Jaicob is a type of cloud-based recruitment automation software that helps organizations design, execute, and scale hiring workflows using agent-based artificial intelligence. The platform is built for recruitment teams operating in complex or high-volume hiring environments, including staffing agencies and in-house talent acquisition departments. Jaicob functions as a centralized system that consolidates recruitment activities that are often spread across multiple disconnected tools. Jaicob allows users to create, configure, and manage autonomous AI agents through a no-code workflow builder. These agents perform predefined recruitment tasks independently, based on user-defined rules, triggers, and conditions. Rather than relying on manual execution for each step, workflows are designed once and then executed repeatedly by AI agents. This approach supports consistent process execution across the recruitment lifecycle. The platform combines functionality commonly found in applicant tracking systems, recruitment CRMs, and workflow automation tools into a single environment. Users can manage candidates, vacancies, communications, and recruitment logic from one system, while maintaining oversight and control over how automated actions are carried out. Core capabilities include: • Candidate and prospect sourcing across defined criteria and channels • Screening and qualification of profiles based on structured rules • Matching candidates to open vacancies using predefined logic • Automated outreach and follow-up messaging • Ongoing maintenance and enrichment of recruitment databases Jaicob is designed to reduce manual workload and improve process consistency. By running AI agents continuously in the background, the platform enables recruitment teams to focus more on review, decision-making, and collaboration with stakeholders, rather than repetitive operational tasks. This supports scaling hiring activity without requiring a proportional increase in team size or effort. The software is positioned as an agentic AI recruitment platform, emphasizing autonomous execution rather than task-by-task user interaction. Recruitment processes are treated as reusable systems rather than isolated actions, allowing organizations to standardize how hiring activities are performed while retaining transparency. Key characteristics of the platform include: • A no-code environment for building and managing AI-driven recruitment workflows • Coverage of the full recruitment process within one system • Autonomous agents that operate based on defined logic and conditions • Centralized visibility into candidates, vacancies, workflows, and communications This model supports organizations in creating repeatable, auditable, and scalable recruitment processes while maintaining control over automation behavior and outcomes.