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CoT Monitoring: Can We Really Know What AI Is “Thinking”
Agentic AI makes decisions autonomously, and Chain-of-Thought (CoT) monitoring reveals its reasoning. As agentic AI is deployed, CoT monitoring ensures transparency and auditability. Can we truly see what AI “thinks”? This blog explores that.
13 Best AI Agent Platforms for Customer Support in 2025
A smart AI agent handles support requests instantly—even at 2 a.m.—keeping customers happy while human teams rest. As ticket volumes soar and expectations rise, AI agents boost speed, consistency, and 24/7 coverage. This list showcases 13 top AI agent platforms for customer support in 2025 and why they stand out.
CX Security in the Age of AI: Preventing Data Leaks in Conversational Systems
Conversational AI is powerful—but risky. One misstep can leak sensitive data. As adoption grows, so must security. Here’s how to protect CX in the age of AI.
Why MCPs Could Be the Most Important Layer in Enterprise AI?
Enterprise AI is now mission-critical—but fragmented systems are holding it back. Model Context Protocol (MCP) brings shared context across AI models, enabling smarter, scalable, and more resilient enterprise AI. Here’s why it could be the most important layer yet.
Prompt Injection Risks in AI Systems and How to Defend Against Them
Prompt injection is a rising threat in AI systems, allowing attackers to manipulate how large language models respond. This blog explores how it works and the strategies to defend against it.
The Prompt Whisperers: How Prompt Engineering is Evolving Customer Support
Many CX teams are betting on vague, overconfident AI strategies that miss real-world support needs. This blog unpacks how Prompt Whisperers are changing the game with precise, scalable prompt engineering.
What Frontier Models Can (and Still Can’t) Reason About
Frontier models sound promising, but most fail at logic, not language—risking customer trust. This blog reveals where AI delivers and where it still falls short.
The A2A Protocol: Future of Agent Interoperability
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.
Synthetic Data Generation: The Ethical Solution to Training CX AI with Limited Customer Data
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.
Voice AI’s Role in Improving SLA Adherence for Customer Support
Did you know poor SLA adherence could be costing you your customers and millions in […]