๐ฅ๐ฒ๐ฑ๐๐ผ๐ผ๐ฑ ๐ง๐ถ๐บ๐ฒ๐น๐ถ๐ป๐ฒ:
Oracle introduced a mandate in 25C to move Recruiting capabilities such as requisitions, applications, and extensions to Redwood. From 26A onward, new recruiting functionality is delivered only in Redwood. Oracle has confirmed that Redwood for Recruiting will be functionally complete by 26B.
๐๐ป๐๐ฒ๐ฟ๐๐ถ๐ฒ๐ ๐๐ฐ๐๐ถ๐๐ถ๐๐ ๐๐ฒ๐ป๐๐ฒ๐ฟ (๐ฎ๐ฒ๐)
– A central workspace to manage and track interview activities more effectively.
– Standardised templates to support consistent interview structures across roles and requisitions.
– Mass Interview Scheduling (New Capability): Designed for high-volume and structured hiring scenarios: assessment centres, hiring events, campus or walk-in recruitment
๐๐ป๐๐ฒ๐ฟ๐๐ถ๐ฒ๐ ๐๐ผ๐ผ๐ฟ๐ฑ๐ถ๐ป๐ฎ๐๐ผ๐ฟ ๐ช๐ผ๐ฟ๐ธ ๐๐ฟ๐ฒ๐ฎ (๐ฎ๐ฒ๐)
– A dedicated workspace for interview coordinators or recruiter assistants who schedule interviews on behalf of recruiters.
– While self-service scheduling remains the recommended approach, this supports organisations where centralised coordination is required.
๐๐ด๐ฒ๐ป๐ฐ๐ ๐๐ถ๐ฟ๐ถ๐ป๐ด ๐๐ป๐ต๐ฎ๐ป๐ฐ๐ฒ๐บ๐ฒ๐ป๐๐ (๐ฎ๐ฒ๐ & ๐ฎ๐ฒ๐)
– Redwood-based application grids
– Clear visibility into: number of applications per requisition, referral activity,
agency progress across requisitions
๐๐ ๐๐ด๐ฒ๐ป๐ ๐ฅ๐ผ๐ฎ๐ฑ๐บ๐ฎ๐ฝ ๐ถ๐ป ๐ฅ๐ฒ๐ฐ๐ฟ๐๐ถ๐๐ถ๐ป๐ด (๐ฎ๐ฌ๐ฎ๐ฒ)
– ๐๐ฎ๐ฟ๐ฒ๐ฒ๐ฟ ๐๐ผ๐ฎ๐ฐ๐ต ๐๐ด๐ฒ๐ป๐: Guides candidates to suitable roles using resume information or conversational questions.
– ๐๐ป๐๐ฒ๐ฟ๐๐ถ๐ฒ๐ ๐๐ด๐ฒ๐ป๐: Automates interview scheduling. Participates in interviews to record sessions, generate summaries, capture structured feedback, and perform initial pre-screening via text or voice.
– ๐ฆ๐ผ๐๐ฟ๐ฐ๐ถ๐ป๐ด ๐๐ด๐ฒ๐ป๐:ย Monitors application volumes and campaign performance. Identifies underperforming requisitions and recommends actions to improve sourcing outcomes.
– ๐๐ถ๐ฟ๐ถ๐ป๐ด ๐๐๐๐ถ๐๐๐ฎ๐ป๐:ย Supports recruiters by coordinating hiring activities and decisions. Reduces administrative effort across the hiring lifecycle.
– ๐ข๐ณ๐ณ๐ฒ๐ฟ ๐๐๐๐ถ๐๐๐ฎ๐ป๐: Creates compliant offers using requisition, position, and document data. Improves speed, accuracy, and consistency of offer creation.
– ๐ ๐ฒ๐๐๐ฎ๐ด๐ถ๐ป๐ด ๐๐๐๐ถ๐๐๐ฎ๐ป๐: Supports intelligent and timely candidate communications. Reduces manual follow-ups while improving engagement.
– ๐ข๐ป๐ฏ๐ผ๐ฎ๐ฟ๐ฑ๐ถ๐ป๐ด ๐๐ด๐ฒ๐ป๐:ย Guides candidates through onboarding steps. Reduces drop-offs and improves readiness for day one.
ORC AI agents introduced through 2026 are designed not only to automate tasks, but to actively support decision-making – coordinating interviews, capturing insights, pre-screening candidates, and identifying where action is needed in the recruiting pipeline.
This represents a move away from recruiters managing systems, toward systems that assist recruiters.











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