Solutions

One Platform.

The complete audit.

Risk Intelligence

Score every transaction. Know where to dig first.

30+ audit control inputs rank risk across every financial statement line item and prior period before fieldwork even starts.

See it in Action

Transaction Scoring

Every transaction scored automatically, using machine learning.

Anomaly Detection

Unusual patterns flagged across accounts and periods.

Evidence automation

Upload evidence. AI verifies it. You review exceptions.

Data is extracted automatically, matched against source, and checked for discrepancies in seconds every finding fully traceable to the original document.

See it in Action

AI-assisted substantive testing with variance detection

Source-linked evidence for every audit conclusion

Exceptions prioritized for faster reviewer sign-off

smart workpapers

Workpapers that write themselves

Instantly generate AI-drafted workpaper conclusions from testing results, findings, and audit assertions. Then review, adjust, and sign off in minutes.

See it in Action

AI-drafted conclusions informed by testing and risk assessment

Evidence automatically linked to each workpaper

client collaboration

One request. One inbox.
Zero chasing.

Every PBC request is tracked in real time — status, owner, and due date visible at a glance, with automatic reminders so nothing sits waiting on you.

See it in Action

Request Builder

Custom information requests in a click

Template library

Use ours, or build and reuse your own.

financial statement PREPARATION

Trial balance in.
Financial statements out.

Trial balance data is mapped to the right line items automatically, rolled forward from prior period, and checked for consistency, a full set of statements in a few clicks, not a few days.

See it in Action

Auto-mapped trial balance to financial statement line items

One-click roll-forward from prior period

Consistency checks flagged before partner review

Customisation

Use it end-to-end, or bolt it onto

what you already have

01 Planning

Build a structured, review - ready audit plan

02 Request Management

Centralize client requests and evidence

03 Risk & Analytics

Detech and assess
audit risks

04 Substantive Testing

Automate testing and evidence review

05 Financial Statement

Check financial statements for sign-off readiness

01 Process Walkthrough

Map current tools workflows, and pain points

02 Transformation proposal

Gaps and opportunities, prioritized by value

03 Phased implementation

Minimum disruption, highest-value wins first.

04 Testing and feedback

Real users test before firm-wide rollout.

05 Rollout

Phased, so business continuity is never at risk

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 Models Talk to us

Why us?

What sets

Finspectors Apart

Finspectors

Trullion

Where does it start?

Upstream Capability

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

6 modules: Test of details, process walkthrough, chatbot, reviewer, reporting, analytics

Trulli is a Q&A chatbot. It does not run audit procedures autonomously.

Built for whom

Audit-Native Design

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

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

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.

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.

Spans SOC, advisory, and financial audit. Broad by design, not audit-native

Finspectors

Inflo

Agentic vs Assistive

AI Positioning

Purpose-built modules run procedures - Test of details, evidence automation, reviewer, reporting.

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.

ADA analytics flag anomalies. Document-level verification remains audit-led

AI-Drafted Conclusions

Workpaper Generation

Workpapers generated from evidence and test outcomes. Agent writes, auditor signs.

Workpapers are managed digitally. Content is still auditor-authored

Finspectors

CaseWare

Agentic vs Assistant

Execution Model

Agent generated workpaper, PBC list and report. Auditor reviews and approves

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.

AI produces summaries and narrative only. Core outputs are not AI-generated.

Total cost of ownership

Platform Sprawl

One platform, one contract, one onboarding. Everything included.

Full coverage needs DAS + SQM + Sherlock. Three separate products.

Finspectors

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

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

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

No risk engine. No quality management. Enters at execution, stops at execution.

Finspectors

Trullion

Upstream Capability

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

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

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.

Fieldguide

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.

Inflow

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.

CaseWare

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.

Datasnipper

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

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

"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

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

"Finspectors has completely transformed how our team manages tasks. The platform has made our workflow seamless and boosted overall productivity."

‍

John Mathews

Project Manager

"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

"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

"The evidence automation capability stands out. This tackles a real and pressing problem in the audit space."

‍

Yang Yan

Corporate Finance Lead

Deliver Faster, Sharper Defensible Audits

Audit teams are drowning in work that

shouldn't require their expertise.

One Platform.

The complete audit.

Use it end-to-end, or bolt it onto

what you already have

01

Planning

02

Request Management

03

Risk & Analytics

04

Substantive Testing

05

Financial Statement

01

Process Walkthrough

02

Transformation proposal

03

Phased implementation

04

Testing and feedback

05

Rollout

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

Professional & context driven agents

to run your audits

What sets

Finspectors Apart

Connect your systems.

Skip the manual export.

Estimated

Finspectors ROI

Estimated Output

Annual Profit Impact

Potential Revenue Capacity

Additional Margin

Engagements

Additional Capacity

Engagements

Net Profit Incremental

per engagement

What changes when your team

stops doing the heavy lifting

What users are saying

about us

Insights to help you

Audit Better

Deliver Faster, Sharper
Defensible Audits