Workshops
AI Workshops That Move Teams From Awareness to Application
What these workshops deliver
Martin Zialcita offers six workshop formats that take teams from foundational AI understanding into practical application, covering implementation strategy, digital workforce design, AI marketing systems, responsible governance, agent automation, and AI search visibility. Each workshop is designed for a specific audience and ends with a usable deliverable, not just shared knowledge. Commercial booking routes through AI Marketing Box.
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Key takeaways
- Each workshop ends with a deliverable the team can use immediately: a plan, a policy, or a configured system.
- Prerequisite levels vary; check the workshop description to match your team's starting point.
- Most workshops can be customized for specific industries, organizational contexts, or time constraints.
- Commercial fulfillment and pricing are handled through AI Marketing Box.
How these workshops are structured
Every workshop in this catalog follows the same structural principle: the session is organized around a problem the team actually has, not a topic syllabus. Instruction time is balanced with application time; teams work on their own situation during the session rather than analyzing generic case studies.
Deliverables are scoped to what a team can realistically complete in the session and use the following week, not frameworks they will revisit when they find time. Most workshops include at least one decision or output the team can act on before the session ends.
For engagements that combine a workshop with follow-on implementation, contact the AI Marketing Box.
Principle
A workshop that ends with only shared understanding has done half the job. The measure of a good session is whether the team's next meeting is more specific than the workshop itself.
Executive AI Implementation Workshop
For senior leadership teams (executive directors, C-suite, and department heads) who need to make informed decisions about AI adoption without getting pulled into technical detail.
- Audience
- Executive teams, boards, and senior leadership. Typically 5–20 participants.
- Problem addressed
- Leadership teams have heard enough about AI potential and need a structured way to evaluate what applies to their organization, what the risks are, and what a realistic first step looks like.
- Duration
- Half day (3–4 hours). Full-day option available for larger teams or organizations with multiple workstreams.
- Learning outcomes
- Participants will be able to distinguish AI use cases that fit their organization from those that do not; identify the governance questions that must be answered before deployment; and assign clear ownership to the next step.
- Deliverables
- A prioritized list of AI use cases for the organization, with a preliminary risk and feasibility assessment; a set of governance questions that need answers before any implementation begins; and a named next action with an owner.
- Prerequisites
- None. Designed for leaders who are not technical practitioners.
- Customization
- Industry-specific framing available. Can be structured around a specific strategic initiative rather than general AI adoption.
- Booking route
- Contact form with inquiry type set to “speaking or workshop,” or through AI Marketing Box for bundled engagements.
Building Your Digital Workforce
For operations leaders and team managers who are responsible for figuring out where AI agents and automation fit into their team's workflow and who need to make those decisions thoughtfully rather than reactively.
- Audience
- Operations managers, team leads, and department heads. Typically 8–25 participants.
- Problem addressed
- Teams are adopting AI tools individually and informally, without a shared framework for where agents should and should not operate, how to supervise them, or how to handle failures.
- Duration
- Full day (6–7 hours including breaks). Half-day abbreviated version available.
- Learning outcomes
- Participants will be able to map their current workflows against AI-appropriate and human-required tasks; define supervision and oversight requirements for any agent system they deploy; and establish a basic governance structure for their team's AI use.
- Deliverables
- A workflow map showing human-required and AI-appropriate tasks; a draft agent design for one high-priority workflow; and a team-level governance policy outline that can be formalized after the session.
- Prerequisites
- Participants should be familiar with at least one AI tool currently used in the organization. No technical background required.
- Customization
- Available with a focus on a specific department or function (marketing, operations, client services, grant management). Sector-specific examples used where relevant.
- Booking route
- Contact form with inquiry type set to “speaking or workshop,” or through AI Marketing Box.
Practical AI Marketing and Revenue Systems
For marketing leaders, revenue teams, and founders who need to connect AI to the commercial engine of their organization: lead generation, CRM, follow-up, and the systems that turn attention into revenue.
- Audience
- Marketing directors, revenue operations teams, founders, and business development leads. Typically 5–15 participants.
- Problem addressed
- AI tools are being used for content and copy, but the systems that drive revenue (lead response, CRM hygiene, follow-up sequences, and marketing-to-sales handoff) are not connected to AI in a way that actually closes gaps.
- Duration
- Half day (3–4 hours). Can be extended to a full day with implementation time.
- Learning outcomes
- Participants will be able to identify where AI can directly reduce revenue leak in their current system; design an AI-connected lead-response workflow; and distinguish AI-appropriate from human-required steps in their marketing and sales process.
- Deliverables
- A revenue leak diagnostic for the current marketing-to-sales system; a prioritized list of AI integrations with estimated impact; and a basic AI-connected workflow design for one high-priority process.
- Prerequisites
- Participants should be able to describe their current lead generation and CRM setup. Familiarity with at least one marketing or CRM platform.
- Customization
- Adaptable for B2B, B2C, nonprofit donor acquisition, and service-based businesses. Tool-agnostic framing available.
- Booking route
- Contact form with inquiry type set to “speaking or workshop,” or through AI Marketing Box for integrated audit-and-workshop engagements.
Responsible AI Use, Governance and Team Policy
For leadership teams and department heads who need to move from informal AI use to a documented, workable policy that employees will actually follow, without building a compliance bureaucracy.
- Audience
- Executive directors, HR leads, operations managers, and anyone responsible for setting or enforcing organizational policy. Typically 6–20 participants.
- Problem addressed
- Staff are using AI tools in ways no one has formally approved or prohibited, with no shared understanding of what data can be entered into which tools. The organization has risk it cannot see.
- Duration
- Half day (3–4 hours). Includes both instructional and working time.
- Learning outcomes
- Participants will be able to classify their data by AI-use risk; identify the minimum policy requirements for their organization; and draft a basic AI use policy they can finalize and distribute after the session.
- Deliverables
- A data classification framework applied to the organization's actual data categories; a policy outline covering permitted tools, data restrictions, required human review, and escalation; and a named policy owner and review schedule.
- Prerequisites
- None. The session is designed for non-technical participants. A list of AI tools currently in use by the team is helpful but not required.
- Customization
- Available for specific sectors (nonprofit, healthcare-adjacent, education, government) where sector-specific considerations apply. Legal and compliance review is the client's responsibility and is outside the scope of this workshop.
- Booking route
- Contact form with inquiry type set to “speaking or workshop,” or through AI Marketing Box.
AI Agents and Workflow Automation
For operations teams, technical leads, and practitioners who are ready to move beyond AI-assisted tasks and into deploying automated workflows and agents, but need a structured approach to doing it safely.
- Audience
- Operations and systems staff, technical leads, and practitioners who configure or manage business tools. Typically 5–15 participants.
- Problem addressed
- Teams understand that AI agents and automation can handle repetitive workflows but do not have a consistent framework for deciding where to deploy them, how to design them for reliability, or how to maintain oversight once they are running.
- Duration
- Full day (6–7 hours). Includes design exercises and hands-on configuration time for one workflow.
- Learning outcomes
- Participants will be able to distinguish task-appropriate agent uses from high-risk or unsupervised uses; design an agent or automation with defined triggers, actions, failure modes, and oversight checkpoints; and configure and test a basic automated workflow in a tool they currently use.
- Deliverables
- A completed agent or automation design document for one workflow; a configured prototype (scope depends on tools available); and a maintenance and oversight plan for the deployed automation.
- Prerequisites
- Participants should be comfortable setting up or configuring business tools. Familiarity with at least one workflow or automation platform (Zapier, Make, n8n, or similar) is helpful.
- Customization
- Can be scoped to a specific tool stack or workflow category. Advanced participants can work on multi-step or multi-agent systems with appropriate scoping.
- Booking route
- Contact form with inquiry type set to “speaking or workshop,” or through AI Marketing Box for combined design-and-implementation engagements.
AI Search Visibility: SEO, AEO and GEO
For marketing leads, content teams, and SEO practitioners who need to understand how AI-generated search results are changing visibility and what specifically to do about it.
- Audience
- Marketing directors, content leads, SEO practitioners, and founders responsible for digital visibility. Typically 4–12 participants.
- Problem addressed
- Organizations that ranked well in traditional search are seeing AI-generated answers displace their traffic, without clear guidance on what “answer engine optimization” or “generative engine optimization” actually requires, or whether it requires anything different from what they already do.
- Duration
- Half day (3–4 hours).
- Learning outcomes
- Participants will be able to distinguish how answer engines select and cite sources from how traditional search ranks pages; audit their current content against AEO/GEO readiness criteria; and identify the highest-priority content and structural improvements for their specific situation.
- Deliverables
- An AEO/GEO readiness audit of up to five priority pages; a prioritized list of content and structural improvements; and a one-page framework the team can use to evaluate future content against AI-citation standards.
- Prerequisites
- Participants should be familiar with their organization's current content and SEO setup. No technical background required.
- Customization
- Available with a focus on local visibility, nonprofit authority, or a specific industry vertical. Can include review of an existing content library rather than individual pages.
- Booking route
- Contact form with inquiry type set to “speaking or workshop,” or through AI Marketing Box for combined visibility-audit-and-workshop engagements.
Takeaway
A workshop that ends with a shared plan is worth more than one that ends with shared enthusiasm. The deliverable is the test of whether the session worked.
Booking and customization
Most workshops can be adapted for specific industries, organizational sizes, or time constraints. A condensed version of any workshop is available as a shorter session; a deeper version is available when more time and preparation are built in.
For organizations that need a workshop combined with follow-on implementation (for example, a governance workshop followed by a policy draft review), combined engagements are available through AI Marketing Box.
Pricing and availability are handled through AI Marketing Box, not on this page. Use the contact form to start the conversation.
Frequently asked questions
Are these workshops available virtually?
Yes. All six workshops are available as virtual sessions. The preparation requirements and deliverable standards are the same regardless of format. Virtual sessions work best with a committed block of time and limited multitasking from participants.
Can multiple workshops be combined into a training program?
Yes. For organizations that want a multi-session program (for example, starting with Executive AI Implementation and following with the Governance workshop), a combined format can be designed. Contact Martin to discuss structure and timing.
What is the right workshop for a team with no prior AI experience?
The Executive AI Implementation Workshop or the Responsible AI Use, Governance and Team Policy workshop are the best starting points for teams with limited AI experience. Both are designed for non-technical participants and do not assume prior familiarity with specific tools.
What is the right workshop for a technically experienced team?
Teams with hands-on experience configuring tools and building workflows will get the most from the AI Agents and Workflow Automation workshop or the AI Search Visibility workshop. Both include working time with real tools and are scoped for practitioners rather than executives.
Does Martin facilitate workshops for nonprofit organizations?
Yes. Several of the workshop formats are particularly relevant for nonprofits. The Governance workshop, the Executive AI Implementation workshop, and the AI Marketing and Revenue Systems workshop all include nonprofit-specific framing as a customization option. Nonprofit pricing is discussed through AI Marketing Box.
How far in advance should I book?
Workshops require preparation time. Martin will ask for an organizational brief and audience profile before the session. At minimum, allow two to three weeks for scheduling, preparation, and any customization. For workshops with a live configuration component, a pre-session technical check is also required.