Your clients expect quality shortlists. Not a pile of CVs.

Manual CV screening sounds straightforward until you're doing it at scale across ten open roles simultaneously. Recruiters are skilled at relationship management and closing placements — but they are not always subject matter experts in every role they fill. A recruiter placing a Java Developer, a Finance Manager, and a Customer Service Lead in the same week cannot evaluate each CV with the same depth as the hiring manager. So CVs get passed through. Some are strong. Some are borderline. Some should never have been sent. The client pushes back. The agency's credibility takes the hit.

There is a second problem that rarely gets discussed: even when a CV is strong, sending it without context forces the hiring manager to do the analysis themselves. They want insight into why a candidate is suitable — not just a pile of CVs to read through.

OPAL sits between candidate submission and client delivery. Every CV is scored against a role-specific rubric — built around the actual job requirements, not generic keywords.

Hard compliance gates filter out candidates who don't meet non-negotiable criteria. Weighted must-have criteria assess genuine fit using contextual inferencing and ontology-based synonym mapping. A candidate who briefly mentions a skill in passing doesn't score the same as someone with hands-on experience.

But the feature that changes the client relationship most is the candidate summary. For every CV that passes the scoring threshold, OPAL generates a structured summary of the candidate's strengths — mapped directly to the role criteria. Your client doesn't receive a stack of CVs. They receive a quality shortlist with a clear, consistent explanation of why each candidate made it through. That is a fundamentally different service proposition.