

ELGO AI analysed resumes against role requirements, filtering the most relevant candidates. This removed the burden of manual triage.

The system highlighted candidate strengths aligned to job descriptions. This improved transparency in the shortlisting process.

AI recommended interview questions based on candidate profiles, ensuring structured and fair evaluation.
ELGO AI analysed resumes against role requirements, filtering the most relevant candidates. This removed the burden of manual triage.

The system highlighted candidate strengths aligned to job descriptions. This improved transparency in the shortlisting process.

AI recommended interview questions based on candidate profiles, ensuring structured and fair evaluation.





Screening could be tailored to specific roles and departments, every single screening criteria can be set by the recruiter. This ensured flexibility across different hiring needs.

Recommendations were backed by clear alignment with candidate experience and skills. This built trust in the process.

Recruiters could refine AI outputs and add contextual adjustments. This ensured final decisions remained human-led.
Screening could be tailored to specific roles and departments, every single screening criteria can be set by the recruiter. This ensured flexibility across different hiring needs.

Recommendations were backed by clear alignment with candidate experience and skills. This built trust in the process.

Recruiters could refine AI outputs and add contextual adjustments. This ensured final decisions remained human-led.

Customer support agents can step in or return conversations to AI seamlessly, ensuring customer interactions are never disrupted. AI also intelligently pass the conversation to customer support agents.