Business leaders have realized the significance of a diverse workforce for enhanced innovation and productivity in their organisation. Thus, they are promoting a culture of equitable hiring that can help the company recruit the most eligible applicants with diverse talent. They are encouraging their HR professionals and recruiters to focus on selecting candidates based on merit, regardless of their ethnicity or gender. 

Amidst the growing complexities of the recruitment process, especially during unprecedented times of Covid-19, companies are looking to leverage AI-driven technologies to automate hiring with accuracy while eliminating any biases. Recruitment Smart is an HR tech company bringing disruptive technologies to the recruitment industry and is helping companies improve diversity and promote inclusion in their workplace. So, let’s look at how Recruitment Smart’s flagship products (Sniper AI and Jeeves AI), coupled with the AI-enabled chatbot as a digital assistant, are helping its clients promote equitable hiring. 

Robust machine learning algorithms allowing Equitable Hiring

Sniper AI is built using advanced machine learning algorithms that identify any biases and address them through an AI-based recommendation engine, engendering ethical hiring while protecting the candidate’s identity. This allows companies to use Sniper AI for executing equitable hiring while removing unconscious biases from recruitment practice.

Jeeves AI is another AI-driven platform using advanced machine learning algorithms that empower organisations to identify a potential candidate from a myriad of sources. Jeeves AI automates screening a candidate against a defined set of parameters and given job profiles at a blazing speed, enabling recruiters to find the best fit. Moreover, Jeeves AI has the ability to mine historical candidate databases to speed up screening, thus boosting candidate rediscovery.

Selection on merit without any biases

Following a blind hiring approach, Sniper AI masks the name and identity of the candidate and assesses its attributes, such as work experience, skills, and qualifications. The attributes are then compared with qualitative factors such as length of service, employer noteworthiness, geographical location, and more. These factors are calibrated using proprietary machine learning (ML) technology, allowing the entire system to learn how to appropriately weigh and score each unique factor. The best candidate with the highest score is displayed at the top. The software selects the best applicants and helps the recruiter interact with them through the entire recruitment lifecycle without showing any personal information in terms of region, race, and gender, thus facilitating equitable hiring. 

Integrated Digital Assistant Solution for Streamlining Equitable Hiring with Automation

On the other hand, Jeeves AI provides no manual intervention while uploading a CV. The complete process is streamlined to just one step of uploading the resume, leading to higher throughput and improved completion rates. 

A critical component of Jeeves AI is its conversational chatbot, which serves as a digital assistant. The chatbot has a high EQ and helps companies to pre-screen external candidates or select the best-suited employee for Internal Mobilization. The chatbot engages with candidates and guides them to upload the CV in the desired format. Candidates can chat with the AI-chatbot from any channel, such as Facebook or any other job portal. The conversation, with questions and replies, can be customised as per the business rule. After the candidate uploads his/her resume in the desired format, the chatbot facilitates real-time referrals and employer and job recommendations, enhancing candidate engagement.

The AI-driven tool easily integrates with SMS and social apps like Facebook and takes care of scheduling interviews and other monotonous tasks. Jeeves AI sends calendar invitations intimating a candidate via email about the scheduled interview or other important updates, improving accountability and transparency. It also sends them instant feedback via SMS, keeping them abreast of their application status, thus enhancing a candidate experience and boosting the organisation’s brand value.

As chatbot and Sniper AI conduct initial screening and following rounds of assessment via completely automated steps, it has saved countless working hours of the client, leading to a significant reduction in time-to-hire and the cost-to-hire. Streamlining the recruitment process has helped the clients improve their conversion ratio by up to threefold (3x).

But it all starts with gaining critical insights

AI-driven solutions offered by Recruitment Smart work effectively because of the precise inputs fed into the platforms. As a first and foremost step, a team of experts at Recruitment Smart meets with the client to understand their requirements and goals. Accordingly, they re-engineer a standardized criterion for candidate evaluation across different job profiles and geographies. While doing so, they ensure provisioning for the varying business roles to hire qualified applicants exhibiting the required expertise, fulfilling the client’s demands of niche recruitment. After understanding the requirements of the given job profiles, professionals at Recruitment Smart feed Sniper AI and digital assistant chatbot with relevant inputs. 

About Recruitment Smart

Recruitment Smart Technologies is an HR Deeptech company offering AI-driven solutions and applying data science to identify different means for promoting diversity in businesses and suggesting the most efficient ways to achieve it. Our advanced machine learning algorithms recognize the nature of bias, if any, and then address them through an AI-based recommendation engine, engendering ethical hiring while protecting the candidate’s identity. As a result of our persistent efforts, we have been able to deliver three-fold ROI on an average to over 20 of our major clients in the first year of our service offerings. Our robust tools have empowered organisations to automate talent acquisition and reduce the initial screening funnel by 60%, the time spent on CV scanning by 53%, and sourcing cost by 37%.