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.
Problems we solve
Where recruiting work breaks, and what we fix
The workshop follows your funnel, not a vendor feature list. Each block lists symptoms we hear often, then what we build in the room so the team leaves with the same playbook.
Intake & role clarity
Symptoms
- Hiring managers send vague intake; recruiters burn time rewriting JDs.
- Must-haves drift mid-search; debriefs disagree on what “good” looked like.
Workshop focus
HM-ready clarifying questions, falsifiable must-haves, and screen guides that stay stable through the search.
Sourcing & market mapping
Symptoms
- Boolean skill is uneven across the team; some rely on one channel or one keyword stack.
- AI trials look good in the room but do not show up the same way in production sourcing.
Workshop focus
Parallel plans: classical and AI-assisted paths merged into a weekly execution checklist with quality gates.
Outreach & candidate experience
Symptoms
- Templates read AI-generated; response rates stall and brand risk rises.
- Teams are unsure what claims are safe in regulated or enterprise environments.
Workshop focus
Rewrite loops with specificity, proof, and policy flags, plus a short red-team pass before send.
Screening & evidence
Symptoms
- Screening notes are paragraphs; hiring managers re-read everything or trust vibes.
- Fear of bias pushes teams toward “no AI” instead of structured, auditable assistance.
Workshop focus
Evidence-linked memos, rubric-based evaluation, and explicit unknowns so every claim ties back to notes or says “not evidenced”.
Scheduling, debriefs, offers
Symptoms
- Operational drag shows up late: slow HM loops, inconsistent debrief capture, offer-stage surprises.
Workshop focus
Operational templates that reduce back-and-forth while keeping human ownership at decision points.
Reporting & stakeholder comms
Symptoms
- Weekly updates are long narratives; leadership cannot see bottlenecks.
Workshop focus
Exec-ready summaries that never invent metrics, plus validation questions when data is missing.
You are in the right place if…
- You have mixed AI skill levels on the team and need one baseline and one set of written standards.
- You bought tools, but only part of the team uses them; the fix is workflow and ownership, not another feature tour.
- You need written rules for what may leave the building, what must be verified, and who signs off.
- You need hiring managers to trust AI-assisted work because they can see sources, unknowns, and edit history.