Your team owns the build.
Learn through courses, practical training and workshops. Get feedback as you apply the lessons to your own project.
Explore courses and workshops ↗Prepare candidate and role information for human review while keeping decisions grounded in job-relevant evidence.
Recruiters spend time reconciling role requirements, resumes and interview notes. AI should organize the evidence without inventing experience or making hiring decisions.
Give recruiters a clearer review packet and a more precise set of follow-up questions.
A recruiter selects a candidate for review against an approved role brief.
Map stated experience to role requirements and identify gaps that require a question rather than an assumption.
A recruiter verifies every claim and decides the next step. Selection and rejection remain human decisions under the agency's process.
Confirm consent, retention and client-sharing arrangements. Avoid ranking on protected or irrelevant attributes and do not infer missing qualifications.
Measure invented claims, missed evidence, review effort and candidate corrections without treating automated ranking as success.
Before expanding the workflow, compare the result with the current process. Include review effort and exceptions in that comparison so the improvement reflects the team's actual experience.
Read the implementation guide ↗The workflow stays centered on your business. The engagement determines who learns, implements and operates it.
Learn through courses, practical training and workshops. Get feedback as you apply the lessons to your own project.
Explore courses and workshops ↗Get everything in DIY, three months of workshops, weekly team sessions and direct implementation coaching.
Explore guided implementation ↗Include all the learning and guidance, with ownership of agreed operations and major implementation decisions.
Explore managed delivery ↗Looking for a course, help with a difficult problem, or someone to build a solution? Tell us where you are and what you'd like to do next.