Conversational AI for Enterprises: Scale with Efficiency & Agility

Conversational AI: Scaling Modern Enterprises with Efficiency and Agility

In an era marked by rapid digital transformation, businesses face the dual challenge of meeting increasingly high customer expectations while maintaining operational efficiency. Conversational AI, powered by advancements in artificial intelligence and integrated communication platforms, offers a practical solution to these challenges. This blog examines the fundamental principles and operational advantages of conversational AI, highlighting how it enables enterprises to scale their operations, drive efficiency, and deliver enhanced customer experiences.

The Changing Landscape of Customer Engagement

Today’s customers expect seamless, real-time interactions across a variety of channels—ranging from messaging apps and social media to voice assistants and live chat. For enterprises, delivering consistent, personalized service at scale requires more than traditional call centers or static self-service portals.

Conversational AI platforms use technologies such as machine learning, natural language processing (NLP), large language models (LLM), and data analytics to automate and enhance customer interactions. These platforms enable businesses to manage large volumes of inquiries without compromising quality or speed.

Infobip’s recent research on the CX maturity of organizations reveals that businesses implementing conversational AI automation experience significant improvements in customer satisfaction and experience (CX). Lower-maturity companies often rely on basic tools, such as FAQ automation. At the same time, more advanced organizations with higher maturity levels utilize conversational AI systems to deliver personalized support and resolve complex issues.

  • 89% of brands automate customer interactions with a focus on customer satisfaction.
  • 70% of brands use AI chatbots, yet 73% rely heavily on human agents.

Key Benefits of Conversational AI for Enterprises

  • Automation of Routine Tasks: Intelligent chatbots and virtual assistants can resolve common queries, process transactions, and guide customers through troubleshooting steps. This reduces the workload on human agents, enabling them to focus on complex or sensitive issues.
  • Omnichannel Engagement: Modern conversational AI systems are designed to operate across multiple channels, enabling customers to reach support teams through their preferred platform, whether WhatsApp, SMS, web chat, or social media.
  • Personalization at Scale: AI-driven platforms analyze customer data and interaction history to deliver personalized recommendations, reminders, and support tailored to each individual. This tailored approach can improve customer satisfaction and foster loyalty.
  • Real-Time Adaptability: These systems can adjust responses to changing customer needs, seasonal fluctuations, and unexpected demand surges, helping businesses remain responsive and resilient.

Operational Excellence through Conversational AI

By integrating conversational AI into their workflows, organizations can realize significant operational improvements:

  • Scalability: With robust infrastructure—such as global data centers and a distributed office network—AI platforms can handle millions of interactions per month. This ensures that as a business grows, its ability to engage with customers scales accordingly.
  • Cost Efficiency: Automating repetitive tasks directly reduces operational expenses. Deflecting inquiries from live agents to AI-powered chatbots enables organizations to manage higher volumes without incurring proportional increases in cost.
  • Actionable Insights: AI platforms collect and analyze data from every customer interaction, providing businesses with valuable insights into customer preferences, pain points, and emerging trends. These insights help optimize processes, refine products, and improve overall service quality.

Use Cases Across Industries

Conversational AI is not limited to a single sector. Its versatility enables value creation across:

  • Banking: 24/7 support, personalized financial advice, and secure transaction handling.
  • Retail: Product recommendations, instant order updates, and real-time customer support. NIVEA’s #MyCocoaShade campaign achieved outstanding results by utilizing a WhatsApp chatbot to engage consumers in Nigeria and Kenya. With 207% of their target reached, NIVEA received over 500 photo submissions and added 2,772 new consumer profiles. This digital engagement and traditional marketing reached 250,396 people and boosted brand presence.
  • Healthcare: Apollo 24/7, a leading healthcare provider in India, enhanced customer experience by 95% through appointment scheduling, automated reminders, and patient support via chat or voice.
  • Travel and Hospitality: Booking assistance, itinerary updates, and multilingual support for travelers.
  • Insurance: Streamlined claims processing, policy information, and proactive customer communication. With 90% of queries resolved in just 3-5 messages, LAQO, the first digital insurer, was able to handle 30% of customer inquiries on the WhatsApp Business platform. Automation cut contact center effort by 10%, freeing human agents to handle complex cases and focus on customer acquisition. The system processes claim within 24 hours to boost efficiency and customer satisfaction.

Challenges and Considerations

While the benefits are substantial, successful implementation of conversational AI requires attention to several factors:

  • Integration: Seamless integration with existing enterprise systems (such as ERP, CRM, or legacy infrastructure) is crucial for maximizing the value of AI solutions.
  • Security and Compliance: Ensuring data privacy and meeting regulatory requirements (e.g., GDPR, HIPAA) must be a priority when designing and deploying conversational AI platforms.
  • Continuous Improvement: Regular monitoring and updating of AI models are necessary to ensure relevance and accuracy as customer needs and behaviors evolve.

Capabilities and Value Delivered by Tech Mahindra and Infobip

At the intersection of AI innovation and enterprise integration, companies like Tech Mahindra and Infobip have contributed to the mainstream adoption of conversational AI:

  • Tech Mahindra: With deep expertise in digital transformation, Tech Mahindra supports businesses in designing conversational AI strategies, developing custom chatbots and virtual agents, and integrating these tools across industry-specific workflows. The company emphasizes secure, compliant deployment and continuous optimization, helping clients achieve measurable improvements in customer engagement and operational efficiency.
  • Infobip: A global cloud communications platform that enables businesses to build connected experiences across all stages of the customer journey. Accessed through a single platform, Infobip’s omnichannel engagement, identity, user authentication, and contact center solutions help businesses and partners overcome the complexity of consumer communications, enabling them to grow their business and increase loyalty. It offers natively built technology with the capacity to reach over seven billion mobile devices and is connected to over 9,700+ connections.

The Conversational AI Advantage

As the digital revolution accelerates, enterprises cannot afford to stand still. The demand for operational excellence and the ability to Scale at SpeedTM has never been higher. Across banking, retail, healthcare, and travel, the fusion of AI, automation, and intelligent engagement is redefining the future. The Tech Mahindra and Infobip partnership is more than a collaboration—it's a catalyst for transformation, empowering organizations to lead in the digital era.

Together, these organizations have enabled enterprises to modernize customer engagement, streamline operations, and achieve sustainable growth by leveraging conversational AI. By combining robust communication infrastructure with strategic implementation expertise, they help businesses deliver faster, smarter, and more personalized service to their customers.

Are you ready to elevate your business? Discover how Tech Mahindra and Infobip can help you achieve operational excellence, scale at speed, and build meaningful customer relationships, all powered by the limitless potential of conversational AI.

About the Author
Saurabh Jha
Saurabh Jha
SVP and Global Head – Data and Analytics, Tech Mahindra

With over 24 years of global experience, Saurabh has worked across India, Europe, the UK, and the US. He leads Tech Mahindra’s Data and Analytics (D&A) practice, which helps enterprises strategize, design, implement, and deliver data and analytics, cloud-based data, and AI-related transformation initiatives.Read More

With over 24 years of global experience, Saurabh has worked across India, Europe, the UK, and the US. He leads Tech Mahindra’s Data and Analytics (D&A) practice, which helps enterprises strategize, design, implement, and deliver data and analytics, cloud-based data, and AI-related transformation initiatives. He has a wide experience ranging from setting up new teams and practices, planning and executing go-to-market strategies, leading global alliances, and advising customers on effective alignment between their business goals and the latest digital technologies. Previously, he held strategic roles at Oracle, KPMG, and Mphasis, where he advised clients across industries and spearheaded regional expansions.

Read Less
Miguel Turnbull
Senior Director, Global Partnerships, Infobip

Miguel Turnbull is the Senior Director of Global Partnerships at Infobip. With extensive experience in the CPaaS industry, Miguel has worked across both regional and global markets, collaborating with clients and partners to drive innovation and growth. His expertise spans across the entire technology ecosystem, from supporting partners who develop their own intellectual property to leveraging hyperscaler infrastructure for key service companies.Read More

Miguel Turnbull is the Senior Director of Global Partnerships at Infobip. With extensive experience in the CPaaS industry, Miguel has worked across both regional and global markets, collaborating with clients and partners to drive innovation and growth. His expertise spans across the entire technology ecosystem, from supporting partners who develop their own intellectual property to leveraging hyperscaler infrastructure for key service companies. Miguel has partnered with leading organizations such as Oracle, Microsoft, AWS, Salesforce, and others, making him an esteemed leader in building strategic alliances and fostering digital transformation.

Read Less