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AI Native Platform for Audit

Deliver Faster, Sharper
Defensible Audits

Surface every risk. Automate evidence testing. Deliver review-ready workpapers in minutes, not days.
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The Problem

Audit teams are drowning in work that

shouldn't require their expertise.

01

Risk assessed on instinct, not data

Static templates replace real analysis. High-risk areas remain hidden until late.

02

Evidence testing trapped n Excel

Manual matching is slow, error-prone, leaves exceptions hiding in plain sight.

03

Workpapers rebuilt everytime

Auditors rewrite conclusions the system already knows - delaying review and sign-off.

04

Documents scattered across inboxes

Evidence lives in emails and drives, with little visibility into what's missing or overdue.

Solutions

One Platform.

The complete audit.

Risk Intelligence
Uncover every risk.
Test where it matters most.
Evaluate every transaction, prior periods with 30+ audit control inputs to dynamically score risk across financial statement line items.
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Transaction scoring
Transaction Scoring
Score every transaction using Machine Learning algorithm.
Anomaly Detection
Identify unusual patterns across accounts and periods.
Evidence automation
Upload evidence. AI verifies it.
You only review exceptions.
Auto extract data, validate transactions against source and find discrepancies in seconds. Every finding is fully traceable to the original document.
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Done
AI-assisted substantive testing with variance detection
Done
Source-linked evidence for every audit conclusion
Done
Exceptions prioritized for faster reviewer sign-off
smart workpapers
Workpapers that write themselves, based on what you just tested
Instantly generate AI-drafted workpaper conclusions from testing results, findings, and audit assertions. Then review, adjust, and sign off in minutes.
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Done
AI-drafted conclusions informed by testing and risk assessment
Done
Evidence automatically linked to each workpaper
client collaboration
Centralize client. communication.
Eliminate the chaos.
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Request Builder
Customised information requests at click of a button.
Template library
Choose from our library or customise your own for reuse
financial statement review
Catch every discrepancy,
before sign-off.
AI automatically reviews financial statements for mathematical accuracy, cross-referencing, and prior-period consistency, flagging discrepancies before they reach the partner's desk.
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AI Agent

Professional & context driven agents

to run your audits

Workpaper Agent
Automatically generates structured audit workpapers from testing activity, evidence linkage, and documented reviewer conclusions.
Materiality Agent
Calculates planning and performance materiality thresholds dynamically, aligning benchmarks with engagement risk and financial scale.
Client Information Agent
Creates, assigns, and tracks structured information requests while maintaining centralized communication and status visibility
Evidence Automation Agent
Extracts financial data, matches documents to ledger entries, and flags discrepancies using contextual verification logic.
Reviewer Agent
Summarizes high-risk findings, highlights unresolved issues, and supports defensible audit judgments before sign-off.
Audit Copilot
Provides contextual assistance across workflows, suggesting next steps, surfacing insights, and accelerating audit execution.

Why us?

What sets

Finspectors Apart

Trullion
Trullion
Fieldguide
Fieldguide
Inflow
Inflow
CaseWare
Caseware
Datasnipper
Datasnipper
Finspectors logo
Finspectors
Trullion logo
Trullion
Where does it start?
Upstream Capability
Done
Starts at materiality, risk, scoping. Downstream agents use those upstream decisions
Enters at fieldwork. Planning, Risk, and materiality are entirely out of scope
Agents vs Chatbot
Agentic AI Claim
Done
6 agents: Workpaper · Request · Risk · Substantive Test · Review · Reporting.
Trulli is a Q&A chatbot. It does not run audit procedures autonomously.
Built for whom
Audit-Native Design
Done
Built by Chartered Accountants with Big 4 experience. Designed for audit, not adapted.
Core product is lease accounting. Audit added in 2024. Accounting-first architecture.
Finspectors logo
Finspectors
Finspectors background
Green stylized letter F logo on a dark background.
Fieldguide
QC 1000 / ISQM / SQMS
Firm Quality Management
PCAOB QC 1000, ISQM, SQMS - live, tied to engagement data. Not a module. Native to every audit
Finspectors Background
No quality management layer. Firm-level governance is out of scope
AI / ML Risk Engine
Risk Intelligence
AI/ML scores every GL transaction before fieldwork. Risk is ranked, not sampled.
Finspectors Background
AI speeds up procedure execution, Does not score the full GL for risk.
DNA
Audit-Native Depth
Built for financial audit by practicing CAs, Audit depth, not advisory breadth.
Finspectors Background
Spans SOC, advisory, and financial audit. Broad by design, not audit-native
Finspectors logo
Finspectors
Finspectors background
Inflō logo with gradient colors from red to orange to green.
Inflow
Agentic vs Assistive
AI Positioning
Named agents run procedures - Materiality, Evidence Automation, Reviewer, Audit Copilot
Finspectors Background
Inflo's stated position: assistive only. Not to automate conclusions. By design.
Document-Level AI
Evidence Verification
Upload evidence. AI verifies it. You review exceptions only.
Finspectors Background
ADA analytics flag anomalies. Document-level verification remains audito-led
AI-Drafted Conclusions
Workpaper Generation
Workpapers generated from evidence and test outcomes. Agent writes, auditor signs.
Finspectors Background
Workpapers are managed digitally. Content is still auditot-authored
Finspectors logo
Finspectors
Finspectors background
Minimalist red abstract logo with a circular arc and a central upward chevron shape.
CaseWare
Agentic vs Assistant
Execution Model
Agent generated workpaper, PBC list and report. Auditor reviews and approves
Finspectors Background
AiDA: open -> ask -> verify -> paste.
Auditor still assembles the output
Workflow Coverage
AI Output Scope
AI produces workpapers, PBC lists, reports, and file-level reviews.
Finspectors Background
AI produces summaries and narrative only. Core outputs are not AI-generated.
Total cost of ownership
Platform Sprawl
One platform, one contract, one onborading. Everything included.
Finspectors Background
Full coverage needs DAS + SQM + Sherlock. Three separate products.
Finspectors logo
Finspectors
Finspectors background
White geometric shape consisting of seven parallelograms on a dark blue background.
Datasnipper
Add-on vs Platform
Tool Tax
Doc-matching is on feature inside a full platform. No separate vendors needed
Finspectors Background
Always bolted on. Firms still need workpapers, risk tools, QMS, and Excel
Excel vs Audit-Native
Agent Architecture
Agents know scope, plan, and testing. They act within the full audit lifecycle
Finspectors Background
Agents live inside Excel only. No engagement context outside the spreadsheet
Scope
Risk & Quality
ML engine scores 100% of GL. QM covers all four standards bodies. Both native
Finspectors Background
No risk engine. No quality management. Enters at execution, stops at execution.
Trullion
Trullion
Fieldguide
Fieldguide
Inflow
Inflow
CaseWare
Caseware
Datasnipper
Datasnipper
Finspectors logo
Finspectors
Dark green geometric logo resembling a capital T with a vertical arrow pointing up beneath it.
Trullion
Upstream Capability
Done
Starts at materiality, risk, scoping. Downstream agents use those upstream decisions
Enters at fieldwork. Planning, Risk, and materiality are entirely out of scope
Agentic AI Claim
Done
6 agents: Workpaper · Request · Risk · Substantive Test · Review · Reporting.
Trulli is a Q&A chatbot. It does not run audit procedures autonomously.
Audit-Native Design
Done
Built by Chartered Accountants with Big 4 experience. Designed for audit, not adapted.
Core product is lease accounting. Audit added in 2024. Accounting-first architecture.
Green stylized letter F logo on a dark background.
Fieldguide
Finspectors logo
Finspectors
Firm Quality Management
No quality management layer. Firm-level governance is out of scope
PCAOB QC 1000, ISQM, SQMS - live, tied to engagement data. Not a module. Native to every audit
Risk Intelligence
AI speeds up procedure execution, Does not score the full GL for risk.
AI/ML scores every GL transaction before fieldwork. Risk is ranked, not sampled.
Audit-Native Depth
Spans SOC, advisory, and financial audit. Broad by design, not audit-native
Built for financial audit by practicing CAs, Audit depth, not advisory breadth.
Inflō logo with gradient colors from red to orange to green.
Inflow
Finspectors logo
Finspectors
AI Positioning
Inflo's stated position: assistive only. Not to automate conclusions. By design.
Named agents run procedures - Materiality, Evidence Automation, Reviewer, Audit Copilot
Evidence Verification
ADA analytics flag anomalies. Document-level verification remains audito-led
Upload evidence. AI verifies it. You review exceptions only.
Workpaper Generation
Workpapers are managed digitally. Content is still auditot-authored
Workpapers generated from evidence and test outcomes. Agent writes, auditor signs.
Minimalist red abstract logo with a circular arc and a central upward chevron shape.
CaseWare
Finspectors logo
Finspectors
Execution Model
AiDA: open -> ask -> verify -> paste.
Auditor still assembles the output
Agent generated workpaper, PBC list and report. Auditor reviews and approves
AI Output Scope
AI produces summaries and narrative only. Core outputs are not AI-generated.
AI produces workpapers, PBC lists, reports, and file-level reviews.
Platform Sprawl
Full coverage needs DAS + SQM + Sherlock. Three separate products.
One platform, one contract, one onborading. Everything included.
White geometric shape consisting of seven parallelograms on a dark blue background.
Datasnipper
Finspectors logo
Finspectors
Tool Tax
Always bolted on. Firms still need workpapers, risk tools, QMS, and Excel
Doc-matching is on feature inside a full platform. No separate vendors needed
Agent Architecture
Agents live inside Excel only. No engagement context outside the spreadsheet
Agents know scope, plan, and testing. They act within the full audit lifecycle
Risk & Quality
No risk engine. No quality management. Enters at execution, stops at execution.
ML engine scores 100% of GL. QM covers all four standards bodies. Both native

Audit Data Connectivity

Integrate Systems Without

Friction

Securely connect accounting, payroll, and ESOP platforms to retrieve financial data and supporting documents seamlessly.
Done
20+ verified integrations
Done
Secure OAuth authentication
Done
Automated document retrieval
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Blue and green abstract stylized Y and A letters logo.
Automatic Data Processing company logo
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Sage logo
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Blue stylized logo composed of curved shapes forming a dynamic abstract design.
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Green circular icon with white stylized lowercase letters 'qb' for QuickBooks.
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ROI Calculator

Estimated

Finspectors ROI

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Estimated Output

Annual Profit Impact

$84,000

Potential Revenue Capacity

$133,333

Additional Margin

3.5%

Engagements

Additional Capacity

3.3

Engagements

Net Profit Incremental

$2,800

per engagement

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The Impact

What changes when your team

stops doing the heavy lifting

50

%

Reduction in administrative tasks

2

weeks

Reduction in avg. audit timeline

100

%

Transaction review

100

+ hours

Saved per audit

Ways to work with us

Same Platform

Different Levels of Support

Product
Your Team.
Our Software
Full audit platform - planning through reporting
AI agents across every workflow
Your team runs every engagement independently
Replaces your entire fragmented tool stack
Assist
Your team. Our software. Our specialist alongside.
Everything in Platform
Finspectors specialist embedded in 1 workflow area
Choose where - PBC, sampling, workpapers, or review
Your team retains full control and sign-off
Managed
We run the audit.
You sign it.
Finspectors handles full operational execution
Risk assessment, testing, workpapers, and draft report
Your firm reviews, judges, and signs the opinion
Nothing client-facing changes

In every model - client relationship, professtional judgement, and sign-off stay with your firm.

Explore ModelsTalk to us

Testimonials

What users are saying

about us

"A very promising approach to a real industry challenge. Leveraging AI for audit automation and solving data-related hurdles makes this a compelling solution."

‍
Nitin Navish
CEO, Aster Clinics
LinkedIn logo with white letters 'in' on a blue background.
"Impressive work by the team in tackling long-standing audit pain points. This has the potential to reshape how audits are conducted."
Edwin Chan
Advisor to Board, Computine Group
LinkedIn logo with white letters 'in' on a blue background.
100+
hours saved per audit
2 weeks
Reduction in average audit timeline
"The evidence automation capability stands out. This tackles a real and pressing problem in the audit space."

‍
Yang Yan
Corporate Finance Lead, Carousell
LinkedIn logo with white letters 'in' on a blue background.
"Finspectors has completely transformed how our team  manages tasks. The platform has made our workflow  seamless and boosted overall productivity."

‍
John Mathews
Project Manager
LinkedIn logo with white letters 'in' on a blue background.
"A very promising approach to a real industry challenge. Leveraging AI for audit automation and solving data-related hurdles makes this a compelling solution."

‍
Logo of Aster DM Healthcare with stylized initials 'aM' in blue and green circle, surrounded by text 'Aster DM Healthcare Since 1987'.
Nitin Navish
CEO
LinkedIn logo with white letters 'in' on a blue background.
"Impressive work by the team in tackling long-standing audit pain points. This has the potential to reshape how audits are conducted."
Computime logo with blue horizontal bars forming a circular shape above the company name.
Edwin Chan
Advisor to Board
LinkedIn logo with white letters 'in' on a blue background.
"The evidence automation capability stands out. This tackles a real and pressing problem in the audit space."

‍
Carousell logo with a stylized white letter C and red background.
Yang Yan
Corporate Finance Lead
LinkedIn logo with white letters 'in' on a blue background.

Blogs

Insights to help you

Audit Better

View All
Audit Methodology
July 15, 2026
AI Automation Tools Auditors Use for Evidence Matching
- AI automation tools are changing how auditors perform evidence matching by automating document classification, data extraction, and reconciliation. - This article reviews leading tool types, evaluation criteria, and their impact on audit accuracy and timelines.
Audit Execution
July 15, 2026
Can AI Perform Audit Testing?
Compliance
July 15, 2026
Is AI Audit Software Compliant with Audit Standards?
Audit
July 15, 2026
I Already Have a CA. Why Do I Still Need Audit Software?
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