How often does a customer find themselves hoping to reach a support agent without having to deal with these robots that don’t understand them? It is a frustratingly common occurrence.
Each time this happens, your business is either losing a customer or their trust and dependability on you. But this doesn’t have to be the case.
You can establish your business credibility and handle large call volumes without losing customers. All you need is an AI calling software with tools and platforms that back your call center team, reduce response time, and boost customer conversions.
Read on as we walk you through what an AI calling software is, what platforms and tools are currently available in the market, and how to choose one that best meets your business needs the best.
What Is An AI Calling Software?
AI calling software, also known as AI call centers or AI phone call platforms, is a smart customer service solution leveraging artificial intelligence, particularly NLP (Natural Language Processing) and ML (Machine Learning), to automate and enhance phone calls. They provide the infrastructure and tools to also handle tasks like taking messages, booking appointments, answering customer support questions, etc.
Unlike the robocalls and traditional phone systems delivering a rigid, mechanical script, AI calling systems offer AI calling agents and assistants capable of making and receiving phone calls, holding a conversation with the caller, deciphering their intent, responding in real-time, and taking action accordingly, all, while keeping it real, personal and human-like. They offer immense flexibility for businesses to host, manage, adapt, and customize multiple AI-powered phone solutions.
Key Capabilities
While AI calling software comes with several features, the top five distinguishing features include:
- Automatic Speech Recognition (ASR) to listen intently and transcribe the caller’s words and accent in real time.
- Trainable knowledge base thorough with the latest company data by ingesting PDFs, URLs, internal conversations and more.
- Topic extraction to identify, analyze and categorize, understand, and respond in relevance to the conversation
- Sentiment analysis to detect the tone and mood of the caller and respond accordingly
- Intelligent call routing to connect to the appropriate human agent per the callers’ concerns and needs.
- Autonomous execution of tasks like booking meetings, transferring calls, summarizing call conversations, sharing call logs, etc.
Benefits
When it comes to AI calling software, what they offer and how they solve real-world problems are mainly platform-reliant. Here are some of the major benefits you can expect from most calling intelligence software:
- 365/24/7 assistance: Enables round-the-clock operation with minimal supervision, ensuring customer queries are answered at any time of the day.
- Improved customer satisfaction: Addresses routine queries instantly and automates repetitive tasks, reducing customer wait times and freeing up human agents for complex issues.
- Higher conversions: Handles large volumes of calls without stress or delays, creating more time to acquire new customers or boost sales.
- Saved costs: Minimizes labor, training, and other operational costs by automating recurring tasks and streamlining workflows.
10 Best AI Calling Agent Software and Tools in 2025
The current market for AI call center platforms and associated tools, like AI calling agents, is booming and highly competitive. If you’re not clear about what you want, you’ll be going down a rabbit hole exploring the many options available, leaving you feeling lost and overwhelmed. So here’s a curated list of the main features and solutions of the current key players in the AI calling software sector:
1. ServiceAgent
For micro, small, mid, and large enterprises seeking a trainable, reliable, high-performing voice agent, ServiceAgent is the perfect choice, especially for customer-facing automation. It’s a Home Service industry favorite.
Key Features:
- Emotion-aware speech engine with personalized, natural-sounding diction and voices.
- 24/7 appointment scheduling, query answering, call summarizing capabilities.
- Deep knowledge base for training AI to answer customer queries accurately.
- Precise human handoff.
Unique Edge:
- Extensive multilingual voice library with human-like AI voices, which are accent-flexible.
- Quick and easy deployment with meticulous onboarding.
- Trained on 1B+ calls
- Cost-efficient calling software.
Comprehensive call summaries with action items.
2. CloudTalk
An advanced cloud phone system backed by AI insights, CloudTalk helps scale SMBs and remote sales teams with its flagship AI-powered calling tools.
Key Features:
- Call flow designer, smart+power dialer, and intelligent call routing
- Real-time monitoring and sentiment detection
- CRM integrations (HubSpot, Pipedrive, Salesforce)
Unique Edge:
- AI-driven performance analytics and a real-time dashboard to monitor agents
- 160+ international, toll-free numbers to expand the customer base globally
3. Convin’s AI Phone Calls
Convin’s AI calling software enhances customer interactions using conversation intelligence. Its enterprise-grade AI agents are capable of recording, transcribing, and analyzing customer calls.
Key Features:
- High-potential lead qualification powered by intent matching.
- Prompt post-call follow-up emails or WhatsApp messages.
Unique Edge:
- Efficient interruption management to handle background noise and flow-breaking queries.
- Availability of both on-premises and private cloud deployments.
4. IBM Watson Assistant
If your business is large-scale and undergoes strict data governance, IBM Watson Assistant is your best bet.
Key Features:
- Voice agent deployment with Watson Speech
- Context-backed memory and intelligent call routing and agent handoff.
- Adaptable with Interactive Voice Response (IVR) and call center platforms
Unique Edge:
- Priority for security and compliance
- In-built systems for performance analysis and learning recommendations
- The enterprise-grade studio called watsonx.ai for AI service/tool development and deployment into any application
5. RingCentral
Looking for a UCaaS (Unified Communications as a Service) platform powered with AI calling? RingEX and RingCX might be all your large organization needs.
Key Features:
- Centralized, remote management of multiple locations.
- Round-the-clock AI receptionist answers calls and queries.
- Seamless migration and integration.
Unique Edge:
- Effortless unified communications.
- Easily scalable for all business and team sizes.
- AI agent management software is available, in addition to calling agents.
6. DialPad
Are you a fast-moving, rapidly growing small or medium business? You are likely to choose a smart, flexible, and modern AI calling platform like DialPad.
Key Features:
- Agent coaching and call transcription are done in real time.
- Summaries and follow-up actions suggested by AI.
- One platform for voice, video, and messaging operations.
Unique Edge:
- Comes with Dialpad AI, their built-in AI engine.
- Robust support for both mobile and remote access.
- Has an intuitive and sleek user interface.
7. Talkdesk
Choose Talkdesk if you’re dealing with massive call volumes and dissatisfied customers. It reduces costs and improves customer satisfaction with large call centers and customizable AI tools.
Key Features:
- Dual call handling (inbound and outbound) AI agents.
- Real-time assistance and quality checks for agent activities.
- Omnichannel engagement and multi-agent orchestration.
Unique Edge:
- Pre-built cloud (Talkdesk CX Cloud™) and tools customizable for different industries.
- Low-code, no-code, and custom-code development tools are available.
8. NICE CXone
Enterprise companies in strictly regulated sectors trust NICE CXone for AI-powered customer journeys, quality checks, and compliance.
Key Features:
- Thorough behavioral analysis tools.
- Voicebot for automated interactions
- Comprehensive tools for workforce engagement and optimization.
Unique Edge:
- Preferred by compliance-heavy industries.
- Multi-region failover for uninterrupted AI operations.
- Well-assisted setup training by CX experts.
9. Five9
Is your outbound team overworking, facing a high volume of calls? Automate voice operations with Five9 and boost the productivity of big business sales teams through automation and coaching.
Key Features:
- Predictive dialing with AI lead scoring
- Assistance for agents (real-time suggestions)
- Uncomplicated and simple cloud migration
Unique Edge:
- Holistic Gen AI suite with seamless integrations.
- Designed for outbound-heavy industries and operations
- Cloud-native software with high credibility and reliability
10. Genesys Cloud CX
For teams particular about orchestrating the fusion of AI into their workforce and customer experiences, they can adopt Genesys Cloud CX. The cloud architecture and open platforms empower big companies to innovate and build their business needs.
Key Features:
- Contact center software embedded with Genesys AI
- Predictive analytics for engagement, empathy, and speech.
- Customer and employee journey optimization features.
Unique Edge:
- Extensive integration and deep multi-channel unifying capabilities.
- Quick rollout enabled by pre-built use cases for workforce and customer engagement, and customizable for industry categories.
- Globally validated and supported.
How to Choose the Best AI Calling Agent Software for Your Business
No AI calling software can be a one-size-fits-all solution. You should be evaluating your best fit based on the following checklist:
1. Industry and Use Case Relevance
The foremost consideration must be to think about how the AI calling software fits into your industry and business, and what you will be using it for – automating outbound sales calls, booking appointments, or customer care and support. This will narrow down your choices and help you choose a tool that’s most specialized in your needs and domain.
2. Scalability
When you’re choosing an AI call center solution, consider not just your call volume but also business scalability. A good tool should be able to handle your current and future customer base seamlessly, and handle sudden, large spikes without performance deterioration. Cloud-native solutions work best for this.
3. Language & Accent Support
If your business caters to multilingual audiences spanning across the country or the globe, your AI calling platform must speak their languages and understand regional accents to respond naturally. Prioritize software that comes with a custom voice training option and dialect recognition.
4. Tool Integration Compatibility
The right AI calling tool will easily integrate with your existing tech stack, whether you’re using Salesforce, HubSpot, Zendesk, or your in-built CRM and marketing systems. Look for native API integration in your tool to ensure issue-free data syncing, better context for customer calls, and streamlined workflows.
5. Extent of Customizability
Every business has a unique way of speaking to its customers. And, this varies further based on the product or service, the intent of the call, the caller’s position in the funnel, and so on. This calls for a flexible, customizable software that lets you take control of call flow logic, tailor the AI calling agent’s tone to fit your brand, define your fallback rules, etc. A no-code or low-code editor is advantageous for this purpose.
6. Performance Analysis & Insights Tracking
From call duration to call drop rates, every aspect of a customer call reveals a deep insight into what can be improved, helping you optimize conversations and better train your AI calling agents. If you need this, look for built-in dashboards offering real-time data on call performance, resolution rates, customer sentiment, and other key metrics.
7. Compliance & Security Considerations
All calls handled by AI deal with sensitive information. It’s thus important to ensure that the software adheres to relevant data privacy regulations – GDPR (General Data Protection Regulation), CCPA (California Consumer Privacy Act), and HIPAA (Health Insurance Portability and Accountability Act), whenever and wherever relevant. Some must-haves include encryption, role-based access, and audit logs.
8. Onboarding Help & Support Availability
The make-or-break for any platform or tool subscription heavily depends on vendor responsiveness. Make sure they offer onboarding support, training material, and documentation, and consistent help after installation without affecting your business timelines too much.
All things taken into consideration, the best way to make a decision on which AI calling software to choose would be to try the pilot program or demo, if available. This will allow you to explore multiple platforms and get clarity on which one is working for your business before committing to the platform.
Why Choose ServiceAgent.ai
AI calling software is gaining popularity by the day, and for good reason. However, not every solution or platform can match your requirements unless it is backed by robust technology that is adaptable, customizable, and scalable. ServiceAgent is one of those few dependable end-to-end solutions.
If you choose ServiceAgent, expect:
- Nuanced, personalized, and empathetic voice interactions with accurate sentiment, mood, and emotional analysis.
- Efficient inbound and outbound call handling, concurrently.
- Precise and timely human routing for escalations and complex issues that need intervention.
- Multilingual call agents with custom voice designing, tailored scripting, and brand-fit training features.
- High context retention is enabled by periodic transcripts and concise summaries generated for calls.
- Automated appointment scheduling, following up, and cold calling capabilities.
- Stress-free, efficient onboarding with consistent, hand-held customer support.
Sign up with ServiceAgent now. With our AI calling agents that integrate seamlessly, remove friction when handling massive call volumes, and enhance your overall business performance.
FAQ
1. Can AI calling agents replace humans completely?
Never. AI calling agents are meant to free up time for human agents to prioritize more complex issues by automating repetitive tasks like follow-ups, appointment bookings, and answering common customer queries.
2. How secure is AI calling software?
Top platforms like ServiceAgent and CloudTalk follow the compliance and security regulations laid by institutions like GDPR and CCPA. Some of these top platforms also encrypt voice data and offer audit trails to ensure transparency. Nevertheless, always ensure that you ask for and review all the security documentation available.
3. How long does it take to set up an AI calling agent?
Setting up an AI calling agent can take anywhere between a few hours and months, depending on the system complexity and customization required. With ServiceAgent, you can go live in under x days, even with the most complex model, with full onboarding help and consistent support after deployment.
4. AI calling software vs. AI calling agent – what’s the difference?
AI calling software is what provides the infrastructure and technology required to host tools and platforms that help enhance the phone systems, while an AI calling agent is one of the tools designed to handle the calls and associated tasks autonomously and intelligently. In other words, AI calling software is the ecosystem in which AI calling agents thrive.
