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For Indian SMEs, hiring is not just about filling vacancies—it’s about protecting profitability. A single bad hire can quietly drain lakhs of rupees through lost productivity, repeated recruitment, training costs, and team disruption.
With rising attrition and competitive talent markets, traditional hiring methods often fail to detect mismatches early. This is where AI-powered screening is transforming recruitment by minimizing risk and maximizing hiring accuracy.
Many SMEs underestimate how expensive a wrong hire can be. Beyond salary, several hidden costs add up quickly.
📊 Industry insight:
For Indian SMEs, the cost of a bad hire can range from 1.5x to 3x the annual salary of the employee—often amounting to ₹3–10 lakhs or more per role.
High attrition multiplies hiring losses, especially in sales, IT, customer support, and operations roles.
For SMEs operating on thin margins, repeated hiring mistakes can stall growth completely.
AI-based hiring tools analyze more than just resumes. They evaluate skills, behavior, job-fit, and performance indicators before a candidate is hired.
By improving hiring accuracy, AI screening directly impacts the bottom line.
Even preventing one wrong hire per year can save SMEs multiple lakhs, making AI-driven recruitment far more cost-effective than traditional methods.
AI screening helps SMEs hire right the first time, not repeatedly.
A bad hire is an employee who fails to meet performance expectations, leaves early, or negatively impacts team productivity.
Typically between 1.5x to 3x of the employee’s annual salary, including direct and indirect losses.
Yes. AI screening often costs less than repeated recruitment and significantly improves hiring ROI.
No. AI supports recruiters by improving shortlisting accuracy, while final decisions remain human-led.
Sales, IT, customer support, operations, and high-attrition roles benefit the most.
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