HR & Recruiting

Async pre-screen interviews with transcription and competency scoring

Send candidates an asynchronous chat/video interview, automate the first-touch pre-screen at scale, transcribe and structure responses, score against a competency rubric, and generate a recommendation (Proceed / Hold / Reject) pushed into the ATS before recruiter involvement.

Why the human is still essential here

Recruiters determine the interview criteria and guardrails, interpret results in context, and make final hiring decisions; AI speeds up early-stage assessment and data capture while keeping humans in control.

How people use this

One-way video interview screening

Candidates complete timed, on-demand video responses to standardized questions, enabling consistent early evaluation before live recruiter calls.

HireVue / Spark Hire

Chat-based asynchronous pre-screen

A recruiting chatbot runs an on-demand Q&A to collect eligibility, compensation expectations, and role-fit signals before scheduling any human time.

Paradox (Olivia) / XOR

Transcription-based competency scoring and recommendation

Recorded answers are transcribed, mapped to a competency rubric, and summarized into a Proceed/Hold/Reject recommendation that syncs back to the ATS.

Whisper / GPT-4o

Structured interview notes pushed to the ATS

After an AI-led pre-screen, responses are summarized into consistent interview notes and automatically synced into the ATS for the hiring team.

Phenom / iCIMS

Community stories (2)

LinkedIn

I’ll be honest.

I’ll be honest.

I did not want an AI recruiter.


We’re in the people business.

Our reputation is built on relationships.

And I’ve spent 20+ years telling clients that great recruiting is instinct, judgment, and nuance.


So the idea of introducing a digital, agentic recruiter into Tier4 Group?

It felt… risky.


What if candidates hated it?

What if it diluted our brand?

What if it made us feel transactional?


But here’s what leadership really is:


It’s not protecting what’s comfortable.

It’s testing what’s possible.


So we built Taylor, powered by AlexAI.

And we measured everything.


Here’s what actually happened in our first 12 months:

11,500+ completed interviews

38,000+ invitations sent

30% completion rate

84% of candidates rate the experience 4/5 or higher


That 84% stat stopped me in my tracks.


Because I care deeply about candidate experience. It’s personal. Our name is on it.


What I’ve learned:


Taylor (AI) doesn’t replace our recruiters.

It replaces friction.


It doesn’t remove humanity.

It removes back-and-forth scheduling emails at 9:30 at night.


It doesn’t make decisions.

It creates structured insight faster so our humans can make better ones.


And here’s the part no one talks about enough...


Sometimes as founders, we resist change not because it’s wrong… but because it challenges our identity.


I built my career on being the person in the room reading between the lines.


But scaling that instinct requires tools.


Taylor hasn’t made us less human.

It’s made our humans sharper.


More time advising.

More time closing.

More time building trust.


We’re still learning. We’re still refining.


But I’m glad I didn’t let fear win.




Oh, and here are some stats I asked our team to pull on the time it would have taken a human to complete all of those interviews and the tasks associated with them. Go ahead and tell me we made the wrong move... I'll wait.


10,650 hours = about 266 full-time weeks of work (at 40 hrs/week)

That’s about 5.1 FTE-years (assuming ~2,080 hrs per year per person)

BR
Betsy RobinsonFounder + CEO at Tier4 Group
Mar 3, 2026
LinkedIn

I Built a Full Hiring Automation System And It Changes Everything for Recruiters

I Built a Full Hiring Automation System And It Changes Everything for Recruiters

Most organisations are still hiring the way they did 10 years ago manually sourcing profiles, reading every resume, sending copy-paste messages, and scheduling endless intro calls.


I designed a system that flips that entirely.


Here's how an end-to-end AI-powered hiring automation pipeline works — and why your recruiting team needs it NOW 👇


🔍 STEP 1 — Smart Sourcing (300–400 Profiles Per Role, Per Day)

I built the system to auto-generate Boolean search queries based on must-have skills, job titles, and dealbreakers — then pull 300–400 matching profiles daily from LinkedIn and Naukri directly into your ATS/CRM. No manual hunting. No missed talent.


🧠 STEP 2 — AI-Powered Screening (2-Layer Filter)

Every resume is parsed into structured data — skills, experience, companies, education, and seniority level — then scored using a two-layer approach I designed:

✅ Layer 1: Rules-based filtering (removes candidates missing must-haves instantly)

✅ Layer 2: AI Scorecard (GPT-4o / Claude) — evaluates skill match, project relevance, career stability and flags risk signals like job-hopping or skill gaps, with written reasoning and quoted evidence from the resume.

Recruiters only see candidates who are actually qualified.


✉️ STEP 3 — Personalized Outreach at Scale

Forget generic InMails. I integrated AI to draft hyper-personalized messages referencing each candidate's specific skills, current role, and standout projects — then run multi-step follow-up sequences automatically. Reply classification (Interested / Not Now / Wrong Person) is handled by AI so your team spends zero time sorting inboxes.


🎤 STEP 4 — Async AI Interviews (Before a Recruiter Ever Joins)

I added an async interview layer where interested candidates receive a chat or video interview link they complete on their own time. The system transcribes responses, scores competencies, flags weak answers, and pushes a full recommendation (Proceed / Hold / Reject) into the ATS — before a single recruiter minute is spent.


🛠️ The Tech Stack I Used

ATS/CRM: Greenhouse / Lever

Workflow Orchestration: n8n → Airflow

Data: Postgres + S3 + Pinecone (Vector DB)

AI Layer: GPT-4o / Claude + embeddings

Parsing: Affinda, Sovren, DaXtra

Outreach: Lemlist, Reply.io, Apollo

AI Interviews: HireVue or custom-built with Twilio + Whisper + LLM



The result? Recruiters stop doing administrative work and start doing what they're actually great at — building relationships and making great hiring decisions.


This isn't the future of hiring. It's happening right now.


🎥 Watch the full video breakdown above to see how each piece connects.


If you're in HR, Talent Acquisition, or building recruiting tech, drop a comment or DM me. Happy to share the full system design.


♻️ Repost if you think every recruiting team should see this.

SS
Shailove SinghAI Engineer
Feb 26, 2026