- Mega HR claims that Megan is the most sophisticated AI-recruits to date
- It can apparently cope with up to 78 % of Frontline employment tasks to reduce costs
- It doesn’t take lunches, go on vacation, hold toilet breaks, go to bed or gossip
Recruiters play an important role in the hiring process, where they match qualified candidates with job opportunities in organizations, organize conversations and so on – so it probably doesn’t come as a big surprise to find that this is a task that AI is perfect for. suitable.
Mega HR has revealed Megan, an advanced AI agent designed to transform recruitment and employment processes.
Megan (which is hopefully more stable than her movie-aa-names brother) can apparently automate up to 78 % of frontline recruitment tasks and solve common problems such as the applicant’s “ghosting”, where candidates fail to attend conversations, do not respond to job offer, or not arrive on their first working day after accepting the position.
Self -training ability
Mega HR says their platform is designed from scratch with an agent mindset that allows more AI agents to collaborate seamlessly and solve complex recruitment challenges step by step.
“Megan is not just another AI agent; She is a paradigm shift in SaaS, ”said Darren Bounds, founder and CEO of Mega Mr. “Customers already spend much less time on our product and more time in Slack, where they talk to Megan to get updates and complete employment decisions.”
One of Megan’s key features is continuous self -learning. By self -training on all architectural, behavioral and information changes and incorporating them into its abilities, Megan can “move between thoughts, problems and concepts – as a human – yet with immediate access to all relevant data,” mega HR claims.
Megan can reduce the workload by managing a majority of employment tasks, from the creation of job postings to the completion of offers. For applicants, she can provide timely updates and clear communication.
The platform uses neural-symbolic reasoning, combining the contextual strengths of neural networks with the logical possibilities of symbolic AI, to interpret CVs, job descriptions and other employment data with a great deal of nuance. In addition, AI’s composable design allows different workflows to connect and develop dynamically, allowing to adjust processes without sacrificing reliability.
Active learning mechanisms allow Megan to seek out and process new data that matches the user’s goals, and Mega HR says that all decisions that Megan makes are easy to track, understand and presumably challenge.
You can find out more about Megan at Mega HR and request a demo. The video below shows AI in action.
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