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.
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.
Converting customer support insights into billable services increases margin. Yet, for a leading HCM software company, complex Salesforce.com processes were a major hurdle, leaving potential income on the table. Discover how leveraging Krista’s AI transformed their support operations into a streamlined revenue engine, enhancing agent productivity and driving growth for the company.
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.
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 …
The meeting just ended. Decisions were made, tasks assigned, and promises exchanged. Now what? If you’re using Otter.ai, you have an accurate transcript with searchable text that captures who said what. For many teams, that alone feels like a win. The promise is simple: no more frantic note-taking or wondering what someone said three slides …
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 …
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 …
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 …
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 …
