Expert Guidance for Your Organization
With over a decade of experience in data science and AI implementation, I help organizations leverage technology and data-driven insights to enhance performance and drive innovation. I work with boards, leadership teams, and frontline staff—from manufacturing and agriculture to municipal government and professional services.
How Industry Is Changing: Real Shifts in AI and Tech
Organizations across sectors are navigating a common challenge: technical capabilities often outpace ethical frameworks and workforce readiness. Here are patterns I see—and help address—in consulting engagements.
Manufacturing & Industrial
The shift: Traditional manufacturers are moving from "data in spreadsheets" to IoT sensors, predictive maintenance, and AI-assisted quality control. The gap isn't technology—it's knowing which use cases deliver ROI and how to govern AI in safety-critical environments.
Example: A metal fabrication company explores AI for production optimization and supply chain visibility. Board-level presentations help leadership separate hype from practical pathways and align technology investment with strategic goals.
Agriculture & Agribusiness
The shift: Precision agriculture, IoT monitoring, and AI-driven sorting and grading are transforming the sector. Growers and processors need clarity on where AI adds value—and where human judgment remains essential.
Example: A potato processor partners with growers to pilot AI for quality prediction and waste reduction. Training sessions translate technical concepts into decision frameworks that field teams can act on.
Municipal & Public Sector
The shift: Cities and public agencies face pressure to adopt AI for service delivery, analytics, and citizen engagement—while managing privacy, equity, and procurement constraints.
Example: A municipal government runs Data and AI Literacy sessions for staff, introducing tools like Microsoft 365 Copilot with clear guidance on responsible use, validation, and limitations. Workshops build capacity without overpromising.
Professional Services & Consulting
The shift: Consultants and advisors are rethinking how AI augments—not replaces—expert judgment. Clients expect faster insights, but trust still hinges on human oversight and transparent methodology.
Example: A consulting association hosts a keynote on "Consulting in the Age of Disruption," exploring how AI reshapes client delivery, proposal writing, and knowledge management—and what stays human-centered.
Financial Services & FinTech
The shift: AI is transforming trading, fraud detection, and advisory services. The challenge is governance: balancing performance gains with explainability, fairness, and regulatory expectations.
Example: Research on AI in FinTech highlights trade-offs between automation speed and human oversight—a framework that informs how institutions design and govern AI systems.
Food Service & Distribution
The shift: From inventory optimization to customer analytics and marketing automation, food service operators are exploring AI for operational efficiency and growth.
Example: A food service company engages in AI discovery sessions to assess readiness, identify high-impact use cases, and develop a phased implementation roadmap aligned with existing systems.
Industry Best Practices I Apply
- Start with readiness, not technology. Assess organizational capacity, data maturity, and change readiness before prescribing solutions.
- Govern before you scale. Establish clear policies on AI use, validation, and human oversight—especially in regulated or safety-critical contexts.
- Invest in literacy, not just tools. Teams need to understand what AI can and cannot do. Training reduces over-reliance and under-use.
- Pilot with clear success criteria. Small, bounded experiments with defined outcomes beat large, vague initiatives.
- Preserve human judgment where it matters. AI augments; it doesn't replace expertise in ambiguous, high-stakes, or ethical decisions.
Consulting Areas
AI Strategy & Implementation
- AI readiness assessment
- Implementation roadmap development
- AI governance frameworks
- Change management for AI adoption
Data Analytics
- Analytics strategy development
- Data infrastructure optimization
- Predictive modeling
- Business intelligence solutions
Digital Transformation
- Digital maturity assessment
- Technology stack optimization
- Process automation
- Digital strategy development
Training & Development
- Custom AI/ML workshops
- Data literacy programs
- Technical team upskilling
- Executive AI education
Consulting Approach
1. Assessment
Comprehensive evaluation of your current capabilities, data maturity, and objectives. I identify gaps between where you are and where you want to be—without overpromising what AI can deliver.
2. Strategy Development
Custom roadmap creation aligned with your business goals and industry context. Prioritized use cases, governance frameworks, and phased implementation plans.
3. Implementation Support
Hands-on guidance through solution deployment and optimization. From pilot design to scaling, with emphasis on measurable outcomes and risk management.
4. Knowledge Transfer
Ensuring your team has the skills and understanding to maintain and evolve solutions. Workshops, Lunch and Learn sessions, and executive briefings tailored to your audience.
Representative Engagements
Recent consulting and advisory work across sectors:
- City of Lethbridge – Data and AI literacy workshops, Microsoft 365 Copilot training, and advisory on analytics initiatives (2024–present)
- Lethbridge Iron Works – Board presentation on AI for business and manufacturing
- Western Tractor (Taber, AB) – Microsoft 365 lecture and training for operational teams
- McCain Foods / South Alberta Potato Industry – AI training for growers and industry stakeholders
- Morton Food Services – AI discovery session and advisory on strategy and applications
- CMC Alberta / EY Calgary – Keynote and panel on "Consulting in the Age of Disruption"
- Southern Alberta B2B Tradeshow & Conference – Keynote on AI, tech, and innovation in supply chain
Industries Served
Public Sector
Municipal governments, educational institutions, public services. Data literacy, AI governance, and analytics strategy for civic and institutional contexts.
Private Sector
Manufacturing, agriculture, food service, technology, financial services. Board presentations, discovery sessions, and implementation roadmaps.
Non-Profit & Professional
NGOs, research organizations, professional associations, community services. Capacity building and strategic guidance on responsible technology adoption.