A licence by itself isn't a workflow. Your recruiters need someone to rebuild their daily process around AI instead of giving them another tab to ignore.
Generic prompts produce generic outreach, because the leverage is in niche-specific instructions, grounded research, and skills built around your actual desk.
The AI tooling for recruiting moves quarterly, so you need someone who lives in this every day and translates it back to your team on a weekly cadence.
You don't want someone reading prompt-engineering blog posts at you. You want someone who has placed candidates, run a desk, and can translate AI into the specific workflows you already know.
Live working sessions. We rebuild a specific recruiter workflow with your team in the room. By the end of the call, the workflow ships.
You hit a wall on a prompt, a skill, a deal. You message. We respond same-day. No ticket queue, no junior account manager.
Your niche, your job orders, your ATS, your wins and losses. The training isn't theoretical — every example uses your real work.
Every workflow we rebuild gets documented in a brand-tight playbook. Your team references it daily. New hires get up to speed instantly.
You're not on a list. You work directly with the operator running the engagement. One human, one inbox, fast answers.
We watch your team work. Map the bottlenecks. Pick the highest-leverage workflow to rebuild first.
Live session: we rebuild that workflow with Claude and AI in front of your team. Working code, running on a real job order, by the end of the call.
Your team runs the new workflow on live deals. We're on async standby. We catch what breaks, write the playbook.
Review the wins. Pick the next workflow. Loop. Every month, your team gets sharper than the last.
Billed monthly in advance, no minimum term, no exit fees. If the engagement stops producing for your team you cancel the next cycle and the work we've already built stays with you.
If the engagement is right for your team we'll scope the first workflow we'd rebuild together on the call. If it isn't, we'll say so.