How Does AI Phone Automation Benefit Enterprise? 

1. Artificial intelligence

AI functions as the brain of automation that helps systems conduct tasks smoothly like humans. Its core functions are: 

• Understanding language: AI now has an ability to understand and respond to humans and make these interactions more intuitive. All thanks to Natural Language Processing. 
• Pattern recognition: AI can go through a huge amount of data to detect the trend and anomalies. It further helps in making informed decisions. 
• Problem solving: Machine learning makes AI capable of learning from past mistakes and improving them. 

2. Business project management

BPM is primarily responsible for automating workflow. When you combine it with AI it can result into: 

• Increased agility: Businesses can change quickly with the market and operational demands. 
• Error reduction: When you automate business processes it leads to lesser mistakes and better consistency. 
• Enhanced productivity: Streamlining workflows help you save money and enhance the experience of employees. 

3. Robotic process automation

RPA helps in automating repetitive tasks such as customer support and routine inquiries. Its key aspects are: 

• Task automation: AI bots can easily perform tasks such as data entry, processing invoice, and completing forms. All of this is done accurately. 
• Integrating AI: When you combine robotic process automation with AI it can even handle more complex tasks necessary for making decisions. 

In case you are thinking of AI phone automation for your business feel free to check our solutions page!

1. Unmatched efficiency

AI systems are developed capable enough to complete tasks faster than humans. Hence they provide better productivity and improvement irrespective of sectors. For example, AI driven robots are never tired. They keep on operating without fatigue and complete tasks in a noticeably lesser time. 

2. Scalability

The most crucial reason to use AI phone Automation is its scalability. These tools can scale operations and grow with your business. For example during peak hours AI becomes capable of handling any number of calls and reverting to them with the same consistency. It is seen that businesses that leverage AI can scale their business without increasing operational costs. 

3. Better accuracy

AI phone automation is the best choice when it comes to precision and accuracy. Hence it is necessary for data intensive tasks. AI can process a vast amount of data without commuting error. It can enhance the quality of output in areas such as finance and quality control. 

4. Cost savings

When you automate your repetitive tasks it can lessen costs in both labor and operations. Businesses can also possibly reduce the labor costs by 30% as per experts through usage of AI. You will not have to hire an extra staff just repeating the same line in customer service as AI can do it for you.

5. Better customer experience 

AI systems are now equipped with sentiment analysis and can understand customer behaviour easily. Hence they can provide them with personalized recommendations. For example they can access your CRM and stored data to suggest the exact service your consumer is searching for. 

1. Get ready with your use case 

To make AI useful in your enterprise you will have to initially start by defining your use case. Research where AI phone automation can add value. You can try automating customer service, data process, predictive maintenance and more. Having a clear idea of use can make better application of resources and efforts.  

2. Check feasibility 

If you have chosen your use case, check for the feasibility as the second step. Factors like availability of data, complexity and ROI are also necessary. Hence it can help you check if it’s worth investing or not. 

3. Get a data strategy 

Data is the core of AI phone automation. Hence having a strategy for collection, storage and management of data is a must. Make sure your CRM has high quality and relevant data. It is because AI relies heavily on data training. Also comply with necessary rules and regulations to govern security and integrity of data. 

4. Select tools and frameworks 

After identifying use cases you will have to finalize upon the framework and the tools to be used. You have to choose tools that you want to employ which includes machine learning, natural language processing and RPA tools. It means choosing a provider like Botphonic AI that helps you develop your AI model without getting into more technicalities. Conduct an AI phone automation comparison enterprise research before making final choice. 

5. Design workflow 

Now you have to design a workflow which will define the capabilities of your AI into the present process. It will include everything from how AI will interact with systems, make decisions and outline roles of human operators and automated systems. 

6. Develop and train AI models 

Now once you have made primary decisions it’s time to build and train your AI phone automation tool. It includes selecting the right algorithms, engineering details, and using the data to train your model. Once it’s ready you have to test models to ensure that it meets your standards. 

7. Integrate AI with your in-house systems 

After your AI model is ready you have to integrate it with your existing systems. AI assistants developed by Botphonic are capable of seamlessly integrating with existing systems. It can include API development, or direct integration. It ensures that data flows smoothly between systems for an effective AI output.