AI-Native Assurance.
Human-Governed.
Audit-Ready.
The AI Operating Layer for Control Assurance.
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OVERVIEW
Built for Continuous Control Assurance and Regulatory Readiness
Today, control assurance remains heavily dependent on manual effort. Critical institutional knowledge resides with individual reviewers, while examination readiness is recreated during every review cycle. The cognitive work of interpreting controls, evaluating evidence, assessing design effectiveness, and identifying control gaps does not scale through additional headcount alone.
ANA changes that.
The Challenge
Manual Control Testing
Does Not Scale
Traditional GRC platforms streamline workflow, but control interpretation, evidence evaluation, and institutional knowledge retention still rely heavily on manual effort. As regulatory expectations evolve and operational complexity increases, this model becomes increasingly difficult to scale.
Inconsistent Results
Fragmented Systems
Missed Risk Linkages
No Adaptive Learning
Reactive Compliance
PILOT ECONOMICS
What a Pilot Changes
RCSA Cycle Time
Before20-30 daysAfter5-10 days
Assessment timelines reduced by 60-70%.
RCSA Specialist Effort
Before4-5 specialistsAfter1-2 specialists
Specialist capacity freed for strategy.
Cost Per Cycle
Before$28K-$45KAfter$8K-$18K
Same rigor. Stronger evidence. Lower cost.
Manual Effort Reduced
Before100% ManualAfterUp to 70%
Before and after figures from initial ANA pilots.
DEPLOYMENT
Built for Regulated Enterprises
ANA is deployed within your cloud infrastructure. Your data never leaves your environment. Every deployment is aligned with your internal IT and security governance before go-live.
Deployed in Your Cloud
AWS, Azure, GCP, or on-premises. Your infrastructure, your control.
Data Never Leaves Your Environment
No data stored, copied, or retained outside your environment.
Role-Based Access Controls
Granular RBAC with full audit logging and governance.
MetricStream, Archer & LOS Integrations
Native connectors to existing GRC and banking systems.
Encryption at Rest and in Transit
Enterprise-grade encryption enforced end-to-end.
IT & Security Review Before Go-Live
Every deployment reviewed and signed off by your IT team.
WHY ANA
What Makes ANA Different
Multi-Agent Architecture
Testing, Evidence, Audit Narrator, Risk Predictor, and HITL-based agents working together autonomously. 14+ specialized agents execute workflows in parallel without manual coordination.
Human-In-The-Loop
When evidence is ambiguous, ANA escalates workflows for reviewer validation, maintaining accountability, oversight, and audit defensibility throughout the process.
Voice / Chat Mode
"ANA, validate Q4 access controls" triggers an end-to-end run. Designed for executives and control owners who need speed without complexity.
Domain-Trained
Fine-tuned for SOX, ICFR, and credit risk workflows. ANA understands control context and audit language beyond keyword-based matching.
Adaptive Learning
ANA improves over time through reviewer feedback, validation outcomes, and historical decisions.
Multi-Lingual
Control owners interact in their own language through text or voice, removing translation bottlenecks across global teams.
HOW IT WORKS
Control Walkthrough
to Final Report, in One Workflow
ANA orchestrates the full assurance lifecycle within a single governed workflow.
Walkthrough Engine
ANA asks multiple questions, extracting narratives, objectives, systems, and control classifications.
Sample Acquisition & Data Transformation
ANA extracts transaction data and evidence references from uploaded files automatically.
Test of Design
ANA validates control design against risk mitigation, evidence, timing, and policy alignment.
Test of Effectiveness
ANA evaluates multiple samples, generating OE ratings and documented exception observations.
Risk Gap Identification
ANA identifies operational, compliance, fraud, and technology risk coverage gaps automatically.
Leadership Reporting
ANA generates audit-ready reports summarizing TOD, TOE, risks, findings, and recommendations.
From Periodic Testing
to Continuous Assurance
See ANA run against your own control library, inside your own environment.