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FUNCTION 01 · FINANCE

The finance function, run on governed AI.

FP&A, treasury, cash, close, consolidation, intercompany, revenue recognition, leases, spend and board reporting. The AI drafts, computes and reconciles at machine speed. Your CFO, controller and treasurer still sign every number that leaves the function.

FINANCE DATA FLOW ERP + CRM + BANK FEEDS
INGEST

Source data

ERP · CRM · HR · bank feeds

NORMALISE
G1

Compute & draft

forecasts · journals · schedules

CHECK
G2

Domain review

FP&A / treasury / controller

APPROVE
G3

Sign-off

CFO · controller · treasurer

LOG
G4

Audit log

immutable · retained

ANALYSING INPUT…
STATUS: PROCESSINGSOURCE: VERIFIED
STATUS / IN PROGRESS
WHAT AI CHANGES

Ten finance problems, one governed model.

Each card states the problem, what the AI does, the measurable outcome, and where the human signs. Benchmarks marked with a source are independent surveys and studies or, where noted, vendor-reported figures.

01

FP&A and forecasting

ProblemSpreadsheet forecasts are slow, stale and impossible to explain.

AI doesConsolidates ERP, CRM and HR data; builds driver-based forecasts; writes the variance commentary.

30–50% bettershort-term forecast accuracy vs manual methods
HUMAN SIGN-OFFFP&A lead
SOURCE: MCKINSEY
02

Treasury and liquidity

ProblemIdle cash across entities and banks nobody can see in one place.

AI doesBuilds a single global cash view and recommends liquidity deployment.

20% freedof idle cash in a published treasury deployment
HUMAN SIGN-OFFTreasurer
SOURCE: ACCENTURE / SAP CASE STUDY
03

Cash forecasting

Problem13-week forecasts miss; 59% of teams blame data quality, not tools.

AI doesLearns AR/AP payment behaviour and bank feeds; forecasts by entity and currency.

88–92% accuracyat 13 weeks vs 60% manual
HUMAN SIGN-OFFTreasury (weekly)
SOURCE: AFP 2025 TREASURY BENCHMARKING
04

Financial close

ProblemA close that takes weeks and depends on a few people.

AI doesRuns reconciliations, drafts accruals and journals, orchestrates the checklist.

3 days fasterclose; up to 80% less manual work
HUMAN SIGN-OFFController
SOURCE: BLACKLINE (VENDOR)
05

Consolidation

ProblemMulti-entity, multi-currency roll-ups held together by spreadsheets.

AI doesReal-time consolidation, eliminations and FX translation with a traceable trail.

Half the timeto close, without adding headcount
HUMAN SIGN-OFFGroup controller
SOURCE: CUSTOMER-REPORTED (VENDOR)
06

Intercompany

ProblemMismatched intercompany balances discovered at period end.

AI doesMatches, nets and proposes settlement across entities continuously.

~80% automatedmatching
HUMAN SIGN-OFFEntity controllers
SOURCE: VENDOR-REPORTED
07

Revenue recognition

ProblemContract terms buried in PDFs; IFRS 15 / ASC 606 applied by hand.

AI doesReads contracts, identifies obligations, allocates revenue, flags modifications.

Audit-readyschedules with source links; leakage exposure reduced
HUMAN SIGN-OFFRevenue accountant
SOURCE: INDUSTRY STUDIES
08

Lease accounting

ProblemIFRS 16 / ASC 842 abstraction takes hours per lease.

AI doesExtracts lease terms, builds schedules, drafts disclosures.

Minutes not hourson abstraction, per lease
HUMAN SIGN-OFFAccountant
SOURCE: CUSTOMER-REPORTED (VENDOR)
09

Spend and procurement

ProblemUncontrolled spend; anomalies found after payment.

AI doesCodes, routes and approves within policy; flags outliers before they post.

65% touchlessAP in agentic deployments
HUMAN SIGN-OFFApprover above threshold
SOURCE: VENDOR-REPORTED
10

Board and management reporting

ProblemDecks assembled by hand, commentary written the night before.

AI doesGenerates reports and narrative from the close; versions every number to its source.

50% lessreporting time in a published deployment
HUMAN SIGN-OFFCFO
SOURCE: VENDOR CASE STUDY

SOURCES: MCKINSEY · AFP 2025 TREASURY BENCHMARKING & CASH FORECASTING SURVEYS · FORRESTER TEI OF ONESOURCE (NOV 2025) · GOOGLE CLOUD / HSBC (2023) · DELOITTE, GARTNER, MCKINSEY 2025 SURVEYS · VENDOR-REPORTED FIGURES MARKED ACCORDINGLY.

AI INSIGHT STUDIO

Tell us your problems. See what AI would change.

Describe what slows your finance team down - in your own words. The Studio maps it to our 30-case use-case framework and shows the possible solutions, projected outcomes, and where a professional signs. Directional, not a quote.

Open the AI Insight Studio →
ANALYSING INPUT…MAPPING USE CASES…
OPPORTUNITY 01

Financial close

AI does

Runs reconciliations, drafts journals, orchestrates the checklist

Outcome

Close cycle time cut materially

30–60%faster close cycle
HUMAN SIGN-OFFController
WHY GOVERNED, NOT AUTOMATED

Finance can't ship a number nobody owns.

A forecast that can't explain its own drivers doesn't survive a board meeting. A close that runs on an ungoverned model doesn't survive an audit. Every finance deliverable Accomply touches carries the same four-gate discipline: automated validation against source, review by a finance professional, sign-off by the named owner of that number, and an immutable log of how it was produced.

That is what lets a CFO stand behind an AI-assisted forecast the same way they'd stand behind one built by hand - because in the way that matters, they built it. The AI did the arithmetic.

  • Any ERP. SAP, Oracle, NetSuite, Dynamics, Sage, Workday, Xero, QuickBooks - Accomply reads and writes to what you already run.
  • Any jurisdiction. Problems are framed by function - close, treasury, reporting - not by border.
  • No training on your data. Your ledgers do your work, never a model's.
  • Every number sourced. If the AI can't point to the document or transaction behind a figure, it doesn't produce the figure.
NEXT STEP

See it on your own close.

Thirty minutes. We show the governed model against one of your live finance use cases.