ST. LOUIS, Mo. — September 8, 2026 — As businesses move from AI systems that answer questions to software agents that take actions, Brennan McCloud believes one deceptively simple question will become increasingly important: Did the right work actually get done?
McCloud, founder of Aule Intelligence, has published an AI Action Assurance Record designed to make that question easier to answer. The operating artifact separates an agent’s intended result, authority, governing rules, evidence, actions, observed outcome, validation and human decisions so that activity is not automatically mistaken for success.
“An AI system can follow every step and still do the wrong job. A completion message is not the same thing as a result you should trust.”
Consider a routine sales workflow. An AI agent retrieves a price, creates a proposal and sends an email. The workflow may show three successful steps. But a business still needs to know whether the price was approved, the terms were authorized, the correct version was sent to the intended recipient and the resulting commitment was within policy.
McCloud argues that this gap between execution and assurance is likely to matter more as agents gain permission to communicate, update systems, move information and coordinate work across multiple applications.
The framework is not presented as a certification standard or a substitute for security, audit or compliance programs. It is a proposed operating artifact: a plain-language way for teams to decide what evidence should exist when software begins carrying more responsibility.
Define the outcome before expanding authority
The underlying idea is that organizations should define the outcome and its evidence before granting an agent broader authority. For a consequential workflow, leaders should be able to answer: What was the intended result? What was the agent authorized to do? Which rules constrained it? What evidence did it rely on? What actions did it take? What actually happened? Who or what validated the result? And where did a human decision remain necessary?
“Most AI demos end when the software acts. In real operations, that is where the harder question begins. The point is not just to make software capable of doing more. It is to make the resulting work dependable enough that a person can responsibly stop carrying every step in their head.”
McCloud’s perspective is shaped by work across both software and physical operating businesses. Through Aule Intelligence, he focuses on applied AI, systems integration and business-process design. He also operates in commercial services, where weather, people, equipment, timing and customer commitments make operational edge cases impossible to ignore.
That combination has led to a broader thesis: useful AI will be judged less by how impressive it appears in isolation and more by whether it can carry responsibility inside messy real-world systems.
“The question is not how much work AI can generate. It is how much work a person can responsibly stop carrying.”
The AI Action Assurance Record is available publicly here. Additional writing and media information are available on the press page.
About Brennan McCloud
Brennan McCloud is a St. Louis founder, product operator and writer. He is the founder of Aule Intelligence and writes about responsible AI, agentic systems, Household Intelligence and the operational conditions required for software to carry real responsibility. Learn more at brennanmccloud.com.