AI with Michal

Team workshops

Workshop on Personal Productivity with AI

Private cohort workshop for managers, directors, and high-performing ICs. These pages spell out format, sample exercises, tooling, logistics, optional post-workshop engineering, and how to book.

Overview

Workshop on Personal Productivity with AI (teams)

Private session for managers, directors, and high-performing ICs who want the same week back: faster drafting with guardrails, calmer meeting prep, clearer doc summaries, and shared norms so assistants do not become shadow IT. You also get skill playbooks from our catalog that run in the tools your company already pays for, so people can customize them and ship the same week.

Different scope: executive roadmap workshop

If you need a management-facing session that starts from leadership context and ends with an org-wide AI roadmap, book AI In Your Business: From Ideas To Roadmap from the team workshops page. This brochure stays on cross-functional productivity habits, norms, and desk loops for managers and high-performing ICs.

View all team workshops

Most AI trainings stop at demos. This one maps work to real desk loops: what may be drafted versus what needs a named reviewer before send, how to prep meetings without forwarding entire chains, and how to summarize internal docs without washing out unknowns.

You leave with prompt patterns and rubrics tied to those loops, not a generic handout. We tie progress to the AI adoption ladder so leaders can name the stage the team is in and pick the next concrete move instead of debating tools. Typical cohort size is 8 to 30 people; larger orgs often split by function or seniority.

If you need an executive-facing roadmap workshop first, book AI In Your Business: From Ideas To Roadmap from the /ai-workshops-for-teams page. Book this productivity workshop when the gap is cross-functional habits, manager modeling, and day-to-day time back for teams that already move fast.

What you leave with

  • Skill playbooks from our store catalog. Your team renames fields, trims steps, and runs them in production the same week.
  • Those skills are built to run in ChatGPT, Gemini, Claude, Cursor, and Microsoft Copilot (Outlook, Word, Teams). We pick the mix that matches your tenant and policy reality.
  • We map maturity using the AI adoption ladder so leaders can show which stage the cohort is in and what to do next.

Optional engineering after the session (OpenClaw, integrations, automation) lives on the Post-workshop support page.