In 2025, enterprises face an overwhelming challenge i.e, maintaining agility and precision while managing increasing customer demands. Traditional AI Agents, while helpful, often fall short in delivering the seamless collaboration and adaptability modern businesses require.…
Every AI agent must have a specific goal, especially when used in enterprise operations, sales, or customer support. But why is goal-setting so critical? Because generic AI agents without clearly defined goals often fail to…
The RBI recorded a jaw-dropping 166% rise in fraud cases during the financial year 2023-24? It’s a wake-up call for the banking industry. Fraudsters are finding more ways to exploit digital vulnerabilities, and the risk…
Artificial Intelligence is stepping up its game. And it’s not just about smarter chatbots or better product recommendations anymore. The buzz is around Agentic AI, a new type of autonomous agent that can think, act,…
Brief Introduction to Bias in AI: The adoption of Generative AI solutions is transforming industries, from customer support to healthcare, collections to retail. Businesses are leveraging these technologies to enhance efficiency, streamline operations, and deliver…
The insurance industry has historically been cautious in adopting cutting-edge technologies. However, the rise of automation and Generative AI has dramatically increased customer expectations. Today, customers expect efficient, personalized, and empathetic interactions across every touchpoint.…
For businesses integrating AI across touchpoints, few challenges are as frustrating as "hallucinations" in AI-generated responses. Imagine a situation where your AI agent, when asked a specific customer query, provides a misleading or nonsensical response.…
According to a recent report by Accenture, artificial intelligence (AI) has the potential to increase business productivity by up to 40%, showing that AI-driven solutions are more than a trend—they’re becoming essential tools for growth.…
Large Language Models (LLMs) have made remarkable strides in understanding and generating human-like conversations. However, businesses considering AI adoption often hesitate due to a critical challenge: hallucinations. These occur when LLMs generate reasonable-sounding but incorrect…
Today’s contact centers handle millions of interactions, generating an immense volume of data every hour. Auditing every call manually is labor-intensive and costly, so most quality assurance teams rely on sampling to evaluate across channels.…