Combines data science, historical labor market trends, machine learning, and intentional behavior signals to completely invert the traditional hiring model.
Instead of asking "Who is looking for a work right now?" your talent team will know "Who will we need to hire next quarter, and what indicators prove they are ready to make a move?"
Slash Time-to-Hire: By maintaining continuously refreshed pools of qualified, vetted talent, roles are frequently filled using pre-warmed pipelines the moment an opening is authorized.
Unhinged Quality-of-Hire: Instead of selecting the "best available applicant" from a limited pool of active job seekers, you proactively target high-performing passive candidates whose career trajectories perfectly align with your success profiles.
Eliminate Costly Attrition: True predictive systems don't just look outward—they analyze internal organizational health to forecast departures, allowing you to build replacement pipelines before key personnel hand in their resignations.
Your existing enterprise platforms contain a goldmine of underutilized human capital data. SVG Solutions goes beyond standard platform support by integrating custom predictive analytics layers into your existing Talent Management systems.
We help your HR leadership automate skills-gap mapping, accurately forecast attrition trends, and construct data-backed business cases for proactive organizational scaling.
Transition from reactive staffing to strategic, predictive talent management with absolute confidence.
Historical Data Scrubbing - Strip out explicit protected classes (age, gender, race) along with highly correlated proxy variables. The AI must train on the substance of the work, not the demographics of the worker.
Semantic and Adjacency Review -
Ensure the system doesn't rank resumes lower because they use collaborative verbs (often associated with female-coded resumes) over competitive, aggressive verbs (often associated with male-coded resumes).
Effective Sourcing Strategies - Developing creative and effective sourcing strategies and plans to build pipelines for top candidates across all areas of the organization. Significant experience of full lifecycle recruiting, while building a variety of sourcing plans and tools.
Impact Testing - The goal is to see if the model's scoring distribution shifts significantly when a candidate's inferred demographic profile changes while their core skills remain identical.
Continuous Improvement - Managing and prioritizing multiple projects, and client relationships with a strong focus and commitment to continuous improvement.
