After more than two decades in global talent acquisition across the Middle East, Africa, and Asia-Pacific, Javeed Khan has seen the same hiring failures repeat at scale. Burnout, poor quality, broken systems, and endless friction between recruiters and business leaders. Now, as Co-Founder and Chief Growth and People Officer at TidyHire, Khan is attempting something different. Instead of building another recruitment tool, he is rebuilding the infrastructure itself.
- You describe TidyHire as a Hiring OS with four integrated layers. How do RIA and Charlie actually reduce hiring friction?
- Everyone is shipping AI tools for recruitment. What is the uncomfortable difference between adding AI and rebuilding the entire hiring infrastructure?
- At KPMG, you increased female representation to 45 percent and made real progress on nationalisation. What actually moved the needle beyond intent and policy?
- Where do you personally draw the line between automation and keeping hiring genuinely human?
- Recruiters complain about admin overload. Leaders complain about hiring quality. Who is more responsible for broken hiring outcomes?
- As AI increasingly screens and ranks candidates, what part of hiring should never be automated?
- In the UAE and Saudi markets, localisation is often treated as compliance. What does it look like when it becomes a true competitive advantage?
- Comfort vs. competence: Why most hiring systems fail
In this conversation, Khan explains why most hiring systems fail, where automation helps and where it harms, and why organisations today are hiring for comfort instead of competence.
You describe TidyHire as a Hiring OS with four integrated layers. How do RIA and Charlie actually reduce hiring friction?
Javeed: When we started TidyHire, the intention was never to build something just to sell. I have spent close to 20 years in talent acquisition, and the most consistent problem I have seen is recruiter burnout. Recruiters do not lack capability. They lack time.
Every day, recruiters are buried under applications, emails, scheduling, follow-ups, and administrative work. The real question for me was, how do we make a recruiter’s life easier and bring energy back into recruiting?
That thinking led to the idea of a Hiring OS.
At the core is an applicant tracking system, but unlike most systems in the market, it is not built to manage candidate workflows. It is built to manage recruiter and hiring manager workflows. Most ATS platforms manage applications, not the people doing the hiring.
RIA and Charlie sit on top of that system.
RIA, our Recruiting Interactive Assistant, engages with every applicant the moment they apply. She acknowledges the application, thanks them, and asks basic screening questions such as notice period, salary expectations, and reasons for switching. It feels like a conversation, not a form.
Once that interaction is complete, the application moves to Charlie.
Charlie conducts the first round of interviews across roles and skill sets. This matters because today a large percentage of resumes are optimised to job descriptions using freely available language models. Keyword matching only gets you so far.
Instead of relying on resumes, we wanted real conversations. Charlie evaluates candidates through task-based discussions rather than standard question-answer formats.
The final layer is people.
We also provide recruiters trained by us, so organisations can use a hybrid model. They can adopt the technology alongside our recruiters, train their internal teams, and eventually transition fully to the platform.
People, process, and technology working together are what make it a Hiring OS. It is not just a product or a service. It is an ecosystem.
Everyone is shipping AI tools for recruitment. What is the uncomfortable difference between adding AI and rebuilding the entire hiring infrastructure?
Javeed: AI should scale processes, not replace judgement.
None of our tools tells recruiters or hiring managers who is right or wrong. They only enable better decisions. Even when Charlie evaluates a candidate, it presents insights and asks humans to review them.
Most recruitment tools today are fragmented. One tool screens, another schedules, another assesses. Very few handle the full hiring journey.
When we built TidyHire, we did not want to replace everything companies already use. Most organisations already have systems. So our approach was to build around them and strengthen what exists.
This is not about selling AI. It is about enabling infrastructure.
The uncomfortable truth is that hiring problems are infrastructure problems. Tools alone cannot fix them.
At KPMG, you increased female representation to 45 percent and made real progress on nationalisation. What actually moved the needle beyond intent and policy?
Javeed: We never treated diversity as a checkbox exercise.
When we increased female representation from 25 percent to 45 percent, the first question we asked was not who we hire today, but what happens to these roles after 18 months.
We identified roles that could sustain without backfilling after that period. That fundamentally changed how we designed the hiring strategy.
The second part was manager capability. Bias does not disappear because policies exist. Managers needed to be trained on conscious and unconscious bias, because resumes were still being rejected for the wrong reasons.
For nationalisation, especially Emiratisation and Saudisation, the challenge was different. Many local hires were entering private-sector environments they had never been exposed to before.
So we built support systems such as buddy programmes, mentors, and safe spaces where people could ask questions without fear of judgement.
This was never an HR-only initiative. Recruiters, hiring managers, HR partners, and leaders all owned it together. Once that alignment happened, execution became much easier.
Where do you personally draw the line between automation and keeping hiring genuinely human?
Javeed: Hiring must always be human-led.
Technology should remove noise. Humans should handle judgement.
AI should manage upstream work such as application receipt, screening, scheduling, filtering, and funneling. That is where most of the noise exists.
Humans should focus on downstream work, such as salary negotiations, relocations, workforce planning, and handling candidate and hiring manager anxieties.
Machines cannot read emotional signals. They cannot understand fear, ambition, or uncertainty. That is where recruiters add real value.
Recruiters complain about admin overload. Leaders complain about hiring quality. Who is more responsible for broken hiring outcomes?
Javeed: Neither. These are symptoms of a broken playbook.
Leaders want high-performing candidates. That is not unreasonable. The mistake recruiters make is dismissing those expectations instead of probing deeper.
The solution is to ask why. Ask it multiple times.
Recruiters should not be order-takers. They need business acumen and a deep understanding of what the role truly requires.
At the same time, many business leaders do not understand what good hiring looks like. There is an education gap.
In earlier roles, I used to replay recorded interviews to hiring managers every quarter. Many were surprised by how they came across.
Unless you hold up that mirror, the conflict between recruiters and leaders never ends.
As AI increasingly screens and ranks candidates, what part of hiring should never be automated?
Javeed: Onboarding should never be automated.
The first few months of employment are emotionally critical. Automation cannot understand why someone joined or what they are feeling.
Offer negotiations should also never be automated. Salary discussions are deeply personal. No technology can interpret the emotional weight behind those conversations.
At least two rounds of human interviews should always exist.
Automate upstream work. Protect downstream moments.
In the UAE and Saudi markets, localisation is often treated as compliance. What does it look like when it becomes a true competitive advantage?
Javeed: Localisation works when organisations design clear career pathways, mentorship, internal networks, and performance parity.
People stay when they feel included, not categorised.
Most companies focus on hiring locals to meet quotas. Very few ask whether those employees will stay, grow, and lead.
When localisation is treated as an inclusion strategy rather than a compliance task, it becomes one of the strongest long-term advantages an organisation can build.
Comfort vs. competence: Why most hiring systems fail
According to Javeed, the real crisis in hiring today is that organisations are optimising for comfort, not competence. Hiring managers look for people who resemble their last successful hire. Recruiters chase quick wins to close roles faster. HR focuses on ensuring boxes are checked. None of this builds strong or resilient teams.
When judgement is automated, mediocrity scales. Comfort becomes the default hiring criterion. Systems reward familiarity over capability, speed over substance. Technology, when misused, ends up reinforcing bias rather than removing it.
Hiring for competence requires human judgement. It requires discomfort, challenge, and deeper evaluation. Automation can support the process, but humans must remain accountable for the decisions that shape teams and cultures.
