live coaching prompts, and sentiment analysis built natively into a unified communications and contact center platform, making AI assist available without a separate tool or additional integration layer.

Features:

• Real-time transcription: Runs on all calls natively, giving agents a live written record they can reference without breaking their focus on the customer.
• Live coaching cards: Surface during calls to help agents respond to objections and handle sensitive topics, with prompts triggered by what is actually being said.
• Sentiment analysis: Detects shifts in customer tone throughout the call and surfaces alerts to supervisors before situations escalate.
• AI Scorecards: Automatically grade calls against configurable criteria, eliminating the need for manual QA review on every interaction.
• Omnichannel support: Spans 20-plus digital channels alongside voice, with agent assist features consistent across all of them.
• Automatic post-call summaries: Generated after every interaction and synced to your CRM, keeping notes consistent and after-call work minimal.

Pricing: Custom pricing.

8. Genesys Agent Assist

What it does: Genesys Agent Assist is embedded within the Genesys Cloud CX platform and provides real-time transcription, next-best-action suggestions, knowledge surfacing, and AI-generated wrap-up summaries as a native capability of the broader contact center suite.

Features:

• Next-best-action guidance: Generative AI suggests what agents should do and say based on live conversation context, reducing decision fatigue and improving resolution consistency.
• Real-time transcription: Converts voice to text with low latency, giving agents a live record they can reference while staying engaged with the customer.
• Editable AI summaries: Agents can review and adjust AI-generated wrap-up notes before saving, improving data accuracy without adding meaningful time to after-call work.
• Sentiment and empathy scoring: Tracks emotional tone and gives supervisors a data-driven way to coach agents on both efficiency and emotional intelligence.
• Knowledge base access: Surfaces relevant articles and policies directly within the agent workspace, eliminating tab switching during live interactions.
• Multilingual support: Makes Genesys Agent Assist a practical option for global contact center operations handling customers in multiple languages.

Pricing: Genesys Cloud CX plans range from $75 to $240 per user per month. Agent Copilot (the agent assist feature) requires additional AI Experience tokens on top of the base plan.

What it does: NICE CXone Agent Assist, powered by the Enlighten AI engine, delivers real-time guidance, compliance monitoring, and next-best-action recommendations as part of the broader CXone enterprise contact center platform.

Features:

• Enlighten AI compliance monitoring: Automatically notifies agents in real time when their conversation approaches a policy boundary, catching risks before a violation occurs.
• Next-best-action guidance: Surfaces context-aware recommendations that help agents navigate complex, multi-step support processes without manually searching knowledge bases.
• Real-time speech analytics: Converts voice to text and analyzes content for intent, emotion, and compliance markers during active conversations, not just in post-call review.
• Automated summaries: Generated in real time to reduce after-call documentation time after every interaction.
• Native workforce optimization: Forecasting, scheduling, and quality management tools are built into the same platform, giving CX leaders a single system for operations and agent assist.
• 250+ integrations: Works natively with Salesforce, ServiceNow, Microsoft Dynamics, and major EHR systems for healthcare and financial services teams.

Pricing: NICE CXone plans range from $110 to $249 per agent per month.

10. Five9 Agent Assist

What it does: Five9 Agent Assist, part of the Five9 Genius AI suite, provides real-time transcription, knowledge surfacing, and workflow automation natively within the Five9 cloud contact center platform, with no third-party integration required.

Features:

• Real-time transcription: Converts both sides of voice conversations to text with low latency, enabling downstream AI features and giving agents a live reference throughout the call.
• Knowledge surfacing: Pushes relevant articles, FAQs, and policy documents to agents based on what the customer is asking, reducing hold time and the risk of outdated answers.
• AI post-call summaries: Capture key interaction details automatically and sync to your CRM, reducing manual after-call work across the team.
• Workflow automation: Triggers follow-up tasks, ticket updates, and escalation actions based on conversation outcomes without requiring agents to manage each step manually.
• Omnichannel coverage: Extends agent assist across chat, email, SMS, and social alongside voice, with context maintained as customers move between channels.
• Native workforce management: Forecasting, scheduling, and real-time adherence tools are available within the same platform as agent assist, reducing the need for additional vendors.

Pricing: Custom pricing.

FAQs

What is real-time agent assist?

Real-time agent assist is AI technology that supports human support agents during live customer interactions. Unlike post-call analytics tools that analyze what happened after a conversation ends, real-time agent assist works during the interaction itself, listening to what is being said and instantly surfacing relevant information, suggested responses, compliance reminders, and coaching prompts. The result is that agents have access to the right answer at the exact moment they need it, without putting customers on hold or switching between systems.

How is real-time agent assist different from a chatbot?

A chatbot interacts directly with customers, either resolving their query autonomously or routing them to a human. Real-time agent assist works behind the scenes, supporting the human agent rather than replacing them. The agent remains in control of the conversation while the AI provides a continuous stream of guidance, knowledge, and suggestions that the agent can act on or choose to ignore. Some platforms, like Crescendo.ai, combine both capabilities in a single system, where the AI handles the initial customer interaction and then assists the human agent when escalation is required.

What features should I look for in a real-time agent assist tool?

The most important features to evaluate are live knowledge surfacing (does the tool push relevant answers without the agent having to search?), response quality and latency (are suggestions accurate and fast enough to be useful mid-conversation?), seamless escalation context (does the tool ensure agents walk into escalated conversations fully briefed?), compliance monitoring (does it flag risks before violations happen?), and post-call automation (does it reduce after-call work through automated summaries and CRM sync?). For teams managing voice, real-time transcription accuracy is foundational to all of the above.

Does real-time agent assist work for both voice and chat?

Most enterprise platforms support both voice and digital channels. Voice-only tools like Balto are purpose-built for phone-based contact centers and typically offer the deepest live call guidance capabilities. Platforms like Cresta, Genesys, NICE CXone, and Crescendo.ai support omnichannel environments including voice, chat, email, and SMS. If your support operation spans multiple channels, confirm that the platform you choose delivers consistent agent assist capabilities across all of them rather than limiting real-time features to voice only.

How long does it take to implement a real-time agent assist platform?

Implementation timelines vary considerably by platform and complexity. Lighter standalone tools can be up and running in a matter of weeks. Full-stack enterprise platforms like NICE CXone, Genesys, or Cresta typically involve implementation projects that run from several weeks to several months, depending on the number of integrations, the size of the team, and how much configuration is needed. Crescendo.ai is designed for fast deployment, with managed onboarding included as part of the service. When evaluating vendors, always ask for a realistic first-year cost that includes implementation and professional services, not just licensing.

Can real-time agent assist tools integrate with my existing CRM and helpdesk?

Yes, and integration depth is one of the most important buying criteria. Most platforms in this category support native integrations with Salesforce, Zendesk, ServiceNow, HubSpot, and major CRMs. CCaaS-native tools like Five9, Genesys, NICE CXone, and Dialpad work within their respective platforms, which simplifies integration but requires you to be on (or move to) their contact center infrastructure. Standalone tools like Balto and Cresta are designed to sit on top of your existing stack via API and telephony integrations, giving you more flexibility if you want to keep your current CCaaS in place.

What kind of ROI can teams expect from real-time agent assist?

The data is consistent: AI-assisted agents resolve issues around 47% faster than those without automation and achieve approximately 25% higher first-contact resolution rates. Average handle time typically drops by 20 to 30% after deployment, and agent ramp time for new hires is commonly reduced by 30 to 50% in the first 90 days. Compliance-focused teams see significant reductions in policy violations when real-time monitoring replaces post-call review. Across industries, AI-powered customer service delivers an average return of $3.50 for every $1 invested, with top-performing organizations reporting returns as high as 8x.

Is real-time agent assist suitable for small businesses or only enterprise teams?

Most of the platforms in this list are built for mid-market to enterprise contact centers, and their pricing reflects that. Tools like Cresta and NICE CXone are largely designed for 100-plus seat operations with dedicated implementation teams. Dialpad offers the most accessible entry point for smaller teams, with AI features included natively in their contact center plans. For teams exploring agent assist for the first time, looking for a tool with transparent pricing, short implementation timelines, and a clear trial or pilot path will reduce the risk of committing to a platform that is more complex than your operation actually needs.

Conclusion

The best real-time agent assist tool for your team comes down to where you are starting from: your existing contact center stack, your team size, and how much of the support journey you want AI to own. Whether you need a full platform that handles both AI-first resolution and human escalation or a focused coaching layer on top of what you already have, there is a solution on this list that fits. Start with your most painful gap, whether that is handle time, compliance risk, or agent ramp time, and work backward from there.

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