Transactions are checked against your own written rules, and exceptions go to a reviewer.
AI Compliance Analytics checks transactions and records against rules your business has written down, such as approval limits and required documents, and lists exceptions for review. It flags for a person. It never promises compliance. A qualified person, either on your team or at a firm you trust, reads every exception. The tool offers no tax, legal or money advice.
Rules live in many places. A policy document sets an approval limit, a contract names a payment term, and a checklist says which papers must be attached, yet the ledger checks none of this. Gaps show up at audit time. By then the invoice is a year old, the approver has moved on, and nobody in the office remembers why a signature is missing.
GullySystem sets this up by turning your written policies into checkable rules, with your finance lead, and your accountant or lawyer where the rule comes from outside the business. Rules that bind a bank may not bind a trader, and borders change it again. Every exception has an owner. The owner closes it with a note, and the closed item stays in the record for the auditor, lender or board who reviews the books next.
The problems this is meant to ease.
What AI compliance analytics does.
What this looks like in a working week.
The people who open this every day.
From first conversation to daily use.
List the rules you already have
Gather the policies, contracts and checklists that set limits, signatures and required papers, and write each as a rule two people would apply the same way. The finance lead owns the list.
Check the records behind the rules
Find where approvals, attachments and posting users are kept, and move anything that lives in email or paper into the system before any rule is switched on. Unrecorded facts cannot be checked.
Trial on a closed period
Apply the rules to a closed quarter of ledger entries and attached documents, and list every exception, with the entry, the rule and the missing item named. Real gaps stay on the list. Over-tight rules are loosened.
Validate the rules with your adviser
Take the outside rules to your accountant or lawyer, who confirm the wording, the limits and the dates before they are used. Reviewers then try a real report.
Go live with owners named
Switch on the weekly exception list. Each exception goes to one named owner, and anything left open beyond the limit you set triggers a reminder. The software files nothing.
Review the rules each period
Each quarter, the finance lead and the adviser read the repeated exceptions, the closed notes and any rule change together to decide what to change. Each edit keeps its date and reason.
How you would know it is working.
Record where you stand before it goes live, so the change is measured against your own figures.
- Exception review time counts the days between an exception first appearing on the list and its closing note. Similar gaps before go-live give the starting figure.
- Control coverage is the number of written policies that have a working check, compared with the list of policies the finance lead drew up in the discovery step.
- Documentation completeness is the share of sampled transactions that carry every required paper, such as approval, receipt and contract, set against a manual sample taken before go-live.
- Exception reopen count is how many closed exceptions returned because the note was weak, counted from the exception log and compared with the trial period.
- Audit evidence preparation time is the hours the finance team spends gathering papers for a review. The time logged against the last review sets the starting figure.
Where a person stays in charge.
Review support, not compliance
This is review and monitoring support. It lists exceptions against the rules you supplied, and compliance itself remains a duty of your business, judged by qualified people and never by a report from the software.
Experts validate rule changes
Rules from outside the business are written and changed only after your accountant or lawyer confirms them in writing, and the date is stored with the rule. A stale rule passes what should fail.
Document reading can misread
Document reading is not exact. A blurred scan, an unusual layout or a handwritten amount can be misread, so a person confirms any value that a rule depends on before an exception is closed.
Sensitive data stays restricted
Contracts and ledgers hold sensitive detail. Exceptions go only to their owners, access follows your roles, and your security adviser agrees where documents and extracted values are stored.
Rules differ by country
Compliance duties differ by country. A bank, a trader and a clinic each face different rules. Your own lawyer or accountant settles which ones apply to you. Advice on law, tax or money is not something this product gives.
It is one part of a system, not an island.
A module earns its place by what it passes to the next one. These are the connections we set up most often.
- Accounting ledger and approval workflow
- Document management
- Purchase order and payment screens
- User and role permissions
- Audit trail
Products that include it.
How we would put it in.
Questions owners ask about AI compliance analytics.
Can this software make my business compliant?
It supports review and monitoring only. Any policy that lives only in someone’s memory is invisible to it, so the quality of the checks follows the quality of the written list.
Whose rules does it follow?
It follows rules your business supplies. Outside rules on tax, labour, data or reporting differ by country, so each is written in with your accountant or lawyer, who say when the law has changed.
What does it need before it works?
Rules written clearly enough that two people would apply them the same way, and records where approvals and attachments are kept in the system, not in email. Without those, most flags will be noise.
Does it replace an audit?
An audit is done by qualified people. This only lists exceptions early and keeps the reasons, so the auditor or accountant starts with organised evidence, and it gives no assurance or opinion of its own.
What does it connect to?
It reads your ledger, approval records, payment screens and the folder where documents are kept, so the checks it can run depend on what each system stores.
Will it raise false alarms or miss things?
It can do both. Loosely written rules flag too much, and a gap that no rule covers goes unseen, so early months go on tuning rules.
Who sees the exceptions, and what about privacy?
Each exception reaches only its owner. Ledger entries and contracts can hold personal and commercial detail. Access follows the roles in your system. Your security adviser signs off on the storage location.
When is it not worth setting up?
A small business with a handful of transactions and one person who sees every approval can check its rules by hand, so writing them down for software adds little.
Businesses that ask for this.
Modules that work with it.
Tell us how you handle AI compliance analytics today.
A spreadsheet, a register or another system: say which, and we will tell you plainly what is worth changing.
- No obligation
- A reply within one business day
- Your details stay private
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