AiP - 2026 Pricing, Features, Reviews & Alternatives

AiP (Assurance Intelligence Platform) is an artificial intelligence powered audit planning platform designed for external auditors performing financial statement and government contract audits. The solution supports engagements under International Standards on Auditing, Generally Accepted Auditing Standards, Public Company Accounting Oversight Board standards, and Federal Acquisition Regulation requirements. The platform automates entity research, risk assessment, and creation of standards aligned audit documentation to generate a complete audit planning file in approximately fifteen minutes. It accommodates CPA and Chartered Accountant firms, sole practitioner practices, and audit professionals operating in aerospace, defence, government contracting, and diverse industry sectors under IFRS, United States Generally Accepted Accounting Principles, and United Kingdom Generally Accepted Accounting Principles frameworks.

The core functionality centers on automated entity intelligence gathering and sequential document generation. Upon creation of an engagement, the system requires input of entity name, industry classification, year end date, and materiality threshold to initiate background research, regulatory filing analysis, and compliance screening. Five key planning documents are generated in sequence: Entity Level Controls and Fraud Assessment, Materiality Determination, Engagement Risk Profile, Significant Audit Areas, and Audit Strategy Memorandum. The risk assessment module assigns inherent, control, and detection risk ratings for account balances and audit areas based on live intelligence rather than static templates. The platform calculates overall materiality, performance materiality, and triviality thresholds according to selected benchmarks and adopted accounting frameworks. For government contract audits, a specialized Federal Acquisition Regulation engine produces Contractor Intelligence Reports, audit planning memorandums consistent with cost accounting board three dash two zero four risk methodology, and contract specific audit programmes for incurred cost engagements and DCAA compliance reviews. The voice enabled assistant Cora offers professional guidance on audit standards, platform navigation, and engagement methodology through natural language interaction. All generated outputs are exportable in Microsoft Word format with one click packaging into a single archive containing planning documents, intelligence reports, risk matrices, and interaction transcripts.

Framework flexibility permits selection of audit standards and accounting frameworks at the outset of each engagement. Users may configure files in accordance with International Standards on Auditing, Generally Accepted Auditing Standards, or Public Company Accounting Oversight Board standards alongside IFRS, United States Generally Accepted Accounting Principles, or United Kingdom Generally Accepted Accounting Principles. The government contract audit module supports Federal Acquisition Regulation Part Thirty One, Cost Accounting Standards Four Hundred One through Four Hundred Eighteen, the Defence Federal Acquisition Regulation Supplement, and the DCAA Contract Audit Manual methodology. A document upload feature accommodates inclusion of supporting files and working papers. Security controls align with Service Organization Control two requirements by providing end to end encryption, preventing use of client data for model training, restricting staff access to user content, and enabling on demand data deletion.

The application is web based and accessible through standard browsers with compatibility across multiple devices and operating systems. The export process facilitates Microsoft Word document output for integration into audit workflows. Public documentation does not disclose application programming interface specifications or technical integration protocols, indicating a standalone audit planning solution that operates independently rather than as part of a broader audit management suite.