Independently Verified
AI Accuracy.
AbacusOS accuracy isn't a marketing claim — it's independently verified by Ernst & Young. Through rigorous attestation services, EY validates our AI model performance, output reliability, and compliance controls so regulated institutions can deploy with confidence.
The EY Attestation Framework for AI
Ernst & Young applies the same rigor to AI model attestation that they bring to financial audits. The EY attestation of AbacusOS covers three critical dimensions: model accuracy, output reliability, and governance controls.
Model Accuracy Validation
EY independently tests AbacusOS model outputs against curated ground-truth datasets across regulated industry use cases — banking, healthcare, and insurance.
Ground-truth benchmark testing across 10,000+ queries
Domain-specific accuracy measurement for financial services
Hallucination rate quantification and threshold validation
Cross-model consistency testing across AbacusOS versions
Output Reliability & Consistency
Beyond single-query accuracy, EY validates that AbacusOS produces consistent, reproducible outputs across repeated runs, edge cases, and adversarial inputs.
Deterministic output verification across identical prompts
Edge-case and adversarial input stress testing
Response stability measurement over extended time periods
Confidence calibration — predicted certainty vs. actual accuracy
Governance & Control Attestation
EY attests that the governance controls around AbacusOS — access management, audit trails, model versioning, and change controls — operate effectively.
Model lifecycle governance and change management review
Access control and separation of duties validation
Audit trail completeness and tamper-resistance testing
Incident response and remediation procedure evaluation
How EY Attests AbacusOS Accuracy
The attestation process follows a structured methodology adapted from ISAE 3000 and SSAE 18 standards — the same frameworks used for SOC 2 examinations — applied specifically to AI model performance.
Phase 1: Scoping & Benchmarking
EY defines the attestation scope, identifies relevant use cases for regulated industries, and establishes ground-truth benchmarks for accuracy measurement.
Use Case Identification
EY catalogs every production use case — compliance queries, customer service, document analysis, AML screening — and weights them by risk and regulatory significance.
Ground-Truth Dataset Curation
Independent benchmark datasets are curated with verified correct answers, reviewed by domain experts in banking, healthcare, and insurance.
Accuracy Thresholds Definition
Pass/fail thresholds are set per use case based on regulatory expectations, industry standards, and Abacus's published accuracy commitments.
Phase 2: Testing & Verification
EY executes independent testing against AbacusOS in a controlled environment, measuring accuracy, consistency, and failure modes across thousands of queries.
Independent Model Testing
EY runs AbacusOS through 10,000+ test queries across all scoped use cases, with Abacus engineering having no access to test data or results until completion.
Blind Evaluation Protocol
Test queries and expected answers are managed exclusively by EY. Abacus cannot influence, preview, or modify test conditions during the evaluation window.
Control Effectiveness Testing
EY tests governance controls — access management, model versioning, audit logging — through a combination of inspection, observation, and re-performance.
AI accuracy you can prove to examiners.
AbacusOS is the only on-premise AI platform with accuracy independently verified by Ernst & Young. Request the full attestation report for your compliance team.
AI Accuracy: Self-Reported vs. Independently Verified
See why independently attested AI accuracy matters more than vendor-reported benchmarks for regulated institutions.
| # | Feature | Typical AI Vendors | AbacusOS (EY Attested) |
|---|---|---|---|
| ROW-01 | Accuracy Claims | Self-reported by vendor | Independently verified by EY |
| ROW-02 | Testing Methodology | Internal benchmarks, cherry-picked results | Blind evaluation on curated ground-truth data |
| ROW-03 | Hallucination Rate | Not disclosed or measured | Quantified, threshold-validated, and attested |
| ROW-04 | Governance Controls | Vendor self-assessment | EY-attested control effectiveness |
| ROW-05 | Audit Trail Integrity | Vendor-managed logs | Tamper-proof logging verified by EY |
| ROW-06 | Regulatory Credibility | Marketing claims for examiners | Third-party attestation report for examiners |
Independently Verified by Ernst & Young
Accuracy that stands up to examination
10,000+ blind test queries. 99.5% verified accuracy. Sub-0.1% hallucination rate. Third-party attestation that gives examiners, boards, and regulators the evidence they need.
The Impact of Independent Verification
Institutions deploying EY-attested AbacusOS report measurable improvements in examiner confidence, deployment speed, and board-level AI governance.
Examiner Confidence
Third-party attestation transforms AI from a regulatory concern into a documented, verified capability that examiners can evaluate against established standards.
EY
Attested accuracy
100%
Examiner acceptance rate
Faster Board Approval
Board risk committees approve AI deployment significantly faster when accuracy is independently verified rather than vendor self-reported.
3×
Faster board approval
< 60
Days to production
Reduced Model Risk
EY attestation quantifies model risk with independently measured accuracy rates, hallucination thresholds, and control effectiveness — satisfying SR 11-7.
99.5%
Verified accuracy
< 0.1%
Hallucination rate
99.5%
Verified Accuracy
Independently measured by EY
10,000+
Test Queries
Blind evaluation protocol
< 0.1%
Hallucination Rate
Attested threshold compliance
EY
Attestation Partner
Big Four assurance services
Deploy AI That Passes Every Audit
900K monthly users went live in under 24 hours. SOC 2 Type II, ISO 27001, and HIPAA certified from day one.
AI infrastructure for regulated industries. On-premise deployment, zero data egress, examiner-ready compliance. Trusted by 900K monthly users processing 8M queries daily.
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