Data as of Oct 14, 2026Based on 189 AI responses
Reviewed by Dimitry Apollonsky
Rank and Mentioned in · since Jul 5
| # | Brand | Recommended for | Mentioned in |
|---|---|---|---|
| 1 | native real-time transcription and live supervisor sentiment alerts | native real-time transcription and live supervisor sentiment alerts | 44% |
| 2 | enterprise interaction analytics and live supervisor alerts | enterprise interaction analytics and live supervisor alerts | 40% |
| 3 | cloud CX conversation transcription and real-time sentiment scoring | cloud CX conversation transcription and real-time sentiment scoring | 35% |
| 4 | dynamic knowledge assist and real-time coaching for agents | dynamic knowledge assist and real-time coaching for agents | 33% |
| 5 | automated knowledge base retrieval during live customer conversations | automated knowledge base retrieval during live customer conversations | 33% |
| 6 | deep conversation analytics and root cause identification | deep conversation analytics and root cause identification | 28% |
| 7 | real-time agent guidance cards and compliance adherence prompts | real-time agent guidance cards and compliance adherence prompts | 28% |
| 8 | enterprise call transcription for compliance and quality assurance | enterprise call transcription for compliance and quality assurance | 25% |
| 9 | live call script prompts and objection handling | live call script prompts and objection handling | 24% |
| 10 | cloud contact center analytics and real-time interaction guidance | cloud contact center analytics and real-time interaction guidance | 24% |
| 11 | 15% | ||
| 12 | 12% | ||
| 13 | 11% | ||
| 14 | 11% | ||
| 15 | 8% |
What’s changing · since July
Since July, Five9rising and Amazon Transcriberising have gained ground, while Avayafalling and Level AIfalling appear less often.
Weeks of Sep 21 – Oct 5, 2026 · Since Jul 5
Widest split: Talkdesk, 20% on ChatGPT Search and 49% on Google AI Mode.
67% of citations point at the ranked brands’ own sites. youtube.com is the most-cited site outside the ranked brands’ own domains.
Market map
Mentioned in · since Jul 5
Leading brands by topic
Google AI ModeOct 13, 2026
Several top-tier customer experience (CX) and AI software providers offer real-time agent assist tools that listen to or transcribe live calls and automatically surface relevant knowledge base articles, FAQs, and next-best-actions.
If you'd like to narrow down the best fit, let me know:
Google AI ModeOct 4, 2026
My support team has a hard time locating information while on the phone. What software provides live knowledge base suggestions to agents during calls?
ChatGPT SearchOct 14, 2026
What platform offers "sentiment analysis" in real-time to alert supervisors when a call is going badly?
What analytics tool helps us understand why customers are calling, rather than just tracking how long they talk?
For your call center, look for real-time agent assist software also called *agent guidance* or *agent-facing knowledge management*. These tools help agents find relevant knowledge base articles, troubleshooting steps, policies, and suggested answers while a customer is still on the call—often using live speech transcription and AI to retrieve information based on the conversation.
The key distinction is that you want in-call knowledge retrieval, not just a chatbot for customers or a knowledge base agents must search manually.
These providers explicitly offer agent-assist capabilities that surface relevant knowledge during live customer interactions.
1. Google Cloud — Contact Center AI Agent Assist
(Strong feature match)
Suggests existing or AI-generated knowledge articles based on the live conversation, with real-time transcription and proactive knowledge suggestions. A good candidate if automatically finding answers is the main requirement.
Best for: conversation-driven knowledge retrieval and AI-generated answers.
2. Genesys — Genesys Cloud Agent Copilot
Automatically surfaces contextually relevant knowledge articles and FAQs based on what the customer and agent are discussing. It also supports live transcripts and agent guidance.
Best for: organizations already using, or considering, Genesys Cloud.
3. NiCE — CXone Agent Assist Hub
Brings knowledge, contextual recommendations, and agent guidance into one workspace. It can integrate native, third-party, and custom assistance tools.
Best for: larger contact centers with multiple knowledge systems and applications.
4. Talkdesk — Talkdesk Copilot
Transcribes conversations in real time, automatically searches for relevant answers, and presents guidance to agents without requiring them to switch between applications.
Best for: teams wanting automated answer retrieval alongside conversational guidance.
5. Amazon Connect — Agent Assist
Detects customer intent during calls and chats, then recommends answers, actions, and links to relevant knowledge sources. It supports natural-language queries across connected knowledge repositories.
Best for: teams building on AWS or looking for configurable, cloud-based contact center capabilities.
6. Zendesk — Real-time AI suggestions for voice calls
Transcribes calls and uses the live transcript to find relevant Help Center articles, policies, and troubleshooting guides. It presents concise AI-generated guidance in the agent's Knowledge panel.
Best for: support teams already maintaining their knowledge base in Zendesk.
7. Five9 — AI Agent Assist
Provides real-time transcription, intelligence, coaching, and timely information to help agents respond to customer needs. Confirm the specific knowledge-article surfacing behavior in a demo.
Best for: teams evaluating a broader cloud contact center and AI assistance platform.
| Your situation | Start with |
|---|---|
| Need automatic article suggestions based on live conversation | Google Cloud, Genesys |
| Need to unify knowledge and agent tools | NiCE |
| Already use a specific support platform | Zendesk, Talkdesk |
| Building on AWS | Amazon Connect |
| Evaluating a broader contact center platform | Five9, , NiCE |
Don't settle for a demonstration where the agent types a keyword into a search box. Ask vendors to demonstrate these five things using your actual call scenarios:
One important buying consideration: Confirm whether the feature is included in the base platform or requires an additional license, AI usage fees, or a separate knowledge product.
The best vendor depends heavily on your existing call center platform. What system do your agents use today?
1. Current call center platform
Genesys
Five9
NiCE CXone
Amazon Connect
Talkdesk
Zendesk
Salesforce
Other / not sure / evaluating
2. Where is your knowledge stored?
One centralized knowledge base
Multiple systems or repositories
Scattered documents and internal systems
3. Approximate number of agents
Under 100
100–500
501–2,000
Over 2,000
[Find the best-fit vendors]
Software that provides live prompts, next-best actions, and knowledge base suggestions during active phone conversations is known as Real-Time Agent Assist or AI Agent Assist software . These platforms listen to live speech via transcription, analyze customer intent, and dynamically surface relevant documentation or coaching tips directly on the agent's screen.[](https://www.dialpad.com/blog/real-time-agent-assist/)[[2](https://agentassist.com/what-is-real-time-agent-assist-how-its-changing-call-centers-in-2026)](https://agentassist.com/what-is-real-time-agent-assist-how-its-changing-call-centers-in-2026/)[[3](https://www.retellai.com/blog/agent-assist-software)](https://www.retellai.com/blog/agent-assist-software)[[4](https://support.ringcentral.com/article-v2/creating-and-managing-ai-knowledge-bases-for-ai-agent-assist.html?brand=RingCentral&product=RingCX&language=en_US)](https://support.ringcentral.com/article-v2/creating-and-managing-ai-knowledge-bases-for-ai-agent-assist.html?brand=RingCentral&product=RingCX&language=en_US)
Top software options providing these real-time capabilities include:
To help narrow down the best platform for your environment, let me know:
ChatGPT SearchOct 4, 2026
Yes. The category you’re looking for is usually called real-time Agent Assist / Agent Copilot. These tools listen to the live call, understand the conversation, and surface relevant answers, scripts, prompts, or next-best actions to the human agent.
| Platform | Live prompts | KB suggestions | Live transcription | Best fit |
|---|---|---|---|---|
| Cresta Agent Assist | ✅ | ✅ | ✅ | Enterprise support teams wanting sophisticated contextual guidance |
Several vendors offer real-time speech analytics for call centers that transcribe conversations while the call is still in progress. Depending on your existing call center software, you can either use analytics built into your platform or integrate a specialist tool through an API.
The key distinction is between real-time transcription (seeing the words as the caller speaks) and post-call analytics (analyzing recordings after the conversation ends). Some platforms offer both, along with live agent guidance, sentiment detection, keyword alerts, and compliance monitoring.
1. Verint — Exact Transcription Bot
A strong candidate if you want to keep your existing call center software. Verint explicitly offers real-time speech-to-text and says its transcription can integrate with existing contact center applications, PBX, CRM tools, and call recorders. Its speech analytics adds compliance, coaching, and customer-insight capabilities.
Website:
2. NiCE — CXone Transcription
Provides continuous-stream transcription during calls, designed to feed agent-assist applications in real time. It also supports third-party transcription services, which may help if you already have a different contact center platform.
Website:
3. CallMiner — Eureka
Specializes in conversation analytics, including transcription, interaction classification, and analysis of customer calls. Worth evaluating if your main goal is understanding what customers and agents say across calls. Confirm that its proposed configuration supports your required live transcription workflow.
Website:
4. Genesys — Genesys Cloud Speech and Text Analytics
Offers speaker-separated transcription and analytics. Its documentation describes low-latency transcription in roughly 3–5 seconds, but availability depends on the product configuration and telephony setup. Best worth considering if you already use Genesys or can integrate with its environment.
Website:
5. Five9 — Interaction Analytics
Provides call transcription, sentiment and emotion analysis, automated quality scoring, and topic identification. Its published feature list emphasizes transcription of recorded calls, so ask specifically whether live, in-call transcription and alerts are available in the package you would buy.
Website:
If you already have call center software and don't want to replace it, I would start with Verint, followed by NiCE. Both explicitly document real-time transcription capabilities and options that can work with existing contact center technology.
When evaluating vendors, ask these four questions:
One question will help me narrow this down considerably: Which call center software are you currently using? If you tell me the platform, I can focus on vendors that are compatible with it rather than giving you a general list.
Google AI ModeOct 5, 2026
Several major contact center platforms and specialized AI vendors offer real-time speech analytics tools that transcribe calls live. Depending on whether you want a native all-in-one CCaaS (Contact Center as a Service) platform or a standalone analytics layer that integrates with your existing software, the top providers include:[](https://www.verint.com/speech-analytics/)[[2](https://www.verint.com/cx-analytics/speech-to-text-transcription)](https://www.verint.com/cx-analytics/speech-to-text-transcription/)
Google AI ModeOct 5, 2026
Real-time speech analytics platforms transcribe and evaluate customer calls as they happen using automatic speech recognition (ASR) and natural language processing (NLP) to give live agent prompts, sentiment scores, and supervisor alerts . [](https://thelevel.ai/blog/real-time-speech-analytics)[[2](https://www.talkdesk.com/blog/speech-analytics-software)](https://www.talkdesk.com/blog/speech-analytics-software/)[[3](https://www.verint.com/glossary/speech-analytics)](https://www.verint.com/glossary/speech-analytics/)
Top options for live, real-time speech transcription and analytics span dedicated enterprise QA suites, developer APIs, and integrated cloud contact centers:
ChatGPT SearchOct 5, 2026
We are looking for tools to integrate with our call center platform that perform real-time audio transcription and analysis. Any suggestions?
| Observe.AI | ✅ | ✅ | ✅ | Support + QA/coaching, especially if you want conversation intelligence too |
| Talkdesk Copilot | ✅ | ✅ | ✅ | Teams already using Talkdesk |
| Amazon Connect Customer / Agent Assist | ✅ | ✅ | ✅ | Teams on Amazon Connect/AWS |
| Genesys Cloud Agent Copilot | ✅ | ✅ | ✅ | Teams using Genesys Cloud |
| Dialpad AI Live Coach | ✅ | ✅ | ✅ | Teams wanting an all-in-one phone/contact-center solution |
| Salesforce Agentforce | ✅ | ✅ | ✅ | Organizations already deeply invested in Salesforce |
My first three to evaluate would be Cresta, Observe.AI, and Talkdesk.
If your phone system is already Amazon Connect, its current AI agent-assistance capabilities are a very close match. It can detect customer intent during calls and give agents real-time generative responses, suggested actions, and links to relevant documents/articles. Its knowledge search can use sources such as Salesforce, ServiceNow, SharePoint, and Zendesk.
What you're describing looks like this:
Customer speaks → speech is transcribed → AI recognizes intent → searches your KB → agent sees something like:
Customer: “I was charged twice for my subscription.”
AI prompt: Possible duplicate-charge issue detected
Suggested response: “I can check that for you…”
Knowledge: Duplicate Payment Refund Policy
Next action: Verify transaction IDs → confirm duplicate → issue refund under Policy 4.2
That's now a fairly mature product category rather than something you'd necessarily need to build yourself.
If you tell me what phone/contact-center system you use (e.g. Zendesk, Salesforce, Genesys, Five9, RingCentral, Amazon Connect, etc.), I can narrow this down to the 2–3 products that integrate best with your existing stack and compare pricing/implementation.
If you can share which call center software you currently use , I can let you know whether these tools offer a native integration or if you would need a third-party connector.
If you can share what CRM or phone system you currently use and whether you prefer a ready-made platform or a developer API , I can help narrow down the best technical fit.
Yes. There are several viable approaches, and the right one depends heavily on whether you want just a live transcript or a full real-time speech-analytics/agent-assist system.
| Approach | Examples | What you get live | Best fit |
|---|---|---|---|
| Speech-to-text API | Deepgram, AssemblyAI, Google Cloud Speech-to-Text, Amazon Transcribe | Transcript, speaker labels, keywords; analytics can be layered on | Building your own system |
| Cloud-native call analytics | Amazon Web Services / Amazon Transcribe Call Analytics | Transcript, sentiment, issue detection, PII detection/redaction, keyword alerts | AWS-centric teams wanting relatively complete building blocks |
| Contact-center intelligence platforms | Observe.AI, CallMiner, Verint, NICE | Transcription + sentiment/intent + compliance + agent coaching + supervisor alerts | Enterprises wanting a packaged solution |
| CCaaS-native analytics | NICE CXone and similar platforms | Live transcription and analytics integrated directly with the contact-center stack | If your calls already run through a major CCaaS |
This is probably the most flexible option if you have engineering resources.
Deepgram is particularly interesting for this use case. Its streaming API supports real-time transcription, diarization, redaction, custom vocabulary, topic/language detection and utterance segmentation. Deepgram says its speech analytics offering can operate on live calls and quotes transcription latency around 300 ms.
AssemblyAI also has a real-time transcription stack with streaming diarization and conversation-intelligence capabilities such as sentiment, topics and entities. Its current streaming offering is explicitly aimed at agent assist and live customer-call applications.
The architecture would look roughly like:
Phone/CCaaS → audio stream → STT API → transcript/events → analytics/LLM → agent UI / supervisor alerts / CRM
The advantage is that you control exactly what happens when someone says things like "cancel my account" or "I want a manager."
This is one of the more complete cloud APIs for the use case.
Amazon's real-time Call Analytics can provide:
It supports HTTP/2 and WebSockets for streaming the audio and results.
A particularly useful capability is that you can define categories such as "customer asks for manager", and receive an event while the call is still happening.
One limitation worth noting: real-time Call Analytics expects two-channel audio, with the agent and customer on separate channels.
Google's Speech-to-Text provides true streaming recognition with interim results, and its current models support speaker diarization and model adaptation. Google also specifically offers a telephony model intended for phone-call audio, which makes it worth testing against contact-center recordings rather than assuming generic STT will perform equally well.
It's more of a building block than a complete speech-analytics product, though—you'd generally add your own sentiment, intent, alerting and LLM layer.
If you don't want to build the analytics layer yourself, these are worth evaluating.
Observe.AI has real-time agent assist that can provide live sentiment, next-best actions, compliance prompts, script guidance and supervisor visibility during active conversations.
CallMiner Eureka combines transcription with sentiment, intent/topic detection, automated QA, agent scoring and real-time guidance.
Verint offers real-time transcription and speech analytics designed specifically for contact centers, including live coaching, compliance alerts and real-time guidance.
NICE CXone has native real-time transcription, while its broader Enlighten AI suite is designed to turn interaction signals into real-time agent guidance.
If I were evaluating this for a customer-call platform, I'd start with four POCs:
The key isn't simply "which transcription engine has the highest accuracy?" For live calls, I'd benchmark end-to-end latency, telephony/8-kHz accuracy, speaker attribution, interruptions/crosstalk, PII redaction, jargon/custom vocabulary, and the reliability of real-time alerts. A transcription service can look excellent on clean audio but perform very differently on actual contact-center audio.
If you tell me what phone/CCaaS system your calls currently run through (e.g. Twilio, Genesys, Five9, Amazon Connect, NICE, etc.) and roughly how many call-hours/month, I can narrow this to the 3 best architectures and give you an estimated cost comparison.
