// the build, step by step
How we build your AI sourcing system
You don't get a tool or a stack of shortlists. You get a working system your team owns — sourcing agents, a data layer, and candidate sequencers, wired into your stack and yours to keep. Here's how the build runs.
STEP 01 — MAP
Audit roles, stack & vendor spend
We map the roles you're filling, the tools you already pay for, and what your agencies/RPO cost you today. The output is a blueprint for the exact system you need — not a generic platform.
STEP 02 — SOURCING AGENTS
Build agents that find off-market talent
We build sourcing agents that surface signal-matched, off-market candidates for your roles — running continuously, not as a one-off pull. Targeting first; the bottleneck was never finding people, it was finding the right people.
STEP 03 — DATA LAYER
Wire intent signals into your own store
Tenure, promotions, team changes, and other intent signals flow into a data layer you own — never a vendor's black box, never training someone else's AI to replace you.
STEP 04 — SEQUENCERS
Build sequencers that actually get replies
Personalized, multi-channel sequences (email · LinkedIn · SMS), 4–7 touches over 2–3 weeks. 82% of replies come from follow-ups and personalized outreach replies at ~18% vs ~6% for templates — so we build for that, not spray-and-pray.
STEP 05 — INTEGRATE & TRAIN
Wire it into your stack, train your team
The system plugs into your ATS as system-of-record and your recruiters learn to run and extend it. The capability lives inside your team — not inside a retainer.
STEP 06 — OWN & IMPROVE
You keep it. It compounds.
Every role you run makes the system smarter. We iterate monthly, but there's no lock-in: the agents, sequences, and data are yours. Stop working with us and you keep all of it.