COMPLIANCE FOR THE INTELLIGENCE AGE

IMPROVING THE PROBABILITY OF MISSION SUCCESS

OPERATIONAL COMPLIANCE 🔸 FORWARD ASSURANCE 🔸 DIGITAL ENGINEERING

Is your compliance ready for the Intelligence Age?

The Compliance Readiness Scorecard gives you an honest picture of where your program stands — and a strategic conversation about what to do next.

Score Your Compliance

Lean Compliance was founded in 2017 to close the gap between what compliance programs promise and what they deliver. The methodology draws on three decades of designing compliance, risk management, and assurance programs for highly regulated, high-risk sectors — oil & gas, pharmaceuticals, medical devices, chemical processing, financial services, government, and municipalities.

As one of Ontario's first licensed digital engineers, Raimund brings engineering discipline to a field dominated by audit thinking and documentation. Assurance isn't inspected in after the fact — it's engineered in, by design. Every engagement is led personally by Raimund Laqua.

Raimund Laqua, P.Eng., PMP

Founder, Principal Consultant

Blog Articles

Explore All Articles

Lean Compliance Perspectives, Principles and Practices

Is AI Adoption Normalizing Risk?

Some things are best described as the absence, or privation, of something good. Normalization of deviance, drift to failure, unsafe conditions, and unsafe acts all take their meaning from a positive prior. We first define what it means to be safe. Integrity is a measure of how well that state is maintained, and any loss of integrity is what we call “unsafe.” The Challenger accident shows how this works. The solid rocket booster joints were designed so that the O-rings would n

Raimund Laqua

3 min read

The Enterprise Digital Cognition Map

The Enterprise Digital Cognition Map For decades, enterprises have been climbing what we used to call the IT ladder. We started with data processing. We moved to information systems. Today we are building intelligence technology with AI. At each step, we named the technology after the highest rung it reached. Each name described what the technology processes. None described what it is for. I have been working on an updated map to address this. It combines three ideas: the DIK

Raimund Laqua

3 min read

Governance States Need Positive Priors

Much of the current discussion on AI governance focuses on evaluating decisions at the point of execution. An agent proposes an action, and the action is checked to see whether it is admissible. In earlier posts I raised two problems with this approach. It does not account for acts of omission, and actions that are acceptable on their own can still be unsafe in aggregate. There is a third problem, and it concerns what the decision is being evaluated against. Positive Priors T

Raimund Laqua

4 min read

2 3 4 5