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How is AI extending customer support during COVID-19 pandemic

4 minutes, 14 seconds read

With over 3 million confirmed cases of COVID-19 throughout the world and more than 200,000 deaths to date since the first report; coronavirus has spread wreaking havoc on any back-office operation, and more intensely on call centers throughout the globe.

For a couple of years now, organizations have only been theorizing the possibility of AI to enhance customer support. It was always a thing that could wait. However, now AI is proving to be a pressing matter over other priorities, and organizations are ready for widespread development than perhaps assumed.

Improved Customer Satisfaction

From banking to travel to finance; given reduced staffing and limited work-from-home options, the call center agents are overwhelmed by the influx of calls; for which the consumers are facing long latencies. These circumstances can, in turn, lead to a huge strain on the workforce and the industry as well. As businesses struggle to cover an increase in call volume, according to an old adage “necessity is the mother of invention.”, AI-enabled customer support has come to rescue. 

“People want what’s best for them, and they can switch on a dime because there’s always a new disruptor disrupting the last disruptor. So companies should just strive to keep changing and adapting to their customers’ needs.”

Ben Chestnut, Co-founder & CEO of MailChimp

AI has the capability of revolutionizing the relationship between a company and it’s clients. 64% of consumers and 80% of business buyers said that they want companies to interact with them in real-time. AI in customer support today can provide significant cost saving, triage calls on priority, volume elasticity, and meet customer expectation; that will eventually benefit the business in the long term.

Primary Concerns

Due to the pandemic outbreak and prolonged lockdown periods in several countries, businesses are forced to transition to work from home models. However, companies are not in favour of giving access to sensitive data to its employees outside the office premises. Along with privacy concerns, there are mobility concerns with the call center operations. Theoretically, technology can simplify mobility solutions. In a developing country like India, where only 2-3% of people use wired broadband and the majority of users rely on mobile data, uninterrupted internet connection is a real struggle.

“Now more than ever, customers need fast responses and AI and Automation can help”

Gadi Shamia, CEO of Replicant.

AI in Customer Support

Artificial intelligence in customer service is extremely useful to answer FAQs and resolve common customer support issues without the presence of a live agent. It can classify calls on the basis of options, business priorities and suggest solutions to the consumer according to their specific needs. Unlike the generation-old IVRs, the AI-enabled customer service, powered by NLP, shall understand the customer’s needs and allow him to converse as if he was speaking with a live agent. 

With the rising number of COVID-19 cases, customer queries at hospitals are increasing exponentially caused by high demand in consultation. To adapt to the situation, hospitals are turning to chatbots and virtual assistants. Here are some interesting use cases of AI in customer support bots.

Lili

Vozy’s Lili, is a conversational AI platform that provides customer assistance by alleviating pressure due to high call volume.

WHO Health Alert chatbot

The World Health Organization (WHO) has launched a dedicated messaging service, the WHO Health Alert chatbot to provide the latest news and information on COVID -19.

Read: How is technology helping to combat coronavirus pandemic?

Illinois

In partnership with Google AI, Quantiphi and Carahsoft created a 24/7 AI-enabled customer service bot, Illinois to provide immediate assistance to the filers with the FAQs.

Hitee

Hitee is the world’s first insurance specific chatbot solution. It allows integrating document processing workflows, ticket management systems, etc. to further simplify and automate customer support. Apart from 10x increasing customer interaction, Hitee also brought in new business leads and renewals for an eminent insurance company, Religare.

The crux

One fit for all is a myth now, even in customer support. AI-powered bots are proving to be revolutionary in customer support when it comes to customization of User Experience. Companies like Amazon, Starbucks and Netflix are implementing AI to track and analyse customer data and provide quick and easy resolutions to the customer problems. It also provides companies with deeper insights into the product based on demographic gender and various other factors.

AI-powered bots are capable of providing 24 X 7 customer support, more importantly after working hours and holidays. They prove to be not only cost-effective but also scalable throughout the enterprise. 

Customer support is the mainstay of any business. In these testing times, every call centre is under intense pressure due to the pandemic outbreak. Since customer expectations are higher than ever businesses are looking for advanced technological capabilities to bridge the gap. By adding AI-powered tools in customer support operations, businesses can not only improve customer experience but also have numerous business implications such as lower customer churn, higher revenues, less staff turnover and increased growth. If you need interfacing software for your specific business needs, please feel free to write to us at hello@mantralabsglobal.com.

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Platform Engineering: Accelerating Development and Deployment

The software development landscape is evolving rapidly, demanding unprecedented levels of speed, quality, and efficiency. To keep pace, organizations are turning to platform engineering. This innovative approach empowers development teams by providing a self-service platform that automates and streamlines infrastructure provisioning, deployment pipelines, and security. By bridging the gap between development and operations, platform engineering fosters standardization, and collaboration, accelerates time-to-market, and ensures the delivery of secure and high-quality software products. Let’s dive into how platform engineering can revolutionize your software delivery lifecycle.

The Rise of Platform Engineering

The rise of DevOps marked a significant shift in software development, bringing together development and operations teams for faster and more reliable deployments. As the complexity of applications and infrastructure grew, DevOps teams often found themselves overwhelmed with managing both code and infrastructure.

Platform engineering offers a solution by creating a dedicated team focused on building and maintaining a self-service platform for application development. By standardizing tools and processes, it reduces cognitive overload, improves efficiency, and accelerates time-to-market.  

Platform engineers are the architects of the developer experience. They curate a set of tools and best practices, such as Kubernetes, Jenkins, Terraform, and cloud platforms, to create a self-service environment. This empowers developers to innovate while ensuring adherence to security and compliance standards.

Role of DevOps and Cloud Engineers

Platform engineering reshapes the traditional development landscape. While platform teams focus on building and managing self-service infrastructure, application teams handle the development of software. To bridge this gap and optimize workflows, DevOps engineers become essential on both sides.

Platform and cloud engineering are distinct but complementary disciplines. Cloud engineers are the architects of cloud infrastructure, managing services, migrations, and cost optimization. On the other hand, platform engineers build upon this foundation, crafting internal developer platforms that abstract away cloud complexity.

Key Features of Platform Engineering:

Let’s dissect the core features that make platform engineering a game-changer for software development:

Abstraction and User-Friendly Platforms: 

An internal developer platform (IDP) is a one-stop shop for developers. This platform provides a user-friendly interface that abstracts away the complexities of the underlying infrastructure. Developers can focus on their core strength – building great applications – instead of wrestling with arcane tools. 

But it gets better. Platform engineering empowers teams through self-service capabilities.This not only reduces dependency on other teams but also accelerates workflows and boosts overall developer productivity.

Collaboration and Standardization

Close collaboration with application teams helps identify bottlenecks and smooth integration and fosters a trust-based environment where communication flows freely.

Standardization takes center stage here. Equipping teams with a consistent set of tools for automation, deployment, and secret management ensures consistency and security. 

Identifying the Current State

Before building a platform, it’s crucial to understand the existing technology landscape used by product teams. This involves performing a thorough audit of the tools currently in use, analyzing how teams leverage them, and identifying gaps where new solutions are needed. This ensures the platform we build addresses real-world needs effectively.

Security

Platform engineering prioritizes security by implementing mechanisms for managing secrets such as encrypted storage solutions. The platform adheres to industry best practices, including regular security audits, continuous vulnerability monitoring, and enforcing strict access controls. This relentless vigilance ensures all tools and processes are secure and compliant.

The Platform Engineer’s Toolkit For Building Better Software Delivery Pipelines

Platform engineering is all about streamlining and automating critical processes to empower your development teams. But how exactly does it achieve this? Let’s explore the essential tools that platform engineers rely on:

Building Automation Powerhouses:

Infrastructure as Code (IaC):

CI/CD Pipelines:

Tools like Jenkins and GitLab CI/CD are essential for automating testing and deployment processes, ensuring applications are built, tested, and delivered with speed and reliability.

Maintaining Observability:

Monitoring and Alerting:

Prometheus and Grafana is a powerful duo that provides comprehensive monitoring capabilities. Prometheus scrapes applications for valuable metrics, while Grafana transforms this data into easy-to-understand visualizations for troubleshooting and performance analysis.

All-in-one Monitoring Solutions:

Tools like New Relic and Datadog offer a broader feature set, including application performance monitoring (APM), log management, and real-time analytics. These platforms help teams to identify and resolve issues before they impact users proactively.

Site Reliability Tools To Ensure High Availability and Scalability:

Container Orchestration:

Kubernetes orchestrates and manages container deployments, guaranteeing high availability and seamless scaling for your applications.

Log Management and Analysis:

The ELK Stack (Elasticsearch, Logstash, Kibana) is the go-to tool for log aggregation and analysis. It provides valuable insights into system behavior and performance, allowing teams to maintain consistent and reliable operations.

Managing Infrastructure

Secret Management:

HashiCorp Vault protects secretes, centralizes, and manages sensitive data like passwords and API keys, ensuring security and compliance within your infrastructure.

Cloud Resource Management:

Tools like AWS CloudFormation and Azure Resource Manager streamline cloud deployments. They automate the creation and management of cloud resources, keeping your infrastructure scalable, secure, and easy to manage. These tools collectively ensure that platform engineering can handle automation scripts, monitor applications, maintain site reliability, and manage infrastructure smoothly.

The Future is AI-Powered:

The platform engineering landscape is constantly evolving, and AI is rapidly transforming how we build and manage software delivery pipelines. The tools like Terraform, Kubecost, Jenkins X, and New Relic AI facilitate AI capabilities like:

  • Enhance security
  • Predict infrastructure requirements
  • Optimize resource security 
  • Predictive maintenance
  • Optimize monitoring process and cost

Conclusion

Platform engineering is becoming the cornerstone of modern software development. Gartner estimates that by 2026, 80% of development companies will have internal platform services and teams to improve development efficiency. This surge underscores the critical role platform engineering plays in accelerating software delivery and gaining a competitive edge.

With a strong foundation in platform engineering, organizations can achieve greater agility, scalability, and efficiency in the ever-changing software landscape. Are you ready to embark on your platform engineering journey?

Building a robust platform requires careful planning, collaboration, and a deep understanding of your team’s needs. At Mantra Labs, we can help you accelerate your software delivery. Connect with us to know more. 

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