Privacy-Engineered Recruitment Intelligence

AFCJ converts recruitment lifecycle data into privacy-preserving intelligence delivering long-term strategic insight while eliminating the risks of storing sensitive candidate records.

Privacy Safe
Risk Reduced
Data Compliant

Privacy Engineered Analytics

Retain Signal. Eliminate Risk. Built for UK compliance-first recruitment ecosystems where long-term intelligence must exist without prolonged personal data exposure.

UK Market Embedded
GDPR Aligned Architecture
AI Governance Ready
0 PII Retention
100% Signal Preserved
GDPR Aligned by Design
UK Market Focused

About AFCJ Ltd

AFCJ Ltd is a UK-based B2B SaaS platform delivering privacy-preserving recruitment analytics for agencies, RPOs, and enterprise talent teams. The company solves a structural industry problem: organisations cannot retain long-term hiring intelligence without accumulating sensitive candidate data that increases compliance and security risk.

Modern Applicant Tracking Systems routinely delete candidate journey records within 12–18 months, removing multi-year visibility into funnel performance, recruiter effectiveness, and hiring trends. To compensate, many organisations create shadow datasets in BI tools and spreadsheets, multiplying personal data exposure across systems.

AFCJ replaces this fragile model with a privacy-engineered analytics infrastructure that preserves behavioural signal without retaining identifiable records. Instead of storing raw candidate journeys, the platform converts recruitment events into irreversible analytical representations that remain usable for long-term trend analysis, benchmarking, and forecasting.

The platform integrates directly with ATS and CRM systems, enabling multi-source data fusion under GDPR-aligned governance controls. Cohort-level safeguards, behavioural uniqueness thresholds, and contract-aware enforcement ensure that analytics remain compliant, auditable, and secure.

By operationalising the principle of “retain signal, not records,” AFCJ enables recruitment organisations to maintain strategic workforce intelligence, support AI-driven optimisation, and withstand regulatory scrutiny without compromising privacy or operational insight.

Founder & CEO

Delaine Nayanapogula

Data Science Leader · Privacy Engineering Advocate · Recruitment Analytics Specialist

Delaine Nayanapogula is the instrumental founder of AFCJ Ltd, bringing over five years of experience in recruitment analytics, business intelligence, and GDPR-aligned data governance within UK operational environments.

Through senior roles at Robert Walters, Randstad Sourceright, and Resource Solutions, she has designed advanced BI platforms, automated recruitment KPI frameworks, and audit-ready reporting systems supporting high-volume hiring operations.

AFCJ was born directly from her first-hand exposure to ATS retention limits, shadow data risks, and compliance bottlenecks leading her to architect a privacy-first recruitment analytics infrastructure that retains signal without retaining personal data.

UK Market Embedded
GDPR Aligned Engineering
MSc Data Science (2025)
Six Sigma Certified

Why She Is Uniquely Positioned

  • Designed recruitment lifecycle pipelines using SQL & APIs
  • Built Power BI & Looker dashboards for executive MI reporting
  • Delivered compliance-ready analytics under GDPR constraints
  • Led cross-functional data & operations teams
  • Specialised in recruitment funnel optimisation & KPI design
AFCJ directly reflects her operational experience in UK recruitment analytics, governance-led BI, and privacy-safe system architecture.

The AFCJ Intelligence Process

AFCJ begins with secure, contract-aware integration across Applicant Tracking Systems and recruitment CRM environments. Rather than extracting raw candidate records for long-term storage, the platform isolates behavioural recruitment signals within controlled governance boundaries.

These recruitment lifecycle events are transformed into anonymised analytical representations engineered to preserve decision-making intelligence while eliminating identity retention. This ensures that organisations retain performance insight without accumulating regulatory exposure.

Cohort-level safeguards, uniqueness thresholds, and GDPR-aligned enforcement mechanisms operate continuously, ensuring audit resilience and compliance stability across long-term workforce planning horizons.

The result is executive-ready recruitment intelligence that supports forecasting, optimisation, and AI readiness without compromising privacy integrity.

Why AFCJ

Recruitment organisations face a structural conflict between long-term intelligence and regulatory exposure. Traditional systems either delete valuable historical data or retain sensitive records that increase compliance risk.

AFCJ eliminates this trade-off by preserving behavioural signal without storing identifiable information — enabling secure, governance-aligned, multi-year recruitment insight.

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Zero PII Architecture

Convert recruitment events into irreversible analytical signals without storing personal data.

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Multi-Year Visibility

Maintain trend intelligence across hiring cycles without regulatory risk.

⚖️

Governance Embedded

Cohort safeguards, contract-aware controls, and audit-ready compliance structure.

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AI Optimisation Ready

Structured for predictive modelling, optimisation and responsible automation.

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ATS Integration

Direct integration with recruitment systems and enterprise CRMs.

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Executive Intelligence

Strategic insight for board-level workforce planning and forecasting.

Frequently Asked Questions

Clear answers about AFCJ’s privacy-engineered recruitment analytics infrastructure, governance model, and long-term workforce intelligence strategy.

AFCJ converts recruitment lifecycle events into anonymised, non-identifiable analytical signals. Instead of retaining candidate records, the platform preserves behavioural insight, ensuring regulatory resilience while reducing compliance risk.
Yes. AFCJ integrates with ATS and CRM environments, transforming structured recruitment data into privacy-safe intelligence without disrupting existing workflows.
The platform is architected under GDPR-aligned principles, including cohort safeguards, governance enforcement, audit-readiness controls, and contract-aware data handling.
Yes. The signal-based design enables responsible AI modelling, recruitment performance forecasting, and funnel optimisation without exposing personal candidate data.
Modern ATS systems often delete candidate records after 12–18 months, removing long-term visibility into hiring performance. AFCJ preserves multi-year strategic intelligence without retaining sensitive personal information.
AFCJ is built for UK recruitment agencies, RPO providers, and enterprise talent teams that require long-term performance visibility while maintaining strict compliance and governance standards.
By converting recruitment activity into durable analytical signal, AFCJ enables executives to track funnel efficiency, recruiter performance, cohort behaviour, and hiring trends over extended time horizons without privacy exposure.

Confidential Engagement

AFCJ provides privacy-first recruitment analytics infrastructure engineered for UK agencies and enterprise hiring ecosystems.

All discussions are confidential and relate to platform evaluation, pilot deployment, governance review, or strategic partnership exploration.

GDPR Aligned · Signal Retention · Cohort Privacy Controls
🔐 Secure Channel

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