Document inbox
Identifies entity, period and evidence type, detects duplicates and requests missing fields.
OCR, table extraction and duplicate detectionSupervised accounting automation
AI for accounting and tax advisory firmsOrganised evidence and visible exceptions before every close
Workflows that can prepare data, detect inconsistencies and prioritise review without replacing accounting or tax judgement.
INDUSTRY CONTEXT
Where AI can add value in accounting and tax advisory firms.
Advisory firms receive invoices, statements, payroll records and evidence in many formats and at uneven times. Automation can normalise that intake, propose postings and show what is missing before the team begins a close.
The useful distinction is between routine transactions and exceptions, with evidence retained for every value. Tax classification, submissions and interpretative positions remain subject to professional validation and client authorisation.
POSSIBLE APPLICATIONS
What can be built technically.
Each application should be validated against the process, available data and the organisation's actual risk.
Posting preparation
Proposes accounts, tax codes and cost centres under firm rules for technician confirmation.
Supervised classification and rules engineAssisted reconciliation
Suggests links between bank entries, invoices and ledger records, isolating differences for investigation.
Record linkage, tolerance rules and confidence scoringFile control
Summarises received, outstanding and rejected evidence by client and obligation.
Process orchestration and operational dashboardsEvidence-backed queries
Searches current internal guidance and procedures, returning the source and last update date.
RAG with temporal metadata and access controlAnomaly review
Prioritises unusual values, suppliers or patterns for checking without labelling them as fraud.
Statistical anomaly detection and explanationsTECHNICAL WORKFLOW
From raw document to reviewable proposal
Every automation retains the evidence and routes exceptions to the team.
- 01
Capture
Receive files and validate entity, period, legibility and duplication.
- 02
Normalise
Extract fields into a common schema and apply client-configured rules.
- 03
Reconcile
Propose matches and separate items without sufficient evidence.
- 04
Approve
Review proposals and record who authorises the posting, close or submission.
INTEGRATIONS
Work with the existing operation.
The architecture adapts to each provider's APIs, permissions and limits. These are common tools and categories that would need validation.
- A3
- Sage
- Holded
- Microsoft 365
- Google Workspace
- Dropbox
- Power BI
CONTROL
Automate without losing accountability.
- Strict client data separation and role-based permissions.
- Confidence thresholds that route doubtful fields to review rather than filling gaps.
- Human approval for postings, returns, payroll and tax positions.
FIRST PILOT
A small scope that can be measured.
A pilot could cover purchase invoices for a small client group during a closed period. Extraction and proposals would be compared with the normal process, recording corrections, duplicates and preparation time; nothing would be posted or filed without approval from the assigned technician.
Questions about AI for accounting and tax advisory firms
What can AI automate in accounting and tax advisory firms?
A sensible starting point is repetitive, verifiable work such as document inbox, posting preparation, assisted reconciliation. Scope depends on available data, current tools and required controls.
Do existing systems need to be replaced?
Not necessarily. A pilot can connect to systems such as A3, Sage, Holded, Microsoft 365 and initially be limited to reading, preparing or proposing actions before automatic writes are allowed.
How is human oversight maintained?
Strict client data separation and role-based permissions. Confidence thresholds that route doubtful fields to review rather than filling gaps. Human approval for postings, returns, payroll and tax positions.
How is the first pilot approached?
A pilot could cover purchase invoices for a small client group during a closed period. Extraction and proposals would be compared with the normal process, recording corrections, duplicates and preparation time; nothing would be posted or filed without approval from the assigned technician.