Pranav Ramkumar

In 2025, 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.

Siloed conversations and lost context leave customers like Priya repeating themselves—and walking away frustrated. The real issue isn’t tech, but the lack of memory in AI systems. This blog explores how solving the memory gap can turn support into a more human, connected experience.

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.

In B2C support, gauging sentiment is relatively straightforward. You’re usually hearing from one person, expressing […]

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We’ve all been here. You type out a long question to ask a chatbot, hit […]

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