Robotics in Recruitment

T-Impact work with opportunist and ambitious recruitment firms and HR teams looking to utilise robotics to optimize their recruitment and reduce bias in the process, ensuring the best possible candidate is placed in every role. AI subscription model enables you to see the benefits of RPA firsthand before embarking on additional digital ventures, in addition to offering a fast payback time. Speak with one of our experts today to learn how other recruitment teams are already using these technologies to drive efficiency and establish stronger client relationships.

What are the disruptions to Recruitment?

Changes to Referrals

New software has become available for recruiters to study prospect pools to find potential employees. They can use specific criteria to omit or add names to shortlists and streamline candidates.

Data Aggregation

Companies have been able to develop a clearer picture of candidates due to the availability of data on cloud-based systems and social media.

Reduced Agency Involvement

Fewer firms are turning to agencies, as they seek to break away from exclusivity agreements and limited candidate pools. This widens the potential pool but can lead to time wasted evaluating inappropriate candidates.

Applicant accessibility

Applying for roles and corresponding to applications can now be done across the globe at any time due to the internet. Sheer numbers of applications can result in backlogs.

Changing Requirements of Candidates

Candidates no longer expect compelling salary packages. Applicants instead focus on criteria such as availability of training, social or ethical implications, or other benefits like home-working.

What can Robotics do for recruitment? 

Recruiters are quickly adopting modern technologies to attract the best candidates in the digital age. Robotic Process Automation is helpful for initial screening processes, helping stratify candidates using specific criteria. Staff can actively engage high-value candidates to establish direct contact from the off-set.

However, as recruitment is often data-based and repetitive, RPA can also effectively be used for:

Candidate Communication

• Robots send out automated responses to candidates to confirm application receipts or request more information

• Respond 24/7 to specific questions from candidates

• Arrange call-backs from staff for specific queries

Data Storage and Collaboration

• Manage all candidate data on one system

• Transfer data quickly, without using multiple data entry portals

Candidate Sourcing

• Help select candidates from existing pools

• Identify potential options for outreach

• Eliminate candidates that do not meet requirements

The Robotics involved in Recruitment 

AI and Robotics has previously been limited to Hollywood Sci-Fi or assembly lines in manufacturing plants. The term Robotic Process Automation (RPA) refers to specific software that is programmed to perform a variety of manual functions. This includes opening emails, saving attachments and data management.

RPA mimics human activity to perform the same functions as a human, including accessing and creating data within existing I.T. systems. To make complex decisions, RPA works in tandem with AI such as IBM Watson, Microsoft AI and Google DeepMind, receiving guidance on the next steps based on the input.

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The Benefits of RPA in Recruitment

Robotic Process Automation has many benefits, and these are unique depending on the business needs, and process being automated. Some key benefits for recruiters include:

Improved Efficiency

Your virtual workforce can assess applications much faster than any human staff. High value targets are quickly identified.

Instant Scalability

Your virtual workforce can be controlled anytime, anywhere using most digital devices. Tasks can be defined when necessary to manage efficient workflows.

Reduced Costs

Robotics have no associated HR costs and can work 24/7. This unparalleled performance can quickly lead to new revenue streams.


Free Key Staff

Thanks to your robotics identifying the high-value targets quickly, human staff can focus on achieving direct contact with them as soon as possible, rather than searching through inadequate applications.

Assured Compliance

Thanks to syncing with your central candidate pool, your robotics can manage candidate information and delete or update information when appropriate to comply with GDPR.


I am running in a Citrix/Virtual environment, can a robot work with this?

Yes. Our Robotics Subscriptions use UiPath technology, the best software for Citrix and Virtualised client environments. T-Impact have implemented numerous Robotic solutions in both Virtualised and Citrix environments.

we have already written APIs and Macros to integrate our IT systems, why would I need any form of robotics?

Robots leverage the IT systems that you have in place. They are not designed to be a replacement for API’s or IT systems but rather take tedious work off your staff.

If you are planning to build an API between IT systems, there are some scenarios where it might be better & cheaper to use a Robot to transfer data. APIs can be costly and time-consuming to develop and maintain. As soon as an API is written, software vendors release an update and the API often needs to be rewritten. Robots can often be deployed in weeks and cost much less than traditional development. They also have an element of AI which can adapt to some changes in IT systems, without required development.  

Broadly speaking, what is Robotics?

Quite often these two terms are mixed up and sometimes intertwined. Artificial Intelligence is a broad definition that encompasses many specialist fields. One of these is Robotics. Robotics Process Automation (RPA) refers specifically to software Robots that perform work normally performed by humansTo add to the confusion, Robots incorporate some elements of machine learning within them, allowing them to learn and adapt. They also have pre-built integration into most advanced AI platforms, which allow them to make complex decisions and to learn from the data they process (machine learning) The most common platforms include Microsoft AI, IBM Watson & Google Deepmind.

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