Your AI Strategy Needs a CFO, Not a Fan Club

Your AI Strategy Needs a CFO, Not a Fan Club

Are you treating your AI strategy like a popularity contest? In this episode, we break down our latest research on 28 LLMs and explain why "celebrity" models are often a liability for the Cognitive Enterprise. Key Learnings: * The ROI Trap: Why using a trillion-parameter model for menial data extraction is killing your budget. * The API Burden: How to avoid the massive development cycles triggered by model deprecation. * Dynamic Orchestration: Using Krista to select models based on speed, accuracy, cost, and risk in real-time. Continuous Learning: Why GenAI alone can't learn your business, and why you need a platform that does. More at krista.ai [https://krista.ai/]

Building a Cognitive Enterprise

In this episode, Scott, John, and Chris explain what it takes to build a cognitive enterprise—a business with memory, reasoning, and action. We reject the idea of adding AI for AI’s sake. Instead, we show you how to create an organizational brain that weaves systems, humans, and models into a unified, intelligent whole.  🔍 What you'll learn: * Why AI initiatives often fail and how to avoid fragmentation * The three core functions your organization must master: memory, reasoning, and action * A step-by-step approach to build cognitive capability, starting small and scaling smart * How to platform AI agents so they share memory and context * Real-world business implications, from operations to approvals * Why “technology should be invoking us, not the other way around”  🎯 Who this is for: * VPs of IT, CIOs, digital transformation leaders, AI architects, growth executives — anyone tasked with making AI meaningful rather than simply busy. 👉 If you’re tired of isolated AI pilots and ready to think with AI instead of chasing hype, this episode is for you. More at krista.ai [https://krista.ai/]

Crossing the GenAI Divide and Unlocking Real Value

A recent MIT report found that only 5 percent of generative AI projects deliver measurable ROI. The rest collapse under complexity, lack of memory, and poor alignment with business outcomes.  In this podcast, we break down why companies often struggle with AI adoption and what leaders can do to succeed. You’ll learn:  - Why personal productivity with GenAI tools doesn’t translate to enterprise success  - The risks of shadow IT and siloed deployments  - Why building your own AI platform rarely works  - How companies can leverage their agility to find early wins  - The role of agentic platforms in scaling AI across the enterprise  - A real-world case study from Doc Prep 911 showing measurable ROI  If you are an executive looking to cross the GenAI divide and unlock real value, this video provides a practical playbook.  👉 Read the full article here: https://krista.ai/crossing-the-genai-divide-and-unlocking-real-value  👉 Learn more about how Krista helps enterprises adopt AI: https://krista.ai More at krista.ai [https://krista.ai/]

Choosing the Right Agentic Platform

Scott King, John Michelsen, and Chris Kraus discuss key insights from the report Choosing the Right Agentic Platform. They break down what separates true agentic platforms from chatbot tools and task bots that create more fragmentation than value. Learn why orchestration, integration, machine learning, and built-in enterprise features are essential for sustainable AI adoption. See how Krista enables organizations to run complex, cross-functional workflows with AI, people, and systems working together at machine speed. Download the full report here: https://krista.ai/choosing-the-right-agentic-platform/ More at krista.ai [https://krista.ai/]

You DO Want AI Training on Your Data

Most business leaders say they don’t want AI training on their data—but what they really mean is they don’t want to lose control. In this episode, we explain why the only way AI delivers real value is by learning your business: your documents, your processes, your language, and your priorities. We break down the difference between exposing data and improving outcomes, and why generic AI won't scale. You’ll hear how AI that understands your workflows can anticipate needs, suggest actions, and drive results—without writing endless prompts or building from scratch. If you’re still treating AI like a tool that needs babysitting, it’s time to rethink the strategy. Topics covered: * Why blocking AI from learning limits your ROI * The risks of generic intelligence in enterprise settings * How to train AI like you train your people * Real-world examples of AI reinforcing strategy by learning context Learn how to make AI work for your business—starting with your data. Listen now and subscribe for more episodes on making AI work in the enterprise. #AI #EnterpriseAI #Automation #BusinessIntelligence #AgenticPlatforms #AITraining #LLM #ProcessAutomation #DigitalTransformation More at krista.ai [https://krista.ai/]