Скачать или смотреть From Manual Sourcing to AI Systems: Building an AI Talent Acquisition Engine

Most teams in talent acquisition don’t lose because they can’t find candidates.
They lose because they can’t consistently find the right candidates at the right moment for each role.

In this video, I sit down with the founder of a tech recruiting firm that has spent 10+ years filling engineering roles for venture‑backed companies in the US, Canada, the UK and Europe. We walk through how we’re moving from manual sourcing to AI‑driven systems for talent acquisition.

What we cover in this conversation:

How their team used to source candidates manually across LinkedIn, GitHub, Twitter and spreadsheets
Why “getting to the right list” is the real bottleneck in staffing and internal TA teams
How we’re building an AI recruiting engine that matches open roles to high‑quality candidates automatically
How enrichment + scoring helps separate true “champion” candidates from the noise
The impact on time‑to‑shortlist, recruiter workload and candidate/client experience

This isn’t about playing with prompts or bolting a chatbot onto your ATS.
It’s about turning your team’s judgment into a repeatable AI system that quietly runs in the background—so you can run more searches, move faster on great talent, and give hiring managers a better slate of candidates.

If you run a staffing agency or in‑house talent acquisition team in the US, UK, Canada, Europe or the Middle East and you’re serious about:

Reducing manual sourcing hours
Improving relevance of every outbound campaign
Building durable AI infrastructure around your recruiting process

…this breakdown will give you a clear, practical example of what “AI recruiting systems” can look like in the real world.

0:00 – Why manual sourcing is breaking talent acquisition
1:12 – How this recruiting firm ran searches before AI
3:05 – The moment we realized “the list” was the real bottleneck
5:02 – Designing an AI talent acquisition engine (not just another tool)
7:45 – Matching open roles to high‑intent candidates automatically
10:18 – Enriching and scoring the talent pool (finding “champion” candidates)
13:06 – Impact on time‑to‑shortlist and recruiter workload
16:22 – What this means for staffing agencies and internal TA teams
19:10 – How to think about AI systems for your own talent acquisition


📌 Learn more about Effi Flo (AI recruiting systems for staffing agencies and TA teams): www.effiflo.com

📌 Connect with me on LinkedIn: www.linkedin.com/in/deeps11