Built by Auditors, Engineered for Audit Precision
AuditAI is an AI-powered audit platform that transforms unstructured documents and ledgers into standardised, review-ready audit outputs. Built specifically for UK audit firms under FRS 102 and IFRS, with transparency, evidence, and regulatory expectations at its core.
AuditAI is designed to support the full audit lifecycle. Today, it focuses on transforming raw client data into structured, review-ready audit evidence — with full traceability and auditor oversight.
Focused on data ingestion, evidence extraction, and review support — not audit opinions, sign-off, or methodology decisions.
What AuditAI changes for audit firms
Time
Reduce hours spent preparing, cleaning, and restructuring client data so teams can focus on auditing and review.
Risk
Reduce avoidable extraction and transcription errors with defensible, source-linked audit trails.
Review Efficiency
Make reviewer and partner oversight faster with structured, navigable, review-ready evidence packs.
Scalability
Absorb growing data volumes without proportional increases in audit hours or reviewer bottlenecks.
Why audit delivery is becoming structurally harder
- Exponential growth in client data and documentation
- Manual extraction from PDFs, spreadsheets, and legacy systems
- Reviewer bottlenecks caused by inconsistent evidence formats
- High reliance on spreadsheets never designed for audit scrutiny
- Increasing inspection risk when evidence trails are unclear
Mandatory regulatory changes are now layering additional complexity on top of existing challenges. For example, amendments to FRS 102 will require many entities to recalculate and remeasure balances that were previously stable.
- Reperformance of complex calculations at scale
- Greater reliance on historic data that is often incomplete
- Increased judgement points requiring clear, reviewable logic
- Heightened partner and inspection exposure during transition
How AuditAI Does It
Platform foundations
- Unified audit data layer
- Consistent evidential traceability
- Auditor-in-control governance model
- Security and access controls for regulated environments
1. Ingest
Ledgers, spreadsheets, PDFs, scans — even when inconsistent or incomplete.
2. Extract
Key figures, terms, and data points structured for audit use.
3. Review
Source-linked outputs; anomalies flagged for auditor attention — not concluded automatically.
- Trial Balances and Ledgers
- Financial Data
- Other Client Data (PDFs, Scans, Messy Text)
- Fixed Asset Registers
A practical workflow teams can adopt quickly
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1
Bulk Upload
Ingest packs at scale
Upload PDFs/CSVs/spreadsheets with format detection. -
2
Pre-process
Prepare for extraction
OCR and layout clean-up for messy files. -
3
Validate
Consistency checks
Rules-based checks and exception handling. - 4 Extract Evidence extraction Rules-first extraction with citations to sources.
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5
Flag
Highlight anomalies
Surface unusual patterns for auditor review. -
6
Export
Reviewer-friendly outputs
Generate clean evidence packs for sign-off workflows.
Standard-aligned calculations
Lease schedules and supporting outputs designed for UK reporting contexts (FRS 102 / IFRS), with clear assumptions and auditability.
Evidence & traceability
Link key inputs and extracted terms back to source documents so reviewers can navigate evidence quickly and confidently.
Reviewer-ready outputs
Produce structured schedules and packs that support review, sign-off, and inspection readiness — without changing your methodology.
Auditor-in-control by Design
AuditAI is built for regulated audit environments and conservative adoption. It supports professional judgement — it does not replace it.
- No automated audit opinions
- No sign-off without human approval
- No “black box” conclusions presented as facts
- Full traceability back to source documents
- Clear reviewer navigation and oversight
- Controls aligned with UK audit expectations (FRS 102 / IFRS)
- Security and governance foundations for firm adoption
Why AuditAI
Built for Audit, Not Generic AI
Purpose-built workflows shaped around audit methodology, terminology, and real file review expectations.
Rules First, AI When Needed
A hybrid engine that prioritises deterministic rules and escalates only where judgement or ambiguity exists.
Accurate, Traceable, Defensible
Citations link each extraction and assumption back to source documents and applicable standards for a clear audit trail.
Security & Governance by Design
Encryption, role-based controls, tenant isolation, audit logs, and firm-ready governance workflows.
Connects to Your Stack
Works alongside your storage, data rooms, and core systems—minimising disruption to teams.
Partner-Level ROI
Reduce manual fieldwork in complex areas, accelerate review cycles, and scale output without scaling headcount.
Get the Future of Auditing in Your Inbox
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Designed by former auditors
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Built for regulated environments
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Auditor-in-control by design












