ForensiQ · Business and financial intelligence
See what your own numbers have been hiding.
Live trial. Your industry. No commitment.
Pick your industry, connect the systems you already run, and open a working ForensiQ workspace built from your kind of data: reconciled accounts, unbilled work, drifted margins, and the anomalies nobody has time to find by hand.
Unlimited platforms, one engine. It reads the accounting, practice and workshop systems each industry already runs - and any other system that exposes an API, database or export. Every figure in every preview is example data until your own records are connected.
- AI & machine learning driven
- Whole-year analysis, every line
- Your data stays in your systems
- ISO/IEC 27001 certified
Powered by AI & Machine Learning
Our own algorithm, wrapped in AI that explains itself
- Whole-year analysis, every transaction line - not a sample
- Anomaly scoring against your own history, not a generic benchmark
- Document reading and record matching across systems
- Plain-language explanations attached to every finding
- Forecasting and scenario modelling where history supports it
- Every figure traceable to its source record
- Human review on every finding, before it is reported
- Nothing migrated out of the systems you already run
Model choice and accuracy depend on the data available and the agreed scope. Outputs are reviewed by a person before reporting, and a finding is a lead to check - never a proven cause or a final conclusion.
Why ForensiQ
One engine. Your systems. Answers with the evidence attached.
ForensiQ is not another dashboard that stops at the picture. It reads the systems you already run, traces every figure back to the record it came from, and hands your team findings a person has already reviewed.
platforms, one engine
Whatever platform you run, our algorithm works with it
Our algorithm is not tied to one vendor. It is unlimited in the applications it can read - Xero, MYOB, Dynamics 365, EXACT, Dentally, Medtech, My Practice, OneLaw, Actionstep, MechanicDesk, SAM, iCOS and EROAD today, and any other system through an API, secure database access or scheduled export. If you can get the records out, ForensiQ can read them.
of lines analysed, not a sample
Whole-year analysis, every transaction line
Rule-based checks and machine-learning anomaly scoring run across the full period, so duplicate payments, split invoices, drifted rates, unbilled work and quiet leakage surface rather than hide in a sample.
figure to source record
Findings you can defend in a meeting
Open any number and the records behind it come with it: the calculation, the source system, the date. An answer that stands up to scrutiny instead of a chart nobody can explain.
reviewed before it reaches you
AI does the reading. A person makes the call.
Machine-learning models detect, classify and forecast; advanced reasoning models read documents and explain findings in plain language. Every finding is reviewed by a person before it is reported.
Capability and process, not promised results. Most systems can be read - how we connect and how much we can see depends on each platform's API or export options, data quality, access and scope, confirmed during the technical assessment.
Tell us the platforms you already run and we will tell you straight away what we can read from them.
Watch It Work
Eight scenes from your data to the insight
Unlimited applications, a dental practice read from EXACT, the same reading pointed at any business, and transport on iCOS and EROAD - then the analysis layer, the features we can add on top, and what you get. It plays like a short film - scrub the chapters or pause at any point.
Chapter 1 of 8: ForensiQ is an engine, not another dashboard
Chapter 1 · The engine
ForensiQ is an engine, not another dashboard
Click IT's own reconciliation, tracing and scoring engine - written, supported and run by the team you call.
- ForensiQ is an engine, not another dashboard - reconciliation, tracing and anomaly scoring, with an AI layer that explains what it finds.
- We write it, we support it, and we run it ourselves, for businesses across New Zealand.
- Nothing is migrated. The engine reads the records your systems already produce, and your data stays where it lives.
Chapters
An animated walk-through produced for the trial page. Everything shown is illustrative example data - not a client result - and every pattern is a lead to investigate, not a conclusion.
Auto-plays through eight narrated chapters as soon as it is on screen. The voice-over is generated per chapter, so each line is spoken as it appears. Use the controls to pause, jump chapters, replay, or turn the narration off. Browsers that block sound until you interact start the film silently - tap for sound. Visitors who prefer reduced motion get the same film with calmer movement.
Powered by AI & Machine Learning
Our own algorithm, wrapped in AI that can explain itself
ForensiQ is not a reporting skin. Click IT's own analytical algorithm does the reconciliation, tracing and scoring - and a layer of AI and machine-learning models sits on top of it, learning what normal looks like for your business and putting what it finds into language a board can act on.
How the AI layer works
Read
Read everything
Invoices, payments, journals, appointments, job cards and documents, pulled from your own systems and read line by line.
Detect
Detect what is unusual
Models learn your history, then score what deviates from it - duplicates, split invoices, drifted rates, unbilled work.
Explain
Explain it in plain language
Advanced reasoning models connect the records and describe the finding, its calculation and what to check next.
Click IT's own algorithm
Purpose-built financial logic that reconciles, traces and scores every line, tuned to the way New Zealand businesses actually operate.
Machine-learning models
Anomaly detection, classification and clustering that learn the patterns in your own history - so a genuinely unusual transaction stands out from a busy one.
Advanced reasoning models
The analysis layer draws on advanced large-language and reasoning models to read documents, match records and turn findings into language a board can act on.
Predictive and scenario models
Time-series forecasting and scenario modelling project cash, revenue and cost under different assumptions - with the uncertainty stated, not hidden.
Traceable by design
Every model output links back to the records that produced it, so you can audit a finding rather than take it on trust.
Human review at every step
AI speeds up the reading, matching and explaining. A person still reviews every finding before it reaches you - we never present a prediction as a certainty.
Model reasoning, honestly described
Model choice depends on the job and the data involved, and is agreed with you as part of the engagement. We describe what the models do, not a guarantee of what they will find.
Live Trials
Pick your industry. Walk through your own kind of data.
Each trial connects to the systems that industry already runs, then walks you through what ForensiQ finds in them - the reconciled position, the money that was never billed, the drift nobody caught. Accounting, dental, medical, legal, transport and automotive: six trials, one engine. Choose one to open its workspace.
Accounting
See what Xero and MYOB never show you
Reconcile the ledger, trace every unexplained entry, and find the payments and margin leaks that sit between the systems.
Trial data sources
Xero
MYOB
Microsoft Dynamics 365
What the trial walks you through
- A reconciled position pulled from the ledger, not retyped from a report.
- Duplicate and near-duplicate supplier payments, with the two records side by side.
- Unexplained and unreconciled entries ranked by value, not by date.
- Margin movement traced to the product lines and costs that caused it.
Example finding: three duplicate supplier payments across one month, and $8.4k of margin that moved without a matching price change.
Dental
Chair time, treatment plans and recall - reconciled
Follow every accepted treatment plan through to the appointment, and see the chair time, fee drift and recall gaps a busy practice cannot track.
Trial data sources
EXACT
Dentally
What the trial walks you through
- Treatment plans presented, accepted and completed - and the value that stalled between the steps.
- Chair utilisation, failed-to-attend and late cancellations by practitioner and by day.
- Recall and hygiene reappointment gaps, with patients overdue a recall.
- Fees, discounts and write-offs measured against the fee schedule, per clinician.
Example finding: 41 accepted plans above $800 with no completed appointment within 90 days - treatment the practice had already earned the right to deliver.
Medical
Consultations, enrolments and claims - to the visit record
Reconcile funded and private activity, co-payments and claims, and find consultations recorded in the system but never billed.
Trial data sources
Medtech
My Practice
What the trial walks you through
- Consultation and appointment volumes by clinician, session and location, with missed appointments.
- Enrolments, transfers, recalls and overdue screening follow-ups.
- Funded versus private activity, co-payments and claims reconciled to what was received.
- Consultations recorded in the system but never billed.
Example finding: 63 consultations billed against the wrong schedule over one quarter, reconciled back to the visit records.
Legal
WIP, disbursements and trust - across every matter
Age unbilled work in progress and disbursements, catch unapproved write-offs, and reconcile the client and trust ledgers.
Trial data sources
OneLaw
Actionstep
What the trial walks you through
- Work in progress and disbursements sitting unbilled, aged by fee-earner and client.
- Time recorded versus time written off, written down or discounted without approval.
- Matter and client profitability once staff cost and disbursements are applied.
- Trust and client ledger items that need reconciling or explaining.
Example finding: $12.4k of unbilled work in progress older than 60 days across four matters, with the time records attached.
Transport
Rates, fuel and every kilometre - against what you billed
Check fuel adjustment factors and agreed rates, match subcontractor invoices to dockets, and see the true cost of every run and unit.
Trial data sources
- Xero
- Transport Manager
- TransVirtual
What the trial walks you through
- Fuel Adjustment Factor applied on carrier and linehaul invoices, checked against the agreed rate.
- Cost per kilometre, per run and per vehicle against what was actually charged for it.
- Subcontractor invoices matched back to dockets, manifests and consignments.
- RUC, maintenance, tyres and driver hours weighed against revenue for each unit.
Example finding: FAF recovered on 96.3% of eligible linehaul invoices, with under-recovery concentrated in two lanes.
Automotive
Quoted hours, parts margin and labour nobody billed
Compare quoted with actual hours, check parts margin against cost, and recover labour and consumables that were done but never charged.
Trial data sources
- MechanicDesk
- SAM
What the trial walks you through
- Jobs over quoted hours, by technician and by job type.
- Parts billed below cost, or used and never billed at all.
- Labour and consumables completed but missing from the invoice.
- Repeat repairs and comebacks within 30 days of the original job.
Example finding: $14.7k of labour recorded against completed jobs with no matching invoice line.
Live trial workspace · Accounting
- Revenue (12 mo)
- $4.82m
- up 6.4% on prior year
- Gross margin
- 38.2%
- down 2.8 pts
- Unreconciled items
- 14
- flagged for follow-up
- Duplicate payments
- 3
- $8.4k across one month
Monthly revenue index
Ledger watchlist
- Duplicate supplier payments3
Same amount, same supplier, 48 hours apart
- Unexplained GL entries14
Journal lines with no supporting document attached
- Margin leak by product line2.8 pts
Cost creep in two lines with unchanged pricing
- Aged items to review22
Balances older than the agreed review cycle
Trial workspaces are illustrative and built from example data until your own records are connected. What we can read depends on each system's export or API options, data quality, access and scope - confirmed during the technical assessment.
Product names and marks belong to their respective owners and are shown to indicate potential integration points only. Their use does not imply partnership, sponsorship or endorsement.
Start With Your Own Numbers
Bring your systems. We will show you what ForensiQ finds.
A live trial connects to the systems your industry already runs and walks you through your own kind of data - what is reconciled, what was never billed, and what deserves a closer look. No data leaves your systems, and nothing is presented as certain until a person has reviewed it.
No data migration. No lock-in. A written quote before any work starts.
What a trial covers
- A walk-through of the workspace for your industry
- The systems we can read, and how we connect to them
- What a review would cover, and how long it takes
- A written quote before any work starts
Every review includes
- A clear business-position summary
- Financial reporting with supporting calculations
- A prioritised list of gaps, risks and opportunities
- Relevant dashboards and performance indicators
- Practical recommendations and a review session
ForensiQ applies a forensic-style, evidence-led analytical approach. It is not a statutory audit or a certified fraud investigation, and findings are limited to the records, access and scope agreed for your review. Prefer to click through it yourself? run the interactive demo.