All agents
S
Résumé Parser

Sift/ Mia

Every applicant read, tagged, and ranked the moment they apply.

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Sift reads every incoming résumé, extracts the experience and skills that matter, and tags the profile so qualified people surface immediately.

S

Sift

Working on it

Live

Event

Résumé parsed

92%

Ava Martinez

CNANight shiftCPR
Ranked for open roleTop 3
Qualified applicant surfaced first

AI execution

0/4

Extracting experience and skills...

Next

Matching qualifications to open roles

Next

Adding searchable profile tags

Next
Sift processing...

Result

Waiting for result

The agent is still checking the source data and applying the workflow rules.

The pipeline
Trigger

New application submitted

Action

Parses the résumé and tags the profile by qualification and experience.

Data

Résumé file

Output

Experience + skills, with profile tags

seconds
to screen a résumé
100%
of applicants tagged
~5x
faster screening

The shift

The old way
  • Résumés pile up in an inbox waiting for a human
  • Strong candidates go cold before anyone reads them
  • Screening quality depends on who's reviewing that day
With Sift
  • Parses and tags every application on arrival
  • Surfaces qualified, role-matched people first
  • Applies the same screening standard every time

Why it changes everything

Hiring speed stops being capped by recruiter hours. The right candidates are visible the moment they apply, so you fill roles from a pool that's already organized by qualification.

The references
  • Eliminates manual résumé triage
  • Standardizes screening so good candidates don't slip
  • Keeps your talent pool searchable by skill and experience

Claim $1,000 in AI setup credits to turn a Sift-style workflow into your first Teambridge agent.

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