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Business area digitalisation analysis

Environmental and sustainability services: digitalisation opportunities

Connecting environmental and sustainability data, methodologies, evidence, client actions and reports into a single managed service chain.

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.

93/100
Biggest challenge
Client environment and sustainability data are collected from scratch each time
Biggest opportunity
Continuous environmental and sustainability data and transformation platform

Competitiveness will be determined by the ability to transform expertise into a continuous, traceable service that manages real client change.

Operating model for environmental and sustainability services

The business area encompasses environmental impact assessment, permit and monitoring management, laboratory testing, emissions accounting, sustainability strategies, reporting and transformation projects. Service quality depends on clear methodologies, reliable sources, traceable calculations and the ability to turn recommendations into concrete client actions.

Methodology is as important as the number itself

A KPI has no value without clear boundaries, coefficients, assumptions and sources.

High dependency on client and supplier data

Service quality is limited not only by consultant competence, but also by the reliability of external data.

A report must become an action

Targets and recommendations must be linked to projects, budgets, responsibilities and actual KPIs.

Market and technology context

The EU sustainability reporting framework continues to evolve and simplify through 2026, but the need to reliably manage material KPIs, value chain data, methodologies and evidence remains. Service value shifts from one-off reporting to continuous data and transformation management.

  • Data reliability remains more important than report scopeAs requirements evolve, clients still need clear KPI provenance and decision rationale.
  • Clients expect transformation, not just a documentService value is increasingly linked to actual projects, budgets and achieved impact.
  • AI accelerates document analysis but increases accountability requirementsAn automated draft must show sources, methodology limitations and expert validation.

Typical business process

01

Defining scope of application

The scope of the service, methodology, period, material topics and responsibilities are defined.

02

Collection of data and evidence

Information is obtained from client systems, divisions, suppliers, measurements and documents.

03

Quality control and calculations

Units, boundaries, coefficients, assumptions, non-conformities and sufficiency of evidence are verified.

04

Expert assessment

Impact, risks, opportunities, scenarios and technical alternatives are analysed.

05

Report and action plan

Findings are translated into objectives, responsible persons, deadlines and projects.

06

Continuous monitoring

KPIs, methodologies, actions and actual impact are updated periodically.

Digital maturity pathway

0

Project-based and manual data collection

New questionnaires are created for each project, data is collected in files, and methodologies and evidence remain in consultants' folders.

1

Standardised templates and separate tools

Common KPI templates, project and document systems are used, but client data, calculations and action plans are not interconnected.

2

Digital single-service process

For selected reporting or monitoring services, data requests, quality checks, calculations, evidence and approvals are managed in a single chain.

3

Data and methodologies for selected services are connected Typical current situation

In selected recurring services, data queries, evidence, methodologies, calculations, expert review and action plans are managed in a single chain, but the scope is not yet uniform across all clients and KPIs.

4

Continuously managed transformation Siektina

KPIs are updated periodically, deviations are automatically forwarded to responsible persons, and the consultant evaluates the real impact of actions.

5

Data and AI-enhanced expert service

AI assists in analysing documents, changes in requirements and data gaps, but all methodological decisions, sources and confirmations remain traceable.

Key finding

The digitalisation potential of environmental and sustainability services arises from repetitive, methodology-based work: data requests, calculations, evidence verification, requirements application and report preparation.

The greatest value does not come from generating a document more quickly, but from creating a continuous chain of client KPIs, methodologies, objectives and actions, where every statement has a visible source and expert validation.

Related digitalisation topics

Sustainability data and KPI managementDigitalisation of environmental monitoring processesManaged AI in professional services
Next step

Transform environmental and sustainability consultancy into a continuous data and change management service

An assessment should be made of which gap in the data, methodology or client action chain currently drives up service costs and reduces the reliability of results.

Discuss digitalisation direction