- Mega RH says Megan is the most sophisticated AI recruiter to date
- It can apparently manage up to 78% of first -line job tasks to reduce costs
- He does not take lunches, go on vacation, take toilet breaks, fall asleep or lead
Recruiters play an important role in the hiring process, corresponding to qualified candidates with employment opportunities in organizations, by organizing interviews, etc. – So it will probably not be too surprising to learn that it is a task to which AI is perfectly suited.
Mega HR unveiled Megan, an advanced AI agent designed to transform recruitment and hiring processes.
Megan (who, hope, is more stable than his film Ai Homonyme) can apparently automate up to 78% of first-line recruitment tasks and solve common problems such as the “ghost” candidate, where candidates do not appear Not to interviews, do not respond to job offers, or do not arrive on the first day of work after accepting the position.
Self-training capacity
Mega HR says that its platform was designed from zero with an agent state of mind, allowing several AI agents to collaborate transparently, resolving complex recruitment challenges step by step.
“Megan is not only another AI agent; It is a paradigm shift in SaaS, “said Darren Bounds, founder and CEO of Mega HR. “Customers are already spending much less time on our product and more time in slack, conversing with Megan to get updates and finalize job decisions.”
One of the main characteristics of Megan is continuous self-learning. By dealing with all architectural, behavioral and information changes, and integrating them into its capacities, Megan can “move between thoughts, problems and concepts in a fluid way – like a human – but with instant access to all Relevant data ”, Mega HR HR complaints.
Megan can reduce workloads by managing the majority of hiring tasks, from the creation of jobs to the finalization of offers. For candidates, it can provide timely updates and clear communication.
The platform uses symbolic neuronal reasoning, combining the contextual forces of neural networks with the logical capacities of symbolic AI, to interpret the curriculum vitae, work descriptions and other hiring data with a large number of nuance . In addition, the component design of AI allows various workflows to connect and evolve dynamically, which allows you to adjust the processes without sacrificing reliability.
Active learning mechanisms allow Megan to seek and process new data that align with the user’s objectives, and the Mega HR says that all the decisions that Megan takes is easy to trace, to understand and, Presumably, to question.
You can find out more about Megan at Mega HR and ask for a demo. The video below shows AI in action.
To watch
