We tell companies to start with one project and let the results decide what comes next. So we did it ourselves. One project-based engagement, live in 45 days, and our recruiters got 10 hours of their week back.
TGTC places vetted global talent into full-time roles at US and European companies. Speed is the product: clients get a shortlist of 5 to 7 vetted candidates within 14 days. And we had an unusual asset sitting idle: a library of 100,000+ candidates who had already completed skills-based assessments, with no way to search it properly.
Sourcing was manual. For every new role, recruiters searched from scratch, screened profiles one by one, and ran outreach by hand. The assessment library was effectively unsearchable at that scale, so recruiters defaulted to fresh sourcing even when the right candidate was already in the database.
We did what we advise our clients to do: brought in an AI engineer on a project basis, with a tightly scoped first build. Total time from kickoff to a fully running system: 45 days.
One embedded AI engineer, three functions, one system.
Consolidated the 100,000+ assessed candidates into one structured, enriched database, with identifiers and assessment data attached to every profile.
Instead of keyword filters, recruiters describe the role and the system surfaces the closest matches from the existing library, ranked and ready to review.
Matched candidates flow into automated, personalized outreach, so contact starts the same day a role opens instead of days later.
The compounding effect matters more than any single number. Every assessed candidate we've ever met is now findable in seconds, so the database gets more valuable with every search. Recruiters spend their week on judgment calls and candidate conversations instead of manual searching. And the 14-day shortlist promise got easier to keep as we grew, not harder.
This is the same model we sell. One scoped project, one embedded AI engineer, measurable results in weeks. And the wider point: we are deep in this world ourselves. AI automation runs inside our own operation every day, so what we build for clients comes from practice, not theory. We didn't ask anyone to trust the model before we ran it on our own business.
Pick the workflow that eats the most hours on your team. We'll scope it, build it, and you'll see results in weeks, the same way we did.
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