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Want to build an AI phone call assistant but don’t know where to start? With tools like Lindy, an out-of-the-box solution already exists — you just need to customize it for your business.
Thanks to no-code automation platforms, you can personalize the AI call agent to your business without needing any programming skills.
Read on to learn:
- What an AI phone call assistant is and what it can do
- Which industries benefit the most from these tools
- Build an AI Phone Call Assistant without code
- Benefits of using no-code apps for call agents
- Why Lindy is the best no-code platform for building AI call assistants
What is an AI phone call assistant?
An AI phone call assistant is like having a tireless, super-efficient receptionist, customer service rep, and sales agent all rolled into one. Powered by large language models, these digital helpers can handle all sorts of phone-based tasks, freeing you up to focus on other important things.
What can an AI call assistant do?
If you’re new to call assistants using AI, here’s a quick overview of the functionalities:
- Customer service: Imagine a world where your customers never have to wait on hold again. AI phone answering assistants can answer questions, resolve issues, and even offer friendly-enough banter, all while you're busy with other tasks.
- Appointment scheduling: No more back-and-forth emails or phone tag. AI call assistants can schedule appointments, send reminders, and even reschedule if needed.
- Sales calls: AI phone call assistants can qualify leads, answer questions about your products or services, and even close deals.
- Automated receptionist tasks: These phone call assistants can greet callers, direct them to the right person or department, and take messages.
Which industries benefit from an AI phone assistant?
AI phone assistants can be valuable for a wide range of industries, but some sectors find them particularly beneficial. Here are a few examples:
- Healthcare: AI phone assistants can schedule appointments, answer patient questions, and help with medical records, reducing patient hold times and administrative burdens for healthcare professionals.
- Real estate: A call assistant powered by AI can qualify leads, schedule showings, and answer property-related questions, allowing realtors to focus on closing deals.
- Education: These assistants can answer student inquiries, schedule advisor meetings, and assist with enrollment, freeing up staff time and improving student satisfaction.
- Customer service: AI phone assistants can handle common questions, resolve issues, and escalate complex calls to human agents, leading to happier customers and reduced stress on support teams.
- Sales: These AI-powered tools can qualify and enrich leads, schedule demos, and answer product or service questions, enabling sales teams to concentrate on closing deals.
6 steps to build an AI phone call assistant without code
Want to build an AI phone call assistant but don't know how to code? No problem! Here's a step-by-step guide to building your very own AI phone call assistant without writing a single line of code:
Step 1: Choose a no-code AI phone assistant platform
First things first, you need to choose a platform that lets you build your AI phone call assistant without coding. Some options include Lindy, Goodcall, and IsOn24. When choosing a platform, consider features like call answering, CRM integration, and analytics.
For example, Lindy offers a user-friendly visual interface and a wide range of features, including the ability to handle inbound and outbound calls, integrate with popular business tools like Salesforce to take key data from said calls to update your knowledge base and much more.
Step 2: Define your AI call assistant's purpose
Before you start building your AI call assistant, ask yourself these big questions. What do you want it to do? Do you need it to handle customer support, qualify leads, or schedule appointments?
Once you know its purpose, you can start identifying common call scenarios and questions the AI should handle.
For example, if you're building an AI call assistant for customer support, you'll need to determine the most common customer questions and issues. You can then add this info to a knowledge base that the AI model of your choice will query to answer questions accurately.
If you're building an AI call assistant for lead qualification, you'll need to pinpoint the criteria that qualify a lead as a good fit for your business. You can then use this information to instruct the AI to ask the right questions and spot qualified leads.
Step 3: Customize your AI phone assistant's responses
Many no-code platforms offer pre-built response templates. For example, Lindy offers a Phone Call Assistant template that you can customize in Lindy’s drag-and-drop interface.
You simply add actions, triggers, and conditions, so your assistant will behave the way you want to and fetch data from relevant files or platforms. The best part? In some modules, you can use natural language to instruct the AI model you choose on how to act.
You can also set up rules to make sure a human agent steps in when needed. For example, if a caller asks a question the AI can’t answer or if the caller sounds frustrated, the assistant can transfer the call to a live representative. This way difficult issues are handled by a person instead of the AI.
Step 4: Integrate with business tools
Connect your AI call assistant to your calendar, CRM, or helpdesk software. No-code AI automation platforms like Lindy offer integrations with Gmail, Salesforce, Zoom, and all modern business apps and tools.
For example, you can link your AI call helper with your CRM to automatically log call data and update customer records. With Lindy, this is all done with individual modules you can string together.
Step 5: Test your AI call assistant
Run test calls to check for accuracy and natural-sounding responses. For example, you can ask a colleague to call your AI assistant and ask it a few questions.
This will help you to identify areas where the AI needs improvement. You can use Lindy’s Make Phone Call action to transcribe the call, then automatically send the notes to an AI agent like ChatGPT to give feedback about how the call went.
Step 6: Deploy and monitor performance
Activate your AI phone assistant on your business phone line or VoIP system. Monitor call analytics and refine responses based on customer interactions.
For instance, you can track how often the AI successfully resolves issues, identify recurring customer concerns, and analyze sentiment to fine-tune responses. These insights help you train the AI to handle more difficult interactions and keep customer satisfaction high.
Perks of no-code apps for creating AI call assistants
No-code apps for AI phone call assistants offer several benefits:
- 💸 Save time and money: No-code platforms eliminate the need for expensive development teams, reducing costs. This is because they provide pre-built modules and templates that can be easily customized without coding, saving businesses time and resources.
- 🌊 Be swift like the coursing river: No-code platforms allow for fast prototyping and deployment of AI call assistants, enabling businesses to respond quickly to changing customer needs. This agility is crucial in today's dynamic business environment, where expectations and market trends can change quickly.
- 🤝 AI for everyone: No-code platforms help those without coding skills to create and manage AI call assistants, democratizing access to this technology. This accessibility lets businesses of all sizes and technical expertise use the power of AI for their phone call needs.
- 📈 Scale without the woes: No-code platforms let you easily adjust your AI call assistant as your business grows. Whether you need to handle higher call volumes, add new workflows, or integrate with tools like CRMs, most platforms adapt without extra dev work. This way your AI assistant can keep up with demand without feeling swamped.
FAQs
Can an AI phone assistant schedule appointments?
Absolutely! AI phone assistants can book, reschedule, and cancel appointments based on availability, syncing directly with calendars like Google Calendar or Microsoft Outlook.
Does an AI phone assistant work with VoIP systems?
Yes, most AI phone assistants are compatible with VoIP systems, allowing businesses to integrate them with platforms like Zoom Phone, Twilio, or RingCentral without additional hardware.
How accurate is AI phone answering?
AI phone assistants are highly accurate, thanks to advanced speech recognition and machine learning models. However, accuracy may vary based on call quality, background noise, and the complexity of the conversation.
Can AI handle multi-language phone calls?
Yes, many AI phone assistants support multiple languages and can switch between them dynamically, making them ideal for businesses with diverse customer bases.
Why Lindy is the best no-code AI phone call assistant
Let's explore why Lindy stands out as the premier AI phone call assistant:
✅ Handle support workflows with Lindy, not just calls
Lindy takes charge of your customer interactions across multiple channels. Picture an AI assistant that can be configured to manage both incoming and outgoing calls, send follow-up emails, update your CRM and spreadsheets, and execute multi-step tasks without a line of code.
Thanks to the Flow Editor’s modular design, you can visualize how each task flows into the next, providing a smooth operation. Plus, you can delegate tasks between AI agents (which we call Lindies) — this gives you even more flexibility and versatility.
✅ Deploy your AI call assistant in minutes
Time is money, and Lindy respects that. With the Phone Call Assistant template, you can have your AI assistant up and running in no time.
This template is customizable and with insights from our Lindy Academy, you can fine-tune it to fit your needs. Once set, testing and launching are quite literally a click away, allowing you to start benefiting from automation without delay.
✅ Full integration without API woes
Worried about compatibility? Lindy has you covered. It integrates effortlessly with all popular tools, including CRM platforms like HubSpot and Salesforce, and everyday apps like Notion and Slack.
The best part? Lindy connects with your existing systems without having to jump through hoops whenever you — for instance — add a module requesting your Lindy to query files directly from your Notion account.
Start building your AI phone call assistant with Lindy
Many platforms offer tools to help you handle phone calls, but Lindy goes beyond just handling calls — it automates various key stages of your workflow.
With Lindy, you’re getting an AI phone call assistant that can connect to other business-critical tasks. No need for coding or expensive developers — just simple drag-and-drop automations using Lindy’s visual editor.
Next thing you know, you’ll be customizing it with more AI agents or building a knowledge base to put all that added phone call data to work.
Want to start automating phone calls now? Try Lindy’s free plan and build your own AI phone call assistant in minutes.
