Personal AI Posture Baseline
Understand how you currently use AI, where your capabilities are strong, and where improvement will have the greatest impact.
A hands-on workshop for professionals who want to use AI to produce better work, make stronger decisions, and build repeatable AI-assisted workflows.
Participants move beyond experimenting with AI and learn how to deliberately combine human expertise, AI capability, trusted evidence, validation, and repeatable work practices.
Participants do more than learn concepts. They build practical assets they can immediately use in their work.
Understand how you currently use AI, where your capabilities are strong, and where improvement will have the greatest impact.
Identify which parts of your work benefit from AI, which require human judgment, and where additional controls are needed.
Develop prompts and interaction patterns based on your actual work instead of generic demonstrations.
Convert a real task into a repeatable human-and-AI workflow with clear stages, responsibilities, and handoffs.
Capture sources, evidence, validation, ownership, and reflection behind important AI-assisted work.
Leave knowing what to practice, where to apply AI next, and how to determine whether it is actually improving your work.
Most professionals can get an AI system to generate text, summarize information, or suggest ideas.
The harder challenge is knowing how to make AI consistently useful without weakening judgment, credibility, or ownership of the result.
The workshop follows the six stages of the AI-Augmented Operating System. AAOS gives participants a repeatable way to decide where AI belongs, how to use it responsibly, and whether it improves the work.
Examine current workflows, AI behaviors, consequence levels, strengths, gaps, and priority opportunities.
Strengthen the human and AI capabilities most important to reliable performance in your work.
Establish sources, validation practices, ownership, escalation, and appropriate safeguards.
Apply AI to a real task using structured prompting, repeatable workflows, and clear human responsibility.
Evaluate output quality, correction effort, reliability, validation burden, and real-world usefulness.
Capture reusable prompts, workflows, controls, and standards only after evidence shows they are worth repeating.
Participants work with real tasks and examples throughout the session. The workshop is highly interactive and designed around doing, evaluating, and improving — not passive tool demonstrations.
Use the Individual Readiness Assessment and Posture Matrix to identify current behaviors, opportunities, and improvement targets.
Takeaway: Personal AI posture baseline.
Identify where AI can assist, where human expertise remains essential, and where risk or consequence requires additional controls.
Takeaway: Task-to-AI map.
Practice structured prompting, constrained prompting, role-based interaction, grounding, and iterative improvement using real work examples.
Takeaway: Prompt library and working AI-assisted asset.
Examine evidence, sources, assumptions, correction burden, ownership, and the conditions required before relying on AI output.
Takeaway: Validation checklist and Integrity Packet.
Convert a successful interaction into a reusable workflow with stages, prompts, inputs, validation points, and handoffs.
Takeaway: Reusable AI-assisted workflow template.
Determine what to expand, improve, hold, or stop and identify the next opportunities for practical AI adoption.
Takeaway: Personal AI action plan.
Full-day workshops provide additional hands-on exercises, deeper workflow development, expanded validation practice, and more time working with participant-specific use cases.
This workshop is appropriate for participants across business, government, education, technology, and professional services.
No coding or advanced AI experience is required.
The workshop is not built around memorizing the features of a particular AI product.
Participants learn how to choose the right work, structure the interaction, validate the result, preserve human ownership, and improve the workflow.
Specific AI tools will change. These capabilities remain useful.
Before the workshop, we identify participant roles, priority workflows, organizational constraints, consequence levels, and desired outcomes.
We then adapt the examples, exercises, and emphasis while preserving the core workshop structure. Participants learn with scenarios that resemble the work they actually perform rather than generic AI examples.
A focused introduction to AI-Augmented work with practical exercises, workflow mapping, validation, and a personal action plan.
Adds deeper hands-on practice, more participant use cases, expanded workflow development, and additional validation exercises.
Combine the workshop with follow-up working sessions to review results, improve workflows, and help participants turn successful experiments into sustainable practices.
Workshops can be delivered onsite or virtually and adapted for intact teams, cross-functional groups, professional communities, or organization-wide capability programs.
Tell us about your participants, the work they perform, and what you want them to accomplish. We'll help determine the right workshop format.