Business area digitalisation analysis

Cleaning, security and facilities servicing services: digitalisation opportunities

How to better manage site scope, employee schedules, actual service delivery, quality, incidents, agreed service level, consumables and contract 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.

85/100
Biggest challenge
Employee schedules and changes are managed in a fragmented manner
Biggest opportunity
A single reliable view of facility service from contract to actual work performed

The greatest result is created not just by registering worker attendance, but by the entire site service process, which clearly shows what needed to be done, what was actually completed, what the quality was and how it affected the contract outcome.

How cleaning, security and facilities services work

The business area encompasses different types of services, but they are linked by site scope definition, employee planning, shift execution, actual performance recording, quality inspection, incident management, reporting and billing. Value is created through competency, reliable data, consistent execution, quality control and clear results delivered to the client.

A large proportion of the service is performed by field workers

Solutions must be simple, mobile, multilingual and work in real site conditions.

Schedules change constantly

Absences, additional work, employee turnover and changes in client requirements demand rapid replanning.

Service quality must be proven

Employee presence alone does not show whether the agreed work has been performed properly and whether the incident has been resolved.

Low margin is sensitive to time and scope errors

Incorrect scheduling, additional unpaid work or delayed time confirmation can eliminate site profitability.

Market and technology context

In facilities management services, the impact of digitalisation is driven by the large scale of repetitive tasks and field workers. More advanced operating models shift from fixed schedules to service based on actual facility occupancy, incidents and measurable outcomes.

  • Worker shortage and high turnoverCompanies must plan replacements faster, onboard new employees more simply and reduce coordination effort.
  • Client expectation to have proof of serviceClients expect to see completed tasks, inspections, incidents, response time and fulfilment of agreed service levels.
  • Working time and pay controlActual presence, shift changes, overtime and invoices must be reconciled without manual data duplication.
  • Site sensor and occupancy dataMotion, footfall, waste, hygiene consumables or other signal data enable service planning based on actual demand.
  • Growing privacy and security requirementsPresence, location, video and incident data must be collected proportionately, securely and with clear justification.

Typical operating process

01

Site and contractual scope definition

Zones, tasks, frequencies, SLA, shift rules, employee competencies, resources and quality criteria are described.

02

Employee and shift planning

Schedules are created based on demand, competencies, working time limits, location and availability.

03

Shift start and task execution

The employee confirms arrival, receives tasks, instructions and site information, and records completion.

04

Quality inspection and incident management

The supervisor or responsible employee records the result, non-conformances, photographs, escalations and corrective actions.

05

Client communication and additional orders

The client sees the status, submits enquiries, approves additional work and receives reports.

06

Working time, invoice and site analysis

Actual hours, resources, additional work, agreed service level performance and quality are linked to the contract and financial results.

Digital maturity model

0

Manual and fragmented process

Schedules, work plans, reports and incidents are managed through paper, phone calls and managers' memory.

1

Separate digital tools in use

A scheduling or time management system is used, but facility tasks, quality and client information remain separate.

2

Core stages digitalised

Worker attendance or mobile reports are digitalised, but the entire shift and quality process is not yet integrated.

3

Core service scenario integrated Typical current situation

A single facility shift scenario is managed from contractual work plan through to attendance, proof of completion, inspection and client status.

4

Data-driven service Siektina

Facilities are managed according to KPIs for schedule stability, quality, incidents, resources, agreed service levels and margin.

5

Predictive and securely automated operations

The system forecasts demand and suggests schedules and adjustments, whilst maintaining proportionate worker oversight and human decision-making.

Key conclusion

The digitalisation potential of this business area is very high due to the large number of daily shifts, sites, workers, inspections and exceptions.

The most common problem is not simply the lack of a scheduling application. Contractual service scope, worker assignment, actual attendance, completed work, proof of quality, incidents and billing are often managed separately.

It is worth implementing the 'Single site shift and quality 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 IoT scenarios.

Related digitalisation topics

Field workforce management systemsWork schedule planningClient service level portalsQuality and incident managementFacility profitability analytics
Next step

An assessment of where the most labour hours and contract margin are lost in the facility management process

A review of facility scope, schedules, actual attendance, work completion, quality checks, incidents, agreed customer service levels, equipment and facility economics will be conducted to help select a first version where benefits can be clearly measured.