ISO 27001 | ISO 42001 AI Governance | Official Zoho Partner

EU AI ACT READY

The Governance Layer for Fast, Fair & Auditable AI Hiring

Add Smart Sifty to your ATS, AI agents and hiring systems — and make every decision explainable, compliant and defensible.

TRUST BUILT IN

ISO 27001
ISO 42001 AI Governance
Official Zoho Partner
Your ATS or AI hiring agents

Smart Sifty governance layer

Sits between your systems and every decision · click a stage

Explainability

Score reasoning shown

Fairness

Bias checks by group

Audit trail

Full decision history

Human oversight

Recruiter can override


J
John Matthews

Candidate 02

92.5%
Overall Score
Experience
94%
Hard Skills
92%
Soft Skills
90%
Education
88%
Location
100%

Strong hunter profile with 18 years selling IT services into banking. Score reasoning shown for every criterion.

Bias checks by group — this job project

Gender No disparity detected
Age group No disparity detected
Nationality No disparity detected
Education background Within threshold

Selection rates monitored continuously across protected groups.

Full decision history — Candidate 02

  • 09:41:02CV received from ATS
  • 09:41:05Score computed — reasoning stored
  • 09:41:06Fairness check passed
  • 10:12:34Recruiter viewed profile

Every decision step is logged and exportable for regulators.
Recruiter review — final say stays human
AI recommends Advance to interview for John Matthews (92.5%). The recruiter can accept or override with a reason.
Accept recommendation Override with reason

Overrides are captured in the audit trail with justification.

Enterprise Hiring Has An AI Governance Gap

AI is now embedded in recruitment workflows across
most organisations. But in many cases:

This creates a growing gap between:

At the same time:

The challenge is no longer whether to use AI. It is how to govern it.

Is a 90% candidate match really a 90% match?A score tells you what. We show you why. 

AI Hiring Intelligence Built Around Governance Smart Sifty enhances existing Workforce Management ATS and CRM with:

Every workflow is designed to ensure:

WHY NOW

The Market Shift Has Already Happened

Three forces are converging:

1. AI adoption in hiring is accelerating
Recruitment teams are already using AI at scale.

2. Regulation is tightening
The EU AI Act classifies hiring using AI as high-risk

3. Governance expectations are rising
Boards, regulators, investors, and procurement teams now expect:

The State Of AI 2026

Independent AvePoint report from.

750 IT, security, and AI leaders across the globe

BUSINESS OUTCOMES

Faster Hiring. Better Governance. Lower Risk.

Smart Sifty enables:

no candidate missed, every applicant assessed

Measurable Operational Impact

Typical outcomes include:

“Our Talent Team Is Saving On Average Two Hours A Day Using Smart Sifty”

Mukul Chowery Head Of Operations

Platform Comparison

The key difference between Smart Sifty vs Native ATS AI

Feature Native ATS AI Smart Sifty Advantage
Main Purpose General recruitment support Specialised search & sifting engine Smart Sifty
Processing Speed Moderate 300+ CVs in under 60 seconds Smart Sifty
Dormant Candidate Data Limited activation Strong activation of legacy database Smart Sifty
Bias Mitigation Basic Advanced & auditable Smart Sifty
Training Approach Trained on own ATS data (can reinforce bias) Independent, skills-first models Smart Sifty
Explainability & Compliance Varies Full audit trails, EU AI Act ready Smart Sifty
Integration Built-in Plug-and-play intelligence layer Both
Best Suited For Light daily tasks High-volume hiring & precise shortlisting Smart Sifty

Common Questions About Our Compliance

Question Smart Sifty Response
How is bias measured? Smart Sifty excludes personally identifiable information (PII) from candidate scoring. Attributes such as name, age, gender, nationality, email address, mobile number and postcode have no influence on candidate rankings. Our models are independently assessed for bias every month, and customers can access bias assessment reports.
How are scores generated? Candidates are assessed across eight weighted categories aligned to the job requirements. Categories are weighted according to their importance for the role—for example, work history carries a higher weighting than certifications, where appropriate.
How do you train your models? Approximately 97% of Smart Sifty's decision-making is deterministic software logic, providing consistent and repeatable results. AI components operate within predefined rules rather than learning from customer recruitment data. Customer CVs and hiring outcomes are not used to retrain or improve the models.
Do you store resumes? No. Candidate resumes remain within the customer's existing ATS or database. Smart Sifty processes the information without permanently storing candidate CVs.
Can recruiters override the AI? Yes. Recruiters remain in control. Smart Sifty analyses the job description and structures it into editable categories—including mandatory requirements, preferred requirements, languages, responsibilities and benefits—which users can review and modify before candidates are assessed.
Is every recommendation logged? Yes. Every candidate assessment is logged with the candidate's score, assessment details and timestamp, creating a complete audit trail for review and compliance purposes. This is stored in ATS candidate records.
Is there model versioning? Yes. Customers can choose between two assessment models: Aurora and Meridian. Both models undergo monthly bias assessments, with reports available to customers. Feature updates are released quarterly and undergo penetration testing and quality assurance before deployment.
How are prompts stored? Smart Sifty does not use prompt-based workflows or prompt engineering as part of its candidate assessment process.

Smart Sifty Priced Per Company

Both Modles Available with Platform license

Smart Sifty Free

Free per month per company
Sift for Free Register account and have access to both Aurora or Meridian Models in one platform
  • Switch between the two models
  • 100 Free Resumes Per Month
  • store each project
  • share reports

Aurora

Built for speed and volume
Built for speed and volume A direct evaluator with an open, possibility-oriented mindset
  • Select this model for
  • high volume,
  • quick processing,
  • surfacing top talent quickly•
  • Writes concise summaries
  • Instant Results
BEST SELLER

Meridian

Built for compliance and detailed reports
A direct evaluator with a methodical, mindset.Detailed candidate reporting where strong compliance and audit trails are required
  • Select this model for
  • holding candidates strictly against stated job requirements
  • writes detailed summaries with specific evidence and context
  • frames gaps explicitly, with reasoning and references

Smart Sifty Free

Free per month per company
Sift for Free Register account and have access to both Aurora or Meridian Models in one platform
  • Switch between the two models
  • 100 Free Resumes Per Month
  • store each project
  • share reports

Aurora

Built for speed and volume
Built for speed and volume A direct evaluator with an open, possibility-oriented mindset
  • Select this model for
  • high volume,
  • quick processing,
  • surfacing top talent quickly•
  • Writes concise summaries
  • Instant Results
BEST SELLER

Meridian

Built for compliance and detailed reports
A direct evaluator with a methodical, mindset.Detailed candidate reporting where strong compliance and audit trails are required
  • Select this model for
  • holding candidates strictly against stated job requirements
  • writes detailed summaries with specific evidence and context
  • frames gaps explicitly, with reasoning and references