AI with Michal

Team workshops

Workshop on Sourcing with AI

Private cohort workshop for sourcing teams and TA pods who own discovery and top of funnel. These pages spell out format, sample exercises, tooling, logistics, optional post-workshop engineering, and how to book.

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Overview

Workshop on Sourcing with AI (teams)

Private session for sourcing pods and TA teams who own top of funnel. We align discovery, market mapping, list building, first-touch outreach, and handoff to recruiters 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 scope: full-funnel recruiting workshop

If you need intake, screening depth, hiring-manager memos, and reporting across the funnel, use the Workshop on AI in Recruiting brochure. This page stays on discovery, lists, first-touch outreach, and recruiter handoff.

Open the recruiting workshop brochure

Most AI trainings stop at demos. This workshop stays narrow on sourcing: written market context, parallel manual and AI-assisted research plans, outreach variants with a policy pass, and a handoff pack recruiters can use without a live shadowing session.

You leave with prompt patterns and rubrics tied to those steps, not a generic handout. We tie progress to the AI adoption ladder so leads can name the stage the pod is in and pick the next concrete move instead of arguing about tools. Typical cohort size is 6 to 25 sourcers or recruiters who still own search; larger orgs often split by market or seniority.

If you need intake through hires, screening depth, and hiring-manager memos, book the full-funnel workshop on AI in recruiting instead (/ai-workshops-for-teams/recruiting-ai/overview). Book this sourcing workshop when the gap is discovery, coverage, list quality, first-touch messaging, and proof of work at the top of the funnel.

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 sourcing leads can show which stage the pod is in and what to do next.

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