Complete AI Native Internal Audit Platform

Internal Audit, Operating in Real Time

PeytonixAI is a modern internal audit management platform built for regulated institutions. AI agents execute the internal audit lifecycle end to end, from planning and testing to evidence, monitoring, and reporting, while auditors provide judgment, oversight, and assurance.

Customer Controlled Data Bring Your Own AI SOX & ICFR Ready Built for Regulated Industries

Audit Is No Longer Retrospective.

It's Continuous. Real Time. Always On.

Legacy audit looks backward. PeytonixAI operates in real time. Audit coverage is continuous, testing is automated, and risk posture is visible as it changes, not months after the fact.

How Audit Has Changed

From Periodic Engagements to Continuous Assurance

Then

Audit coverage was tied to discrete engagements. Risk was assessed at a point in time and revisited months later.

Now

AI agents continuously evaluate inherent risk, control performance, and emerging issues across the audit universe, providing real time assurance, not retrospective insight.

From Manual Testing to AI Executed Audit Work

Then

Auditors selected samples, reviewed evidence, documented results, and assembled workpapers manually, cycle by cycle.

Now

AI agents execute testing, evaluate evidence, apply attributes, flag exceptions, and draft conclusions. Auditors review, challenge, and stand behind the results.

From Static Reports to Live Risk Posture

Then

Reports reflected historical conditions, assembled weeks or months after fieldwork.

Now

Risk posture updates continuously as data changes, tests run, and exceptions emerge, giving leadership a live view of assurance across the organization.

This isn't more automation. It's a different audit operating model.
PeytonixAI is built for continuous assurance, real time insight, and full audit coverage, all in one integrated system.

Everything Internal Audit Needs.
All in One Place.

PeytonixAI is not an AI add on. It is a full audit management platform with intelligence woven into every step of the audit lifecycle.

01 Audit Planning

Audit Universe

Maintain a complete, continuously updated audit universe across entities, processes, systems, and regulations.

Annual Risk Assessments

AI agents conduct comprehensive annual risk assessments across the audit universe using structured scoring, risk factor weighting, and documented rationale. Inherent risks are identified and quantified, total inherent and residual risk scores are calculated, control maturity is evaluated, and priority areas are determined to ensure audit plans align with the organization's most significant and emerging risks.

Annual & Multi Year Audit Planning

Organize and assign annual and multi year audit plans with full visibility into audit universe coverage and risk alignment. AI agents help determine comprehensive coverage across the organization as priorities evolve.

02 Engagement Planning & Risk Control Mapping

Engagement Planning & Risk Control Matrix

AI agents synthesize engagement documents into structured Planning Memos and fully populated Risk Control Matrices. Entity context, scope, key risks, and audit approach are drafted automatically from uploaded documentation. Each control is populated with control objectives, type, frequency, ownership, risk alignment, and hierarchical inherent risk classification. Test objectives, sample methodology, sample sizes, and individually defined testing attributes are generated to support both design and operating effectiveness procedures, delivering a complete, regulator-ready RCM without manual drafting.

03 Control Evaluation & Testing

Control Design Effectiveness (Test of Design)

AI agents evaluate whether controls are properly designed to effectively and efficiently mitigate the intended risk. The assessment confirms alignment with regulatory requirements while identifying design gaps, redundant steps, unclear ownership, and optimization opportunities.

Operating Effectiveness Testing

AI agents execute control testing procedures, analyze evidence, validate samples against defined attributes, and generate structured workpapers. Auditors focus on reviewing exceptions and conclusions rather than manually inspecting documentation.

Continuous Auditing

Controls are tested continuously against live data sources. AI agents surface exceptions in real time, enabling proactive remediation instead of waiting for the next audit cycle.

Natural Language Audit Testing

Auditors describe testing objectives in plain English. AI agents translate intent into executable audit procedures across connected systems, without scripting, queries, or manual data extraction.

04 Issue Management

Issue Identification & Risk Intelligence

AI agents identify control failures, assess severity, determine root cause, and quantify risk exposure based on evidence, not management assertions. Upon identification, AI agents draft findings using structured condition, cause, effect, and recommendation narratives, enabling consistent and defensible documentation.

Issue & Remediation Management

Findings are tracked from identification through validation and closure. Evidence is linked, marked up, and maintained within structured finding workpapers to preserve traceability and audit support. AI agents perform remediation validation testing to confirm issues are fully resolved before closure.

05 Reporting

Reporting & Executive Communication

Real time dashboards and AI generated audit reports provide transparent insight into risk posture, audit progress, and remediation status. Board ready summaries are produced automatically from live audit data.

06 Data Connectivity

Secure Data Source Connectivity

Connect directly to ERPs, databases, APIs, and SaaS platforms. AI agents test controls against live systems without copying, moving, or centralizing sensitive data, preserving data residency and security boundaries.

Built for Trust

Security, control, and compliance are not features. They are the foundation of how PeytonixAI is designed and operated.

Customer Isolated Data Architecture

Customer runtime, audit metadata, and AI orchestration operate in the customer's AWS environment. Evidence files are stored in customer-owned S3 buckets and encrypted with customer-controlled KMS keys. Customer evidence contents are not stored in the PeytonixAI control plane.

Bring Your Own AI

You control the models. You control the data. Use your preferred AI provider with your own API keys. AI agents operate within your security boundaries, no cross customer training, no data reuse, no vendor lock in.

Complete Audit Trail

Every action. Every decision. Fully traceable. All user actions, system events, and AI assisted decisions are logged with immutable audit trails, providing full transparency for internal review, external auditors, and regulators.

Built for Regulated Industries

Designed for environments where trust is non-negotiable. PeytonixAI is built for banks, credit unions, insurers, regulated fintechs, and public companies with requirements for SOX, ICFR, and enterprise risk governance.

See PeytonixAI in Action

30 minute demo tailored to your audit program. No commitment required.

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