The race to adopt AI has flooded enterprises with chatbots, copilots, and isolated agents. What began as innovation is now sprawling into disconnected tools that fail to produce real outcomes. In a recent conversation with John Michelsen and Chris Kraus, we outlined the key findings from the report “Choosing the Right Agentic Platform.” The report …
by Scott King 
Empower your agents to resolve issues in minutes. Frustrating hold times and slow resolutions happen because agents must manually hunt for information across different systems. This use case demonstrates how an AI assistant eliminates that bottleneck. See how providing your team with instant, synthesized answers from all your applications allows them to solve complex problems with speed and precision.
by Scott King 
A global manufacturing company with a long history of acquisitions faced a monumental knowledge management challenge. Thousands of documents and millions of data points were nearly impossible for engineers and support staff to navigate, causing project delays and straining expert resources. To solve this, the company deployed a sophisticated, custom-branded AI assistant powered by Krista to provide instant, conversational answers from its vast documentation.
by Scott King 
When customers have complex billing questions, simple chatbots fail, forcing long waits for human support. This use case demonstrates how Krista takes full ownership of the process. See how Krista analyzes data, identifies billing anomalies, and delivers a complete resolution directly to the customer.
by Scott King 
The Scalability Crisis Facing Modern Enterprises Technology often fails to keep up with business growth. Automation that’s supposed to streamline operations becomes a patchwork of disconnected systems and rigid workflows. These tools drain resources and limit flexibility. What starts as a solution becomes another obstacle to growth and deploying AI. Growth introduces new workflows, compliance …
by Scott King 
AI That Never Learns Many people fear having AI train on their data because they don’t want to lose proprietary data in public LLMs. So they say, “I don’t want AI training on my data.” But that’s exactly what they want—they just don’t realize what they’re saying. What they mean is they don’t want to give up …
by Scott King 
Businesses operate in intricate environments where human expertise, legacy systems, and AI must work together to drive results. Deploying AI in isolation leads to inefficiencies, forcing employees to handle gaps between technology and operations. The solution lies in agentic platforms integrating AI into automated workflows across enterprise systems, enabling faster, smarter decision-making. AI alone cannot …
by Scott King 
The Hidden Power of Your Meetings It’s Monday, and your inbox is clogged with meeting summaries—Zoom calls, Teams updates, customer huddles. Your team records everything, but the data scatters across silos, leaving action items untracked and insights buried. For operations executives, this is a familiar frustration. Recording tools capture discussions, yet their potential stays locked …
by Scott King 
When Anthropic introduced the Model Context Protocol (MCP) in November 2024, it triggered a wave of hype. YouTube videos, blogs, and tweet threads all chimed in to say: this is the future of AI integration. And in many ways, it is. But in our latest conversation, I wanted to step beyond the hype and ask: What …
by Scott King 
The Sticker Shock of OpenAI’s AI Agents OpenAI recently announced that its specialized AI agents could cost $2,000 to $20,000 per month.¹ For businesses eager to adopt AI, this triggers immediate sticker shock. Spending up to a quarter-million dollars per year for a single AI agent seems excessive—especially when today’s AI still struggles with basic reasoning tasks. Naturally, many …
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