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How Voice AI Solutions Address the AI Expertise Shortage in SMBs

Brief introduction to the challenge SMBs face regarding AI expertise and how voice AI solutions provide a way forward.
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Voice AI

Pre-Built, Plug-and-Play Solutions

Voice AI platforms offer unique solutions by providing pre-built tools that businesses can easily integrate into their operations without the need for technical AI development. These platforms typically feature simple user interfaces, templates.

For instance, tools like Google Dialogflow and Amazon Lex are prime examples of these types of solutions.

Low-Code and No-Code Platforms

Low-code and no-code platforms are designed to help non-technical users to deploy and manage voice AI applications with little to no programming knowledge. These platforms simplify the process of creating AI-driven solutions by offering drag-and-drop interfaces, customisable templates, and pre-built workflows that allow users to design, configure, and launch voice applications quickly and easily.

Managed Services and AI as a Service (AIaaS)

AI as a Service (AIaaS) is a model where businesses can outsource the management, development, and maintenance of artificial intelligence solutions to specialised providers.

About AIaaS (AI as a Service)

What is AIaaS, and how does it work?

AI as a Service (AIaaS) is a cloud-based service model that provides businesses with access to Artificial Intelligence (AI) technologies and solutions without the need to build, manage, or maintain complex AI infrastructure or expertise in-house. AIaaS allows companies, especially small and medium-sized businesses (SMBs), to leverage AI tools and features for various applications such as customer service, marketing, sales, and operations, without needing to invest in the development process of AI. 

Do I need an in-house AI team to use AIaaS?

No, you do not need an in-house AI team to use AI as a Service. One of the primary advantages of this is that it eliminates the need for specialised AI expertise within your organisation. This is because AI providers offer out-of-the-box AI models that are already trained and optimised for business use cases.

What types of AI solutions are available through AIaaS?

AI as a Service (AIaaS) offers a wide range of AI solutions that cater to various business needs. These solutions are typically hosted on the cloud and can be easily integrated into your existing operations, making them accessible even for businesses without in-house AI expertise.

How easy is it to set up AIaaS solutions?

Setting up AI as a Service is generally easy and accessible, especially for businesses that don’t have in-house AI expertise. One of the primary advantages is that these platforms are designed to be user-friendly, scalable, and often require minimal technical knowledge for basic implementation. However, the ease of setup can depend on the complexity of the solution, the platform you choose, and the specific business needs.

Comprehensive Documentation and Support

Voice AI platforms are designed to be user-friendly and accessible, even for businesses without technical expertise. One of the ways these platforms achieve this is by offering extensive documentation, tutorials, FAQs, and customer support, which simplify the implementation process for small and medium-sized businesses (SMBs).

Automation and Continuous Learning

Automation and Continuous Learning

Voice AI platforms offer automated training and continuous learning features that enable SMBs to keep their systems up-to-date and efficient without needing a dedicated data science team. These built-in capabilities ensure that the voice AI solution evolves and improves over time, all while reducing the need for manual intervention.

 

Voice AI Ecosystem Integrations

Integrating voice AI with existing business systems, such as CRM, helpdesk systems, or e-commerce platforms, is designed to be seamless and user-friendly. Many voice AI platforms offer pre-built integrations and simple APIs that significantly reduce the complexity of connecting these systems.

 

Affordable and Scalable Solutions

The pay-as-you-go pricing model is a key advantage for SMBs looking to implement voice AI solutions. This model allows businesses to pay only for the actual usage of the service, which makes it cost-effective and scalable.

This works by a pay only what you use system:

In a pay-as-you-go pricing model, SMBs are charged based on the volume of interactions or tasks the voice AI handles

 

Simplified Analytics and Insights

Voice AI platforms typically offer a range of built-in analytics and performance metrics designed to help businesses assess and develop their AI-powered voice solutions. These analytics provide valuable insights into how the voice assistant is performing and how users are interacting with it, without requiring technical expertise.

 

Community and Peer Learning

Many voice AI platforms offer active user communities, webinars, and peer learning opportunities, which can be great for SMBs looking to learn, share experiences, and get the most out of their AI solutions. These resources help businesses of all sizes connect with others, regardless of technical expertise, and learn about best practices, new features, and innovative use cases.

 

Vendor Expertise

Voice AI vendors often provide expert-driven solutions to ensure that businesses, including SMBs, can successfully implement and develop their voice AI systems. These services typically go beyond just providing the technology itself, offering a comprehensive suite of consulting, implementation services, and ongoing system optimisation to meet specific business needs.

 

Conclusion

Voice AI platforms offer SMBs accessible, scalable, and cost-effective AI solutions, empowering them to compete with larger enterprises without the need for in-house expertise.

These platforms provide fantastic solutions, easy integration with existing business systems, and flexible pay-as-you-go pricing models, enabling SMBs to start small and scale as they grow. With intuitive interfaces, automated training, and continuous learning capabilities.

Read Chapter 4. SMB’s on integrating with other systems