CAM stands for Central Applicant Management. It's one friendly system, made for staffing firms and HR teams, that takes the most painful part of hiring off your plate. You get ranked matches with clear reasons in seconds, all sitting right inside the tools your team already uses.
The big firms quote six figures and hand you back a roadmap. We like to do it the other way around: a set scope, a set price, and a system that's up and running by the time we shake hands.
Every piece of it adds up to the same thing: something your recruiters can log into tomorrow morning and actually trust.
Candidates scored and ranked against each opening in seconds, with the reasoning behind every match right out in the open, never hidden.
All those hours of reading resumes by hand turned into a pipeline that quietly works through the pile on its own schedule.
Secure portals for applicants and your team alike: file storage, the right access for the right people, and candidate stages, all wired into your current site.
We go step by step, at a steady pace, from a rough idea to a system your firm leans on every day.
A short, focused, paid sprint that turns a rough idea into a clear, set-scope plan. You walk away with something you could actually build, whether or not you keep going with us.
Something you can click through in the first sprint, then steady progress toward a live, secure, fully plugged-in system. Usually about six weeks from start to finish.
The first month of running live is on us. After that it rolls into a light monthly plan: keeping an eye on things, fine-tuning, and adding new pieces as you grow.
Pop in a few numbers about your firm and watch the estimate update as you go. No email required.
These are rough estimates based on the numbers you type in. Real results depend on how complex your workflow is, how clean your data is, and how your team takes to it. Every CAM Systems build is set-scope, and we nail down your real numbers together during the Discovery Sprint.
A friendly 30-minute chat about where things get stuck, and exactly what we'd build to fix it.
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