An executive asked if Krista would favor his competitor. That question tells you everything about where the market actually is. Scott and John unpack the massive gap between AI vendor assumptions and enterprise buyer reality, with real customer stories that reveal how dangerous that gap can be.

What you'll learn:

• Why the median enterprise buyer scores 10 to 20 out of 100 on AI literacy
• The customer story that shows what "AI will learn from your people" actually means in practice
• Why tenant isolation matters and how to explain it in plain language
• The single best question to ask any AI vendor before signing a contract
• Why the AI industry is the biggest source of buyer confusion

More at krista.ai

Meeting note takers flood your inbox and bury knowledge in silos. An enterprise brain does the opposite. It connects meetings, email, chat, tickets, and systems of record into one shared memory that remembers, reasons, and acts.

In this episode of the Union Podcast, Scott King, John Michelsen, and Chris Kraus break down why understanding is the prerequisite for any agentic AI strategy, why summaries are spam, and how one customer made Krista the brain of their entire business. They cover layered access, real-time system connection, privacy discipline, and an 80-page investment thesis built from thousands of internal meetings.

Learn where to start, how long it takes, and why action, not another inbox, is the real ROI.

Build the understanding your business can act on: https://krista.ai

1. Why the enterprise brain matters
2. Tribal knowledge and the visibility gap
3. Why meeting summaries are spam
4. Siloed note takers and recording risk
5. Beyond meetings: emails, chat, systems of record
6. The 80-page investment thesis
7. Privacy and access policies
8. Where to start and how long it takes
9. The real ROI is action

More at krista.ai

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