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Artwork for Using AI at Work: AI in the Workplace & Generative AI for Business Leaders
Using AI at Work: AI in the Workplace & Generative AI for Business Leaders · April 13 · 49 min

99: Using AI Automation to Build Smarter Workflows Across Your Organization with Marc Boscher

Send us Fan Mail Most companies think they are “doing AI” but are still stuck in single-player mode. In this episode Chris talks with Marc Boscher, Founder and CEO of Unito, a workflow integration platform, about why AI adoption breaks down at the organizational level. Marc explains that the real barrier is not model capability, but fragmented systems, missing context, and lack of trust. He introduces the shift from prompt engineering to context engineering, and why connecting systems and data is the key to unlocking AI that works across teams, not just for individuals. The conversation explores how leaders can move from isolated productivity gains to true enterprise impact by building context libraries, enabling dynamic data access, and reducing operational friction. Marc also breaks down the importance of trust, deterministic vs non-deterministic systems, and why change management remains the biggest challenge. This episode gives leaders a practical lens for turning AI from a tool employees use into infrastructure the business runs on. Chapters: 00:00:00 Introduction 00:00:36 Why Trust and Context Are Critical for AI Agents 00:01:00 Context vs Prompts: What Actually Matters 00:03:48 Single Player vs Multiplayer AI in Business 00:06:30 Why Context Unlocks Enterprise-Level AI Value 00:08:28 What “Context” Really Means in AI Systems 00:11:34 Building Context-Rich AI Use Cases (Sales Example) 00:13:42 Static vs Dynamic Context Explained 00:20:12 Why Context Engineering Replaces Prompt Engineering 00:24:04 From Human-in-the-Loop to Autonomous AI Systems 00:27:29 The Context Gap and Operational Inefficiency 00:36:01 Why Change Management Is the Real Bottleneck 00:42:03 Deterministic vs Non-Deterministic AI Systems 🔎 Find Out More About Marc Boscher: LinkedIn: https://www.linkedin.com/in/marcboscher Unito: https://unito.io 🛠 AI Tools and Resources Mentioned: Unito – https://unito.io Salesforce – https://www.salesforce.com ServiceNow – https://www.servicenow.com GitHub – https://github.com HubSpot – https://www.hubspot.com NetSuite – https://www.netsuite.com Workday – https://www.workday.com ChatGPT – https://chat.openai.com Claude – https://claude.ai Gemini – https://gemini.google.com Copilot – https://copilot.microsoft.com

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show notes

Send us Fan Mail

Most companies think they are “doing AI” but are still stuck in single-player mode.

In this episode Chris talks with Marc Boscher, Founder and CEO of Unito, a workflow integration platform, about why AI adoption breaks down at the organizational level. Marc explains that the real barrier is not model capability, but fragmented systems, missing context, and lack of trust. He introduces the shift from prompt engineering to context engineering, and why connecting systems and data is the key to unlocking AI that works across teams, not just for individuals.

The conversation explores how leaders can move from isolated productivity gains to true enterprise impact by building context libraries, enabling dynamic data access, and reducing operational friction. Marc also breaks down the importance of trust, deterministic vs non-deterministic systems, and why change management remains the biggest challenge. This episode gives leaders a practical lens for turning AI from a tool employees use into infrastructure the business runs on.


Chapters:

00:00:00 Introduction
00:00:36 Why Trust and Context Are Critical for AI Agents
00:01:00 Context vs Prompts: What Actually Matters
00:03:48 Single Player vs Multiplayer AI in Business
00:06:30 Why Context Unlocks Enterprise-Level AI Value
00:08:28 What “Context” Really Means in AI Systems
00:11:34 Building Context-Rich AI Use Cases (Sales Example)
00:13:42 Static vs Dynamic Context Explained
00:20:12 Why Context Engineering Replaces Prompt Engineering
00:24:04 From Human-in-the-Loop to Autonomous AI Systems
00:27:29 The Context Gap and Operational Inefficiency
00:36:01 Why Change Management Is the Real Bottleneck
00:42:03 Deterministic vs Non-Deterministic AI Systems


🔎 Find Out More About Marc Boscher:

LinkedIn: https://www.linkedin.com/in/marcboscher 

Unito: https://unito.io 


🛠 AI Tools and Resources Mentioned:

Unito – https://unito.io

Salesforce – https://www.salesforce.com

ServiceNow – https://www.servicenow.com

GitHub – https://github.com

HubSpot – https://www.hubspot.com

NetSuite – https://www.netsuite.com

Workday – https://www.workday.com

ChatGPT – https://chat.openai.com

Claude – https://claude.ai

Gemini – https://gemini.google.com

Copilot – https://copilot.microsoft.com



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