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Finding Genius Podcast

HR FAIL – Sahil Sanhi, Co-founder, AllyO – A Broken Human Resources System: How AllyO's Smart AI is Increasing the Quality of New Hires and Easing the Workflow for Human Resources Departments

Finding Genius Podcast

Richard Jacobs

Medicine, Health & Fitness

4.41K Ratings

🗓️ 17 July 2018

⏱️ 37 minutes

🧾️ Download transcript

Summary

Sahil Sanhi, co-founder of AllyO, a Silicon Valley based AI technology company, delivers an interesting overview of the many problems that exist in the human resources arena, and how his company's tech is beating them, one by one.


Sanhi and his company partner saw a major problem in business recruiting and launched AllyO in 2016 as a means to solve it for companies worldwide. The problem—recruiting is inefficient, applicants are lost in the process, conversions are poor, and the cost is high due to menial tasks placed upon the hiring teams. Essentially, there is a complete lack of visibility and the process offers little control for human resources leaders. 


Sanhi and partner realized they could build a better engine, and did. AllyO reinvented the system by bringing the recruiting process directly to the qualified applicants instead of the traditional route of bringing the applicants to the recruiting process. And AllyO's system loops into human beings only when needed, thus allowing the mundane work to be circumvented, keeping human employees on more important job tasks. Sanhi explains how his company uses deep workflow conversational AI to streamline and automate end-to-end recruiting. AllyO successfully enables a managed workflow, by using smart technology to engage via texting over web and mobile avenues. 


Sanhi states that their system not only greatly relieves the stress and drain on human resources departments, but also significantly improves the quality of incoming new hires. As Sanhi explains, the highest quality candidates are discouraged from applying due to the extensive, laborious process of first finding an appropriate position, and then being forced to fill out an online application for 45 minutes to an hour per opening. For a company that is seeking the best employees, this is highly problematic as sometimes it is only the most desperate candidates who will go through this difficult process, a process that only offers a 15% chance or less that your submission will be seen or acted on.


AllyO utilizes conversational career matching across multiple talent acquisition channels, qualifies the candidates for the role that perfectly fits their skill and experience, then fully automates the scheduling of interviews and even post interview communications. Responsiveness, better communication, and a more human type interaction back and forth, all built into the AI drives engagement to higher levels. As the AI probes deeper into a candidate's qualifications it makes granular decisions along the way, which allows for candidate ease and better options for the hiring manager. 


The tech expert explains how AllyO uses each engaging interaction with a potential candidate as an opportunity to learn, thus enabling the system to answer candidates' questions in an increasingly sophisticated manner. Additionally, their AI ensures that proper conduct is always a priority by discarding biases. And as AllyO is a multilingual, highly configurable technology it can integrate easily into any HR system. Ironically, it is AI that is putting the human touch back into hiring.

Transcript

Click on a timestamp to play from that location

0:00.0

You know, we get asked all the time, who are your listeners, who subscribes to your podcast,

0:05.6

you know, how many do you have?

0:07.2

So I think you may be curious, we, at our peak month, which was June of 2018, last month as I'm recording this we got

0:16.2

242,000 listens so the podcast has been growing doing really well we're close to

0:22.0

approximately 600 podcasts that have been done.

0:25.7

Not all by me, thank God, but many of them have been.

0:28.1

I wanted to know something.

0:29.8

Who are you, listeners?

0:30.8

We, from the data that we've seen is a lot of early

0:34.1

adopters

0:35.4

uh... people that are you know anywhere like thirty to fifty five

0:39.9

that are interested in tech and all the new stuff that's coming out but that may not be

0:43.8

accurate so i wanted to ask you if you wouldn't mind

0:46.8

can you send an email

0:48.5

to support at future tech podcast and let us know a little bit about yourself.

0:54.0

You don't have to tell us your name or any of that stuff,

0:56.0

but if you just let us know,

0:58.0

why do you listen to the podcast?

1:00.0

What do you get out of it?

1:01.0

What some of your favorite episodes have been, and what you want to see more of

1:05.1

and hear more over the podcast, and I'd love to accommodate you.

1:08.4

And I'd love your feedback.

...

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