Module 01
AI Foundations
Strip away the hype. Understand what AI actually is, what it can do today, and where it reliably falls short. This module gives your team a shared vocabulary and a practical framework for evaluating tools and vendors - without needing a computer science degree.
What participants will be able to do
- Explain the difference between generative AI, traditional machine learning, and rule-based automation - and why it matters for tool decisions.
- Describe why AI produces confident-sounding wrong answers, and what that means for how your team should verify outputs.
- Navigate the vendor landscape and identify which tier of tool fits which use case.
- Write effective prompts that get consistent, usable results for everyday business tasks.
- Apply a structured evaluation framework to any new AI tool or vendor your organization is considering.
What we cover
How AI actually works
Replace the search-engine mental model with an accurate understanding of what LLMs do, how training and inference differ, and why that distinction matters for every decision your team makes about AI.
Capabilities vs. limitations
Get calibrated on where current AI excels and where it consistently falls short. Most teams are applying AI to the wrong tasks while ignoring the highest-ROI opportunities sitting right in front of them.
The AI landscape
A framework for navigating the vendor landscape that won't be outdated next quarter. Understand the major players, what they each represent, and when hosted APIs vs. self-hosted models make sense for your organization.
Evaluating tools and vendors
Learn the five categories that matter when evaluating any AI tool: data handling, security, compliance, reliability, and actual capability on your use case. Know the right questions to ask before your organization signs anything.
Prompt engineering for business
The single highest-leverage skill most teams are missing. Learn to structure prompts that produce consistent, usable results - and build reusable templates for your most common business workflows.
Hands-on: tool audit
Audit the AI tools your team is already using. Most organizations discover unapproved tools with unknown data handling alongside approved tools that are being dramatically underutilized.
Deliverable
AI Tool Evaluation Scorecard
A structured scoring framework covering data handling, security, compliance, reliability, cost, and capability. Use it to evaluate any AI tool your organization is considering - with clear thresholds for approval and automatic flags for disqualifying risks. You'll apply it to your own tools during the session.
What You'll Learn
Six modules. Complete coverage.
Module 01
AI Foundations
How AI actually works · Capabilities vs. limitations · The AI landscape · Evaluating tools and vendors · Prompt engineering for business · Workshop: tool audit
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Module 02
Security & Data Privacy
Data flow in AI systems · Consumer vs. enterprise privacy · Shadow AI discovery · Prompt injection attacks · Compliance mapping · Workshop: data flow audit
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Module 03
Responsible AI Adoption
Building AI usage policies · Bias and hallucination awareness · Human-in-the-loop patterns · IP and copyright · Incident response · Workshop: policy draft
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Module 04
Smart Automation
Finding high-ROI opportunities · Build vs. buy decisions · Cost monitoring · Output quality monitoring · Change management · Workshop: 90-day roadmap
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Module 05
Hands-On Implementation
Real integration patterns · Tool evaluation against your use cases · Implementation backlog with owners · Pilot design · Your custom AI playbook
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Module 06
Ethics & Sustainability
Environmental cost of AI · Disclosure to customers and regulators · Training data ethics · Workforce impact · Information integrity · Vendor concentration · Workshop: ethics review
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Training Options
Choose your format
Executives attend the Bootcamp to align on risk, governance, and investment. Their teams attend the Workshop to build hands-on capability and artifacts.
Executive Bootcamp
$499Free
3 deliverables · For decision-makers
Intensive session for executives who fund, govern, and are accountable for AI. Closes the gap between AI usage and AI confidence.
- →AI capabilities & limitations framework
- →Competitive & risk framing
- →Live governance scenario
- →Vendor evaluation quick reference
- →Investment decision framework
- →Choose 2 of 3 executive deliverables
- →Commitment round with accountability
Company Training
$7,500–$12,500$3,750–$6,250
6 modules · Scalable across teams
All six modules condensed for team-wide AI literacy. Builds shared vocabulary and awareness without the deliverable deep-dives.
- →AI Foundations & prompt engineering
- →Security & data privacy essentials
- →Responsible AI awareness
- →Smart automation strategies
- →Shadow AI discovery exercise
- →Group exercises with your real workflows
Full Workshop
Complete Program$20,000$10,000
6 modules · 7 deliverables · For teams
The complete six-module program with hands-on exercises and seven custom deliverables. Participants leave with work products, not just notes.
- →All six modules, full depth
- →6 custom deliverables built in-session
- →AI Tool Evaluation Scorecard
- →Shadow AI Discovery Guide
- →AI Usage Policy Template
- →90-Day AI Adoption Roadmap
- →Progress tracking included
- →30-day follow-up call
Developer Preparedness
$25k+
Custom scope · For dev teams
Hands-on training for engineering teams ready to integrate AI into their stack. Scoped to your codebase, your tools, your workflows.
- →AI-assisted code review pipelines
- →Copilot & agent integration patterns
- →Prompt engineering for developers
- →RAG & embeddings architecture
- →CI/CD with AI quality gates
- →Security hardening for AI features
- →Custom tool & MCP server builds
Ready to start?
Get your team AI-ready
Executive bootcamp, company training, or the full hands-on workshop. We'll meet you where you are.