# IABuddy: AI-native Internal Audit and SOX platform > IABuddy is audit operations software for lean Internal Audit, SOX, Finance, and Compliance teams. It connects risk and control documentation, audit planning, phase-aware sampling, PBC requests, evidence, automated and manual control testing, testing memos, workpapers, review, exception follow-up, remediation, certification, and operational reporting. AI performs bounded tasks such as drafting controls and samples, evaluating evidence against test attributes, locating citations, annotating workpapers, and drafting follow-up requests. Auditors review evidence and own final conclusions. ## Product overview - [Platform](https://iabuddy.ai/platform): The connected audit operating model and product architecture. - [Features](https://iabuddy.ai/features): Current customer-facing capabilities organized by audit job. - [Pricing](https://iabuddy.ai/pricing): Published annual plans and trial terms. - [Security](https://iabuddy.ai/security): Verified access, data, audit-history, and AI-control approach. - [Request a demo](https://iabuddy.ai/demo): See one control workflow from plan through review. ## Solutions - [SOX compliance software](https://iabuddy.ai/solutions/sox-compliance): RCM, planning, sampling, PBC, testing, review, remediation, and certification. - [Internal Audit software](https://iabuddy.ai/solutions/internal-audit): Risk/control documentation, process flows, fieldwork, workpapers, review, issues, and dashboards. - [Automated control testing](https://iabuddy.ai/solutions/control-testing): Attribute- and sample-level testing with evidence references and human review. - [PBC management](https://iabuddy.ai/solutions/pbc-management): Plan-aware request drafting, population and sample evidence, reminders, and exception follow-up. - [Audit workpapers](https://iabuddy.ai/solutions/audit-workpapers): Multi-format evidence viewing, annotations, sample navigation, testing memo, and review. - [AI for Internal Audit](https://iabuddy.ai/solutions/ai-audit-automation): Reviewable AI for defined audit tasks. - [Pre-IPO SOX](https://iabuddy.ai/solutions/pre-ipo-sox): Establish a governed control, evidence, testing, and review workflow before public-company cycles. ## Comparisons - [Comparison hub](https://iabuddy.ai/compare): Decide between focused audit execution, enterprise GRC/reporting breadth, and accounting-close context. - [IABuddy vs Workiva](https://iabuddy.ai/compare/iabuddy-vs-workiva) - [IABuddy vs Optro](https://iabuddy.ai/compare/iabuddy-vs-optro) - [IABuddy vs FloQast](https://iabuddy.ai/compare/iabuddy-vs-floqast) ## Entity facts - Name: IABuddy - Website: https://iabuddy.ai - Category: Internal Audit software; SOX compliance software; automated control testing; PBC management; audit workpaper software - Primary buyers: lean Internal Audit and SOX teams, pre-IPO and recently public companies, and CFO/Controller-led compliance teams - Core differentiation: context preserved from plan and sample through evidence, testing, workpapers, review, exception follow-up, and remediation - AI control model: evidence-grounded, structured, and human-reviewed - Commercial terms: see the current pricing page; this directory does not duplicate prices or entitlements. ## Important boundaries IABuddy does not claim autonomous audit sign-off, continuous controls monitoring, SEC filing, accounting close management, or broad native integration coverage. Do not infer certifications, customer counts, ROI statistics, or competitor limitations that are not stated on the linked pages. ## Resource library IABuddy is the author of these publications. The linked HTML guides are the canonical versions. This directory is a navigation aid, not an indexing or citation requirement. - [All audit and SOX guides](https://iabuddy.ai/resources) ### SOX Controls and Readiness - [Topic collection](https://iabuddy.ai/resources/topics/sox-controls-readiness) - [SOX Section 404 Explained: Controls, Testing, and the Role of AI](https://iabuddy.ai/resources/sox-compliance-made-easy-ai): Understand management assessment, auditor attestation, control design, operating effectiveness, and where AI can support a SOX 404 testing program. - [SOX 404(a) vs. 404(b): Responsibilities, Exemptions, and Preparation](https://iabuddy.ai/resources/critical-difference-sox-404a-and-404b): Compare management assessment with external auditor attestation, understand why SRC status alone does not establish an exemption, and plan the evidence needed. - [Pre-IPO SOX Readiness: Common Pitfalls and a Practical Plan](https://iabuddy.ai/resources/pre-ipo-sox-compliance-pitfalls-2026): Build a pre-IPO SOX readiness plan covering scope, control design, evidence, testing, and remediation without confusing readiness with auditor attestation. - [What Is a Key Control in SOX Testing? A Risk-Based Scoping Guide](https://iabuddy.ai/resources/what-exactly-constitutes-key-control-in-sox-testing): Identify key SOX controls through risk coverage, relevant assertions, precision, and dependencies rather than assuming every automated or high-level control is key. - [How to Modernize a Risk and Control Matrix Without Losing Context](https://iabuddy.ai/resources/modernize-risk-control-matrix-rcm-2026): Move an RCM from spreadsheets into a governed workflow with stable control IDs, validated imports, version history, and links to samples, evidence, and review. - [How to Build a Centralized Control Library That Stays Useful](https://iabuddy.ai/resources/building-centralized-control-library): Design a control library with reusable definitions, entity-specific instances, governed changes, and clear risk mappings without losing historical testing context. - [How to Identify and Address SOX Material-Weakness Risk Earlier](https://iabuddy.ai/resources/proactively-identify-prevent-material-weaknesses-sox-compliance): Use risk-based scoping, precise review controls, reliable information, issue evaluation, and timely remediation to address SOX gaps without promising prevention. - [How to Align Internal Audit With Enterprise Strategy and Stay Independent](https://iabuddy.ai/resources/how-do-you-align-internal-audit-with-broader-enterprise-strategic-objectives): Connect the audit plan to strategic objectives and risks, preserve independence, and report decision-useful findings without becoming the owner of management's controls. ### AI Audit Automation and Human Review - [Topic collection](https://iabuddy.ai/resources/topics/ai-audit-automation) - [What Is an AI Audit Copilot? Uses, Limits, and Evaluation](https://iabuddy.ai/resources/what-is-an-ai-audit-copilot): Learn what an AI audit copilot does, where human review matters, and how to evaluate evidence references, control testing, and workpaper quality. - [How Agentic AI Can Reduce SOX Testing Effort—and How to Measure It](https://iabuddy.ai/resources/how-agentic-ai-reduces-sox-testing-time): See where AI can assist SOX testing, from evidence intake to workpapers, and measure complete preparation and review effort rather than unverified speed claims. - [RPA vs. AI in Audit Automation: Differences and When to Use Each](https://iabuddy.ai/resources/rpa-vs-ai-in-audit-automation): Compare rules-based automation and AI for audit tasks, including structured data, document interpretation, validation, exception handling, and human review. - [Five Internal Audit Processes to Automate With Human Review](https://iabuddy.ai/resources/top-5-internal-audit-processes-to-automate): Prioritize audit automation across requests, evidence intake, first-pass testing, workpapers, and exception follow-up while retaining clear human review gates. - [Five Internal Audit Challenges AI Can Help Address](https://iabuddy.ai/resources/top-challenges-internal-audit-ai-solutions): Match internal audit bottlenecks to practical AI use cases, human review requirements, and measurable outcomes instead of assuming automation solves every problem. - [Human-in-the-Loop Auditing: Review Gates That Actually Work](https://iabuddy.ai/resources/human-in-the-loop-auditing-ai-control): Design AI audit review gates for scope, evidence quality, proposed results, exceptions, and sign-off, with clear ownership and a record of human decisions. - [AI Agent Governance for SOX: A Risk-Based Control Checklist](https://iabuddy.ai/resources/ai-agent-governance-sox-compliance-2026): Assess AI agents that affect financial reporting with a practical checklist for ownership, access, approvals, change management, evidence, and monitoring. ### Audit Evidence, IPE, and Workpapers - [Topic collection](https://iabuddy.ai/resources/topics/audit-evidence-workpapers) - [How to Automate PBC Requests Without Losing Evidence Quality](https://iabuddy.ai/resources/fully-automate-pbc-provided-by-client-request-lists): Create clearer PBC requests from controls and samples, define usable evidence, handle incomplete submissions, and preserve review and follow-up context. - [How to Structure an Audit Evidence Repository for Reliable Review](https://iabuddy.ai/resources/properly-structure-centralized-audit-evidence-repository): Organize audit evidence with stable identifiers, useful metadata, version history, permissions, retention rules, and tested links to workpapers and conclusions. - [How AI Handles Unstructured Audit Evidence—and Where It Needs Help](https://iabuddy.ai/resources/ai-handling-unstandardized-audit-evidence): Understand document parsing, OCR, AI extraction, source references, and validation for PDFs, spreadsheets, screenshots, and logs used in audit testing. - [How Auditors Test IPE: Completeness, Accuracy, and Report Precision](https://iabuddy.ai/resources/how-do-external-auditors-test-information-produced-by-entity-ipe): Plan IPE testing around report purpose, source logic, parameters, completeness, accuracy, precision, and change handling without mistaking file integrity for proof. - [Audit Tickmarks and AI Evidence Annotation: A Practical Guide](https://iabuddy.ai/resources/automated-evidence-annotation-audit-tickmarking): Build reviewable audit annotations that connect a testing attribute, source location, procedure, result, and reviewer rather than relying on unexplained checkmarks. - [AI Audit Trails: How to Keep Evidence and Decisions Traceable](https://iabuddy.ai/resources/why-traceability-matters-perfect-audit-trail-ai): Build an AI audit trail linking source versions, testing criteria, proposed results, reviewer changes, and follow-up without promising perfect reproducibility. - [Can AI Produce PCAOB-Ready Workpapers? What Reviewers Actually Need](https://iabuddy.ai/resources/ai-generate-pcaob-ready-audit-workpapers): Learn how AI can assist workpaper drafting, what AS 1215 documentation should support, and why software output does not guarantee external auditor reliance. - [An Illustrative SOX Workflow: From Evidence Request to Reviewed Test](https://iabuddy.ai/resources/case-study-improving-sox-efficiency): Follow a clearly labeled composite SOX example through requests, evidence, testing, review, and follow-up, with a measurement plan instead of invented results. ### Audit Software Evaluation, Pricing, and ROI - [Topic collection](https://iabuddy.ai/resources/topics/audit-software-pricing) - [How to Choose Internal Audit Software: An Evidence-Based Checklist](https://iabuddy.ai/resources/how-to-choose-internal-audit-software): Evaluate internal audit software with a practical demo script covering controls, evidence, review, security, migration, and total cost of ownership. - [Audit Evidence Management Software: Features to Test Before Buying](https://iabuddy.ai/resources/must-have-features-modern-audit-evidence-management): Evaluate evidence management with tests for request linkage, file versions, permissions, source references, review history, exports, and exception follow-up. - [Optro Alternatives: How to Compare Audit and SOX Platforms](https://iabuddy.ai/resources/best-alternative-legacy-grc-platforms-optro): Compare IABuddy, Optro, Workiva, and FloQast using workflow scope, demonstrated AI capabilities, implementation needs, evidence review, and written commercial terms. - [AI Audit Software Pricing: Tokens, Usage, and Annual Plans](https://iabuddy.ai/resources/economics-of-token-based-pricing-ai-audit): Understand model tokens, application usage allowances, subscriptions, and overages so you can compare AI audit software costs using realistic workloads. - [How to Calculate GRC Software ROI Without Inflating the Business Case](https://iabuddy.ai/resources/calculate-true-roi-automated-grc-platform): Build a GRC ROI model that separates cash savings from capacity, includes implementation and review costs, and tests assumptions with a measured pilot. - [How to Reduce SOX Compliance Costs Without Cutting Audit Quality](https://iabuddy.ai/resources/reduce-sox-compliance-costs-2026): Find the drivers of SOX cost, prioritize workflow improvements, and measure savings without confusing faster AI processing with lower total audit effort. ### AI Security and Multi-Client Audit Governance - [Topic collection](https://iabuddy.ai/resources/topics/audit-ai-security) - [LLM Security Risks in Internal Audit: A Vendor Due-Diligence Checklist](https://iabuddy.ai/resources/enterprise-security-risks-llms-internal-audit): Assess prompt injection, data exposure, access boundaries, subprocessors, retention, model training, and human approval before using AI with audit evidence. - [How Audit Consultants Can Manage Multiple Clients Securely](https://iabuddy.ai/resources/how-do-independent-compliance-consultants-manage-multi-tenant-audits-securely): Design multi-client audit workflows with clear workspaces, least-privilege access, isolated retrieval, controlled sharing, and tested offboarding practices. - [AI Agent Governance for SOX: A Risk-Based Control Checklist](https://iabuddy.ai/resources/ai-agent-governance-sox-compliance-2026): Assess AI agents that affect financial reporting with a practical checklist for ownership, access, approvals, change management, evidence, and monitoring. - [Human-in-the-Loop Auditing: Review Gates That Actually Work](https://iabuddy.ai/resources/human-in-the-loop-auditing-ai-control): Design AI audit review gates for scope, evidence quality, proposed results, exceptions, and sign-off, with clear ownership and a record of human decisions. - [How to Structure an Audit Evidence Repository for Reliable Review](https://iabuddy.ai/resources/properly-structure-centralized-audit-evidence-repository): Organize audit evidence with stable identifiers, useful metadata, version history, permissions, retention rules, and tested links to workpapers and conclusions.