Facilitated Workshops
Build capability, not just awareness.
Half-day and full-day workshops for leadership, management, and practitioner teams. Every session is facilitated, hands-on, and grounded in the practical realities of building AI governance and enablement at mid-market organizations and nonprofits.
For Leadership + Management
Lead the conversation on AI
These workshops equip your leadership team with the frameworks, language, and practical tools to make informed decisions about AI governance and enablement, not just react to them.
AI Governance + Enablement: Building Both Functions
Most AI governance workshops teach policy and frameworks. This one teaches your leadership team how to build both governance and enablement functions simultaneously, because one without the other fails predictably. Governance without enablement produces policies nobody follows. Enablement without governance produces risk accumulation. This workshop gives your team the practical methodology to stand up both, measure the gap between them, and close it.
What your team walks away with
- A shared leadership framework for AI governance and enablement responsibilities
- Gap analysis between your current governance posture and enablement capability
- Prioritized 90-day action plan for building both functions
- Decision framework for approved tool provisioning and acceptable use
Calculating the ROI of AI
Roughly 70% of AI implementation challenges stem from people and process issues, not technical problems. That means most ROI calculations are measuring the wrong things. This workshop reframes how your organization evaluates AI investments, moving beyond 'how much does the tool cost' to 'what does the productivity gap cost us, and what does closing it look like.' Your team will leave with a practical measurement framework that ties AI adoption to business outcomes the CFO can actually use.
What your team walks away with
- ROI measurement framework linking AI adoption to productivity outcomes
- Total cost model covering tools, training, governance, and opportunity cost
- Business case template for AI investment decisions
- Metrics dashboard design connecting adoption rates to operational results
AI Governance for Nonprofit Leadership
Nonprofits face unique AI governance challenges: limited IT staff, volunteer board oversight, donor data sensitivity, and staff adopting free-tier AI tools for grant writing and program reporting with zero oversight. This workshop is designed specifically for nonprofit leadership teams navigating AI adoption with constrained resources. You don't need an enterprise budget to build responsible AI governance. You need the right framework for your reality (and budget).
What your team walks away with
- Governance framework designed for nonprofit organizational structures and resource constraints
- Risk assessment methodology for donor data, grant reporting, and program operations
- Board-ready AI governance briefing template for nonprofit boards
- Practical AI use policy tailored to nonprofit staff roles and workflows
You Are The Human In The Loop
AI tools are already in your organization, whether you provisioned them or not. The question isn't whether your people are using AI. It's whether your managers know how to lead teams that do. This workshop equips people managers with the judgment framework for responsible AI decision-making: when to trust AI output, when to override it, how to maintain accountability, and how to build team norms that make governance the path of least resistance instead of an obstacle to productivity.
What your team walks away with
- Decision framework for when AI output requires human review
- Team-level norms for responsible AI use that people actually follow
- Escalation protocols for edge cases and novel situations
- Manager toolkit for coaching direct reports on productive AI use
Shining a Light on Shadow AI
Most organizations discover their AI footprint is 3-5x larger than they thought. Employees aren't usually being reckless, they're solving real problems with tools IT hasn't provisioned because approved alternatives don't exist or take too long to access. This workshop walks your team through the methodology for discovering, classifying, and containing shadow AI use, then building approved pathways that eliminate the incentive for workarounds.
What your team walks away with
- Shadow AI discovery methodology for your specific environment
- Risk classification framework for unauthorized AI tool use
- Containment strategy that addresses root causes, not just symptoms
- Approved tool catalog design with fast-path provisioning for low-risk use cases
For Practitioners + Teams
Hands-on, practical, team-ready
Developing with Claude Code
AI-assisted development changes how teams write, review, and ship code. This hands-on workshop moves your development team from ad hoc AI usage to structured, team-wide implementation with context scaffolding, the practice of organizing project knowledge so AI tools understand your codebase, conventions, and constraints. Teams that implement context scaffolding see faster onboarding, more consistent code, and fewer context-switching interruptions.
What your team walks away with
- Context scaffolding implementation for your team's repositories
- Team conventions for AI-assisted code review and development workflows
- Quality gates and review patterns for AI-generated code
- Governance-aligned usage guidelines that support productivity, not hinder it
Cohort Programs
Go deeper over four weeks
Structured 4-week online programs with live sessions, limited enrollment, and hands-on exercises using your own environment as the case study. Start with the foundations, then go deep on governance or enablement.
AI Governance + Enablement Foundations
Mid-career IT professionals, compliance officers, AI program leads
The foundational cohort covering both functions together. Most organizations get some form of governance or enablement right, though rarely both. This program teaches the methodology for building and operationalizing both at your organization, with hands-on exercises using your own environment as the case study.
Curriculum
- Week 1: The Governance + Enablement Distinction - why most organizations get this wrong, where yours sits, what the gap costs you
- Week 2: Shadow AI Discovery + Governance Foundations - hands-on methodology, policy development sprint
- Week 3: Enablement Program Design - use case identification, approved tool provisioning, champion networks, department-by-department rollout
- Week 4: Measurement + Sustainability - adoption metrics alongside compliance metrics, making governance the path of least resistance
AI Governance Deep Dive
Compliance officers, risk managers, IT governance leads
For professionals who need to go deeper on the governance side. This cohort covers risk frameworks, policy development, vendor evaluation, board reporting, and regulatory landscape in detail, building the operational infrastructure that makes governance work for humans, not just auditors.
Curriculum
- Week 1: Governance Architecture frameworks, organizational models, regulatory landscape, and what 'good' actually looks like
- Week 2: Policy Development + Shadow AI Containment - building policies people follow, discovery methodology, risk classification
- Week 3: Vendor Risk + Third-Party AI Governance - evaluation frameworks, contract requirements, ongoing monitoring
- Week 4: Board Reporting + Measurement - metrics that matter to leadership, incident response, and compliance documentation
AI Enablement Deep Dive
Change managers, department heads, AI champions, L&D professionals
For professionals focused on driving adoption and making AI productive across the organization. This cohort covers enablement program design, champion networks, literacy training, and the change management required to make AI adoption stick, not just launch.
Curriculum
- Week 1: Enablement Architecture - what enablement actually means, why training alone fails, program design principles
- Week 2: Use Case Identification + Tool Provisioning - departmental analysis, approved catalogs, fast-path access for low-risk tools
- Week 3: Champion Networks + Organizational Change - peer learning models, department-by-department rollout, resistance patterns
- Week 4: Adoption Metrics + Sustainability - measuring what matters, tying enablement to business outcomes, building toward permanent staffing
Bring a workshop to your organization
Every workshop is customized to your organization's industry, size, and current AI maturity. Let's talk about what your team needs.