AI with Michal

Team workshops

AI in Recruiting

Private cohort workshop for recruiting teams. These pages spell out format, sample exercises, tooling, logistics, optional post-workshop engineering, and how to book.

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Overview

Workshop on AI in Recruiting (teams)

Private session for TA and recruiting teams. We align intake, sourcing, outreach, screening, and reporting on shared prompts, checklists, and verification rules. You also get skill playbooks from our catalog that run in the assistants your company already pays for, so people can customize them and ship the same week.

Different offer: leadership advisory

If you need a facilitated diagnostic and a written roadmap with executives before you train recruiters, use the Recruiting AI Workflow Advisory sprint. It covers priorities, trade-offs, and owners at leadership level. This brochure is for hands-on team delivery, not that sprint.

View the advisory sprint

Most AI trainings stop at demos. This one maps work to your funnel: who edits the JD after HM intake, who runs boolean vs AI-assisted sourcing, who signs off before a candidate email goes out, and where notes live so the next person is not starting over.

You leave with prompt patterns and rubrics tied to those steps, not a generic handout. We tie progress to the AI adoption ladder so TA can name the stage the team is in and pick the next concrete move instead of arguing about tools. Cohort size is usually 6 to 25 recruiters, coordinators, or sourcers; bigger orgs often split by seniority.

This is not the same product as the board-level advisory sprint. Book the advisory sprint when you need leadership alignment, a diagnostic, and a written roadmap with executives. Book this workshop when the gap is team-wide habits, standards, and artifacts.

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 TA can show leadership which stage you are in and what to do next.

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