TARA REYES

TA Crew: Candidate Screening

TARA REYES

Every applicant scored, every call still the recruiter's.

A large APAC employer, such as a bank, mobile operator or insurer, receives about 10,000 applications a month across hundreds of open requisitions, each with its own hard gates and criteria. Recruiters cannot apply them consistently at that volume, and candidates who miss one role but fit another are rarely redirected. Tara scores every applicant against the requisition's own criteria, while every advance, redirect or decline stays a recruiter's decision with the evidence on record.

0 hrs
Freed a month, worth ~$22.5K
Next day
To screening outcome, not 3–5 days
0%
Near-misses checked for other roles

Capabilities

Four steps, every morning.

Lists who is waiting

Runs daily at 06:00 and lists every candidate pending screening, with the requisition and the level applied for.

Scores against the requisition

Fetches that requisition's hard gates, criteria and threshold fresh, parses the resume and scores every candidate, tagging each match exact or semantic.

Looks for another fit

When a candidate does not qualify, checks other open requisitions at the same level or below and records a suggested redirect or rejection.

Hands the evidence to the recruiter

Writes the score, matched skills and notes back to the candidate record and notifies the recruiter in the team's messaging tool.

Where it is deployed

INDUSTRIES

Banking
Telecommunications
Insurance
Professional services

TEAMS

Talent acquisition
Recruiting

Governance

Tara holds no screening criteria of its own: every run reads the requisition's guidance fresh from the recruitment platform, and the recruiter decides every outcome.

Autonomy tier
Advise. Scores every applicant and recommends an outcome. The recruiter advances, redirects or declines, and can ask for an on-demand rescreen of any candidate.
Human Principal
A named person owns performance and approves scope. Every AI Coworker reports to a human.
Off limits
Never changes a candidate's stage. Never applies criteria of its own. Every advance, redirect or decline stays with a recruiter, with the evidence recorded for audit and fairness review.
Audit
Every score, matched skill and recruiter decision logged with its evidence, for audit and fairness review.

Built on AWS

Candidate records, resumes and evidence stay in your own AWS account under a customer-managed key. Modelled platform cost is about $0.12 per application.

Amazon EKS
Amazon Bedrock AgentCore Runtime
Amazon Bedrock with Anthropic's Claude Haiku 4.5
Amazon SQS
Amazon EventBridge Scheduler
Amazon RDS for PostgreSQL
Amazon ElastiCache
Amazon S3
Elastic Load Balancing
AWS WAF
AWS KMS
AWS Secrets Manager
AWS CloudTrail
Amazon CloudWatch

Deployment

This runs as an OBZ-led engagement in your own AWS account. Tara reads each requisition's screening guidance, so a new role family is configured in your recruitment platform; the coworker itself stays the same.

Scoped to your requisition and application volume.

Talk to us about deploying Tara Reyes

What we need from you

  • Access to your recruitment platform or ATS
  • Screening criteria set for each role
  • A business messaging tool and an AWS landing zone
  • Your named Human Principal

Your next coworker is already trained. It's waiting for a role.