AI Candidate Sourcing Case Study

AI Streamlined Candidate Sourcing for a Staffing Firm

How BridgeView helped a technology staffing firm turn manual skill matching into targeted search and candidate prioritization inside its existing software.

AI and Machine Learning Candidate Sourcing Recruiter Workflow

The Solution at a Glance

The client is rolling out the solution. These cards describe the documented work and capabilities, rather than claiming a measured hiring result.

Discovery2 days

AI and machine learning workshop used to identify the sourcing bottleneck.

ExtractionJob skills

Automatically extracted from job descriptions by an AI layer.

SearchTargeted

Recruiters can search the candidate pool using extracted skills.

WorkflowIntegrated

Recruiters continue working within the existing program.

Manual Matching Made Candidate Search Harder to Scale

Recruiters were comparing job descriptions with a large pool of resumes by hand. Once they found possible candidates, the current software made it difficult to filter, search, and decide whom to review first.

Manual Skill Matching

Recruiters identified key skills in job descriptions manually
They compared those requirements against a large resume pool

Limited Search

Existing parsing and filtering were not effective enough
Targeted searches were difficult to run in the current software

Unclear Priorities

Potential matches were hard to sort by suitability
Recruiters needed a clearer way to focus their review time

An AI Layer Built Around the Recruiter's Existing Workflow

BridgeView first worked with the client's leadership to understand the sourcing process. The team then added AI capabilities on top of the software recruiters already used.

Explore

Used the AI and machine learning workshop to identify practical sourcing opportunities.

Understand

Reviewed business processes with client leadership and isolated the points slowing recruiters down.

Extract

Built an intelligent layer to pull relevant skills from job descriptions automatically.

Enabled targeted candidate searches based on those extracted skills.

Prioritize

Gave recruiters a way to rank potential matches and focus on stronger candidates first.

Integrate

Connected the new capability to the existing software so recruiters could keep their familiar workflow.

From Process Discovery to a Live Rollout

The engagement moved from understanding the recruiting task to adding capabilities in the client's current system. The solution is now being rolled out.

WorkshopBridgeView and the client examined practical AI applications during a two-day workshop.

Map the WorkThe team reviewed manual matching, search limitations, and candidate prioritization.

Build the LayerAI extracts skills from job descriptions and makes them available for targeted search.

Connect SearchRecruiters can search and rank candidates without leaving the existing program.

Roll OutThe client is rolling out the solution, with early results indicating a more efficient sourcing process.

Early Signs of a More Focused Sourcing Process

The source reports promising initial results while rollout continues. It does not provide measured time savings, placement outcomes, or hiring quality data.

Early Operational Outcomes

Recruiters can identify promising candidates faster
Dynamic skill matching helps focus the initial review
Targeted search makes the candidate pool easier to navigate
A simpler interface supports a more efficient selection process

Capabilities Put in Place

Automatic skill extraction from job descriptions
Search and ranking based on extracted skills
Integration with the client's existing recruiting software
Recruiters remain responsible for interviewing and vetting candidates

Why the Model Worked

The Technology Followed the Sourcing Problem

BridgeView started with the recruiters' manual matching work and the limits of their search tools, then built the AI layer around that process. The software helps surface and prioritize potential candidates while the client team continues to make the recruiting decisions.

Make AI Useful to Your Team

Where Is Manual Work Slowing Your Team Down?

Tell BridgeView about the process. We can help identify a practical use for AI and shape the right technical solution around the work.

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