How Enterprise Match Maps Evidence to Roles — accessible transcript Source SHA-256: a04b712266759d3f1b7f6efae8a3487fcab1712ad06287e62952e85143703ac5 Speaker: Narrator [00:00:00.000] Traditional hiring software reduces your entire professional history into a glowing keyword score. Enterprise Match flips this completely. It connects employers and candidates without a search box or a ranking algorithm. [00:00:14.000] Let's say a verified company needs to fill a genuine W2 project manager position. Instead of pulling up an anonymous pool of resumes, the employer starts by defining the exact lawful criteria for this specific role. [00:00:28.000] But they can't just browse candidates. First, a candidate must review the specific [00:00:33.280] employer and role, and explicitly consent to release their protected identity and contact [00:00:38.440] information for that one job. Once approved, the system generates an evidence report. [00:00:44.400] It maps the candidate's documented work directly against the employer's criteria. [00:00:49.280] It clearly distinguishes supported evidence, source status, and missing gaps, without [00:00:54.240] ever generating a star rating, personality score, [00:00:57.160] or predicted fit. [00:00:58.660] Then a human employer reviews this neutral, unranked report [00:01:02.720] to make the final call on interviews and selection. [00:01:05.680] The system itself never makes [00:01:07.400] an automated hiring recommendation. [00:01:09.640] So what happens to that project manager position [00:01:12.120] from the beginning? [00:01:13.220] It gets filled based on a transparent foundation [00:01:15.800] of verified proof of work, [00:01:17.600] not just who hacked the keyword scanner the best. Visual description note Every meaningful visual is conveyed by the narration; remaining title-card motion, illustrations, and fades are decorative.