Build an AI roadmap that delivers measurable ROI.
A practical course for business leaders to identify high-impact AI use cases, launch pilots with clear metrics, and scale responsibly across teams—without needing a technical background.
Outcomes you can take to your next leadership meeting
The goal is not “learning AI.” The goal is shipping pilots and creating a roadmap your company can execute. You’ll leave with deliverables you can reuse across teams.
Prioritized AI use-case backlog
Identify, score, and prioritize initiatives based on ROI potential, feasibility, and risk.
Pilot plan with success metrics
Define KPIs, data requirements, timeline, roles, governance, and a go/no-go decision point.
6–12 month AI roadmap
Build a phased plan aligned to business goals and change management so adoption actually sticks.
Curriculum
Eight modules that move from strategy to implementation—optimized for busy operators.
Module 1 — AI fundamentals for leaders
- Generative AI vs. traditional ML in business terms
- Where AI succeeds: repeatable decisions and content workflows
- How to talk about AI with technical and non-technical stakeholders
Module 2 — Finding high-ROI use cases
- Use-case discovery workshop
- Impact vs. effort scoring model
- Risk and compliance considerations early
Module 3 — GenAI for sales & marketing
- Personalized outreach, proposals, and sales enablement
- Content systems with brand guardrails
- Customer insights and research workflows
Module 4 — AI in operations & customer service
- Automation opportunities: routing, summaries, QA, SOP generation
- Knowledge base + support bot patterns
- Measuring resolution quality and deflection safely
Module 5 — Data, privacy, and risk
- What data you need, data minimization, and retention
- Security basics for AI tools
- Responsible AI: bias, hallucinations, and human-in-the-loop
Module 6 — Tools & vendor selection
- Build vs. buy vs. partner decisions
- Vendor evaluation scorecards and procurement questions
- How to structure pilots with vendors to reduce risk
Module 7 — Designing pilots & measuring ROI
- Defining success criteria and KPIs that leadership trusts
- Instrumenting workflows for measurement
- Decision gates: scale, iterate, or stop
Module 8 — Roadmap & change management
- Operating model: roles, governance, training
- Policy basics: what teams can/can’t do
- Final project: present your AI roadmap
What participants say
Replace these placeholders with real testimonials once you have them.
“We went from scattered experiments to a clear pilot plan with metrics. Leadership finally aligned.”
“The ROI model and vendor checklist saved us weeks. We avoided a costly tool we didn’t need.”
“Practical, direct, and focused on execution. The templates alone are worth it.”
Pricing
Choose a track based on how much guidance your team needs. Team billing and invoices are available.
Standard
- ✓Live workshops + Q&A
- ✓Templates & playbooks
- ✓Certificate of completion
Pro
- ✓Everything in Standard
- ✓2 feedback sessions on your pilot plan
- ✓ROI model review + KPI instrumentation checklist
Enterprise
- ✓Team enrollment & invoicing
- ✓Custom use-case workshop
- ✓Governance and policy package
FAQ
Common questions from decision-makers before committing time and budget.
Do I need a technical background?
What will I have at the end?
Can my company pay and receive an invoice?
How much time does it take per week?
Ready to turn AI into execution?
Apply in under 2 minutes. If accepted, you’ll receive onboarding and pre-work.