From 45 Days to 10 Days: Build a High-Speed Hiring Engine with AI

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Scrini AI

From 45 Days to 10 Days: Build a High-Speed Hiring Engine with AI

By: Abhyodaya Siddhartha65 Minutes

In hiring, speed wins. The best candidates are off the market in days, clients give roles to whoever submits first, and every extra week in your process quietly costs you talent, money, and trust. Yet most hiring still takes 30, 45, even 60 days - not because teams aren't working hard, but because the process depends entirely on human bandwidth at every step.

Sourcing, screening, scheduling, follow-ups - each stage waits for a person to get to it. When recruiters are stretched, the whole pipeline slows down, and great candidates slip away while you're still "aligning internally."

AI changes the math. AI agents can source continuously, screen at scale, and coordinate interviews around the clock - turning a slow, manual chain into a fast, always-on hiring engine. The result isn't a slightly quicker process. It's a fundamentally different speed of hiring: from 45 days down to 10, without cutting corners or lowering quality.

In this session, we'll break down exactly where time is lost in a typical hiring process, how an AI-powered hiring engine compresses each stage, and what it takes to build one in your own organization. You'll see the real before-and-after, the metrics that change, and a practical path to start hiring at speed.

This isn't theory. High-speed, AI-driven hiring is already here - and the teams using it are winning the candidates everyone else is too slow to catch.

72 professionals have already enrolled

Abhyodaya Siddhartha

Product/Tech/Business Leader

Product | Tech X GenAI | Strategy | Marketing | IIM A

From 45 Days to 10 Days: Build a High-Speed Hiring Engine with AI

1. Why Hiring Is Still So Slow

Where the days actually go: sourcing, screening, scheduling, follow-ups
The hidden cost of every week a role stays open
Why "work harder" never fixes a bandwidth problem
What slow hiring really costs — in talent, money, and client trust

2. The True Price of a Slow Process

Losing top candidates to faster competitors
Rising cost-per-hire and lost productivity from open roles
For staffing firms: lost placements and damaged client relationships
Why speed has become the single biggest hiring advantage

3. What a High-Speed Hiring Engine Looks Like

Reframing hiring as an engine, not a series of manual tasks
The shift from human-paced to AI-paced hiring
How an always-on pipeline replaces start-stop workflows

4. How AI Agents Compress Every Stage

Continuous, around-the-clock sourcing
Screening at scale without reading every resume
Automated interview scheduling and coordination
Instant follow-ups so no candidate goes cold

5. From 45 Days to 10: The Before and After

A stage-by-stage breakdown of where the time disappears
The metrics that change: time-to-hire, cost-per-hire, candidate drop-off
A real before-and-after of an AI-powered hiring process

6. Speed Without Sacrificing Quality

How to move fast while protecting candidate experience and fairness
Keeping humans in control of the decisions that matter
Avoiding the common mistakes teams make when they speed up

7. Building Your Own High-Speed Hiring Engine

A practical starting path for the next 90 days
Where to begin for the fastest, lowest-risk return
What it takes to make speed a permanent advantage
Live Q&A

Staffing & recruitment agency owners

CEOs

COOs

recruitment and TA heads

CHROs

and operations leaders who want to hire faster without losing quality.

Success stories

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