Every stage runs on the same criteria, so the shortlist you act on is ranked, reasoned, and
ready before the first panel.
Before a candidate is screened, the role already has its
competencies defined and every stage has a clear brief.
Keka scores every applicant against role requirements the moment they apply. The shortlist you see is already ranked, reasoned, and ready.
With AI-generated resumes making every application look the same, finding
genuine fit is harder than ever. Keka scores on actual role fit so the people who
stand out do so for the right reasons.
An AI agent runs a quick first conversation with every candidate the moment they apply, checking fit against the role and filling any gaps in their application. Only candidates who pass move to the shortlist.
AI scores candidates as soon as they reach the screening stage, so the shortlist is sharper and more informed before any panel time begins.
Candidates book their own slots, panels sync automatically, reschedules handle themselves, and Keka joins to take the interview notes.
Great hiring is the first step. Beyond it, Keka carries the journey forward, so offers,
pre-boarding, and onboarding run seamlessly, performance goals are set with
hiring context, and the growth path is clear for every candidate.
Interview management software helps recruiters organize and streamline every stage of the interview process, from candidate screening and interview scheduling to collecting feedback and making hiring decisions. It centralizes interview scorecards, candidate evaluations, and communication, helping hiring teams reduce delays and make more informed hiring decisions.
Keka streamlines screening with AI-powered resume scoring, automated candidate screening, structured interview scorecards, self-serve interview scheduling, and centralized feedback. Recruiters, interviewers, and hiring managers work from the same evaluation framework, making hiring faster, more collaborative, and more consistent.
Structured interview scorecards help hiring teams evaluate every candidate against the same skills and competencies instead of relying on subjective opinions. This leads to fairer hiring decisions, better collaboration between interviewers, improved candidate comparisons, and a more consistent recruitment process.
Keka automatically evaluates resumes against predefined role requirements as soon as candidates apply. Instead of relying on keyword matching alone, it ranks applicants based on role fit, helping recruiters identify qualified candidates faster and prioritize the strongest profiles for the next stage.
The best interview management software should offer AI-powered candidate screening, interview scorecards, interview scheduling, recruiter collaboration, candidate feedback collection, competency-based evaluations, interview analytics, and seamless integration with an applicant tracking system (ATS). These features help organizations hire faster while improving hiring quality.
Yes. Keka allows candidates to book interview slots based on interviewer availability, automatically coordinates multi-panel interviews, handles rescheduling, and captures interview notes with an AI notetaker. This reduces manual coordination and creates a smoother experience for both candidates and hiring teams.
AI helps recruiters review applications more efficiently by analyzing resumes, identifying role-fit, prioritizing qualified candidates, and automating initial screening conversations. This reduces manual effort, shortens time-to-hire, and allows hiring teams to focus on evaluating the most suitable candidates.
Keka combines AI-powered screening, structured interviews, automated scheduling, interview scorecards, and hiring workflows in one platform. Because hiring is connected with onboarding, performance, and employee records, organizations can move candidates seamlessly from application to employee without switching between multiple systems.
Book a demo and see Keka's AI scoring surface the right candidates for your roles.