https://youtu.be/pv7sFh2sHfs Conversational AI Talks, But It Doesn’t Solve Anything Many companies have deployed AI chatbots that sound smart but stop short of actually doing the work. When a customer asks, “Why is my bill so high?”, the bot might generate a vague response or escalate the issue to a human. That’s not the automated outcome …
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 …
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 …
Why AI Agents Are Like Teenagers and What That Means for Your Business The AI world is buzzing about “agents”—autonomous digital helpers that promise to operate across systems, orchestrate complex tasks, and deliver business outcomes with minimal supervision. Many agent demos showcase impressive capabilities, with AI agents navigating websites, filling out forms, processing documents, and handling …
Later this month, our team is heading to Las Vegas for the Channel Partners Conference & Expo (March 24-27, 2025, at The Venetian Resort)—the world’s largest independent channel event. Why? The buzz around AI agents. The excitement is impossible to ignore, but amid the hype lies a challenge: AI agents are multiplying fast, and businesses …
