How do we speed up submissions by sourcing candidates from existing database and talent pool?
Reenal Rawal
Senior TA Specialist, HR MBA
With 5+ years of experience refining recruitment and hiring, I ensure every answer is clear, accurate, and actionable, helping HR leaders and hiring teams trust and apply what they read.
You can speed up submissions by sourcing qualified candidates from your existing database as soon as a new job order arrives, instead of sourcing externally first and checking your own records later, if at all. Candidates already in your system skip the sourcing and initial screening steps entirely. They already have a resume, application history, and often placement history on file.
The submission delay in most agencies comes from the order in which sourcing occurs. A recruiter typically starts with fresh sourcing, posts to job boards, and only checks internal records once external options run low. By reversing that order and checking the database first, you can cut the time between a job order arriving and creating a client-ready shortlist.
A rediscovery scan performed against a new job order returns candidates who have already been scored against that role's requirements. This includes reasons tied to their resume and placement history. It replaces manual searching by name or memory with an automatic check across the entire bench.
A platform like Skima AI automates this process by scanning the full segmented bench against every new job order. It returns a ranked shortlist before a recruiter begins any new outward sourcing.
Before contacting anyone on a rediscovered shortlist, confirm they are not already on assignment or restricted by a placement fee arrangement with another client. Availability affects submission speed just as much as fit does.