PeytonixAI offers an AI‑native internal audit platform designed for regulated institutions, automating the entire audit lifecycle—from planning and testing to evidence collection, monitoring, and reporting—while keeping auditors in the loop for judgment and oversight. Its AI agents continuously evaluate risk, control performance, and emerging issues across the audit universe, delivering real‑time assurance and continuous coverage instead of periodic, retrospective reviews. The solution supports customer‑controlled data, BYO AI, and compliance‑focused workflows.
Funding
Funding not disclosed
Founders
Product
Problem
Regulated institutions rely on periodic internal audits that assess risk and control effectiveness only after data has been collected, leading to delayed insights and limited coverage. Manual sampling, evidence gathering, and report generation are labor‑intensive, increasing the risk of missed exceptions and inconsistent assurance across the organization.
Solution
PeytonixAI delivers an AI‑native internal audit platform that automates the full audit lifecycle in real time. AI agents continuously evaluate inherent risk, test controls, collect and assess evidence, and flag exceptions across the entire audit universe. Auditors retain judgment and oversight, reviewing AI‑generated findings and providing final assurance. The platform updates the organization’s risk posture continuously, giving leadership a live view of compliance and control performance rather than retrospective reports. Data remains under the customer’s control, and the system supports a bring‑your‑own‑AI model to align with existing governance frameworks.
Target Audience
Primary customers are internal audit functions within regulated industries such as banking, insurance, and healthcare that require continuous assurance and efficient control testing.
Features
- Autonomous AI agents that execute planning, testing, evidence collection, monitoring, and reporting without manual sampling
- Continuous, real‑time risk assessment that updates the organization’s risk posture as data changes
- Automated control testing with exception detection and attribute application, producing draft conclusions for auditor review
- Live dashboard displaying current assurance levels, emerging issues, and control performance metrics
- Customer‑controlled data environment with support for bring‑your‑own‑AI models to meet regulatory and governance requirements
- Integration hooks for existing audit management tools and data sources to feed AI agents with enterprise data