Oxus

Problem/Solution Report

Problem: Internal audit teams are burdened by manual, document‑heavy workflows that slow delivery and increase cost. Pain points include expensive outsourcing when understaffed, inconsistent flowcharts and workpapers, hours lost searching PDFs, screenshots, and policy documents for evidence, and excessive time spent on formatting and repetitive tasks rather than higher‑value risk assessment and judgment. These constraints diminish audit coverage, increase cycle times, and can weaken assurance quality.

Solution: Oxus offers an AI‑native platform built specifically for internal audit. The product turns hours of scoping, documentation, and control testing into review‑ready outputs within minutes. Core capabilities include:

• Automated control testing and workpaper generation.
• Automatic conversion of walkthrough documentation into process flowcharts and narratives.
• AI‑assisted SOX scoping and risk assessment.
• Document intelligence that can search, analyze, and annotate large evidence repositories (with optional web‑search augmentation).

Workflow & Value: Users upload evidence, let AI analyze content, generate the workpaper, and move to review. By standardizing documentation and accelerating evidence synthesis, Oxus reduces reliance on outsourcing, improves consistency across auditors, and frees time for higher‑judgment tasks. The platform offers enterprise‑grade security with flexible deployment options (Oxus‑hosted or customer‑hosted) to meet internal security, privacy, and regulatory requirements.

Strategic Differentiation: Oxus’s AI‑first approach differentiates it from legacy GRC or audit tools that evolved from templates and workflow engines. Its focus on converting unstructured, heterogeneous evidence into structured, review‑ready outputs and visual flowcharts directly addresses internal audit’s core bottlenecks. As audit teams expand coverage (e.g., ITGCs, operational audits, ESG control testing), Oxus can extend modules and integrations while preserving the speed and consistency benefits of AI‑generated documentation.

Market and Competitors Report

Market landscape: Oxus operates at the intersection of internal audit/audit‑management software and the broader GRC platform market. Analyst estimates place 2025 audit/audit‑management software TAM around $1.9 B‑$3.4 B, with CAGRs in the low‑ to mid‑teens, and the adjacent eGRC market around $18‑$21 B in 2024‑2025, growing double‑digits through 2029‑2030. Demand is driven by regulatory complexity, cloud adoption, and the need to automate internal audit workflows that historically depended on manual documentation and spreadsheet‑based workpapers.

Competitors and substitutes: Well‑known enterprise vendors serving internal audit include AuditBoard, Workiva, Diligent (formerly Galvanize/HighBond), Wolters Kluwer’s TeamMate, MetricStream, Archer, SAP Audit Management, IBM OpenPages, Resolver, Onspring, SAI360, Hyperproof, and others. Category hubs like G2’s Audit Management Software showcase dozens of products, with Workiva frequently highlighted as a leader. The CFO Club’s roundup lists additional players such as Ideagen Pentana, Netwrix (IT audit), MindBridge (financial audit analytics), and many more.

Positioning and differentiation: Incumbents emphasize comprehensive suites and integrations across audit, risk, policy, and reporting. Oxus differentiates as an AI‑native platform tightly focused on internal audit’s most labor‑intensive steps—scoping, walkthroughs/flowcharts, control testing, and workpaper generation—promising outputs that are “review‑ready” within minutes. Its document intelligence and automatic flowchart generation directly target evidence sprawl and inconsistent documentation, while flexible deployment (customer‑hosted options) addresses security concerns common in audit functions.

Target audience and trends: Primary users are internal audit teams in mid‑market and enterprise organizations, including SOX program owners and operational audit leaders. Trends favoring Oxus include AI penetration into enterprise workflows, pressure to expand audit coverage without proportional headcount, and convergence of audit artifacts with GRC platforms. As Oxus matures, partnerships or integrations with GRC suites could enhance adoption while preserving its speed advantage in audit content generation.

Founders Background Report

Oxus is led by three MIT‑trained founders who bring complementary strengths across AI engineering, audit/compliance workflows, and finance.

• Janet Liu – CEO & Co‑founder – Holds an MIT B.S. in Computer Science, Economics, Data Science, and Finance. Previously worked on digital payments research at the U.S. Federal Reserve and on investment strategy at D.E. Shaw, blending quantitative rigor with regulated‑industry context and large‑scale data analysis.
• Melinda Liu – COO & Co‑founder – Also holds an MIT B.S. in Computer Science, Economics, Data Science, and Finance. Built AI products for fintech and worked in finance at JPMorgan, combining product execution in highly regulated financial domains with operational and go‑to‑market experience.
• Christine Watts – CTO & Co‑founder – Holds an MIT B.S. in Artificial Intelligence. Prior to Oxus she built ML systems for early‑ and growth‑stage startups and held consulting roles at BCG and NERA, positioning Oxus to architect an AI‑native platform with enterprise‑grade reliability.

Oxus was founded in 2025 (Winter 2026 Y Combinator batch) and is based in the San Francisco Bay Area. The YC profile lists an active status and an initial team size of three. The founders emphasize direct engagement with internal audit teams and highlight Oxus’s AI‑first approach to transforming audit workflows from manual, document‑heavy processes into fast, review‑ready outputs.