AI services for building AI call agents

No one enjoys sitting by the phone, listening to that dull hold music on repeat while waiting to connect to customer service. Nor do they appreciate robotic responses that can’t go beyond scripted replies. Thanks to AI, we’re now able to overcome these frustrations.

Instead of waiting on hold for long periods, customers can now interact with smart systems that respond quickly and accurately. New generation AI-powered tools enable call centers to operate more efficiently, resolve issues faster, and deliver improved service. It’s also a win-win situation: it also reduces operational costs. 

According to Gartner, AI in customer service will continue to grow, with 70% of customer interactions being managed by AI by 2025. You’ll be more peaceful in your business with this capable automated system. 

Let’s explore how AI can help you build AI call agents

What is an AI call agent?

An AI call agent is an intelligent system designed to handle customer calls and complete tasks without human involvement. Using advanced AI, these agents can understand and respond to customer inquiries, solving problems quickly and efficiently. Unlike traditional call center agents, who address each customer individually, this system can manage multiple calls simultaneously and operate 24/7.

They’re effective for repetitive tasks, such as answering common questions, checking account details, or resolving simple issues. As a result, this frees up human agents to focus on more complex issues requiring personal interaction.

Moreover, integrating AI into call centers allows businesses to save time, cut costs, and deliver faster service. According to McKinsey & Company, a major telecommunications provider automated 80% of its resource scheduling, resulting in a 10% decrease in escalations, a 15% reduction in cycle time, and a 15% drop in field costs.

Why build an AI call agent?

Building an AI call agent is a smart move for businesses aiming to enhance their customer service. These agents take care of routine tasks, freeing up human agents to handle more complex issues. This not only saves time but also reduces costs. By automating many customer interactions, businesses can rely less on large customer service teams while maintaining high levels of support.

In this way, your business can lower operational costs, resolve problems faster, and make it easier to scale customer service operations. For example, Vodafone uses AI-powered services to manage millions of customer inquiries.

How to build an AI call Agent

Step 1: Define the role and scope of your AI agent

The first step is to decide what tasks it will manage. Will it handle basic queries, like checking account balances, or more complex tasks, such as troubleshooting? Clearly defining the agent’s role ensures proper training and functionality. Additionally, set metrics to measure its performance. Such as resolution times, the frequency of human intervention, or customer satisfaction scores. 

Step 2: Choose the right AI technology and platform

One of the big questions is finding the right AI platform. If it doesn’t meet your business needs or integrate seamlessly with existing systems, it can lead to negative customer experiences, thereby affecting your brand reputation. A well-chosen platform enhances efficiency, improves customer interactions, and supports a seamless experience.

Top AI powered call center:

Google Dialogflow CX
dialogflowcx
Dialogflow CX

Google Dialogflow CX is an advanced conversational AI platform for designing and integrating sophisticated virtual agents across multiple channels.

  • Visual conversation builder
  • State-based dialog management
  • Omnichannel deployment (voice, chat, etc.)
  • Advanced Natural Language Understanding (NLU)

Pros:

  • Extremely powerful and scalable for complex flow
  • Integrates seamlessly with Google Cloud ecosyste
  • Visually intuitive for managing conversation states

Cons:

  • Steeper learning curve for beginners
  • Pricing can be high for high-volume usage

Pricing: Starts at $0.007 per text request and $0.001/sec for voice; $600 trial credit available.
Location: United States

“Dialogflow CX allows us to handle complex conversations, achieve higher call containment rates as well as seamlessly engage across multiple channels.”
Derrick Deravariere, General Manager, Contact Center Operations and Strategy at The Home Depot

Voiceflow
Voiceflow
Voiceflow

Voiceflow is indeed a collaborative conversational AI platform that empowers teams to visually design, prototype, and launch chat and voice agents without heavy coding. It supports features like visual drag‑and‑drop editing, real‑time prototyping/testing, one‑click publishing across channels, and built-in NLU/dialog management.

  • Visual drag-and-drop editor

  • Real-time in-browser prototyping

  • One-click multichannel publishing

  • Built-in NLU and LLM integration

  • Knowledge base search

  • Team collaboration and versioning

Pros:

  • Extremely user-friendly, no coding required

  • Speeds up prototyping and iteration

  • Great for design–dev collaboration

  • Supports LLMs and knowledge bases

  • Scalable team workflows with roles and versioning

Cons: 

  • Advanced logic may require custom code or APIs

  • Advanced features locked behind higher-tier plans

  • Pricing scales quickly for large teams

  • Dependency on external APIs for advanced actions

Pricing: Free Starter plan (100 credits/month, 2 projects); paid plans begin at $60 USD per editor/month (~$648/year), with higher-tier Business ($150/month) and Enterprise options.
Location: Toronto, Ontario, Canada

“Voiceflow takes the pain out of building powerful AI Agents. Building Agents is very much a ‘team sport’ and Voiceflow makes it fun to work together and build customer facing use-cases and internal AI applications.” Victor Algaze, Software Engineer

PollyAi
Polly AI
Polly AI

PolyAI offers a next-generation voice assistant platform that specializes in creating remarkably human-like, conversational AI agents for enterprise customer service.

  • Proprietary, advanced Natural Language Understanding
  • Dynamic and context-aware conversational flows
  • Multilingual and multi-accent support
  • Designed specifically for resolving issues over voice

Pros:

  • Exceptionally natural-sounding and human-like conversations
  • High accuracy in understanding complex user intent
  • Proven results in enterprise-level call centers

Cons:

  • Premium, quote-based pricing model
  • Less of a self-service DIY platform

Pricing: Pricing available by request—usage-based per‑minute pricing (includes maintenance, updates, 24/7 support), no public rates provided.
Location: London, United Kingdom 

ElevenLabs
AI services for building AI call agents
ElevenLabs

ElevenLabs is a premier platform for creating realistic, human-like speech. While not a standalone AI call agent, it serves as a powerful Text-to-Speech (TTS) plugin. You can integrate it into larger agent systems, like Google Dialogflow, to give your automated conversations a remarkably natural and high-quality voice.

  • Text-to-speech (TTS) conversion
  • Voice cloning with customization
  • Multilingual support
  • Adjustable intonation and pacing

Pros:

  • High-quality, natural-sounding voices
  • User-friendly interface
  • Versatile applications across industries

Cons:

  • Pricing may be high for small businesses
  • Limited free tier features

Pricing: Free plan available with 10k credits limit. Paid plans start from $5/month.
Location: United States

“We’ve been using elevenlabs for a while now and the workflow is great, generating voice from text is the easiest thing ever. We created a custom model of a senior team member, and the results are almost indistinguishable from the real thing. But what’s more, when we needed support from the team, they rallied to figure out an urgent situation and really went the extra mile to help us overcome the challenge we faced. Big shoutout to Matt and J for the team effort.” Sergio Barreto

Retell AI
AI services for building AI call agents
Retella AI

Retell AI offers an advanced API platform for building human-like conversational voice AI agents, facilitating seamless voice interactions for businesses.

  • Ultra-low latency responses (~800ms)
  • Natural turn-taking and interruption handling
  • Multilingual support
  • Easy integration with existing systems

Pros:

  • Realistic and engaging voice interactions
  • Flexible and scalable solutions
  • Compliance with privacy standards

Cons:

  • Pricing details require direct inquiry
  • May require technical expertise for integration

Pricing: Free trial available. Pay-as-you-go options start from $0.05 per minute.
Location: United States

“The technical implementation is seamless, with well-documented APIs and robust error handling. Response times are impressively fast, and the voice quality is outstanding. Their leadership team and customer support have been exceptional, making the integration process smooth and straightforward.” Gianni D’Alerta

Synthflow
AI services for building AI call agents
Synthflow

Synthflow AI is a no-code platform that allows businesses to create and deploy advanced conversational AI voice assistants, automating customer interactions without extensive technical expertise.

  • No-code interface for easy setup
  • Customizable AI voice assistants
  • Real-time voice interactions
  • Integration with over 130 tools and services

Pros:

  • User-friendly for non-technical users
  • Enhances customer experience with lifelike interactions
  • Cost-effective solution for automation

Cons:

  • Subscription costs may be high for small businesses
  • Initial setup may require time

Pricing: Starts at $29/mo, 50 minutes and 10 concurrent calls.
Location: United States

“I’ve used Synthflow extensively since first engaging with voice AI tech about three months ago. I like their platform and how easy it is to set a voice agent and get it working. I was able to create an inbound agent that answers calls at a law firm, sets appointments, and live-transfers calls upon request. There is inline integration with Zapier, so you can build zaps directly within the Synthflow ecosystem, which is convenient.” Mike Margol

Tool Integration Options Multilingual Support Pros Cons Free Trial Pricing
ElevenLabs Limited integration; primarily text-to-speech tools Yes High-quality, natural-sounding voices; user-friendly; versatile High pricing for small businesses; limited free tier features Yes, 10k credit limit Free plan with paid plans starting at $5/month
Retell AI Seamless integration with APIs and existing systems Yes Realistic voice interactions; scalable; privacy-compliant Requires technical expertise; pricing details require inquiry Yes Pay-as-you-go starting at $0.05/minute
Synthflow Integrates with 130+ tools, including Zapier Yes No-code interface; cost-effective; beginner-friendly Subscription costs may be high; setup time required Yes Starts at $29/month for 50 minutes and 10 concurrent calls
Dialogflow CX Seamless integration with Google Cloud ecosystem Yes Powerful and scalable; state-based flows; omnichannel deployment Steep learning curve; pricing may be high at scale $600 trial credit available $0.007/text request, $0.001/sec voice usage
Voiceflow Visual design with API, LLM & KB support Yes User-friendly; collaborative; built-in NLU & LLM; scalable for teams Some advanced logic requires code/APIs; price scales with usage Free Starter plan Starts at $60/editor/month; Business from $150/month
PolyAI Enterprise-grade integrations with custom APIs Yes Human-like voice quality; proven in enterprise call centers Quote-based pricing; not DIY; limited self-service options Not public Per-minute pricing (by request); includes support & updates

Step 3: Train your AI agent with real-world scenarios

Zappos, known for excellent customer service, uses AI to handle routine tasks, like order inquiries, and constantly trains its AI to improve customer interactions based on real-life scenarios.

To continuously train your AI, you should provide real-world data from customer interactions. Over time, you’ll have better results because it enables the AI to learn from mistakes and improve its accuracy and efficiency for future conversations.

Will AI replace call center agents?

AI shouldn’t be seen as a replacement for call center agents. It’s a productive hybrid system where AI and humans can work together.

In this system, AI call agents take care of repetitive tasks quickly and efficiently. Therefore, human agents remain essential for addressing sensitive issues that require empathy, creativity, or critical thinking.

This teamwork not only boosts efficiency but also enhances customer satisfaction by ensuring both simple and complex inquiries are handled effectively.

Need a custom AI solution? We create personalized tools like AI call agents. Let’s build one for you. Contact us today.

FAQ

An AI call agent is an intelligent system that handles customer calls and tasks without human involvement. It can manage multiple calls simultaneously and operate 24/7, freeing human agents for complex issues.

AI call agents:

  • Reduce operational costs.
  • Resolve customer inquiries faster.
  • Improve customer satisfaction with quicker, accurate responses.

To build an AI call agent:

  1. Define the tasks it will handle.
  2. Choose the right AI platform (e.g., ElevenLabs, Retell AI, Synthflow).
  3. Train it with real-world customer interactions for better accuracy.
  • ElevenLabs: Text-to-speech, voice cloning, multilingual support.
  • Retell AI: Low-latency, realistic voice interactions, API integration.
  • Synthflow: No-code platform with real-time voice AI and integrations.

No, AI call agents complement human agents. AI handles repetitive tasks, while humans manage complex or sensitive issues requiring empathy and creativity.

Training with real-world scenarios helps AI agents improve accuracy, learn from mistakes, and handle more complex inquiries effectively.

AI call agents lower costs by:

  • Handling routine inquiries without human staff.
  • Reducing the need for large support teams.
  • Automating repetitive processes efficiently.

Industries like telecommunications, e-commerce, healthcare, financial services, and law firms benefit from AI call agents for automating customer support.

  1. Define its role and scope.
  2. Select the right AI technology platform.
  3. Train the AI using real data for continuous improvement.

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