How Does Conversational AI Help Business Continuity?
- Nara Hari
- Nov 10, 2022
- 4 min read
Updated: Feb 6, 2023
Artificial intelligence (AI) is the branch of computing concerned with creating intelligent machines to reduce operational constraints. In the context of business continuity planning, AI automates recursive procedures and makes informed decisions based on data collected from various sources.
Business Continuity Plan (BCP) is a set of procedures designed to ensure the uninterrupted operation of critical systems and processes when unexpected events occur.
It helps organizations prepare for and recover quickly from disruptive situations. Conversational AI can help companies establish a reliable BCP to recover, restore, and resume normal operations after a disruption. These plans should include all aspects of your business like IT infrastructure, human resources, finance, marketing, and sales.
Customer service during a disaster is a challenge for any company. Customers expect immediate responses to their queries and complaints. During natural disasters, there may be power cuts, and communication issues. These factors make it difficult for companies to provide satisfactory services to customers.
However, conversational AI can help in mitigating these challenges. Conversational AI helps in providing better customer service by understanding the context of the conversation and responding accordingly. It can also help in reducing the time taken to resolve customer queries and complaints.
Let's find out How?
Streamlining Chatbots and Remote agents
Business continuity has been significantly improved by breaking down the barriers between humans and chatbots, and the array of solutions that leverage cloud-based artificial intelligence and machine learning capabilities have been a useful addition.
Furthermore, AI-based conversational chatbots have improved operational efficiency by reducing the dependency on a customer center executive's physical presence by making remote work seamless.
Businesses can use AI-based chatbots to automate a variety of tasks by leveraging AI, machine learning, natural language processing, and other capabilities.
For example, companies can train their chatbots to handle routine queries and FAQs like customer login issues, profile changes, shipping details, and payment problems.
Also, these AI-powered chatbots can assist customers in finding and ordering products, recommending relevant product updates and features, booking tickets, and more.
Improving Customer Center Operational Efficiency
Understanding your customer's needs is key to identifying where you create value for them, allowing you to prioritize and discern how much downtime is manageable in different areas before impacting your business and how fast you should be up and running again.
With AI chatbots, maintaining business continuity becomes much easier to design and implement starting with a customer perspective.
Backup Management
The perception of threats increases with global connectivity increases.
Strategic, off-site, and off-network backups are the only effective recovery methodology for ransomware. While there may be some discrepancy between your last backup and when the data lockdown occurred, most data is typically recoverable.
Remote and secure servers, help businesses to maintain the integrity of customer data even if there is a security breach at their local server.
But by strengthening online security parameters with cloud-based AI chatbot solutions customer data safety can be ensured, and maintaining business continuity helps businesses mitigate the issue.
As a result, it also reduces data loss and increases data points for gaining insight into customers, thereby improving business efficiency.
Improving Client Experiences
Companies can enhance the relevance of their products and offerings to customers by using AI for business continuity.
As a result, it can help businesses optimize their processes and increase customer engagement rates by analyzing customer intent, and motivations and solving hidden interdependencies that affect business growth.
Incorporating AI-based chatbots in operational processes helps in enhancing business intelligence by integrating these chatbots into existing CRM to generate a 360-degree view of customers using their data.
As a result, it helps businesses improve their marketing and sales outreaches with relevant recommendations, feedback inquiries, and other interactions that boost customer loyalty.
Few more crucial tasks an AI Chatbot can do on Your behalf to ensure BCP?
Let's see everything in detail
Cloning
The term cloning refers to the process of creating copies of data or programs. It is used when referring to the creation of exact replicas of existing data or programs. This may include copying files, directories, folders, applications, and operating systems among others.
Artificial Intelligence and Machine Learning algorithms are used to teach chatbots how to perform tasks like cloning, performing calculations, and even learning new skills.
The most common way to train these bots is through reinforcement learning. This method involves teaching the detailed environment of existing systems and the ways to replicate them.
Sanity Checks
Sanity Checks are a type of testing which is done before the release of the software. It helps to check if there are any bugs or errors in the program. This kind of testing is done to ensure that the program works properly without any errors.
The chatbot will check if there are any changes made to the cloned environment and if the cloned environment is up to date.
This way, the bot can ensure that the cloned environment is ready for use. It will also make sure that the user hasn’t made any mistakes when cloning the environment.
Run Clone
In the context of software development, Chatbots are used to create multiple instances of a program or application. This may involve copying the source code of the original program or simply running the original program on a new machine.
In the context of computing, it is used to describe copying a virtual machine image onto multiple physical machines. This allows developers to test software on multiple platforms without building separate versions of the application.
Virtual Window to Verify the Clone
The chatbot generates a virtual window to verify if the clone is real.
The chatbot uses the information provided by the user to create a virtual window to verify if the clone is genuine.
Validate the clone
The bot verifies the clone before proposing a window for the end user, the bot will ask for end-user validation and feedback before closing the cloning process.
This ensures the bot to learn from end-users inputs for the next similar task.
ML is used by the bot to improve the cloning process and validation.
Conclusion
When choosing an Ai chatbot for assisting your BCP, the most important aspect to consider is its technological prowess.
The chatbot has to be optimized to meet the Recovery Time Objective(RTO) maximum acceptable downtime, and Recovery Point Objective (RPO) acceptable time to restore the solutions.
It is important to ensure that the chatbot can identify the disaster and implement the recovery plan and the impact that it may have on business outcomes.
Click here to Know more aboutYourbizBot ⓒ and how it can be used to implement your Business Continuity Plan.
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