How Did an Aussie End Up working with Vouch?
Feb 26, 2026
Andrew Sharpe
Andrew Sharpe has spent years helping companies separate AI theatre from real competitive advantage, and that journey led him to Vouch. In this post he explains why, after stress‑testing the current wave of “AI in hiring,” he chose to join Vouch to help bring genuinely smarter, recruiter‑first AI to Australian businesses.
Andrew Sharpe has spent years helping companies separate AI theatre from real competitive advantage, and that journey led him to Vouch. In this post he explains why, after stress‑testing the current wave of “AI in hiring,” he chose to join Vouch to help bring genuinely smarter, recruiter‑first AI to Australian businesses.
Over the past few years, I’ve been spending more and more time with leadership teams on one core question: How do we adopt AI in a way that actually strengthens the business, not just our slide decks?
That work spans two fronts. On one side, helping companies understand where true AI can create defensible advantage or protect them from disruption. On the other, helping them plug in mature, AI‑backed services across their operating value chain. What’s become clear is that “we’re using ChatGPT” plus a few brown‑bag lunches on prompt engineering is, in most cases, theatre.
One of those conversations led to a simple question: How can AI genuinely help in recruitment?
Down the rabbit hole we went…
I pulled in Ian Basser (who has one of the strongest recruiting track records I know), and together we started stress‑testing the current wave of “AI in hiring.” Very quickly, a few themes emerged.
The Problem with Generic AI in Hiring
Generative AI as a Compliance and Ethics Risk
Even before the EU flagged that using generic Generative AI to review candidates can breach personal information and disclosure requirements, it was obvious something wasn’t right.
Companies were pasting CVs into ChatGPT and asking it for recommendations. That meant pushing candidates’ likely private information into general‑purpose AI models with no real consent and no guardrails. Legally dubious; ethically worse.
Beyond the compliance risk, the approach is fundamentally flawed. These systems were never designed to safely handle high‑stakes hiring decisions with clear traceability and explainability.
Point‑Solution Bots: Faster, Not Better
We then looked at the “AI bots” that automate slices of the hiring process. E.g. Screening calls, bulk assessments, and so on.
On paper, they promised efficiency. In practice, most of them:
Sped up what was already happening, but didn’t improve decision quality
Reduced rich candidate profiles into over‑simplified scores or summaries
Nudged teams toward “automation of recruitment” rather than better recruitment
Most generative AI platforms are inherently reductive. They simplify. But great recruiting is about nuance, context and fit, not just ticking boxes.
AI Sludge and the New Candidate Reality
At the same time, we’re seeing an explosion in both the volume and baseline quality of applications.
Candidates are using AI to craft pitch‑perfect CVs and cover letters against job requirements. On the surface, that sounds great – until you’re the recruiter faced with hundreds of nearly identical applications that all “meet the requirements”.
We heard lines like:
“We shortlist the first 10 applicants that meet our requirements.”
That told us two things. First, the requirements aren’t robust or discriminating enough. Second, in a world where AI can make almost any candidate “meet the requirements,” this is effectively random selection.
It also disadvantages candidates who are currently employed or time‑poor and can’t respond instantly. Many excellent people never make it to a human review.
Most of the “AI” solutions we evaluated simply weren’t designed to handle this new reality. They made the process faster and cheaper, but not smarter or fairer.
What Great Recruitment Actually Gets Right
All of this misses the magic in great recruitment: Going beyond a handful of surface‑level requirements to truly understand who will thrive in a given organisation.
It’s not just “skills and experience.” The best recruiters consider their drive, commitment, persistence, learning velocity, alignment with the team and culture, and more. All of the traits that actually predict whether someone will still be adding value in six months and beyond.
That’s the real metric that matters. Not time‑to‑fill or cost‑per‑hire in isolation, but the value created and the turnover avoided.
In the middle of this exploration, we found Vouch.
Why Vouch Stood Out
Vouch was different from almost everything else we saw.
Rather than using AI to make hiring cheaper and faster at all costs, Vouch uses AI to make recruiters and hiring managers better. The product is built around a simple idea: successful recruitment is measured not by how quickly you fill a role, but by how well those hires stick and perform.
They apply intelligence across the entire recruiting process, not just a single step in the middle.
How Vouch Applies Intelligence Across the Hiring Flow
1. Intelligently Building the Job
Job description writing is one of the most critical, and most poorly executed, parts of recruiting.
With Vouch, you can upload almost anything – previous job ads, role notes, internal docs – and the system helps you turn that into a sharp, structured role definition and job description. It doesn’t just spit out generic text; it interrogates and refines, helping you clarify what you actually need and what success looks like.
You wouldn’t rely on a generic chatbot to diagnose a complex medical issue. You shouldn’t rely on generic, reductive AI to frame one of your most important business decisions: who you hire.
2. Finding the Right Talent Pools
Conventional wisdom says “just post on LinkedIn” and hope for the best. But is that really where your best candidates are?
Vouch helps identify which channels and candidate pools are likely to be the most effective for your role. That means you’re not just posting everywhere and praying, you’re using data and context to go where the right people actually are.
3. Reviewing Applicants with Context, Not Shortcuts
We repeatedly heard stories of teams shortlisting “the first 10” applicants who ticked the boxes, effectively ignoring potentially hundreds of others.
In a world where AI tools help candidates look perfect on paper, that approach is no longer fit‑for‑purpose.
Vouch uses intelligence drawn from reviewing thousands of applicants to help you conduct a smarter first pass. It doesn’t replace human judgment, it augments it. Surfacing the candidates you should look at and why, while keeping as many strong options in play as possible.
4. Interview Question Support
Most of us like to believe we’re above‑average interviewers. Statistically, that can’t be true.
In reality, interviews are often inconsistent, guided by gut feel, and shaped by whatever the interviewer happens to ask on the day. That’s not fair to candidates and not great for decision quality.
Vouch’s platform can listen to interviews (where configured and consented) and provide guidance: suggested questions, areas to probe, and ways to normalise the interview across candidates for a given role. The result: more structured, comparable conversations, and a better chance for each candidate to shine.
All of this sits alongside the “table stakes” features (automated follow‑ups, reminders, and personalised feedback to candidates) that make the overall experience smoother for everyone involved.
What the Market Told Us
Of course, we wanted to pressure‑test our impressions.
We spoke with recruiters, hiring managers, and technologists across the sector and asked them to compare what they were using with what Vouch offers.
The feedback was remarkably consistent: there are very few (if any) competitors delivering the same depth of recruiter‑focused, AI‑native assistance across the whole hiring flow. Time and again, Vouch was seen as the best product on the market in terms of actually helping teams make better hiring decisions, not just track applications.
It’s built around delivering value through the recruiting process, both for organisations and for candidates.
Why I Chose to Work with Vouch
Every so often you come across a company that has found a genuine seam of value. One that’s both commercially compelling and aligned with doing things the right way. Vouch is one of those companies.
They’re not trying to replace recruiters. They’re making recruiters sharper. They’re not bolting AI onto an old ATS. They’re AI‑native, with explainable, human‑in‑the‑loop intelligence embedded across the process. And they’re doing it in a way that respects candidates and complies with the evolving regulatory landscape.
I didn’t want to wait for Europe, then America, and then Australia to benefit from this kind of approach. I wanted Australian companies to have access early. To hire better, reduce regrettable churn, and give candidates an experience that feels modern and respectful.
From what I’ve seen of the platform and where it’s headed, I’m convinced Vouch is using AI for good and creating real value for companies that care about the quality of their hiring.
If you’d like to see what that looks like in practice, I’m always happy to walk you through it and share what we’re seeing in the market.
Over the past few years, I’ve been spending more and more time with leadership teams on one core question: How do we adopt AI in a way that actually strengthens the business, not just our slide decks?
That work spans two fronts. On one side, helping companies understand where true AI can create defensible advantage or protect them from disruption. On the other, helping them plug in mature, AI‑backed services across their operating value chain. What’s become clear is that “we’re using ChatGPT” plus a few brown‑bag lunches on prompt engineering is, in most cases, theatre.
One of those conversations led to a simple question: How can AI genuinely help in recruitment?
Down the rabbit hole we went…
I pulled in Ian Basser (who has one of the strongest recruiting track records I know), and together we started stress‑testing the current wave of “AI in hiring.” Very quickly, a few themes emerged.
The Problem with Generic AI in Hiring
Generative AI as a Compliance and Ethics Risk
Even before the EU flagged that using generic Generative AI to review candidates can breach personal information and disclosure requirements, it was obvious something wasn’t right.
Companies were pasting CVs into ChatGPT and asking it for recommendations. That meant pushing candidates’ likely private information into general‑purpose AI models with no real consent and no guardrails. Legally dubious; ethically worse.
Beyond the compliance risk, the approach is fundamentally flawed. These systems were never designed to safely handle high‑stakes hiring decisions with clear traceability and explainability.
Point‑Solution Bots: Faster, Not Better
We then looked at the “AI bots” that automate slices of the hiring process. E.g. Screening calls, bulk assessments, and so on.
On paper, they promised efficiency. In practice, most of them:
Sped up what was already happening, but didn’t improve decision quality
Reduced rich candidate profiles into over‑simplified scores or summaries
Nudged teams toward “automation of recruitment” rather than better recruitment
Most generative AI platforms are inherently reductive. They simplify. But great recruiting is about nuance, context and fit, not just ticking boxes.
AI Sludge and the New Candidate Reality
At the same time, we’re seeing an explosion in both the volume and baseline quality of applications.
Candidates are using AI to craft pitch‑perfect CVs and cover letters against job requirements. On the surface, that sounds great – until you’re the recruiter faced with hundreds of nearly identical applications that all “meet the requirements”.
We heard lines like:
“We shortlist the first 10 applicants that meet our requirements.”
That told us two things. First, the requirements aren’t robust or discriminating enough. Second, in a world where AI can make almost any candidate “meet the requirements,” this is effectively random selection.
It also disadvantages candidates who are currently employed or time‑poor and can’t respond instantly. Many excellent people never make it to a human review.
Most of the “AI” solutions we evaluated simply weren’t designed to handle this new reality. They made the process faster and cheaper, but not smarter or fairer.
What Great Recruitment Actually Gets Right
All of this misses the magic in great recruitment: Going beyond a handful of surface‑level requirements to truly understand who will thrive in a given organisation.
It’s not just “skills and experience.” The best recruiters consider their drive, commitment, persistence, learning velocity, alignment with the team and culture, and more. All of the traits that actually predict whether someone will still be adding value in six months and beyond.
That’s the real metric that matters. Not time‑to‑fill or cost‑per‑hire in isolation, but the value created and the turnover avoided.
In the middle of this exploration, we found Vouch.
Why Vouch Stood Out
Vouch was different from almost everything else we saw.
Rather than using AI to make hiring cheaper and faster at all costs, Vouch uses AI to make recruiters and hiring managers better. The product is built around a simple idea: successful recruitment is measured not by how quickly you fill a role, but by how well those hires stick and perform.
They apply intelligence across the entire recruiting process, not just a single step in the middle.
How Vouch Applies Intelligence Across the Hiring Flow
1. Intelligently Building the Job
Job description writing is one of the most critical, and most poorly executed, parts of recruiting.
With Vouch, you can upload almost anything – previous job ads, role notes, internal docs – and the system helps you turn that into a sharp, structured role definition and job description. It doesn’t just spit out generic text; it interrogates and refines, helping you clarify what you actually need and what success looks like.
You wouldn’t rely on a generic chatbot to diagnose a complex medical issue. You shouldn’t rely on generic, reductive AI to frame one of your most important business decisions: who you hire.
2. Finding the Right Talent Pools
Conventional wisdom says “just post on LinkedIn” and hope for the best. But is that really where your best candidates are?
Vouch helps identify which channels and candidate pools are likely to be the most effective for your role. That means you’re not just posting everywhere and praying, you’re using data and context to go where the right people actually are.
3. Reviewing Applicants with Context, Not Shortcuts
We repeatedly heard stories of teams shortlisting “the first 10” applicants who ticked the boxes, effectively ignoring potentially hundreds of others.
In a world where AI tools help candidates look perfect on paper, that approach is no longer fit‑for‑purpose.
Vouch uses intelligence drawn from reviewing thousands of applicants to help you conduct a smarter first pass. It doesn’t replace human judgment, it augments it. Surfacing the candidates you should look at and why, while keeping as many strong options in play as possible.
4. Interview Question Support
Most of us like to believe we’re above‑average interviewers. Statistically, that can’t be true.
In reality, interviews are often inconsistent, guided by gut feel, and shaped by whatever the interviewer happens to ask on the day. That’s not fair to candidates and not great for decision quality.
Vouch’s platform can listen to interviews (where configured and consented) and provide guidance: suggested questions, areas to probe, and ways to normalise the interview across candidates for a given role. The result: more structured, comparable conversations, and a better chance for each candidate to shine.
All of this sits alongside the “table stakes” features (automated follow‑ups, reminders, and personalised feedback to candidates) that make the overall experience smoother for everyone involved.
What the Market Told Us
Of course, we wanted to pressure‑test our impressions.
We spoke with recruiters, hiring managers, and technologists across the sector and asked them to compare what they were using with what Vouch offers.
The feedback was remarkably consistent: there are very few (if any) competitors delivering the same depth of recruiter‑focused, AI‑native assistance across the whole hiring flow. Time and again, Vouch was seen as the best product on the market in terms of actually helping teams make better hiring decisions, not just track applications.
It’s built around delivering value through the recruiting process, both for organisations and for candidates.
Why I Chose to Work with Vouch
Every so often you come across a company that has found a genuine seam of value. One that’s both commercially compelling and aligned with doing things the right way. Vouch is one of those companies.
They’re not trying to replace recruiters. They’re making recruiters sharper. They’re not bolting AI onto an old ATS. They’re AI‑native, with explainable, human‑in‑the‑loop intelligence embedded across the process. And they’re doing it in a way that respects candidates and complies with the evolving regulatory landscape.
I didn’t want to wait for Europe, then America, and then Australia to benefit from this kind of approach. I wanted Australian companies to have access early. To hire better, reduce regrettable churn, and give candidates an experience that feels modern and respectful.
From what I’ve seen of the platform and where it’s headed, I’m convinced Vouch is using AI for good and creating real value for companies that care about the quality of their hiring.
If you’d like to see what that looks like in practice, I’m always happy to walk you through it and share what we’re seeing in the market.