From McMaster University professor who runs real businesses using AI
Most AI consulting services come from people who’ve never run a business. They can explain machine learning architectures but can’t tell you how to get your team to actually adopt AI. Or they’re pure consultants who give you a strategy document and wish you luck with implementation.
I’m different.
By day, I’m an AI professor at McMaster University’s DeGroote School of Business teaching “AI Essentials for Marketing Professionals.” By night (and weekends, and early mornings), I’m an AI Consultant for McNish Steel Ltd—a steel fabrication company where AI systems I developed help build process contracts, generate safety procedures, and automate estimating workflows that save us $84,000 annually.
This AI strategy consulting practice combines academic rigor with real-world battle scars. You get research-backed methodologies tested in an actual manufacturing environment, delivered by someone who can both teach a university course and implement production systems.
Systematic evaluation of AI capabilities and limitations Research-backed implementation methodologies Access to latest AI research and developments Teaching experience that transfers knowledge effectively
Know what actually works vs. what sounds good in theory Understand budget constraints and ROI requirements Navigate organizational resistance and change management Build systems that survive contact with real users
This combination is rare. Most AI consultant for small business engagements come from people with one or the other—rarely both.
We offer two complementary services: strategic AI consulting services and hands-on AI training for business. Most clients benefit from both—strategy without training leads to knowledge gaps; training without strategy leads to unfocused AI adoption.
What It Is: A comprehensive evaluation of your organization’s capacity to successfully implement AI. Most companies jump into AI tool selection before understanding whether they’re actually ready—leading to failed projects and wasted investment.
Technical Readiness: Data availability, quality, and accessibility Current technology stack and integration requirements Technical skills within your organization Infrastructure requirements for AI deployment
Organizational Readiness: Leadership alignment and executive sponsorship Cultural openness to change Risk tolerance and failure acceptance Resource availability (time, budget, people)
Process Readiness: Documentation quality of current workflows Process standardization and consistency Clear ownership and accountability Measurement systems for success tracking
Strategic Readiness: Business problems AI could address Competitive pressures requiring AI response Clear objectives and success criteria Realistic timelines and expectations
Deliverables: Comprehensive readiness report (20-30 pages) Readiness score across four dimensions Gap analysis with remediation recommendations "Go/No-Go" recommendation with justification 3-month preparation roadmap if not ready Timeline: 2-3 weeks Investment: $3,500
Organizations considering AI but uncertain where to start Companies that have tried AI pilots that stalled Executives needing data to justify AI investment Teams wanting to de-risk AI initiatives
A professional services firm scored 45/100 on readiness (below recommended threshold). We identified three critical gaps: data scattered across 12 systems, no clear process documentation, and deep organizational skepticism about AI. After 3 months addressing these gaps, they scored 78/100 and successfully deployed three AI systems.
What It Is: A comprehensive AI transformation roadmap that identifies where AI delivers maximum impact and creates a phased implementation plan aligned with business objectives.
Stakeholder interviews (executives, managers, end users) Process mapping workshops Pain point and bottleneck identification Competitive landscape analysis Technology trend assessment
Business value estimation for each opportunity Technical feasibility assessment Resource requirement analysis Risk evaluation ROI modeling for top candidates
Phased implementation plan (12-36 months) Quick wins identification (3-6 months) Foundation-building initiatives (data, skills, culture) Long-term transformation projects Budget allocation recommendations Success metrics framework
Strategic roadmap document (30-40 pages) Prioritized AI use cases (15-25 opportunities identified) Detailed implementation plan for Phase 1 ROI projections for each initiative Technology recommendations Skills development plan Governance framework outline Executive presentation materials Timeline: 4-6 weeks Investment: $12,000-$18,000
Organizations committed to AI but lacking clear direction Companies wanting to avoid costly false starts Leadership needing alignment on AI priorities Businesses facing competitive pressure requiring AI response
A construction firm identified 23 potential AI use cases but didn't know which to prioritize. Our strategy work revealed that contract analysis automation and bid estimation assistance delivered 5x higher ROI than their initial focus on chatbots. They implemented our recommended Phase 1 and achieved payback in 9 months.
What It Is: Detailed analysis of specific AI opportunity identification with comprehensive business case development for executive approval.
What It Is: AI implementation consulting services that guide your team or vendors through successful project delivery. We act as your AI expert without the full-time cost—providing oversight, guidance, and course correction.
Timeline: Ongoing through project lifecycle (typically 3-6 months)
Investment: $5,000-$8,000/month
What It Is: Ongoing AI advisory services for executives providing strategic counsel, technical guidance, and implementation support on retainer. Think of it as having an AI expert on your leadership team without the full-time salary.
Timeline: Ongoing (3, 6, or 12-month commitments)
Investment: $5,000/month
What It Is: Half-day executive AI training designed for CEOs, VPs, and senior leadership who need to understand AI’s strategic implications without technical deep-dives.
Understanding AI Capabilities (90 minutes)
Strategic Implications (60 minutes)
Decision-Making Framework (90 minutes)
Format:
Deliverables:
Timeline: Half-day session
Investment: $3,500
Who This Is For:
What It Is: Full-day corporate AI training programs teaching practical AI skills for knowledge workers across departments. Based on the curriculum I teach at McMaster University, adapted for corporate audiences.
Morning Session: Foundations (3 hours)
Afternoon Session: Hands-On Practice (3 hours)
Format:
Deliverables:
Timeline: Full-day workshop
Investment: $6,000 per session
Who This Is For:
What It Is: Customized AI training for managers and teams focused on specific functional applications: marketing, sales, operations, finance, HR, customer service.
Marketing AI Workshop (4 hours)
Sales AI Workshop (4 hours)
Operations AI Workshop (4 hours)
Finance AI Workshop (4 hours)
Format:
Deliverables:
Timeline: Half-day per department
Investment: $4,000 per workshop
Who This Is For:
What It Is: Comprehensive AI upskilling programs running 6-12 weeks combining education, hands-on practice, and real project implementation. This is the corporate version of my McMaster University course.
Week 1: Foundations & Strategy
Weeks 2-5: Skills Development
Weeks 6-8: Project Implementation
Weeks 9-10: Presentation & Scaling
Format:
Deliverables:
Timeline: 6-10 weeks
Investment: $15,000-$25,000
Who This Is For:
What It Is: Engaging AI keynote speaker presentations for conferences, industry events, association meetings, and company gatherings. I translate complex AI topics into actionable insights for business audiences.
“AI Demystified: What Business Leaders Actually Need to Know”
“The Professor-Practitioner Approach to AI”
“AI in Traditional Industries: Blue-Collar Automation”
“AI Implementation: From Strategy to Production”
Format:
Deliverables:
Timeline: Single event
Investment: $5,000-$10,000
Who This Is For:
Teaching Experience:
Research-Backed Approach:
Teaching Ability:
Real Implementation:
Industry Expertise:
Practical Focus:
Most AI consultant Toronto or AI consultant Canada offerings come from:
You get all four: strategy, technology, research, and real-world experience.
Step 1: Discovery Call (30 minutes, free)
Step 2: Scoping & Proposal (1 week)
Step 3: Kick-Off & Planning (Week 1)
Step 4: Execution (Varies by engagement)
Step 5: Wrap-Up & Transition (Final week)
Step 1: Needs Assessment (30 minutes, free)
Step 2: Curriculum Customization (1-2 weeks)
Step 3: Logistics Planning (1 week)
Step 4: Training Delivery (Varies by program)
Step 5: Follow-Up & Support (30-60 days)
Client: Mid-size manufacturing company (200 employees)
Challenge: Facing competitive pressure from larger firms using AI but lacked strategy
Our Work:
Client: 50-person consulting firm
Challenge: Wanted to use AI but team was skeptical and untrained
Our Work:
Client: Regional general contractor (100 employees)
Challenge: Overwhelmed by AI hype, needed practical direction
Our Work:
Large firms provide junior consultants with playbook approaches. You get me personally—a professor with real implementation experience. Plus, you’ll spend $50K-$100K less for better results.
I’m the only AI consultant professor who also runs businesses using AI daily. You get academic rigor, teaching ability, and battle-tested experience—a rare combination.
No. My specialty is AI consultant for traditional businesses—construction, manufacturing, professional services. These industries benefit most from AI but are underserved by consultants.
Both. I provide strategic consulting AND can build custom AI systems through my Geek Certified company. You get end-to-end AI consulting services.
Multi-week programs include completion certificates. I’m developing formal certification with McMaster University (launching 2026).
Yes. All training programs available virtually, in-person, or hybrid. Virtual sessions use interactive tools for hands-on practice.
I adapt training to audience. Non-technical teams get practical tools training. Technical teams get deeper implementation guidance. All levels benefit.
Primary service area is Southern Ontario, but I work with clients across Canada virtually. In-person workshops available Canada-wide for travel + accommodation costs.
Discovery calls scheduled within 1 week. Consulting engagements typically start within 2-3 weeks. Training can be scheduled 3-4 weeks out.
Yes. All engagements include defined support periods. Extended support available through fractional AI advisor retainers.
Stop paying for AI strategy documents that gather dust. Stop attending training that doesn’t transfer to real work. Start building AI consulting services and AI training for business capabilities with someone who’s done it successfully.
I’m an AI professor consultant and practitioner combining academic expertise with real-world business experience. Unlike consultants who only advise or academics who only teach, I build and deploy production AI systems daily while teaching at a top business school.
Professional Background:
Real AI Systems Deployed:
Why I’m Different:
Geographic Service:
Speaking & Teaching:
📧 Email: info@theaiprofessor.ca
📱 Phone: 289-259-8059
💼 LinkedIn: Scott William Wilson
🐦 Twitter/X: @ScottWilsonAI