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HAN Digital AssureOps – Quality, Governance & Control
AssureOps™ – Quality at Scale for Digital & AI Operations
Where Process Discipline Meets AI-Grade Precision
In AI-driven digital operations, quality is not a checkpoint - it is a system. At HAN Digital, our AssureOps™ framework embeds quality intelligence across the entire operational lifecycle, ensuring accuracy, consistency, compliance, and scalability from onboarding to live production.
Designed for data annotation, content moderation, image sourcing, tech annotation, and AI operations, our quality framework ensures every output is production -ready, audit- ready, and model-aligned.
Why Our QA Framework Matters
Modern digital operations demand more than speed they demand predictability, traceability, and control.
Why Our QA Framework Matters
Consistent quality across high-volume, multi-team operations
Reduced rework, error leakage, and downstream model risk
SOP-aligned execution with audit readiness
Faster ramp-up without compromising accuracy
Scalable quality governance for global programs
Our Quality Philosophy
Quality by design, not inspection
Measurable benchmarks, not subjective judgment
Continuous learning, not one-time certification
Human expertise amplified by structured controls
Our End-to-End QA Excellence Model
Structured Training & Knowledge Transfer
Every engagement begins with a structured onboarding and training program.
- Project-specific workflows, tools, and quality benchmarks
- SOP-driven task walkthroughs
- Mandatory training completion before any production access
- Interactive sessions to ensure clarity and alignment
This ensures every team member starts with a shared understanding of expectations and standards.
Interactive Q & A & Clarification Layer
Before assessment, we enable structured clarification.
- Dedicated Q & A sessions post-training
- Named entity recognition (NER) for drugs, symptoms, diagnoses
- De-identification and PHI removal (HIPAA/GDPR compliant)
- Intent classification for chatbot/NLP medical assistants
- Annotated discharge summaries, EHR notes, pathology reports
Validation Gate 1: Process Knowledge Test (PKT)
Knowledge is validated before execution.
- PKT evaluates understanding of workflows, edge cases, and quality rules
- 95% accuracy threshold required to progress
- Retraining and reassessment for non-cleared participants
Only those who demonstrate high process confidence move forward.
Validation Gate 2: Practical Assessment
Execution capability is tested under near-production conditions.
- Realistic sample tasks using live or near-live data
- Evaluation of accuracy, adherence to SOPs, and task efficiency
- 98% performance benchmark for clearance
This gate ensures teams are production-ready, not just trained.
Precision Production Execution
Only certified team members transition into live production.
- SOP-driven task execution
- Continuous accuracy and timeliness monitoring
- Deviations flagged for immediate correction
- Live support from top performers and QA leads
Quality is actively managed—not passively inspected.
Dedicated QA Queue & Secondary Validation
Modern digital operations demand more than speed they demand predictability, traceability, and control.
QA Talent Selection
- QA roles assigned only to top-performing operators
- Proven consistency, domain expertise, and process mastery
- Trusted reviewers, not random auditors
QA Deployment Model
- Secondary validation of production outputs
- SOP compliance checks and error classification
- Continuous feedback to production teams
QA Checklist Framework
- Role-specific, task-specific QA checklists
- Mandatory checkpoints and escalation protocols
- Standardized review outcomes
Audit, Governance & Compliance Reviews
- Routine audit sampling and compliance checks
- Documentation of findings and root cause analysis
- Governance-ready reporting for clients
Continuous Improvement Engine
- Performance metrics tracked over time
- Process refinements driven by data and audits
- Targeted retraining and refresher sessions
- Continuous uplift in accuracy, efficiency, and throughput
Central Knowledge Repository (CKR): Single Source of Truth
At the core of our QA excellence lies the Central Knowledge Repository (CKR).
The CKR maintains:
- SOPs and workflow documentation
- Q & A logs and clarifications
- Minutes of Meetings (MOMs)
- Process updates and change logs
All documentation is:
- Version-controlled
- Ownership-assigned
- Audit-ready
This ensures consistency, traceability, and governance across teams and geographies.
Why Clients Trust HAN Digital for Quality Excellence
We specialize in flexible, purposeful, and research-based data-driven strategic solutions tailored for growing businesses.
Enterprise-grade quality governance
AI & MLOps-aligned validation frameworks
Scalable QA without loss of accuracy
Transparent metrics and audit trails
Proven execution across complex digital operations
Talk to our Expert
Built for Scale. Designed for Trust.
Whether supporting AI training data, moderation pipelines, image sourcing intelligence, or tech annotation, HAN Digital’s AssureOps™ framework ensures quality that scales without compromise.
Design a scalable QA framework aligned to your AI, data, and MLOps workflows.