AI story for CX Management – Don’t follow the herd blindly!
While AI is the buzzword today, the act of putting the cart before the horse is still anomalous.
Why it’s not advisable to jump into the deep end immediately.
Your ultimate goal is to utilize both automation and AI to provide the best possible experience for your customers. However, it’s important to recognize that automation should be considered as a foundation for AI, rather than viewing the two technologies as being equal partners.
- TuringBots will be responsible for writing 10% of the global code and conducting tests.
- One out of every four technology executives will provide reports to their respective boards on AI governance.
- 10% of Fortune 500 companies will use AI tools to create content.
- Firstly, automation allows your team to have the necessary time to work effectively with AI technologies.
- Secondly, automation facilitates data hygiene, which is essential for the optimal performance of AI. Maintaining good data quality is crucial for AI to thrive.
Now, Let’s find out how automation can save your data.
Automation and AI are both important tools that can help customer service teams improve their efficiency and effectiveness. However, mastering automation should be a priority before moving on to AI.
Here’s why:
- Automation can improve response times: It enables faster response times for customer service teams than manual methods. Automated email responses to common queries, for instance, can save time, provide quick and accurate responses, and boost customer satisfaction.
- Automation can help reduce errors: By automating repetitive tasks, customer service teams can reduce the likelihood of errors and mistakes. This can lead to improved customer satisfaction and loyalty. Eg. Click here in case you are interested to know that how TransMon enabled digital payment brand significantly improved their customer satisfaction with Improved customer resolution score.
- Automation can free up time for higher-level tasks: Automating routine tasks frees up time for customer service teams to focus on more complex and valuable activities, such as engaging with customers to understand their needs and concerns, and developing solutions for their problems.
Good data hygiene for AI
Data hygiene is important for AI because the accuracy and reliability of AI models depend on the quality of the data used to train them. If the data is incomplete, inconsistent, or contains errors, it can negatively impact the performance of the AI system. which unfortunately is the case today with most of the AI products available in the market.
Therefore, ensuring good data hygiene practices, such as data cleaning, validation, and normalization, is crucial to obtaining meaningful insights and achieving optimal AI performance.
AI paving the way for the future of customer support by enabling businesses to provide faster and more efficient service to their customers. With the help of AI technologies such as machine learning and natural language processing, businesses can automate routine tasks, such as answering frequently asked questions, routing inquiries to the right department, and providing personalized recommendations to customers.
According to the aforementioned Forrester report full report available , a significant number of enterprises have made substantial investments in AI and are experiencing favourable outcomes, which fuels additional investment in our ever-evolving intelligent digital colleagues. The rapid progress in what enterprise applications can achieve is constantly expanding and accelerating, and this upward trend will benefit all enterprises.
TransMon can aid in planning and promoting thoughtful consideration, leading to improved outcomes in the long run. With automation, enabling companies to save time and establish efficient data practices, thereby preparing the customer support teams for successful integration of AI in the future.
