Resumes lie. Interviews get proxied. Joiners ghost on day one. And every hiring manager pays the price in revenue, attrition, and reputation.
IT services and product companies in India and globally hire at relentless scale. From mid-sized SIs running 5,000-engineer benches to product startups racing to ship, hiring is the single biggest growth lever and the single biggest leak. Each role you mis-hire costs 6 to 9 months of salary in lost productivity, rebadging, and project slippage.
Real scenarios. Real cost. Ranked by severity and average dollar impact per incident.
Higher score = higher business risk (0-100)
Indicative loss per failed hire / event
Scenario: An engineer claims 6 years on React with three Fortune 500 clients. Two weeks in, you discover the GitHub is empty, the references are friends, and the LinkedIn was edited last week.
Scenario: The candidate aces three rounds of system design. On day one, they cannot explain their own resume project. Someone else cleared the loop.
Scenario: Candidate signs the offer, attends pre-onboarding, then disappears on joining day, often with a counter-offer they never disclosed.
Scenario: 23% of new joiners leave within six months. Most cite mismatched expectations that were never surfaced during interviews.
Scenario: Recruiters rely on keyword stuffing in ATS. 'React + 5y' returns 4,000 profiles, of which 200 are fake and 1,500 are unverified.
Scenario: Clients no longer trust vendor benches. Vendors do not trust the candidate's claims. Candidates do not trust the offer letter will close.
The IT hiring stack was built for a different era - one where resumes were notarised, interviews were physical, and reputation moved through closed networks. In 2026, every layer of that stack has been gamed.
Resumes are AI-rewritten and impossible to verify at scale - keyword density is meaningless.
Remote video interviews opened the door to industrial-grade proxy operations across Tier-2 and Tier-3 cities.
Referrals are now monetised - candidates pay people to refer them, breaking the trust signal completely.
Background checks happen post-offer, by which time the role, the team, and the budget are already committed.
There is no shared, portable record of whether a candidate actually delivered on prior commitments.
Every solution below is built around the same primitive: a verified commitment that both sides sign and that follows the candidate everywhere they go.
% improvement per feature, on a 0-100 scale
What it does: Every candidate signs an enforceable digital commitment that ties their identity, claimed experience, and joining intent.
How it solves it: Government-ID + biometric + employer-attested experience are bound to a tamper-proof commitment record before the interview even begins.
What it does: A live identity check at every interview round, anchored to the same commitment record signed at application.
How it solves it: Random in-interview liveness pings, voice-print match, and screen-share fingerprinting. One mismatch and the commitment is instantly breached on the candidate's permanent trust profile.
What it does: Both the candidate and the company sign a joining commitment with mutual, calibrated stakes.
How it solves it: If the candidate ghosts, their public CommitSure trust score drops and other employers see it. If the company revokes the offer, the candidate is auto-compensated. Ghost rates collapse.
What it does: A single, public, verified track record of every commitment a candidate has kept across employers.
How it solves it: Every completed project, on-time delivery, and clean exit is logged as a kept commitment. Hiring managers see real performance, not LinkedIn endorsements.
What it does: Instead of keyword filters, recruiters filter by commitment trust score, joining-rate, and verified domain experience.
How it solves it: ATS plug-in surfaces only candidates with verified history above a configurable trust threshold, cutting screening time from days to hours.
Every row is a real lever your hiring P&L cares about.
Normalised to 0-100 within each row for visual comparison
Anonymised illustrative scenario · Mid-size IT services firm (1,800 engineers)
TA team of 24 recruiters running 300 monthly closures. 1 in 8 hires turned out to be proxied or misrepresented. Client escalations rose every quarter. Bench utilisation dropped to 71%.
After rolling out CommitSure-verified hiring across all delivery accounts, joining rate jumped to 96%, time-to-hire fell from 58 days to 23, and clients began requesting CommitSure verification by name in MSAs.
Closed offers per month, last two quarters
Share of hidden hiring loss, % of total
Multi-dimensional lift across the candidate trust profile
Bring verified commitments to every offer your team rolls out across it services & product. Watch ghost-rates collapse, time-to-hire compress, and trust become a measurable input - not a hopeful output.