Academy
Build your organization's AI capability.
Strategic and practical learning across AI, data, LLMs, business transformation, and governance — designed for leaders, managers, and operators who need to move from awareness to execution.
Foundations
AI Operating System
Usage
AI Usage & Mastery
Knowledge
Reliable AI Systems
Building
AI Products & Agents
Operations
AI-Powered Operations
Functions
AI for Business Functions
Governance
Governance, Risk & ROI
Seven Areas · One Integrated Program
Formats
Four formats. One methodology.
Training for an executive board and training for an operations team look nothing alike. We design for the audience, the scale, and the outcome you need — not a single standardized delivery. Every format uses the same hands-on methodology.
01
Format 01
Executive sprint
1 Full Day · 6–8 Hours
A focused day for C-suite and board. Strategic framing of AI opportunities, governance implications, and decision frameworks — tailored to your organization's context and priorities.
Best For
02
Format 02
Intensive bootcamp
2–4 Days · Intensive
Deep immersion for managers and functional leaders. Use-case scoping, governance mapping, and hands-on capability building — delivered over consecutive days with real organizational context.
Best For
03
Format 03
Custom team tracks
1–4 Weeks · Modular
Curricula shaped around a specific function, vertical, or transformation program. Finance teams learn anomaly detection. HR teams learn talent operations. Calibrated to the work your team actually does.
Best For
04
Format 04
Cohort programs
6–8 Weeks · Modular
The gold standard for operators who need to build. Weekly modules, guided exercises, live project reviews, and a final capstone. Participants finish with deployable systems and the confidence to scale them.
Best For
The Methodology
A methodology that sticks.
Every session blends strategy, practice, and building. Participants don't just learn about AI — they shape how it applies to their work. Over 40–50% of each session is dedicated to guided labs with real organizational context.
#01
Learn
Strategic & technical foundations
#02
Build
Guided, hands-on exercises
#03
Test
Real-world data, real-time feedback
#04
Reflect
Analyze outcomes, refine workflows
A strategic framework
Clear view of where AI creates value in your organization
A practical toolkit
Templates, patterns, and methods you can apply immediately
An action roadmap
Prioritized next steps ready for real implementation
Strategy · Practice · Reflection · Action
Who We Train
Three audiences. Three outcomes.
Executives need one kind of fluency. Managers need another. Operators need a third. One curriculum can't serve all three — so we designed three.
01
Audience 01 · Executives
Lead AI transformation with clarity.
For C-suite, board members, and strategy leaders.
AI has moved from a technology investment to a CEO-level strategic imperative. Executives need frameworks to lead adoption, make investment decisions, and govern responsibly — without becoming technologists themselves. Based on real industry data: 94% of CEOs say AI is a transformation priority, but only 17% have a defined AI strategy in place.
What They Will Gain
- A clear understanding of AI's strategic importance and organizational implications
- The ability to distinguish AI tools, intelligent assistants, and autonomous agents
- Identified priority areas where AI can deliver measurable business value
- Recognition of data and governance as leadership responsibilities
Executive Briefing · AI Transformation
94%
Of CEOs say AI is a priority
17%
Have a defined strategy
72%
Of initiatives fail ROI
60%
Of leaders lack AI literacy
Based On Industry Research
02
Audience 02 · Managers
Turn AI strategy into shipped initiatives.
For functional leads, product owners, and transformation managers.
Managers are where AI strategy meets reality. They scope use cases, validate opportunities, coordinate across data and people, manage vendors, and keep timelines honest. They need the full operating picture — strategy, data, governance, and delivery — to move from ambition to outcomes.
What They Will Gain
- Frameworks to scope and prioritize AI use cases within their function
- Tools to assess data readiness and coordinate cross-functional delivery
- Governance patterns to run initiatives safely and defensibly
- Practical methods to manage AI vendors, partners, and internal stakeholders
Use Case Portfolio · Customer Operations
Backlog
Scoping
Build
Live
Owners: 3 · Data Sources: 4 · Governance Review: Passed
03
Audience 03 · Teams & Operators
Make AI part of everyday work.
For the people who use, build, and operate AI daily.
Operators need to move from ad-hoc AI usage to reliable, governed workflows they can depend on. They learn to apply AI to their real workflows, build practical systems, and navigate governance boundaries — making AI a durable part of how work gets done.
What They Will Gain
- Practical application of AI tools to real daily workflows
- The ability to build and deploy AI-supported processes
- Skills to evaluate AI outputs, manage risk, and iterate with confidence
- Working knowledge of ethical, compliant AI usage in operational settings
Workflow · Invoice Processing
Trigger
Extract
AI
Validate
Review
Post
ERP
Running Live · 342 Executions This Week
Builder's Toolkit
Every participant leaves with a toolkit.
Learning without assets is theater. Every House of Ichigo engagement ships participants with a curated toolkit — practical materials, reusable frameworks, and access to our ongoing library. The support doesn't end when the session does.
The toolkit is built on three pillars: libraries you can draw from, training materials you take with you, and live components that make learning stick. Everything is practical, not theoretical.
The Three Pillars
Libraries you can draw from
AI use cases, AI agents, AI assistants, and pattern templates
Training materials you keep
Core modules, workshop playbooks, frameworks, and articles
Live components that make it stick
Practical workshops, live demos, and guided application sessions
What's Inside
The complete Builder's Toolkit
01 · Libraries
- AI use cases library — curated patterns across functions and industries
- AI agents library — ready-to-adapt autonomous system templates
- AI assistants library — role-specific copilot configurations
- Articles and insights — our published thinking and frameworks
02 · Materials
- Core training modules — complete curriculum documentation
- Workshop playbooks — reusable formats for internal rollout
- Framework templates — maturity, governance, prioritization tools
- Reference guides — decision frameworks and checklists
03 · Live
- Practical workshops — hands-on sessions with real organizational context
- Live demos — real systems shown running with live data
- Guided application — working through your specific use cases together
The toolkit grows with our library. What you receive today expands over time.
Why It Works
Built around how teams actually learn.
Most training fails because it teaches concepts without application. Our engagements are designed around four non-negotiable principles.
Modular and role-based
Separate paths for executives, managers, and operators. You only learn what your role actually requires.
Anchored in real work
Every framework applies to your specific context. No abstract theory with nowhere to apply it.
Strategic and practical
Half strategy, half application. Executives learn to govern. Operators learn to build. Everyone learns to decide.
Support beyond the session
Access to our expert network, ongoing library updates, and follow-up consultations.
Proven In The Field
Built on 4,000+ professionals trained.
50+
Curricula Developed
Each built around real transformation patterns.
500+
Companies Supported
Across financial services, public sector, academia, and technology.
4,000+
Professionals Trained
From operators to executives, across every function.
Trusted By Academic And Institutional Partners
Questions
Before you engage.
Start Learning
Ready to build real AI capability?
Every engagement starts with a discovery conversation. We learn your audience, your outcomes, and your context — then propose the training plan that matches.