Evidence-Based Advisory

Translating AI Research Into Operational Value

We help organizations move from AI experimentation to reliable, governed adoption through rigorous evidence, measurable outcomes, and structured decision frameworks.

Evidence-Based AI Consultant Toronto, led by Daniel S. Demoz, M.Sc., with more than 20 years of experience across industry, government, and education.

What We Do

Core Advisory Focus

Readiness & Governance

Navigating Canadian privacy law and AI-specific rules, including PIPEDA and sector guidance like OSFI's model risk standard, to put an ethical and compliant foundation in place.

Vendor & Tool Evaluation

Assessing the AI tools and platforms already in your workflow, and recommending what to keep, replace, or add, backed by evidence, not vendor incentives.

Measurable ROI

Moving beyond hype to deliver evidence-backed recommendations that lead to real time and cost savings.

Philosophy

Advice That Holds Up

We do not deliver abstract strategies or one-time fixes. We give you a governance foundation your team can actually run, measure, and improve over time. Our goal is to make sure your AI use is sound and can be justified, to your team, your clients, and your regulator.

"We don't hand over a report and disappear. We hand you a roadmap your team can actually drive."

Through evidence-based methodology, we translate complex research into practical governance frameworks aligned with Canadian regulatory standards.

Leadership

Daniel S. Demoz

Founder & Published Author

Daniel S. Demoz

Daniel brings over 20 years of experience across industry, government, and education. He specializes in bridging the gap between AI theory and decisions businesses can actually act on.

  • M.Sc. Interdisciplinary AI (uOttawa)
  • M.Sc. Development Management
  • PGC - Market Analytics
  • Adjunct Professor & Researcher
Evidence-Based AI Book Cover
Intellectual Authority

Evidence-Based AI:
The Discipline Behind Reliable AI

Published in early 2026, this work defines the BRUKD methodology. It provides a blueprint for executives to cut through AI hype by applying rigorous, research-backed decision-making to organizational strategy.

Operational Governance
Evidence-Based Frameworks
Financial AI Justification
Scalable Adoption Models
Read the Excerpt
Methodology

How We Work With Clients

01

Research-Driven

Applying peer-reviewed methods to enterprise data problems.

02

Regulatory Fit

Aligning every recommendation with Canadian privacy and AI regulation, including PIPEDA.

03

Workflow First

Evaluating how AI fits into your existing team and tools, including platforms like Microsoft BI.

04

Measurable Impact

Validating assumptions with data-driven analysis before any recommendation is finalized.

Collaboration

The BRUKD Ecosystem

Aligning academic research, Canadian regulatory standards, and enterprise technology.

uOTTAWA / COLLEGES
IAPP AIGP (IN PROGRESS)
PIPEDA / LAW 25
RESPONSIBLE AI
OSFI E-23

Ready to Assess Your AI Readiness?

Move from uncertainty to a structured, evidence-based roadmap.