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Introduction to Skima AI

Hiring at scale is broken. Enterprises post jobs, collect thousands of applications, and then watch them pile up inside an ATS that was built to store data, not make sense of it. The result is long hiring cycles, high agency spend, repeated manual screening, and strong candidates getting lost inside the system.

Skima AI is the intelligence layer that fixes this. It sits on top of your existing ATS such as Workday, BambooHR, Lever, Greenhouse and other enterprise systems, and turns stored hiring data into actionable decisions. Think of it as the computer engine boosting your ATS to its peak potential.

Why Skima AI

Your ATS is a database. Skima AI is what makes it think.

Most recruitment platforms expect recruiters to do the heavy lifting - filtering resumes, comparing profiles, following up manually, and trying to identify the right candidates from thousands of applications. This creates delays, inconsistent shortlisting, and hiring decisions based more on effort than intelligence.

Skima AI automates the decision layer. It screens resumes at scale, scores candidates with explainable AI matching scores, re-discovers cndidates from your databases, and keeps candidate engagement moving without manual effort.

What Skima AI Does

Skima AI helps across the most important parts of the hiring workflow where recruiters usually spend the most time and where hiring quality is often lost.

AI-Powered Candidate Search:

Search your entire talent pool using plain language instead of rigid keyword filters. Skima AI ranks candidates by fit, not just keyword overlap, based on skills, experience, role requirements, and historical hiring patterns.

Reverse Search:

Reverse Search flips the process by matching one candidate against multiple open roles instantly instead of matching one job against thousands of profiles. This helps recruiters identify hidden opportunities faster, improve candidate rediscovery, and make better use of existing talent databases without starting every search from scratch.

AI Calibration and Knockout Filters:

Recruiters can define strict must-have requirements and knockout conditions so poor-fit candidates are automatically disqualified early in the process. This improves shortlist quality and reduces time spent manually rejecting low-fit profiles. Instead of treating every requirement as a preference, teams can clearly define what should block progression.

AI Interviews and Candidate Evaluation:

Run structured first-round interviews using AI-generated interview flows built around the role.

Skima AI handles scheduling, interview links, question generation, transcript capture, video recording, scorecards, and evaluation summaries in one workflow. Recruiters can review completed interviews using evidence instead of relying only on instinct or scattered notes.

Automated Candidate Engagement:

Set up outreach campaigns that run without constant manual input. Skima AI drafts personalized communication, sends follow-ups at the right time, and tracks candidate engagement so recruiters know what is working and where drop-offs happen.

Job Posting and Promotion:

Publish jobs to your career page, LinkedIn, and external job boards from one place. Add screening questions, approval flows, and promotion controls to improve application quality before candidates even enter the pipeline.

Analytics and Hiring Intelligence:

Track pipeline health, recruiter performance, interview completion, and hiring bottlenecks in real time. Dashboards give recruiters, hiring managers, and leadership a clear view of what is happening across the funnel without relying on manual reporting.

Best Uses of Skima AI

RoleHow Skima AI Helps
RecruitersAutomate sourcing, screening, and outreach so they can focus on the candidates that matter
Talent Acquisition TeamsManage hiring pipelines across multiple roles and improve shortlist quality with stronger screening
Staffing AgenciesHandle high-volume recruitment using AI search, rediscovery, and bulk engagement workflows
HR LeadershipTrack hiring velocity, recruiter performance, and quality of hire from a single system
Enterprise Hiring TeamsActivate old candidate databases and improve decision-making across large-scale hiring operations

Getting Started

Setting up Skima AI is easier than ever. Upload your existing candidate data and jobs from your ATS or request an integration to your ATS and configure your account so platform syncs the data begins working on top of your existing hiring workflow.

You do not need to replace your current system. Recruiters continue working inside the process they already know, while Skima AI adds intelligence where it matters most - screening, matching, rediscovery, and decision-making.

Tip Start with the Onboarding guide to set up your account, connect your hiring workflow, and import your first jobs and candidates.