Pranav Ramkumar

In 2026, AI tools are everywhere—but when they feel too human, they enter the Uncanny Valley and create discomfort. The fix? Build AI that’s clearly artificial yet genuinely helpful and trustworthy.

When customers switch channels, they expect the conversation to follow. Without cross-channel context, experiences feel fragmented—and trust breaks down. This blog explores how preserving context is key to seamless, scalable omnichannel CX.

Customers still face fragmented support—repeating issues across chat, email, and calls—because AI agents don’t talk to each other. The A2A Protocol fixes this by enabling seamless agent-to-agent communication for a smoother customer experience.

Priya’s story isn’t unique—repeating the same issue to different agents is a common frustration. The real problem isn’t bad tech; it’s the lack of memory in customer interactions. This blog explores how fixing that gap can turn support from reactive to truly relational.

Training AI for customer support is challenging due to strict data privacy regulations. This blog explores how synthetic data offers a safe, realistic way to train CX models without risking compliance.

B2B sentiment isn’t one-dimensional. With multiple stakeholders and shifting priorities, reading tone isn’t enough. Since 64% of B2B buyers switch after one bad experience (Forrester), support teams need tools that grasp context, not just emotion.

In healthcare, every second counts — speed, accuracy, and empathy must work hand in hand. This blog explores how Large Language Models (LLMs) are transforming healthcare CX by enhancing precision, compassion, and patient satisfaction at scale.

We’ve all been there — asking a chatbot a simple question only to get a long, unhelpful answer. That’s changing with Agentic AI — the new era where AI doesn’t just talk, it takes action.

Each time we make a UPI payment, imagining a time without them becomes harder. From […]