Business area digitalisation analysis

Accounting, audit and finance services: digitalisation opportunities

How to better manage client documents, accounting transactions, period close, audit, reports, deadlines and service profitability

Digital maturity

Typical digital maturity

Shows the level of technological and process digitalisation at which companies in the sector or business area typically operate today.

A typical market situation is assessed, not the most advanced companies.

The assessment consists of five equally weighted dimensions:

Core system usage
Whether ERP, CRM, WMS, MES, customer portals or other operationally important systems are widespread in companies.
Process digitalisation
How many core processes run in systems and how many are still managed manually.
Systems integration
Whether core systems exchange data between themselves or whether employees transfer information manually.
Data quality and readiness
Whether core data is structured, up-to-date, consistent and suitable for automation and analytics.
Advanced data use
Whether real-time analytics, forecasting, automated alerts, optimisation models or AI are used.

The final score is the average of the five dimensions.

1–5 scale

  • 1 very low maturity
  • 2 low maturity
  • 3 medium maturity
  • 4 high maturity
  • 5 very high maturity

A low maturity score does not necessarily indicate low potential. On the contrary, low maturity and a high level of manual work may indicate significant untapped digitalisation value.

medium
Skaitmenizacijos potencialas

Digitalisation potential

Shows how much significant business value a typical sector or business area company can create by systematically digitalising core processes.

The rating is calculated on a 100-point scale across five dimensions:

Process frequency and scale 20 %
An assessment of how frequently the digitalised processes recur and what proportion of operations they represent.
Manual work intensity 20 %
An assessment of the extent to which processes depend on email, telephone, Excel, paper documents and repeated data entry.
Impact on revenue and costs 25 %
An assessment of the potential effect on sales, margin, customer retention, administrative costs, errors, downtime or inventory.
Growth and scale potential 20 %
An assessment of whether digitalisation would enable operational capacity to be increased without expanding headcount and costs at the same rate.
Impact on decisions and risk 15 %
An assessment of the potential effect on data reliability, decision-making speed, customer experience, and the reduction of errors and operational risk.

The final score is calculated according to the assessments and weights of all dimensions.

100-point scale

  • 0–20 very low potential
  • 21–40 low potential
  • 41–60 moderate potential
  • 61–80 high potential
  • 81–100 very high potential

A high score does not mean the solution will be easy to implement. It indicates the size of the potential value, not the implementation complexity.

96/100
Biggest challenge
Accounting operations and document data are rewritten manually
Biggest opportunity
Consistent process from client document to approved report

The greatest result is created not by a standalone document scanning tool, but by a fully managed process in which automation reduces routine tasks, whilst professional judgement and accountability remain with the specialist.

How accounting, audit and financial services work

The business area encompasses services of varying nature, but they are linked by document receipt, transaction recording, reconciliation, period closing, report preparation and audit procedures. Value is created through competence, reliable data, consistent execution, quality control and a clear deliverable to the client.

A large part of the work consists of structured information

Documents and transactions are repetitive, but have many exceptions, so automation must combine rules and specialist review.

Deadlines and approvals are critical

A delayed document, reconciliation or declaration can affect reports, taxes and client decisions.

Service quality depends on data provenance

Every entry and conclusion must be linked to a reliable document, rule, approval and audit history.

Client processes are highly varied

Document sources, charts of accounts, system maturity, approval rules and reporting needs differ.

Market and technology context

In accounting and audit services, basic document and data processing is rapidly being automated. Competitive value shifts to reliable control, rapid close, financial data commentary, professional judgement and the ability to provide decision-ready information to the client on time.

  • Growth of electronic documents and integrationsStructured invoices and integrations between banking and accounting systems reduce the need for manual data entry.
  • Client expectation to see status and outcomeClients expect clear visibility of missing documents, closing progress, deadlines and key financial KPIs.
  • Labour shortages and pricing pressureService firms need to handle greater volumes without converting growth directly into headcount increases.
  • Direction towards continuous controlsData validation is increasingly performed during the process rather than only at month-end or audit completion.
  • Need for AI usage governanceDocument analysis and commentary preparation accelerates, but rules for sources, access, verification and accountability are required.

Typical operating process

01

Client and service scope definition

Processes, systems, deadlines, risks, responsibilities and service boundaries are assessed.

02

Data and document receipt

The client submits documents, transactions, explanations and other information required for the period.

03

Registration and automatic checks

Data is classified, transferred to accounting, checked against rules and exceptions are directed.

04

Reconciliations and closing

Accounts, balances, intercompany transactions, taxes and outstanding tasks are checked.

05

Quality review and reports

The responsible specialist confirms results, prepares reports and explains significant variances.

06

Audit, settlement and next period

Evidence is retained, service profitability is evaluated and further work is planned.

Digital maturity model

0

Manual and fragmented process

Documents, commentaries, close tasks and audit evidence are managed via email, files and staff memory.

1

Separate digital tools in use

An accounting system and separate document tools are used, but client communication and exceptions remain outside the core process.

2

Core stages digitalised

Document receipt, registration or audit stages are digitalised, but their statuses, approvals and deadlines are not yet linked.

3

Core service scenario integrated Typical current situation

A single document processing, close or audit scenario is managed from client submission to approved result and invoice.

4

Data-driven service

Core processes are integrated, and capacity, quality, deadlines and margin are managed according to continuously updated KPIs.

5

Predictive and securely automated operations Siektina

The system predicts exceptions, suggests control actions and automates low-risk tasks whilst maintaining human approval.

Key finding

Digitalisation potential in this business area is very high, as a large proportion of the work consists of repetitive processing of documents, transactions, reconciliations, controls and reports.

The most common problem is not the absence of an accounting system. Information before and after it still moves via email, files and manual approvals, so specialists become intermediaries between client documents, accounting entries, deadlines and audit evidence.

It is worth implementing the 'Digitalisation of a single document processing scenario' first. Only after confirming actual usage, quality control and economic benefit is it worth expanding the solution to other services, clients or more advanced AI scenarios.

Related digitalisation topics

Client self-service portalsDocument automationAccounting system integrationsProfessional services managementGoverned AI usage
Next step

An assessment of where the most specialist time is lost in the accounting or audit process

The analysis will review document receipt, transaction recording, reconciliations, closing, audit evidence, client communication and service profitability, and will help select one initial stage whose benefits can be clearly measured.