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Case Studies

Proven delivery in regulated, high-volume environments.

Real engagements with enterprises and public institutions, anonymized to protect client confidentiality while demonstrating measurable outcomes, governance discipline, and operational scale.

Financial Services · Compliance Operations

Reducing KYC processing time by 60% for a regulated enterprise.

Client profile: Enterprise financial services organization operating in a regulated environment.

Challenge: Manual, document-heavy KYC and onboarding processes created delays, inconsistent data quality, and audit risk as volumes increased.

Solution: Academy-trained delivery teams deployed under structured QA, compliance-aware review workflows, and SLA-driven turnaround targets. Operations covered document digitization, OCR validation, PII handling, and exception management end-to-end.

Their compliance awareness and escalation discipline set them apart. We never felt like we were handing off risk — only execution. — Rob Dalton, Compliance & Risk Manager
60%
Reduction in document processing time
100%
Audit-ready records with clear QA trails
3 mo
From pilot to managed-operations rollout
Healthcare & Life Sciences

Digitizing 250,000+ patient records while reducing administrative delays by 50%.

Client profile: Private healthcare provider managing large volumes of patient and administrative records.

Challenge: Paper-based records increased patient wait times, limited staff access to information, and introduced data-protection risk.

Solution: High volumes of patient files digitized and validated using structured workflows aligned with NDPR data-protection requirements. Quality controls and access governance embedded throughout delivery.

250k+
Patient records digitized
50%
Reduction in administrative delays
NDPR
Full data-handling alignment
Legal Services · Legacy Transformation

Recovering 40% of office space by digitizing 20+ years of legal archives.

Client profile: Legal services organization managing decades of physical case files and regulatory documentation.

Challenge: Legacy archives consumed physical space, slowed case preparation, and exposed the firm to compliance and retention risks.

Solution: Historical records converted into a secure, searchable digital system with validation, indexing, and governance controls designed for legal workflows.

20+ yrs
Of legal archives digitized
40%
Office space recovered
0
Compliance penalties incurred
Public Sector & Institutional Programs

Strengthening data governance across a public-sector program with structured digitization.

Client profile: Public-sector and institutional program managing sensitive records and reporting obligations.

Challenge: Fragmented physical and digital records limited transparency, slowed reporting, and increased governance risk.

Solution: Structured digitization, validation, and classification workflows implemented with reporting controls and secure access management.

+
Reporting accuracy & accessibility
+
Data governance & audit readiness
+
Scalable, secure operations
Insurance & Risk Management

Cutting claims processing turnaround by 45% across multiple product lines.

Client profile: Mid-to-large insurance organization operating across motor, health, and property insurance.

Challenge: Increasing claims volumes, inconsistent data quality, and delays caused by manual review processes.

Solution: Human-in-the-loop workflows designed to validate OCR outputs, review claim forms, classify supporting documents, and flag anomalies. Multi-layer QA and reporting controls embedded to ensure consistency and audit readiness.

45%
Reduction in claims TAT
+
Data accuracy across claims
Audit
Ready documentation
AI & Data Operations

Scaling annotation and evaluation for an AI platform without sacrificing quality.

Client profile: Technology company building AI and machine learning systems requiring high-quality training and evaluation data.

Challenge: Scaling annotation and evaluation without sacrificing consistency, quality, or control.

Solution: ADBOK-trained delivery teams deployed under defined SLAs, multi-layer QA, and clear evaluation guidelines.

+
Dataset reliability & consistency
+
Faster model iteration cycles
Scale
Maintained QA at production volume

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