Accomply builds, implements and runs AI for finance, accounting and compliance teams - thirty problems we solve, one governance model, every output auditable, every sign-off human.
extract · match · compute · draft
schema · totals · confidence
domain professional vs source
CPA · CA · ACCA · tax agent
immutable · retained
Finance leaders are under pressure to deploy AI. The pilots stall on the same four things: data quality, trust in the output, an audit trail the auditor will accept, and the question nobody answers early enough - who signs? Accomply starts with governance, sequences use cases by compliance risk, and keeps a licensed professional in the loop on anything that gets filed. That is how finance functions join the minority that sees impact.
of CFOs expect AI to be extremely or very important to finance in 2026
DELOITTE CFO SIGNALS Q4 2025
of finance functions have adopted or plan to adopt AI
GARTNER, NOV 2025
report a high or very high impact from it
GARTNER, NOV 2025
of companies qualify as AI high performers
MCKINSEY STATE OF AI 2025
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. Cases marked illustrative are directional estimates, not benchmarked results.
ProblemSpreadsheet forecasts are slow, stale and impossible to explain.
AI doesConsolidates ERP, CRM and HR data; builds driver-based forecasts; writes the variance commentary.
ProblemIdle cash across entities and banks nobody can see in one place.
AI doesBuilds a single global cash view and recommends liquidity deployment.
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.
ProblemA close that takes weeks and depends on a few people.
AI doesRuns reconciliations, drafts accruals and journals, orchestrates the checklist.
ProblemMulti-entity, multi-currency roll-ups held together by spreadsheets.
AI doesReal-time consolidation, eliminations and FX translation with a traceable trail.
ProblemMismatched intercompany balances discovered at period end.
AI doesMatches, nets and proposes settlement across entities continuously.
ProblemContract terms buried in PDFs; IFRS 15 / ASC 606 applied by hand.
AI doesReads contracts, identifies obligations, allocates revenue, flags modifications.
ProblemIFRS 16 / ASC 842 abstraction takes hours per lease.
AI doesExtracts lease terms, builds schedules, drafts disclosures.
ProblemUncontrolled spend; anomalies found after payment.
AI doesCodes, routes and approves within policy; flags outliers before they post.
ProblemDecks assembled by hand, commentary written the night before.
AI doesGenerates reports and narrative from the close; versions every number to its source.
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.
ProblemInvoices arrive in every format; coding and three-way match eat days each cycle.
AI doesCaptures invoice data, matches PO / receipt / invoice, codes to the GL, flags exceptions.
ProblemIncoming payments sit unapplied; collections calls are manual and untargeted.
AI doesMatches remittances to open invoices, prioritises collections by risk, drafts dunning correspondence.
ProblemReconciliations are rebuilt from scratch in spreadsheets every period.
AI doesMatches bank lines to GL entries continuously, ages and explains open items, drafts the memo.
ProblemAsset registers drift from the GL; capitalise-vs-expense judgement is inconsistent.
AI doesReconciles the asset register to the GL, applies depreciation policy, flags judgement calls.
ProblemPayroll journals are rebuilt by hand each cycle across entities and cost centres.
AI doesMaps payroll output to the chart of accounts, builds and posts the journal, reconciles to register.
ProblemRecurring and accrual journals are drafted from memory and prior-period copies.
AI doesProposes standard and accrual journals from source data with supporting workpapers attached.
ProblemLocal statutory packs are rebuilt entity-by-entity under different GAAPs.
AI doesMaps the group ledger to local GAAP templates, drafts disclosures and the local pack.
ProblemStandard cost variances and inventory valuation are reconciled manually.
AI doesReconciles inventory sub-ledger to GL, analyses standard cost variances, drafts COGS commentary.
ProblemExpense reports are checked against policy manually, after the spend.
AI doesChecks receipts and claims against policy in real time, flags exceptions before reimbursement.
ProblemExternal audit fieldwork stalls waiting on prepared-by-client schedules.
AI doesAssembles PBC schedules and supporting evidence from the ledger; links every figure to its source.
OUTCOMES MARKED ILLUSTRATIVE ARE ACCOMPLY'S DIRECTIONAL ESTIMATES BASED ON ENGAGEMENT EXPERIENCE, NOT CITED BENCHMARKS.
ProblemMulti-jurisdiction VAT/GST rules change constantly; filings are built by hand.
AI doesApplies current jurisdiction rules to transactions, prepares returns, flags rate and rule changes.
ProblemTax provision workpapers are rebuilt from the GL every quarter under time pressure.
AI doesBuilds the provision from GL data, tracks permanent/temporary differences, drafts the tax note.
ProblemLocal files and benchmarking studies fall behind actual intercompany activity.
AI doesTracks intercompany transactions against policy, drafts local file updates and benchmarking gaps.
ProblemCustomer screening and periodic reviews are backlogged and inconsistent.
AI doesScreens customers and transactions against watchlists and typologies, ranks alerts by risk.
ProblemSanctions lists update frequently; screening coverage gaps go unnoticed.
AI doesScreens counterparties continuously against current sanctions and watchlists, resolves fuzzy matches.
ProblemControls testing is sampled manually and evidenced in spreadsheets.
AI doesTests controls across full populations, gathers evidence, flags exceptions and control gaps.
ProblemStatutory and regulatory returns are compiled by hand from multiple systems.
AI doesAssembles regulatory returns from source systems, validates against the filing schema, tracks deadlines.
ProblemESG data is scattered across systems and owners; disclosure prep is manual.
AI doesConsolidates ESG data from source systems, maps to the disclosure framework, flags gaps.
ProblemContractual obligations and covenants are tracked in spreadsheets, if at all.
AI doesExtracts obligations, covenants and renewal terms from contracts; tracks and alerts before breach.
ProblemIncident reports are logged inconsistently and investigations lack a clear trail.
AI doesStructures intake, routes cases by severity, drafts the investigation timeline and evidence log.
OUTCOMES MARKED ILLUSTRATIVE ARE ACCOMPLY'S DIRECTIONAL ESTIMATES BASED ON ENGAGEMENT EXPERIENCE, NOT CITED BENCHMARKS.
An operating system with five stages - assess, implement, build, run, assure - engaged separately or as a continuous programme.
Three weeks. Data readiness, use cases ranked by value and compliance risk, governance framework, 12-month roadmap.
We implement the right platform for each use case - close, AP, tax, AML, audit - and configure it under our governance model.
When no product fits: LLM agents built on your ERP and your rules, with evaluation harnesses and guardrails.
We run the process - close, filings, screening - with AI in the loop and our professionals signing.
Governance framework, model-risk register, control design, and an annual attestation of how AI is used in your numbers.
Nothing is filed, posted or released without a qualified professional's signature. The evidence travels with the deliverable into your audit file.
Schema checks, totals, cross-checks against source, confidence thresholds you control, hallucination tests on every output.
A finance, tax or compliance professional reviews the output against the source documents and the rule set.
A licensed professional - CPA, CA, ACCA or registered tax agent - certifies before any filing or release.
Prompts, sources, model versions, reviewers and timestamps logged immutably and retained to regulatory standard.
Your documents and ledgers are used to do your work, never to improve a model.
If the AI cannot point to the document, it does not give the answer.
Client-selectable hosting region.
ISO 27001; SOC 2 Type II programme; ISO 42001 AI management.
We map your finance function, score every use case on value and compliance risk, fix the data gaps, and agree the governance model your auditors will accept.
We implement a platform or build an agent for the first two use cases, wire in the four gates, and prove it on one live cycle with your professionals signing.
We run it as a managed service or hand it over with the playbook - either way with a named reviewer, a named signatory and a monthly quality report.
Your clients are asking for AI in finance and compliance. You do not have the engineers or the governance method to deliver it. We do - under your brand, with a qualified professional signing off, and never competing for your clients.
Describe what slows your finance, accounting or compliance 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 →Runs reconciliations, drafts journals, orchestrates the checklist
Close cycle time cut materially
Thirty minutes. We walk through the two or three use cases that matter most to you, show the governed model on a live example, and scope a fixed-fee readiness assessment if it fits. Enquiries are answered within one business day.