AI Consulting & Training Services: Strategy Meets Practical Implementation

From McMaster University professor who runs real businesses using AI

Presentation 1

The AI Consultant Who Actually Knows What Works (Because I Use It Daily)

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.

Why the Professor + Practitioner Combination Matters

Academic Credentials Provide Rigor:

Systematic evaluation of AI capabilities and limitations Research-backed implementation methodologies Access to latest AI research and developments Teaching experience that transfers knowledge effectively

Business Owner Experience Provides Realism:

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.

Our Services: Consulting + Training Together

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.

AI Consulting Services

1. AI Readiness Assessment

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.

What We Assess

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

Organizational Readiness: Leadership alignment and executive sponsorship Cultural openness to change Risk tolerance and failure acceptance Resource availability (time, budget, people)

Process Readiness

Process Readiness: Documentation quality of current workflows Process standardization and consistency Clear ownership and accountability Measurement systems for success tracking

Strategic Readiness

Strategic Readiness: Business problems AI could address Competitive pressures requiring AI response Clear objectives and success criteria Realistic timelines and expectations

Deliverables

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

Who This Is For

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

Real Client Example:

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.

2. AI Strategy & Roadmap Development

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.

Our Approach:

Phase 1: Opportunity Discovery (2 weeks)

Stakeholder interviews (executives, managers, end users) Process mapping workshops Pain point and bottleneck identification Competitive landscape analysis Technology trend assessment

Phase 2: Use Case Prioritization (1 week)

Business value estimation for each opportunity Technical feasibility assessment Resource requirement analysis Risk evaluation ROI modeling for top candidates

Phase 3: Strategic Roadmap (2 weeks)

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

Deliverables:

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

Who This Is For:

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

Real Client Example:

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.

3. Use Case Identification & Business Case Development

What It Is: Detailed analysis of specific AI opportunity identification with comprehensive business case development for executive approval.

What We Deliver:

Use Case Documentation:

  • Detailed problem statement
  • Current state process mapping
  • Proposed AI solution architecture
  • Success criteria definition
  • Implementation requirements

Deliverables:

  • Use case specification document (15-20 pages)
  • Executive business case presentation
  • Financial model with ROI calculations
  • Risk register and mitigation strategies
  • Implementation project plan

Business Case Analysis:

  • Cost-benefit analysis (development, operations, maintenance)
  • ROI calculation with multiple scenarios
  • Payback period estimation
  • Risk assessment and mitigation
  • Alternative solution comparison

Timeline:

  • Timeline: 2-3 weeks per use case
  • Investment: $4,500-$7,500 per use case

Implementation Planning:

  • Project timeline with milestones
  • Resource requirements (people, tools, budget)
  • Vendor selection criteria (if applicable)
  • Change management considerations
  • Success metrics and KPIs

Who This Is For:

  • Teams needing executive approval for AI projects
  • Organizations building internal business cases
  • Companies evaluating build vs. buy decisions
  • Businesses requiring detailed ROI justification

4. Implementation Planning & Oversight

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.

What We Provide:

Technical Oversight:

  • Architecture review and recommendations
  • Vendor proposal evaluation
  • Code quality assessment
  • Testing strategy design
  • Security and compliance review

Deliverables:

  • Biweekly progress reports
  • Risk and issue logs
  • Technical review summaries
  • Executive status updates
  • Lessons learned documentation

Project Management Support:

  • Implementation milestone tracking
  • Risk identification and mitigation
  • Scope management and change control
  • Quality gate reviews
  • Stakeholder communication
  •  

Timeline:

  • Timeline: Ongoing through project lifecycle (typically 3-6 months)

  • Investment: $5,000-$8,000/month

Strategic Guidance:

  • Technical decision-making support
  • Trade-off analysis (cost, time, quality)
  • Course correction recommendations
  • Escalation issue resolution
  • Success criteria validation

Who This Is For:

  • Organizations implementing AI without internal expertise
  • Companies working with external vendors needing oversight
  • Teams wanting expert guidance without full-time hire
  • Businesses managing multiple concurrent AI projects

5. Fractional AI Advisor

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.

What’s Included:

Strategic Advisory (5-8 hours/month):

  • Monthly strategy sessions with leadership
  • Technology landscape monitoring
  • Competitive intelligence briefings
  • Investment prioritization guidance
  • Performance metrics review

Ad-Hoc Requests (5-10 hours/month):

  • RFP review and response
  • Executive presentation development
  • Business case validation
  • Escalation issue resolution

Technical Guidance (5-8 hours/month):

  • Architecture and design reviews
  • Vendor evaluation and negotiation
  • Build vs. buy recommendations
  • Tool selection guidance
  • Quality assurance oversight

Deliverables:

  • Monthly strategy session (90 minutes)
  • Written monthly report
  • On-call availability for urgent issues
  • Quarterly roadmap reviews
  • Annual performance assessment

Timeline: Ongoing (3, 6, or 12-month commitments)
Investment: $5,000/month

Team Support (2-4 hours/month):

  • Office hours for your AI team
  • Technical problem-solving
  • Best practices coaching
  • Resource recommendations

Who This Is For:

  • Organizations with active AI initiatives needing expert guidance
  • Companies between consultants (too much) and nothing (too little)
  • Executives wanting expert second opinions
  • Businesses scaling AI across multiple functions

AI Training & Workshop Services

1. Executive AI Awareness Workshop

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.

What We Cover:

Understanding AI Capabilities (90 minutes)

  • What AI actually is (vs. the hype)
  • Real capabilities vs. science fiction
  • When AI works vs. when it doesn’t
  • Current technology landscape (LLMs, agents, automation)
  • 2026 trends affecting your industry

 

Strategic Implications (60 minutes)

  • Competitive dynamics and threats
  • Customer expectation evolution
  • Workforce transformation
  • Regulatory landscape
  • Investment requirements

 

Decision-Making Framework (90 minutes)

  • Identifying high-value opportunities
  • Build vs. buy considerations
  • Risk assessment and management
  • Resource allocation strategies
  • Success measurement approaches

 

Format:

  • Half-day session (4 hours)
  • Maximum 15 participants
  • Interactive discussions and case studies
  • Industry-specific examples
  • Q&A throughout

 

Deliverables:

  • Executive AI strategy guide
  • Decision-making framework tool
  • Recommended reading list
  • Follow-up consultation (1 hour)

 

Timeline: Half-day session
Investment: $3,500

 

Who This Is For:

  • Executive teams evaluating AI investment
  • Board members needing AI literacy
  • Senior leadership planning AI strategy
  • Executives facing competitive AI pressure

2. AI Essentials for Teams

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.

What We Cover:

Morning Session: Foundations (3 hours)

  • AI basics everyone needs to know
  • Major AI technologies explained simply
  • Understanding AI capabilities and limitations
  • Ethics, bias, and responsible AI use
  • Data privacy and security considerations

 

Afternoon Session: Hands-On Practice (3 hours)

  • AI prompt engineering training for ChatGPT and Claude
  • Document analysis and summarization
  • Content creation and editing
  • Research and competitive intelligence
  • Data analysis and insights
  • Workflow automation basics

 

Format:

  • Full-day workshop (6 hours)
  • Maximum 20 participants per session
  • Hands-on exercises with real work scenarios
  • Department-specific examples
  • Take-home practice assignments

 

Deliverables:

  • Participant workbooks
  • Prompt library for common tasks
  • Use case toolkit
  • 30 days of email support
  • Recorded session for review

 

Timeline: Full-day workshop
Investment: $6,000 per session

 

Who This Is For:

  • Organizations rolling out AI tools company-wide
  • Teams needing practical skills, not theory
  • Companies wanting consistent AI literacy
  • Businesses seeking to maximize AI tool ROI

3. Department-Specific AI Workshops

What It Is: Customized AI training for managers and teams focused on specific functional applications: marketing, sales, operations, finance, HR, customer service.

What We Cover:

Marketing AI Workshop (4 hours)

  • Content creation and optimization
  • SEO and keyword research with AI
  • Campaign ideation and planning
  • Customer persona development
  • Social media management
  • Performance analysis and reporting

 

Sales AI Workshop (4 hours)

  • ead research and qualification
  • Personalized outreach at scale
  • Proposal and presentation development
  • Objection handling preparation
  • CRM data enrichment
  • Sales forecasting and pipeline analysis

 

Operations AI Workshop (4 hours)

  • Process documentation and optimization
  • Workflow automation identification
  • Quality control and compliance checking
  • Resource allocation and scheduling
  • Vendor management and procurement
  • Performance reporting

 

Finance AI Workshop (4 hours)

  • Financial analysis and modeling
  • Report generation and automation
  • Budget variance analysis
  • Audit preparation
  • Fraud detection
  • Forecasting and scenario planning

 

Format:

  • Half-day session (4 hours)
  • Maximum 15 participants
  • Role-specific scenarios
  • Hands-on practice
  • Real tools your team uses

 

Deliverables:

  • Function-specific prompt libraries
  • Use case playbooks
  • Implementation checklists
  • 60 days of email support

 

Timeline: Half-day per department
Investment: $4,000 per workshop

 

Who This Is For:

  • Teams wanting role-relevant training
  • Organizations with diverse AI needs
  • Companies maximizing specific tool investments
  • Businesses seeking department-level adoption

4. AI Adoption Program (Multi-Week)

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.

Program Structure:

Week 1: Foundations & Strategy

  • AI capabilities overview
  • Organization-specific opportunity identification
  • Team project selection
  • Success metrics definition

 

Weeks 2-5: Skills Development

  • Weekly 2-hour training sessions
  • Practical exercises between sessions
  • Expert office hours support
  • Team project progress reviews

 

Weeks 6-8: Project Implementation

  • Guided real-world project work
  • Weekly coaching sessions
  • Troubleshooting support
  • Documentation development

 

Weeks 9-10: Presentation & Scaling

  • Team project presentations
  • Results documentation
  • Scaling recommendations
  • Next phase planning

 

Format:

  • 6-10 weeks total
  • 2-hour weekly sessions
  • 3-5 hours homework weekly
  • Office hours available
  • Cohorts of 15-25 participants

 

Deliverables:

  • Complete training curriculum
  • Team project implementations
  • Organization AI playbook
  • Individual certificates
  • Scaling roadmap for successful projects

 

Timeline: 6-10 weeks
Investment: $15,000-$25,000

 

Who This Is For:

  • Organizations serious about AI transformation
  • Companies building internal AI capabilities
  • Businesses wanting measurable project outcomes
  • Teams needing comprehensive upskilling

5. AI Keynote Speaking

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.

Popular Topics:

“AI Demystified: What Business Leaders Actually Need to Know”

  • Cutting through AI hype to practical reality
  • Real capabilities vs. overblown promises
  • Strategic implications for your industry
  • Implementation lessons from McNish Steel

 

“The Professor-Practitioner Approach to AI”

  • Why most AI consulting fails
  • Bridging academic research and business reality
  • Lessons from teaching and implementing AI
  • Framework for evaluating AI opportunities

 

“AI in Traditional Industries: Blue-Collar Automation”

  • Why construction and manufacturing benefit most
  • Overcoming adoption barriers
  • Case studies from steel fabrication
  • ROI expectations and reality

 

“AI Implementation: From Strategy to Production”

  • The gap between planning and doing
  • Common failure modes and how to avoid them
  • Change management for AI adoption
  • Measuring success that matters

 

Format:

  • 30-60 minute presentations
  • Customizable to audience and event
  • Q&A session included
  • Interactive elements available

 

Deliverables:

  • Customized presentation
  • Attendee handouts
  • Post-event follow-up materials
  • Recording rights (if desired)

 

Timeline: Single event
Investment: $5,000-$10,000

 

Who This Is For:

  • Conference and event organizers
  • Industry associations
  • Corporate all-hands meetings
  • Professional development events

The Professor-Practitioner Advantage

Academic Expertise: McMaster University

Teaching Experience:

  • “AI Essentials for Marketing Professionals” course
  • 7-week microcredential program at DeGroote School of Business
  • Developed curriculum from scratch based on industry needs
  • Regular guest lectures and speaking engagements

Research-Backed Approach:

  • Access to latest AI research and developments
  • Systematic evaluation methodologies
  • Evidence-based recommendations
  • Academic rigor without ivory tower disconnect

Teaching Ability:

  • Practiced at explaining complex topics simply
  • Curriculum development expertise
  • Experience with diverse learning styles
  • Skilled at knowledge transfer

Real Implementation:

  • AI Consultant for McNish Steel Ltd (steel fabrication, Alberta)
  • Built three production AI systems delivering $84K annual savings
  • Systems processing 500+ documents monthly
  • 85% time savings on contract analysis

Industry Expertise:

  • Deep construction and manufacturing knowledge
  • Understanding of traditional business challenges
  • Experience with limited IT resources
  • Proven ROI in non-tech environment

Practical Focus:

  • Solutions that work in the real world
  • Budget-conscious recommendations
  • Change management experience
  • Realistic timeline expectations

Most AI consultant Toronto or AI consultant Canada offerings come from:

  • Pure consultants: Great strategy decks, no implementation track record
  • Pure technologists: Can build anything, don’t understand business
  • Pure academics: Cutting-edge research, impractical recommendations
  • Pure practitioners: Know what works for them, lack transferable frameworks

 

You get all four: strategy, technology, research, and real-world experience.

Our Consulting & Training Process

For Consulting Engagements:

Step 1: Discovery Call (30 minutes, free)

  • Understand your situation and challenges
  • Discuss potential engagement approaches
  • Determine if we’re a good fit
  • Outline next steps

Step 2: Scoping & Proposal (1 week)

  • Detailed needs assessment
  • Customized engagement proposal
  • Clear deliverables and timeline
  • Transparent pricing
  • References available

Step 3: Kick-Off & Planning (Week 1)

  • Stakeholder alignment meeting
  • Work plan finalization
  • Access and logistics setup
  • Communication protocols
  • Success criteria agreement

Step 4: Execution (Varies by engagement)

  • Regular progress updates
  • Stakeholder check-ins
  • Deliverable reviews
  • Course corrections as needed
  • Quality assurance

Step 5: Wrap-Up & Transition (Final week)

  • Deliverable finalization
  • Findings presentation
  • Recommendations review
  • Next steps planning
  • Ongoing support options

For Training Programs:

Step 1: Needs Assessment (30 minutes, free)

  • Understand learning objectives
  • Identify audience background
  • Discuss format preferences
  • Determine success criteria

Step 2: Curriculum Customization (1-2 weeks)

  • Adapt materials to your context
  • Include industry-specific examples
  • Incorporate your AI tools
  • Develop custom exercises

Step 3: Logistics Planning (1 week)

  • Schedule session dates/times
  • Set up technology and access
  • Prepare participant materials
  • Communication planning

Step 4: Training Delivery (Varies by program)

  • Engaging, interactive sessions
  • Hands-on practice
  • Real-time Q&A
  • Homework assignments (if multi-week)
  • Individual support

Step 5: Follow-Up & Support (30-60 days)

  • Email support for questions
  • Office hours (if included)
  • Additional resources
  • Success tracking
  • Refresher sessions (if needed)

Client Success Stories

Manufacturing Company AI Transformation

Client: Mid-size manufacturing company (200 employees)
Challenge: Facing competitive pressure from larger firms using AI but lacked strategy

Our Work:

  • Stakeholder interviews with executives and end users
  • Process mapping and workflow documentation
  • Time study quantification (how long tasks actually take)
  • Pain point identification
  • Data availability assessment
  • ROI opportunity analysis

Results:
  • Phase 1 launched in 4 months (quality control automation)
  • 40% reduction in defect rate
  • $120K annual savings
  • Executive buy-in for Phase 2
  • Internal AI champion program established

Professional Services Firm AI Adoption

Client: 50-person consulting firm
Challenge: Wanted to use AI but team was skeptical and untrained


Our Work:

  • AI Adoption Program (8 weeks)
  • Trained 35 consultants across all departments
  • Guided 5 team projects
  • Executive coaching for managing partners

Results:
  • 18% increase in billable hours (less admin time)
  • 30% faster proposal development
  • 95% user adoption rate
  • 3 team projects scaled company-wide
  • Became competitive advantage in client pitches

Construction Firm Strategic Planning

Client: Regional general contractor (100 employees)
Challenge: Overwhelmed by AI hype, needed practical direction

Our Work:

  • AI readiness assessment
  • Strategic roadmap development
  • Executive workshop
  • 3 months of fractional AI advisor support

Results:
  • Clear 12-month AI plan with priorities
  • Executive alignment achieved
  • $25K pilot project launched successfully
  • Avoided $80K waste on wrong technology
  • Positioning for larger Phase 2 implementation

Pricing & Packages

Consulting Services

Frequently Asked Questions

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.

Ready to Build AI Capabilities That Actually Work?

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.

Three Ways to Get Started:

  1. Free Discovery Call
    30-minute conversation to understand your needs and discuss how we can help.
    Schedule Call →

 

  1. AI Readiness Assessment
    Comprehensive evaluation of your organization’s AI readiness with actionable recommendations.
    Investment: $3,500
    Request Assessment →

 

    1. Custom Consulting or Training Proposal
      Tailored engagement designed for your specific situation and objectives.
      Request Proposal →

 

About Scott William Wilson

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:

  • AI Professor: McMaster University DeGroote School of Business
  • Course: “AI Essentials for Marketing Professionals”
  • AI Consultant: McNish Steel Ltd (steel fabrication, Alberta)
  • CEO: Geek Certified (AI consulting firm)

 

Real AI Systems Deployed:

  • Contract analysis automation (85% time savings)
  • Safety procedure generation (87% time savings)
  • Estimating process automation (67% time savings)
  • Processing 500+ documents monthly
  • $84,000+ annual cost savings delivered

 

Why I’m Different:

  • Only AI consultant who’s both professor and business owner
  • Deep construction/manufacturing industry expertise
  • Teaching experience transferring complex knowledge simply
  • Research-backed methods tested in production
  • ROI-focused, not hype-focused

 

Geographic Service:

  • Primary: Toronto, Hamilton, Southern Ontario
  • Also Serving: All of Canada (virtual delivery)
  • Industries: Construction, manufacturing, professional services, healthcare, finance

 

Speaking & Teaching:

  • McMaster University regular instructor
  • Industry conference keynote speaker
  • Corporate training facilitator
  • Webinar and workshop presenter

Contact Information:

Social & Professional Links:

📧 Email: info@theaiprofessor.ca
📱 Phone: 289-259-8059
💼 LinkedIn: Scott William Wilson
🐦 Twitter/X: @ScottWilsonAI