How Kindly’s recruitment chatbot reduced Adecco’s live chat enquiries by 75%
75
% Deflection rate
Reduction in live chat enquiries
50
%
Fewer phone calls after one month
75
%
Reduction in employees using live chat full time
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75
Reduction in live chat enquiries
50
Fewer phone calls after one month
75
Reduction in employees using live chat full time
“The best part of Kindly is all the possibilities. A single integration enables so much more functionality. Seeing the possibilities with the API and webhooks from the inside makes the platform very, very rich in functionality."
Mikael Svensson, Nordic Webmaster, Adecco
Identify the most qualified job candidates using chatbots in recruitment processes

Adecco is Norway’s leading recruitment and staffing firm. They match great candidates with various exciting projects to support many different clients in their own paths to growth. A candidate for a new job must be competent, but there must also be a personality and culture fit between the candidate and the company.

To find the right talent and make quality recommendations to their clients, Adecco uses technology to screen various candidates as part of the recruitment process. In order to streamline their recruitment processes, they selected a recruitment chatbot powered by AI to engage with candidates, learn more about their personalities, and make calculated decisions as to whether or not to pass their information onto their clients.

It’s been a challenge for Adecco to filter out unqualified candidates and only pass on the top quality applicants to their clients. This is why HR has formed non-negotiable demands for some positions that applicants must meet in order to apply. By using an integration, Kindly’s AI recruitment chatbot works as an engine that fetches qualifying questions, stores them in Adecco’s system, and sends the queries to the applicants. The candidates answer the questions, which are sent back into the system for processing. Qualified applicants advance to the next stage, while unqualified applicants are informed that they unfortunately may not apply for the position. Kindly ties it all together, ensuring that all of the information flows smoothly between Adecco and the candidate.

Improve employee time management using the recruitment chatbot to filter through applicants
Prior to their introduction to Kindly, Adecco relied solely on live chat software to conduct their recruitment. This required up to four Adecco employees spending the majority of their time fielding questions and handling responses on the live chat feature. By integrating a chatbot into their recruitment process, they were able to reduce the number of employees involved in the process down to one, and reallocate other team members to more resourceful areas of the business. It’s been a challenge for Adecco to filter out unqualified candidates and only pass on the top quality applicants to their clients. This is why HR has formed non-negotiable demands for some positions that applicants must meet in order to apply. By using an integration, Kindly’s AI recruitment chatbot works as an engine that fetches qualifying questions, stores them in Adecco’s system, and sends the queries to the applicants. The candidates answer the questions, which are sent back into the system for processing. Qualified applicants advance to the next stage, while unqualified applicants are informed that they unfortunately may not apply for the position. Kindly ties it all together, ensuring that all of the information flows smoothly between Adecco and the candidate.
Use beta groups to test the effectiveness of the chatbot and optimize accordingly
Companies that are upfront and transparent when implementing tests across their e-commerce experiences build more honest and long-term relationships with users. When Adecco implemented their recruitment chatbot, they were very transparent with users that the process was in an early stage, and that they were asking for honest feedback from users. The data collected from these experiments allowed them to make improvements to the chatbot experience that were driven primarily by user feedback.
Reduce the number of enquiries requiring human support by routing through the chatbot
One of Adecco’s primary goals with the recruitment chatbot was to offset the repetitive work required by their internal staff in order to find more productive and efficient ways of leveraging their talents. Thanks to the power of the AI recruiting chatbot, they were able to reduce the number of live support tickets requiring human support. This allowed the company to execute more strategic business decisions based upon more efficient time and resource management.
75% reduction in live chat enquiries that require employee interaction

Due to the power of the recruitment chatbot, Adecco saw a 75% reduction in the number of live chat enquiries directed to their HR and customer support departments. Additionally, they were able to reduce the number of phone enquiries from clients and candidates alike by 50% after only one month of the chatbot being live and operational.

Adecco was able to minimize the number of enquiries directed to their human representatives, and reallocate more time and resources towards areas of the business that have helped the company scale and grow. At the same time, they increased the quality of candidates to their various clients by relying on the chatbot’s conversational summaries to determine which candidates are worth the referral. A true win-win all around!

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