AI opportunities

AI type
LLM verdict
Training data needed
Pilot effort
Layer
Pilot priority

51 pages

Predicting the expected range for a recurring accrual from history, and flagging a proposed entry that falls outside it.
Gathering the inputs for a recurring accrual — prior period entry, current activity, relevant schedule — computing the amount, drafting the entry with…
Given an exception and a set of tools, deciding autonomously which checks to run in what order — prior resolutions for this account, manager notes, anomaly…
Autonomously drafting a reconciliation: retrieving both balances, rolling up open exceptions as reconciling items, testing whether they fully explain the gap,…
Generating a response to an auditor query from the underlying evidence, with the supporting records cited.
Detecting that the same manual resolution keeps recurring, and proposing a new rule that would auto-match that pattern in future — reducing the…
Proposing the field mapping for a new or changed source file by inspecting its structure and sample values, rather than requiring a person to configure the…
Flagging accounts whose balance is unusual against their own history — an unexpected jump, an unexpected zero, a wrong sign — including accounts that tie out…
Producing a plain-language account of why the two sides differ and what the likely cause is, given both entries, the applicable rate and prior resolutions for…
Summarising where the close stands, what is at risk and what changed since yesterday, written for a controller or CFO rather than presented as a dashboard.
Determining whether each control has a description, an owner, a test procedure and evidence — and whether what is there is substantively complete rather than…
Determining which chain of dependent tasks fixes the close date and which tasks have slack, so attention goes where delay actually costs something.
Drafting the query to the counterparty entity, summarising the disagreement, and translating where the two teams work in different languages.
Flagging tasks likely to run late before they do, based on the owner's current load, the task's own history and upstream status.
Reading receipts, scanned deposit slips, handwritten cash-count sheets and PDF invoices directly, extracting structured fields, and loading them as source data…
Drafting or reformatting control documentation to the conventions a specific framework expects, and flagging where existing documentation falls short of them.
Catching the same entry being posted twice — a common and consequential error that balance checks do not catch, since a duplicate is internally valid.
Replacing a static, manually-set risk classification with one learned from which accounts actually produced errors, adjustments and audit findings.
Learning the normal variance distribution per account, vendor or transaction type from historically confirmed matches, and setting tolerance from it rather…
Reading a vendor invoice or contract and drafting the corresponding entry — accounts, amounts, narrative — with the document attached as its evidence.
Flagging entries whose written justification is inadequate before they reach an approver or an auditor.
Presenting a control assertion together with its attached evidence and the underlying transaction records that generated it, with the reasoning for why they…
Ranking exceptions by how unusual they are rather than presenting a flat queue, so investigators start with the ones most likely to be genuine problems rather…
Suggesting the likely category of an exception — timing, fee, duplicate, missing entry, shortage, chargeback — so the investigator starts from a hypothesis…
Predicting how many exceptions of what kind will arise in a given period, so investigation capacity can be staffed rather than reacted to.
Judging whether a preparer's written justification is substantively adequate — distinguishing 'misc difference, will resolve' from a properly evidenced…
Matching records whose descriptions or references differ in spelling, abbreviation or formatting but denote the same counterparty or event, where exact-match…
Computing the difference the exchange rate should produce, then applying tolerance only to what remains — so genuine breaks are not masked by FX and FX is not…
Reading the transfer pricing agreement or service contract and checking whether the amount actually booked matches the agreed terms.
Predicting which entity pairs are likely to break in the coming period, so the investigation starts before period end rather than after.
Pairing a receivable in one entity with the corresponding payable in another when the two sides describe the same transaction differently, in different systems…
Flagging entries that are unusual in amount, account combination, posting time, or preparer relative to that account's history.
Recognising that certain conditions consistently produce certain entries and pre-populating the entry, so the preparer confirms rather than composes.
Drafting the reviewer-facing explanation of why a balance moved, given the detected movement and its candidate drivers, so the reviewer starts from a draft…
Answering questions about certification status, aging and ownership across entities without a pre-built report — 'which entities have not certified their…
Answering freely-phrased questions about matching and exception data by generating the query, running it, and synthesising the result in plain language.
Reducing a network of bilateral intercompany balances to the smallest set of settlement payments.
Evaluating balance movement across periods, entities, currencies and hierarchies to identify material changes and unusual fluctuations before final reporting.
Reading control documentation as an auditor would and flagging weaknesses before the external auditor finds them.
Predicting how many and which accounts will require manual preparation in the coming close, so staffing and deadlines can be planned rather than discovered.
Extracting meaning from free text that accompanies an exception — a vendor email explaining a short payment, a store manager's note about a till discrepancy —…
Suggesting whether a newly identified item is timing, error or unsupported, from its attributes and historical patterns.
Predicting which open items will clear on their own and which will need intervention, so effort goes to the ones that will not resolve themselves.
Reading newly issued regulations and standards and flagging which existing controls may need to change.
Scoring each entry's risk and routing accordingly: low-risk entries to a single approver or auto-approval, high-risk to multi-level review.
Selecting which items to test based on risk rather than at random, concentrating testing effort where failure is most likely or most consequential.
Reading an amortisation or accrual schedule alongside the underlying contract and reasoning about whether the computed balance is right — the correct period,…
Reading the attached document and checking whether it actually supports the balance claimed — does the closing balance on this bank statement match the…
Learning how long each close task actually takes, so the calendar reflects reality rather than aspiration.
Grouping structurally similar accounts across entities to reveal redundant templates and propose consolidation.
Predicting per-person load across the close calendar and flagging over-allocation before the period starts.