Genesys Cloud
Enterprise cloud CX platform with AI
SF Score
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CATEGORY GUIDE
Best AI Call Center Software
Compare AI tools for Cloud Contact Center Platform, UCaaS + CCaaS Platform, Helpdesk With Calling, SMB Cloud Phone & Contact Center, Call Tracking & Attribution, and Sales Conversation Intelligence.
EDITOR'S PICKS
Four editor-selected tools to consider
Hand-picked for category fit, not popularity
NICE CXone
Enterprise CX platform with analytics depth
SF ScoreSF Score editorial score across features, ease, and value. Learn more →
Talkdesk
Modern mid-market contact center platform
SF ScoreSF Score editorial score across features, ease, and value. Learn more →
4 
Five9
Enterprise cloud contact center with AI
SF ScoreSF Score editorial score across features, ease, and value. Learn more →
Showing 1-20 of 66 tools, plus the 4 editor’s picks above
AI workforce management inside NICE CXone
Modern WFM for AI-era support teams
AI agent inside Intercom support
Experience management with contact center analytics
Enterprise AI service across many channels
AI-native contact center for support
AWS contact center with usage pricing
Ecommerce helpdesk with native AI automation
Simple helpdesk AI for support teams
Shared inbox platform with practical AI
Revenue intelligence for sales conversations
AI calling platform for global teams
Enterprise conversation analytics for phone revenue
AI phone platform for sales support
Programmable voice API for custom calling
Call tracking with AI lead insights
SMB calling platform with AI features
Agentic customer service for ecommerce teams
Auto-QA platform for contact centers
Conversation analytics for modern QA teams
Buyer’s guide
Customized and Powerful AI Call Center Software Buyer’s Guide
AI call center software enables sales and customer service to route calls, automate repetitive requests, support agents, summarize calls, and comprehend performance at scale. The appropriate platform would rely on your call volume, customer journey, current systems, security needs, as well as the level of automation your customers require.
- 70 tools analyzed
- SF 7.8–8.8
- 7 min read
Quick answer
Software that routes, automates, transcribes, summarizes, monitors, and analyzes business calls with the help of AI.
Best for
Customer service, sales, collections, booking, help desk, and support teams that interact with customers frequently over the phone for inbound or outbound communications.
Watch out for
Poor summary quality, failure to respond promptly, awkward communications with humans, ineffective CRM integration, fraudulent usage fees, and vague (confusing) management while recording & transcribing.
Top-rated pick
Today's call center AI software enables AI to understand what the caller wants, offer live assistance, develop notes, track quality, and detect common customer problems. Some platforms support other messaging types like email, chat, SMS, and social messaging as well as voice.
Product comparison could be done by availing practical tests in real conversations. Add various accents, ambient sounds, interruptions, jargon, and customers who do not stay on topic. Check out the performance of software and its call transferring capability without a glitch. Analyze whether it reduces agents' workload or generates more corrections.
Everything you need to know about AI call center software
AI call center software combines business communication or call center functions, including speech recognition, natural language processing, machine learning, and generative AI.
Depending on the platform, it can provide:
- Intelligent call routing
- Conversational voice agents
- All of the above; the summary and follow-up action-making process can be automated.
- Real-time transcription
- Live agent assistance
- Integration and induction of staff members
An AI call software product might handle automated answering or outbound calling. A fully developed call center platform includes voice, digital, analytics, business, and workforce management.
Core capabilities
Routes incoming phone calls to the best suited employee based on its intent, language, priority, skills, or availability
Stop making customers answer repetitive questions with IVR or AI Voice Agents before reaching a customer support agent
Summarize, take notes, and develop action items from transcribed calls
Share pertinent information with agents while they are on live calls
Can analyze call reasons, customer sentiments, call quality, and overall team performance
Why it matters
Save time on record updating, recalling notes & recordings, and repetitive after-call activities
AI call handling software can respond to frequently asked questions, collect details, and recognize the customer through their speech. It can also route the call to agents before connecting to the AI
AI call center software can feed useful information to help agents while they are communicating with a customer.
Managers can use AI and data tools to quickly find out the issues in hundreds of customer calls and do not need to spend hours listening to audio recordings
How to choose
The factors that actually separate one tool from another — expand any for detail.
Determine if you require services such as an Inbound Support, Outbound Sales, Appointment Booking, Customer Self Service or a complete omnichannel contact centre. Find out the simple tasks that a robot can do for you. Prefer keeping real people to resolve complicated or emotional issues.
Do you answer incoming calls, make ougoing calls, or doing both?Which customer questions are repeatedly asked?During which specific hours do you need an agent to immediately respond to queries?Do you want to communicate with customers via chat, e-mail, SMS or social messages too?Are you planning to offer support services to people who speak different languages or reside in different countries?
Check transcription and routing, response accuracy, summaries, and escalation with actual call scenarios. The system should never guess or lie, but openly admit when it’s confused.
Does the software have a deep understanding of your customer’s industry words and jargon?Are the transcripts and conversation summaries accurate?Are there any noticeable signs of pausing or lagging before responding?When does the AI not know the answer or get confused?Is the customer’s background information transferred to agent?
Ensure that the platform integrates with your CRM, help desk, knowledge base, workforce tools, payment solutions and reporting system. The ideal setup would be to recognize the customer, show relevant information, record the conversation, store a quick summary, and then send the next call right away.
Does it work with the primary system you already use?Will customer information automatically pop up as soon as they make a call?Where are call summaries and transcripts actually saved?Are APIs and Webhooks available, so that apps can automatically communicate with one another?How much manual labor would agents still have to do while copying and pasting?
An AI call monitoring software can analyze calls for quality, compliance, mood, and \85447
bad words to facilitate staff training. Communicate with supervisors to find out how they want to choose, score, save, and review those recordings.
Pricing can be adjusted based on call minutes, phone numbers, AI usage, storage, analytics, setup costs, linked apps, and customer support.
Who will have access to call recordings and transcripts?Can we set up any rules for how long the data and recordings will be kept?Is the customer's private info being shared with outside AI models?What are the additional expenses for using AI?At what rate does the cost of the item increase with usage?
Must-have features
Smart systems that automatically transfer customers to most suitable person or line.
It is an automation system which can hand-over the call to a human operator smoothly.
The real-time transcription and accurate summarization feature are another great advantage.
Integration with CRM, help desk, and knowledge base
Searchable recordings and conversation analytics based on when or where the call happened.
Unique permissions on a per-user basis, retention, and audit records can be configured.
The bottom line
Pick the platform that you could depend on for real communications with customers, aligns with your current systems (and works well with them), and addresses a real operational issue that you are trying to resolve. First, begin with a small, specific group such as sales team or cutsomer support calls before implementing it to your entire company.
Frequently asked questions
There is no one solution that is right for all organizations. Evaluate based on your own calls, current software, security, communication apps, and budget. A huge enterprise platform might be too big for the smaller company. However, a simple calling app may not be able to fulfill the needs of a huge business.
The ultimate AI automation software for the contact center is one that manages the monotonous tasks without turning things complicated or annoying for customers. Search for software that understands people, links safely to your apps, fits within your budget, shifts smoothly to humans, and lets managers keep a check on everything.
Although AI can easily handle repetitive queries and monotonous paperwork, it still can’t handle more in-depth or sensitive discussions where human judgment and attention are absolutely essential.
Subscription charges vary by team size, usage, and custom corporate deals. Compare costs for every user, total minutes, AI consumption, phone numbers, data storage, linked apps, setup help, and customer support.
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