LEADING AI INNOVATION TEAM

AICC™ is your complete enterprise AI governance solution delivered through five targeted modules: Leadership, IT, HR, Marketing/Sales, and Team. Each module includes full-day training with unlimited attendees, plus your compliance key and binder.

We always recommend starting with the Leadership module because AI governance fails when it's treated as a technical problem instead of a business leadership challenge. Your C-suite needs to understand AI's real capabilities and limitations before your teams can implement effective policies.

The Leadership module covers:

• Strategic AI decision-making frameworks that prevent million-dollar mistakes
• How to evaluate AI recommendations without technical expertise
• Building organizational confidence in AI deployment
• Creating accountability structures for AI-driven decisions

Most important: Leadership sets the tone for responsible AI adoption across every other department.

• Ongoing support contracts after 30 days (pricing based on scope)
• Travel for on-site delivery (quoted separately)

No hidden fees. No subscription traps. You invest once, own the frameworks forever.

Absolutely. Noah prefers working directly with teams on-site because AI governance requires cultural alignment, not just technical training. Travel costs are quoted separately based on location and duration.

For distributed teams:

• Each module supports unlimited attendees at primary location
• Additional Memory Keys + Binders let you replicate training across sites
• 30-day follow-up support covers all locations
• Virtual follow-up sessions available for remote team alignment

Many clients start with Leadership on-site, then use the frameworks to cascade training internally with our support.

You own the frameworks forever. The Memory Key + Binder contains everything your teams need for ongoing implementation.

For continuing support, we offer residual support contracts:

• Quarterly check-ins to adapt frameworks as your AI deployment evolves
• Regulatory update briefings when new compliance requirements emerge
• Advanced training modules as your team's AI sophistication grows
• Priority access to Noah for strategic AI decisions

Pricing is customized based on your organization's scope and needs. Most clients find the initial 30 days sufficient for basic implementation, then engage quarterly for strategic guidance.

Both, but they're separate services. AICC™ modules give your teams the frameworks to manage AI governance internally.

For organizations needing direct AI system management, we offer comprehensive in-house support under NDA:

• Ongoing AI system monitoring and optimization
• Real-time compliance verification
• Strategic AI deployment consulting
• Crisis intervention for AI-related incidents

This isn't part of the module pricing – it's custom enterprise engagement. Contact us directly if you're interested in having Noah.AI manage your AI infrastructure while your teams focus on business outcomes.

Start with Leadership – your C-suite and senior management need AI governance frameworks before anyone else implements anything.

Then prioritize based on your biggest AI risks:

High-stakes customer interaction: Marketing/Sales → HR → IT → Team
Technical AI deployment: IT → Team → HR → Marketing/Sales
People-focused AI concerns: HR → Team → Marketing/Sales → IT
Cross-functional AI projects: Team → IT → HR → Marketing/Sales

Each module is designed for specific roles:

• Leadership: C-suite, VPs, strategic decision-makers
• IT: Engineers, architects, technical project managers
• HR: People operations, compliance, ethics teams
• Marketing/Sales: Customer-facing teams, brand managers
• Team: Cross-functional project teams, AI implementation groups

Most effective approach: Leadership first, then the three modules most relevant to your immediate AI deployment.

Immediate impact (Day 1 of training):

• Clear frameworks your teams can implement immediately
• Shared language for discussing AI risks and opportunities
• Specific protocols for evaluating AI recommendations

30-day implementation results:

• Measurable improvement in AI decision quality
• Reduced anxiety about AI deployment across teams
• Clear compliance documentation for auditors
• Prevented mistakes through proper uncertainty evaluation

Long-term organizational transformation (90+ days):

• Cultural shift toward responsible AI adoption
• Competitive advantage through trustworthy AI practices
• Sustainable scaling of AI initiatives without breaking

Success metric we track: Zero AI-attributable crisis incidents after AICC™ implementation. Our research shows 87% reduction is achievable – we aim for 100%.

The modules provide the foundational framework that adapts to any industry. Rather than industry-specific checklists, we teach universal principles that apply whether you're in finance, healthcare, manufacturing, or retail.

During training, we customize examples and scenarios for your specific:

• Regulatory environment
• Customer expectations
• Risk tolerance
• Technical infrastructure

The 30-day follow-up support specifically addresses industry-specific implementation questions. Plus, ongoing support contracts can include industry-focused guidance as regulations evolve.

Remember: AI governance principles are universal. Implementation details are industry-specific. We provide both.

AICC™ is most valuable BEFORE you make expensive AI mistakes. Whether you're exploring your first AI pilot or scaling existing systems, proper governance prevents costly missteps.

For AI beginners: Get the frameworks right from the start. It's exponentially harder to fix AI governance after problematic systems are already deployed.

For AI veterans: Retrofit proper governance to prevent the crisis incidents that destroy AI ROI. Our research shows even sophisticated AI deployments suffer from overconfident recommendations.

The question isn't whether you need governance – it's whether you can afford to deploy AI without it. That $40M supply chain optimization that almost failed? Proper doubt detection would have flagged the risks before implementation, not after.