Aircall
Workflows

Connect Aircall with meinGPT Workflows: Intelligent Telephony for Optimised Customer Service

Supercharge Aircall: Improve team communication with our AI Workflows via Make.com.

Introduction

Aircall is a leading cloud-based telephony solution powered by VoIP technology that integrates seamlessly with existing business processes. As an advanced phone system, Aircall offers an intuitive user interface and extensive integration options with CRM systems, helpdesk solutions and other business applications. With its AI-powered communication features, it unifies different channels, automates tasks and provides valuable insights into customer communication – all through a single, user-friendly platform.

Integrating Aircall with meinGPT's AI workflows opens up entirely new possibilities for businesses looking to optimise their phone-based customer communication. By connecting the powerful cloud phone system with meinGPT's intelligent AI workflows, companies can automatically analyse customer calls, create call notes, prioritise tasks and even automate individual follow-up actions – all while adhering to the highest data protection standards.

In this blog post, we'll show you how combining Aircall and meinGPT workflows takes your customer interactions to a whole new level while boosting your teams' efficiency.

Why integrate Aircall with meinGPT?

Aircall was designed as a cloud-based phone system to boost productivity and deliver detailed analytics of all phone activity through a single intuitive interface. VoIP technology stores data securely in the cloud and enables the phone system to integrate with numerous external SaaS applications. As a leading app ecosystem for voice communication, Aircall can communicate with all your key tools and workflows.

Combining it with meinGPT workflows offers several decisive advantages:

Functional areaWhat Aircall offersWhat meinGPT addsCombined value
Call evaluationCall recording, basic statisticsAI-powered content analysis, text recognition, sentiment analysisAutomatic capture of customer concerns, identification of sales opportunities and escalations without manual intervention
Customer communicationTelephony interface, multi-channel supportPersonalised response generation, tone analysis, knowledge integrationConsistent, context-sensitive communication with real-time access to company knowledge
DocumentationBasic notes, tags and recordingsAutomatic summarisation, task extractionComplete, structured call logs with recommended actions
Process automationCall routing, IVR menusIntelligent workflow control, decision supportFully automated end-to-end processes from call acceptance through to follow-up

Thanks to seamless integration with Aircall, you can use its powerful APIs to deliver the best phone experience for your team and your customers. Aircall takes care of the telephony, so you can focus on integrating the phone into your workflows and improving your core business. You can track call data synchronously and asynchronously, monitor calls and route them to the right team members. With meinGPT workflows, you can extend these capabilities further by displaying and linking customer information from various systems during a call – directly within the phone system.

About meinGPT – the GDPR-compliant AI platform

meinGPT is an AI platform built specifically for German and European businesses that is fully GDPR-compliant. Unlike many other AI solutions, all data is hosted on European servers, guaranteeing the highest data protection standards. This is particularly important when processing sensitive customer data from phone calls.

The platform stands out for its versatility – from text generation and meeting transcription to image and video generation. However, the heart of the Aircall integration is meinGPT Workflows, which enable recurring tasks to be automated and complex processes to be controlled through AI.

A particular advantage of meinGPT is the Data Vault, which allows proprietary company knowledge to be securely integrated into AI workflows. This means customer calls can be processed in the context of product information, company policies or specific customer data, leading to more precise and relevant results.

The meinGPT platform provides access to various AI models that can be selected depending on the use case. Models such as Claude 3.7 Sonnet or GPT-4o are particularly well suited for analysing phone calls and creating summaries, while Perplexity Online or Perplexity Deep Research can be used for research tasks.

Key use cases: Aircall and meinGPT in action

Combining Aircall and meinGPT opens up numerous practical use cases that can revolutionise customer service and sales. Here are the most important scenarios:

Automatic call follow-up and documentation

The challenge:
Support and sales staff spend a lot of time writing detailed notes after phone calls, updating information in the CRM and documenting next steps. Especially during busy periods, agents need to move quickly to the next customer in the queue, which often results in incomplete or inaccurate records.

The solution with Aircall + meinGPT:

1. A call is made or received in Aircall and automatically recorded

2. Once the call ends, the recording is passed to a meinGPT workflow via Make.com

3. The meinGPT workflow processes the audio recording with the appropriate AI model (e.g. Claude 3.7 Sonnet) and:

- Transcribes the conversation

- Creates a structured summary

- Identifies customer concerns and sentiment

- Extracts tasks and next steps

- Formulates recommendations for follow-up actions

4. The results are automatically sent back to Aircall and the connected CRM system

The main benefit:
Agents receive precise, detailed notes without manual effort. Complete and structured documentation leads to greater empathy, more meaningful call routing and faster resolutions. Since even experienced staff have human memory gaps, AI-based documentation minimises omissions and inaccuracies.

Intelligent call prioritisation and routing

The challenge:
Traditional call routing and prioritisation is often based on simple rules such as queues or IVR menus. However, this doesn't take into account the specific skills of agents or the urgency of particular customer concerns.

The solution with Aircall + meinGPT:

1. Incoming calls are received in Aircall and the first few seconds of the conversation are analysed

2. A meinGPT workflow is triggered in real time and processes:

- The customer's history from the CRM

- The customer's initial statements

- Available agents and their skills

3. The workflow uses the meinGPT Data Vault to access company-specific routing rules

4. The AI determines the optimal routing based on:

- Identified concern and priority

- Specialist knowledge of available agents

- Previous customer history

5. The call is routed to the most suitable agent via the Aircall API

The main benefit:
Unlike rigid rules, AI-powered call routing enables genuine 24/7 customer support with intelligent prioritisation. Response times are reduced, and complex enquiries are routed directly to staff with the right expertise.

Real-time support for agents during customer calls

The challenge:
During a customer call, agents often have to handle complex situations or answer technical questions that exceed their knowledge. Traditional call whispering allows managers to advise agents, but requires their constant availability.

The solution with Aircall + meinGPT:

1. Communication is analysed in real time during an ongoing call

2. A meinGPT workflow with access to the Data Vault processes the conversation and:

- Identifies complex questions or unclear situations

- Searches company knowledge for relevant information

- Formulates precise suggested responses

3. This information is displayed directly in the agent interface via the Aircall Insight Card API

4. The agent can use the suggested responses or adapt them

The main benefit:
Agents are supported by an "AI assistant" that delivers relevant information in real time. This increases the first-call resolution rate, reduces after-call work and ensures consistent, high-quality responses based on the company's entire knowledge base.

Automated post-call actions and follow-ups

The challenge:
After a customer call, agents have to complete numerous administrative tasks, such as recording notes, tagging, sending follow-up emails or assigning the contact to a better-suited colleague. This is time that's then unavailable for further customer calls.

The solution with Aircall + meinGPT:

1. A meinGPT workflow starts automatically once a call ends

2. The workflow analyses the conversation and determines the necessary follow-up actions

3. Based on the analysis, the following are generated automatically:

- Personalised follow-up emails are created and sent

- Tickets in helpdesk systems are created or updated

- Tasks for other teams are created

- Feedback surveys are sent to customers

4. Reminders for manual follow-ups are created where needed

The main benefit:
Automating post-call processes protects businesses from call volume fluctuations, speeds up service processes and reduces human error. Agents can focus on value-adding activities while routine tasks are handled automatically.

Use caseComplexity levelSetup timeMaintenance effortIdeal for
Automatic call follow-upSimpleShortMinimalCustomer service teams, sales, call centres
Intelligent call prioritisationMediumMediumOccasional adjustmentsSupport teams with high call volume
Real-time agent supportComplexIntensiveRegular knowledge base updatesTechnical support, complex products
Automated post-call actionsMediumMediumMinimal adjustmentsSales teams, customer relationship management

Setting up your Aircall and meinGPT integration

Integrating Aircall and meinGPT can be done in several ways, depending on your specific requirements and technical resources. Here are the main integration approaches:

The Aircall Public API is a classic REST API that can be used with any programming language and provides fast, reliable and secure access to the information in an Aircall account. The main endpoint of the Aircall Public API is https://api.aircall.io/v1, and all requests are transmitted over an SSL connection.

For most businesses, we recommend integrating via Make.com (formerly Integromat), as this platform offers a user-friendly, visual interface for building workflows between Aircall and meinGPT – with no coding required.

Integration typeUse caseAdvantagesSetup effortRecommended for
Direct API integrationReal-time processing of call dataFast processing, low latency, maximum customisabilityMedium to highDevelopment teams, technically proficient users
Make/Integromat-based integrationMulti-system workflowsNo coding skills required, visual design, numerous pre-built connectorsLow to mediumBusiness analysts, process managers, non-developers
Webhook-based integrationEvent-driven actionsFast implementation, modular structure, simple configurationLowQuick proofs of concept, simple workflows

For detailed instructions on setting up the integration, visit our comprehensive meinGPT integration documentation.

Getting maximum value: tips for your Aircall–meinGPT workflows

To make the most of the integration between Aircall and meinGPT, keep the following best practices in mind:

  1. Choose the right AI model for different tasks:

  2. GPT-4o is well suited for transcription and general call summaries

  3. For complex analyses and deeper insights, we recommend Claude 3.7 Sonnet

  4. For research tasks during a call, Perplexity Online provides real-time information

  5. Use the meinGPT Data Vault for context-rich processing:

  6. Integrate product manuals, FAQ documents and internal knowledge bases

  7. Store call guidelines and compliance requirements

  8. Update the Data Vault regularly to keep it current

  9. Work with meaningful variables:

  10. Use variables such as {{CustomerName}}, {{CustomerNumber}} and {{CallType}} in your workflows

  11. Consider which dynamic information you want to extract from each call

  12. Start with simple workflows:

  13. Begin with automatic call summarisation as your first use case

  14. Gradually expand to more complex scenarios such as real-time support

  15. Optimise your prompts:

  16. Formulate clear, precise instructions for the AI

  17. Test different prompt formulations to achieve optimal results

  18. Make use of document output:

  19. Configure the automatic creation of structured reports for each call

  20. Use different output formats for different purposes (.docx for detailed reports, .xlsx for data analysis)

Frequently asked questions about the Aircall–meinGPT integration

Question: How secure is the transfer of call data between Aircall and meinGPT?
Answer: When using Aircall and meinGPT, all the necessary security mechanisms are already built in. Data transfer is encrypted, and since meinGPT is fully GDPR-compliant and hosted in Europe, your sensitive customer data stays protected.

Question: Can I also use the Aircall–meinGPT integration for outbound calls?
Answer: Absolutely! The integration works for both inbound and outbound calls. Sales teams, for example, can make all outbound calls directly from the CRM while simultaneously benefiting from AI-powered analysis and documentation.

Question: What are the technical requirements for the integration?
Answer: You need a fast broadband internet connection (at least 64 kBit/s) and an IP-capable router. You'll also need an Aircall account and access to the meinGPT platform.

Question: Can I keep using my existing phone numbers?
Answer: Yes, you can keep your usual phone numbers. Aircall lets you retain your existing numbers or set up new local numbers in over 100 countries.

Question: How will my staff be trained to use the new solution?
Answer: meinGPT offers comprehensive training for your teams. A specialised support team is also available for questions. The intuitive user interface of both systems typically allows for a quick learning curve.

Question: Which CRM systems can I connect with the Aircall–meinGPT integration?
Answer: Aircall integrates with over 80 major CRM systems, helpdesks, marketing software, chatbots, e-commerce platforms and more. The Make integration allows connection to virtually any system with an API interface.

Conclusion

Integrating Aircall and meinGPT represents a quantum leap for phone-based customer communication. By combining the powerful cloud phone system with intelligent, GDPR-compliant AI workflows, businesses can not only boost their teams' efficiency but also significantly improve the customer experience.

Aircall itself describes this kind of "crossover" functionality between apps as one of the greatest resources for customers. The simple yet powerful exchange of information between business tools makes work more productive and, hopefully, more enjoyable for users. Connecting with meinGPT takes this information exchange to a new level by adding artificial intelligence for analysis, processing and automation.

The GDPR compliance of this solution deserves particular emphasis. While many AI applications transfer data to the US or other regions, meinGPT's European hosting guarantees the highest data protection standards – a decisive advantage for businesses working with sensitive customer data.

Take the next step with meinGPT

Ready to take your telephony to the next level with AI workflows? Explore the possibilities of the meinGPT platform and discover how integrating with Aircall can revolutionise your customer communication:

Optimise your customer communication today with the powerful combination of Aircall and meinGPT workflows!

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