Digital Utility Processes: How Service Workflows Lower Processing Times by 60%

A customer reports a move or a meter replacement: the request is simple. Yet it often moves through several systems before it is completed. This friction is exactly what makes standard cases expensive.

For decision-makers in utility companies, digitising customer workflows is a key lever for efficiency, cost control and customer satisfaction. Standardised, recurring processes in particular offer especially high potential for automation.

*Based on standard cases without special review, such as moves, tariff changes or meter replacements, and measured using median values.

Digital Processes in Utility Companies

According to the German energy industry association BDEW and its Digital@EVU study, utility companies in Germany still face a structural digitalisation gap in customer-related processes. Requests such as service orders or contract changes are still often handled manually, on paper or across disconnected media.

This discrepancy between internal processes and external expectations creates considerable pressure for transformation.

Digital customer and service workflows address exactly this gap:

• Utility companies can achieve significant efficiency gains through consistent process digitalisation, especially when customer requests arrive in a structured, complete and media-break-free format.
• Self-service-enabled service journeys reduce follow-up questions, accelerate processing times and lower manual rework.
• For customers, this means shorter response times, greater transparency and a significantly improved service experience.

Starting Point: Manual Service Workflows in Utility Companies

In many utility companies, customer-facing service and order processes have evolved over time and are highly fragmented. Customers submit requests via forms, email or telephone, while processing continues manually across different departments.

Processes are often neither documented end to end nor standardised. For customers, this means a lack of transparency, long waiting times and repeated follow-up questions despite relatively simple requests.

Typical Weaknesses of Manual Utility Workflows

• Multiple intake channels without standardisation
• High manual data-entry effort
• Frequent follow-up questions to customers

For utility decision-makers, the need for action is clear. The current situation is not only inefficient, but also scales poorly as request volumes increase.

When Digital Intake Meets Analogue Processing

Typical Anti-Pattern in Utility Service Processes

Problem: Customer requests may be received digitally, but they are still distributed manually internally.
Cause: A lack of end-to-end workflow logic and no binding process orchestration across departments.
Consequence: High follow-up rates, long processing times and documentation that can only be reconstructed for audits with considerable additional effort.

Goals of Process Digitalisation

Digitising service workflows enables utility companies to process recurring customer requests quickly and consistently. Automated processes, plausibility checks and structured self-service journeys can significantly reduce processing times.

Goals of Process Digitalisation

• Increasing Efficiency
  and reducing manual work
• Increasing Customer Satisfaction
  and service quality
• Standardisation and Transparency
  across all process steps

Implementation: Digital Service Workflows in Utilities

Implementing a digital service workflow begins with a detailed assessment of the existing manual or partially digital processes. Each step is analysed and evaluated for automation potential.

Step-by-Step Implementation:

• Workflow automation controls tasks, decisions and handovers between specialist departments, while integrated document workflows ensure the structured submission and audit-proof storage of all information relevant to the request.
• Digital customer journeys create consistent, scalable processes. Self-service requests allow organisations to adapt quickly to rising request volumes without additional staffing resources.

Guided Digital Workflows Reduce Staff Workload and Delight Customers

Digital service workflows reduce routine tasks that previously had to be handled manually, such as reviewing customer enquiries, forwarding documents or manually entering request data. This gives employees more time for complex tasks that require specialist expertise, while significantly reducing error rates.

From 5 Days to 48 Hours: How Digital Workflows Accelerate Processes

Practical examples from Paperfly show how operational processes can be accelerated and costs reduced. Digital workflows provide clear metrics for quantifying efficiency gains: processing times, error rates, turnaround times and customer satisfaction can all be measured directly.

Comparison Table: Digital vs. Manual Processes

Measurement framework: Period: 4-6 months · Population: recurring service requests with clearly defined start and end points · Method: time and cost comparison per request before and after digitalisation · Data sources: workflow logs, cost accounting, CRM · Reporting: median + P90 + cost per request

Compliance and Audit Security in Digital Utility Service Workflows

Standardised processes not only help ensure reliable compliance with legal requirements, but also allow internal audits to be conducted faster and with less staff effort. They also enable early warnings when documents are missing or incomplete, further increasing process reliability.

SaaS solutions such as Paperfly combine workflow automation, document workflows and audit trails so that tasks are documented automatically and changes remain traceable.

Another advantage: Self-service requests are captured in a standardised way, allowing customers to submit requests quickly and easily while the company retains complete traceability across every step.

Practical Example: Digitising the Customer Service Journey at a Regional Utility

Before: Paper-Based, Slow and Error-Prone
At a mid-sized utility in southern Germany, customers requesting a meter replacement or an address change, for example after moving home, previously had to submit forms by post or place the request by phone. Service staff entered the data manually into different systems, reviewed documents individually and updated status information by email.

This led to several problems:

• Processing times of up to 5 days
• High error rate of around 8% due to manual data entry
• High communication effort for follow-up questions

After: Digital, Automated and Self-Service-Friendly
With the introduction of a digital self-service journey supported by Paperfly, customers could submit requests directly. A personalised self-service link guides the customer through a structured workflow in which selection, decision and confirmation take place within one end-to-end process.

The system automates task allocation, checks entries for plausibility and stores all documents in an audit-proof manner.

The results were measurable:

• Processing time fell from 5 to 2 days (-60%)
• Error rate fell from 8% to 2% (-75%)
• Cost per request fell from €50 to €20 (-60%)
• Customer satisfaction increased from 72% to 91% (+19%)

Lessons Learned
Utility employees reported that they were able to shift their focus to more complex tasks and customer advisory work, while self-service requests were processed fully automatically.

Measurement framework: Period: 6 months · Population: customer requests at a regional utility (meter replacements, tariff changes) · Method: before/after matching by request type · Data sources: Paperfly workflow logs, CRM, cost centre accounting · Reporting: processing time, error rate, cost per request, customer satisfaction. Note on measurement logic: standard cases such as moves, tariff changes and meter replacements with clearly defined start and end points were evaluated.

Intelligent Processes: How AI Reduces Errors and Accelerates Workflows

In utilities, standard tasks such as request assignment, data validation and notifications are increasingly automated. Intelligent plausibility checks detect incorrect entries in real time, reducing the need for follow-up questions.

AI and Modern Automation

Summary & Recommendations

The introduction of digital self-service workflows in utility companies has delivered significant improvements in efficiency, processing time and error reduction. Before digitalisation, processes were paper-based, error-prone and time-consuming.

After implementing digital workflows, processing times were reduced by up to 60%, error rates fell by up to 75% and costs per request were significantly reduced. Customer satisfaction increased measurably.

Strategic Recommendations

For utility decision-makers, the conclusion is clear: digital self-service workflows are not only operationally beneficial, but strategically relevant. Companies should take a step-by-step approach by identifying pilot processes and scaling them systematically.

FAQ: Frequently Asked Questions About Digital Utility Processes

How much time can be saved through workflow digitalisation?

Digital self-service workflows in utility companies reduce processing times by up to 60%. Automated task allocation, plausibility checks and structured self-service journeys ensure that requests are processed faster, follow-up questions are minimised and manual effort is significantly reduced.

Which KPIs are useful for measuring success?

KPIs such as processing time, error rate, ROI and customer satisfaction are suitable for measuring the efficiency of digital utility processes. Continuous monitoring makes it possible to derive process improvements, identify optimisation potential and transparently quantify the effects of workflow automation.

Can the digital workflow be adapted flexibly?

Modular SaaS solutions such as Paperfly allow rapid adjustments to changed processes, new request types or regulatory requirements. Workflows can be configured dynamically, tasks distributed automatically and interfaces updated without requiring customers to use additional tools or logins.

Is digitising utility service processes economically worthwhile?

Before-and-after analyses show that processing times, error rates and costs per request can be reduced significantly. The economic impact comes primarily from lower manual effort, fewer follow-up questions and better scalability as volumes increase.

Mini Glossary: Key Terms for Digital Utility Processes

Digital service journey = A guided, structured self-service journey through which customers can submit requests such as registrations, deregistrations or service enquiries digitally. The aim is complete data capture, low error rates and fast downstream processing.

Service workflow = A defined sequence of tasks, roles and decisions for handling a customer request. In digital utility workflows, orchestration is automated and system-driven instead of being handled manually by email or paper.

Workflow automation = Automatic orchestration of tasks, responsibilities and status changes throughout a process. In a utility context, this is particularly relevant for recurring service and request processes.

Audit trail / audit log = Complete, audit-proof logging of all process steps, changes and timestamps. A key requirement for compliance, internal controls and external audits.

ROI (Return on Investment) = Economic benefit of process digitalisation, measured, among other things, through reduced processing times, lower cost per request, lower error rates and higher customer satisfaction.

KPI monitoring = Continuous measurement of key metrics such as turnaround time, error rate, cost per request or customer satisfaction to manage and optimise digital processes.

Paperfly = SaaS platform for digitising business and service processes, including workflow automation, document workflows, audit logs and self-service service journeys.

BDEW = Bundesverband der Energie- und Wasserwirtschaft

CRM = Customer-Relationship-Management-System

Relevant Roles:

Service department: benefits from shorter turnaround times 

Compliance / Internal Audit: reviews audit trails and traceability 

Management / Controlling: evaluates cost per request and ROI

Sources: http://www.bdew.de/service/publikationen/digitalevu-wie-steht-es-um-die-digitale-und-gruene-transformation-der-energiewirtschaft/