How to better manage projects, changes, construction site works, property handover, maintenance and tenant service
Construction and real estate business areas
Design, construction, development, leasing, administration and technical maintenance operating models differ, so their processes and digitalisation priorities are analysed separately.
Project information is fragmented across participants and systems
Teams work from different versions, solutions are duplicated, and the history of approvals and accountability is difficult to trace.
Biggest opportunity
Asset information management from project to operation
Connect project requirements, models, changes, actual works, quality evidence, defects, equipment data, warranties and maintenance history.
Recommended first step
Select one specific project or asset process
In a single project or asset, connect the statuses, responsibilities and evidence of a selected change, defect, completed work, handover or maintenance scenario.
The sector's digital maturity is determined not by the number of applications used, but by the ability to preserve and utilise reliable asset information in the next project or operational stage.
Complete sector analysis
The full digital sector analysis is presented below. A more detailed analysis tailored to the specific operating model is available on the business area pages.
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How this sector operates
The sector combines one-off construction projects with multi-year real estate management. Some companies focus on design or construction, others on development, leasing and maintenance, but all require clear linkage between property, space, document, work, cost and responsible party.
A property is used far longer than its project duration
Design and construction decisions affect energy, repair, maintenance and refurbishment costs for many years.
Many independent organisations participate in a single project
Clients, designers, contractors, subcontractors, suppliers and facility managers use different systems and are responsible for different parts of the information.
Each property has many exceptions
Location, design solutions, contracts, participants, risks and changes differ in every project.
Late changes cost a great deal
One design solution not agreed on time can affect procurement, works, schedule, budget and subsequent operation.
The digital record must correspond to the real asset
A model element, device, room, defect or maintenance task must be linked to a specific location and actual condition.
Many documents and evidences need to be preserved
Projects generate drawings, models, contracts, certificates, instructions, warranties and approval history.
Market and technology context
The sector is gradually transitioning from document-based project management to the use of structured information in designing, constructing and operating assets. BIM and CDE provide the foundation, but real value is created through their connection with actual work progress, project economics, asset maintenance, energy and tenant processes.
Increasing pressure on deadlines and budgetsProject overruns are forcing earlier detection of design conflicts, variations, delays and additional works.
Energy and sustainability requirementsAsset owners need reliable consumption, equipment, space and refurbishment data to reduce energy costs and justify investments.
Standardisation of information managementThe ISO 19650 direction reinforces the importance of clear information requirements, BIM processes and common data environments.
Tenant and resident self-service expectationsProperty users expect rapid fault resolution, clear status updates, transparent costs and convenient digital services.
More data from the construction siteMobile applications, drones, 360° imagery and sensors enable more frequent and accurate capture of actual work progress.
Expansion of digital twins and predictive maintenanceIn high-value assets, models, sensors and property management data are used to monitor condition, compare scenarios and plan maintenance.
Digital maturity model
0
Projects and assets managed by documents and email
Project and asset information held in directories, spreadsheets and separate applications.
1
Separate digital tools in use
BIM, project or asset management tools operate, but data between stages is transferred manually.
2
Core single-stage processes digitalised
Design, construction site or maintenance processes are managed more consistently, but the connection between stages remains weak.
3
Core project or asset management processes integrated within the organisation Typical current situation
Key project, work, quality, handover or maintenance processes are connected within one organisation, but information transfer between project participants and lifecycle stages is not yet seamless.
4
Design, construction and operational data connected Siektina
Spaces, equipment, documents, changes and works have uniform identifiers and a controlled handover process.
5
Asset management predicts condition and adapts
Digital models, sensors and AI help predict the condition, maintenance and investment needs of projects and buildings.
Key finding
The construction and real estate sector does not lack data. The problem is that it is fragmented by project stages, contractors and systems, so each subsequent team has to verify or recreate part of the information.
The design model does not always reflect what has actually been built, and upon handover the asset manager often receives a document archive rather than a reliable database of equipment, spaces, warranties and maintenance data.
It is worth first selecting one specific process – for example, change, defect, handover or maintenance work management – and connecting its data, statuses, responsibilities and evidence.
Related digitalisation topics
BIM and common data environmentConstruction project management systemDigitalisation of construction site processesAsset maintenance systemTenant self-service portalBuilding digital twinReal estate portfolio analytics
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Project information is fragmented across participants and systems
Critical
Models, drawings, specifications, contracts, questions and changes are kept in separate folders, emails or different platforms.
Consequences
Teams work from different versions, solutions are duplicated, and the history of approvals and accountability is difficult to trace.
Design solutions are not always updated according to what has been built
Critical
Changes carried out on site, materials used, devices installed and actual locations do not always make it into the models and final documentation.
Consequences
Actual asset information becomes unreliable, and the real condition has to be verified afresh during handover and maintenance.
The impact of changes on schedule and budget becomes apparent too late
Critical
Design questions, additional works, quantities, contractual terms and approvals are managed in separate processes.
Consequences
The risk of disputes, unplanned costs, delays and loss of project margin increases.
At handover, data prepared for operation is lacking
Critical
Document packages are handed over to the asset manager, but structured data on rooms, devices, warranties, maintenance and spare parts are not always provided.
Consequences
The operations team rebuilds the asset register from scratch, whilst warranties, instructions and maintenance requirements are underutilised.
Actual work progress is not visible with sufficient accuracy
High
Completed works, people, equipment, materials, inspections and obstacles are recorded at varying frequency and levels of detail.
Consequences
Delays are noticed too late, it is difficult to reliably forecast completion and identify real productivity issues.
Defects, inspections and warranty cases have no single history
High
Non-conformances are recorded with photographs, lists or separate systems, not always linking them to location, element, contractor and proof of rectification.
Consequences
Defects recur, handover takes longer, accountability is unclear and the warranty period is difficult to manage.
Building and facility maintenance often begins only after a failure occurs
High
Faults, planned works, building management system alerts, work history and contractor commitments are assessed separately, so maintenance needs are often noticed only when a disruption arises.
Consequences
Emergency works, downtime, energy losses and unplanned repair costs are increasing.
Tenant and resident service is conducted through too many channels
Medium
Enquiries, faults, documents, invoices, permits and communication are managed by telephone, email and separate systems.
Consequences
Difficult to track service levels, actions are duplicated, and the client lacks clear status visibility and self-service.
Portfolio decisions rely on inconsistent property data
Medium
Rental, occupancy, cost, energy, technical condition, investment and risk data are collected inconsistently across different properties.
Consequences
Difficult to compare property performance, select investment priorities and reliably forecast asset value and return.
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Digitalisation of a single project or property processVery high impactSelect one change, defect, completed work, handover or maintenance scenario and connect its statuses, responsibilities, deadlines, evidence and impact on costs.
Project and construction focus – control of schedules, budget and changesVery high impactConnect work plan, quantities, budget, contracts, changes, approvals and actual progress.
Project and construction focus – structured property handoverVery high impactHand over to the operations team not a document archive, but a verified database of spaces, equipment, warranties and maintenance data.
Asset management focus – maintenance based on actual dataHigh impactConnect CAFM or CMMS, BMS, energy, contractor, fault and planned maintenance data.
Asset management focus – tenant and resident self-serviceHigh impactManage enquiries, faults, documents, invoices, permits, bookings and communication in one place.
Asset management direction – portfolio and investment analyticsHigh impactStandardise property occupancy, cost, energy, technical condition, risk and investment KPIs.
Long-term direction – asset information management throughout the lifecycleVery high impactDefine in advance what data must be created, verified and handed over at design, construction and operational stages.
Biggest opportunity
Asset information management from project to operation
Connect project requirements, models, changes, actual works, quality evidence, defects, equipment data, warranties and maintenance history.
Fewer design and construction errors
More accurate control of deadlines, budget and changes
Faster and higher quality asset handover
Lower operating and energy costs
Faster resolution of failures and tenant enquiries
More reliable investment and refurbishment decisions
Expected business impact and financial outcome
Better project marginsEarlier visibility of changes, quantity deviations, delays and additional works reduces unplanned losses.
More reliable deadlinesActual progress and task dependencies enable faster replanning and more accurate completion forecasts.
Fewer defects and warranty disputesInspection, defect and rectification history managed in one place helps detect recurring issues earlier.
Lower operating costsReliable equipment, maintenance and energy data reduces emergency work, energy and unplanned repair costs.
More accurate investment decisionsStandardised portfolio data enables more objective choices on which properties to upgrade, sell or expand.
Greater organisational capacityConsistent processes and data enable management of more projects and properties whilst growing the administration team more slowly.
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Problema
Project information is fragmented across participants and systems
Teams work from different versions, solutions are duplicated, and the history of approvals and accountability is difficult to trace.
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Sprendimo kryptis
BIM and common data environment
Manages models, drawings, documents, versions, reviews, approvals and information requirements according to clear accountabilities.
Problema
Design solutions are not always updated according to what is built
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Sprendimo kryptis
BIM and common data environment
Manages models, drawings, documents, versions, reviews, approvals and information requirements according to clear accountabilities.
Problema
The impact of changes on schedule and budget becomes clear too late
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Sprendimo kryptis
BIM and common data environment
Manages models, drawings, documents, versions, reviews, approvals and information requirements according to clear accountabilities.
Problema
The impact of changes on schedule and budget becomes clear too late
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Sprendimo kryptis
Integrated construction project management platform
Connects work plan, budget, contracts, procurement, changes, acceptance, risks, forecasts and ERP data.
Problema
Actual work progress is not visible with sufficient accuracy
Delays are noticed too late, it is difficult to reliably forecast completion and identify real productivity issues.
→
Sprendimo kryptis
Integrated construction project management platform
Connects work plan, budget, contracts, procurement, changes, acceptance, risks, forecasts and ERP data.
Problema
Project information is fragmented across participants and systems
Teams work from different versions, solutions are duplicated, and the history of approvals and accountability is difficult to trace.
→
Sprendimo kryptis
Integrated construction project management platform
Connects work plan, budget, contracts, procurement, changes, acceptance, risks, forecasts and ERP data.
Recommended digital solutions
The choice of solutions depends on the company's position in project and asset management, but in all cases common asset identifiers, clear information requirements and planned integrations are needed.
BIM and common data environment
Manages models, drawings, documents, versions, reviews, approvals and information requirements according to clear accountabilities.
Integrated construction project management platform
Connects work plan, budget, contracts, procurement, changes, acceptance, risks, forecasts and ERP data.
Mobile site works and quality system
Manages tasks, diaries, progress, inspections, defects, photographs, materials and evidence of correction on site.
Handover and asset data platform
Structures data on spaces, equipment, warranties, documents, maintenance requirements and spare parts for operation.
Asset maintenance system
Manages asset register, planned maintenance, fault resolution, contractors, agreed service levels, spare parts, work history and costs.
Tenant and resident self-service portal
Manages requests, faults, documents, invoices, notifications, permits, reservations and their statuses in one channel.
Asset portfolio and energy analytics platform
Standardises and compares property occupancy, lease, cost, energy, technical condition, investment and risk data.
Investment priorities
Select one specific project or asset processIn a single project or asset, connect the statuses, responsibilities and evidence of a selected change, defect, completed work, handover or maintenance scenario.
Integrate control information in project and construction directionManage work plan, budget, changes, actual progress, quality and evidence of completion together.
Begin preparing facility handover at the start of the projectAccumulate a reliable database of premises, equipment, warranties, instructions and maintenance data throughout the project.
Integrate maintenance and customer service in asset management directionConnect asset register, failures, planned works, contractors, energy, costs and tenant self-service.
Only then expand portfolio analytics, digital models and AIDeploy advanced models only with a reliable asset register, actual data and clear decision-making accountabilities.
Key implementation conditions
Define information requirements before project start
Sorting out undefined models, documents and responsibilities later is more expensive than defining in advance what will be needed for construction and operation.
The common data environment is not merely a file repository
It must manage information states, versions, reviews, approvals, responsibilities and audit history.
BIM level of detail must be linked to actual use
Every required attribute must be necessary for quantities, construction, quality, handover or maintenance.
Begin preparing for asset handover not at the end of the project
The asset register, equipment attributes, warranties and maintenance requirements must be accumulated throughout the project.
Digital responsibilities and data rights must be in contracts
Contractors' and designers' commitments, access, storage, export, handover and long-term data usage rules must be clearly defined in procurement and contract documents.
Recommended implementation sequence
01
Analysis of critical process and information gaps
Identify at which stage of project or asset management the most information, time and money is lost.
Process and responsibility map
Systems and data map
Information owners
Initial KPIs
02
Information standard and foundation for common data environment
Standardise the management of document, model, version, approval and object identifiers.
Information requirements
CDE structure
Version and status rules
Access and audit model
03
Implementation of the first integrated process
Connect a selected process within a project or facility, for example, change, defect or work completion approval.
Mobile work process
Change or defect control
Proof of performance
ERP or project system integration
04
Linking handover and asset maintenance
Prepare design and construction information for direct use in the asset maintenance system.
Asset and equipment register
Warranty and maintenance plans
CAFM or CMMS integration
Verification of actual facility data
05
Asset management expansion and advanced optimisation
Integrate asset utilisation, service, energy and investment data, with advanced forecasting and AI scenarios implemented only once a reliable asset register and actual operational data are in place.
Tenant self-service and contractor service level control
Energy and portfolio analytics
Condition-based maintenance pilot
Video analytics or digital facility model pilot
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Recommended KPIs
Change confirmation durationd.
Assess the speed of the solution and contract amendment process.
Proportion of unplanned additional work% of project value
Measure the impact of design, coordination and change control on costs.
Work Plan Completion%
To assess actual progress against plan.
Proportion of defects closed before handover% of registered defects
Measure the results of quality control and defect closure processes before handover.
Object handover data completeness% of mandatory data fields
Measure whether premises, equipment, warranties, instructions and maintenance data are transferred for verification.
Proportion of planned work among all maintenance work%
Evaluate the transition from breakdown maintenance to planned preventive maintenance.
Number of emergency breakdowns per facility per yearcases / per facility per year
Measure asset condition and maintenance process performance.
Proportion of tenant enquiries resolved within agreed service level%
Measure the quality of customer service and contractor commitment fulfilment.
Key risks
An overly detailed model is created without clear benefitLarge amounts of expensively prepared information are accumulated which no one uses in the project or during operation.Kaip suvaldyti Link each data requirement to a specific process, solution, responsibility and KPI.
CDE becomes just another copy of documentsTeams continue to work via email and local directories, whilst the platform is only filled in formally.Kaip suvaldyti Execute the most important approvals, changes and proof of completion only within the controlled process.
Contractors and partners do not engage in the shared processSome participants lack the competence, motivation or contractual obligation to use the shared system.Kaip suvaldyti Include requirements in procurement and contracts, provide training, support and usage control.
Actual asset data does not match realityThe design model is handed over as actual, although changes made on site have not been updated in it.Kaip suvaldyti Establish a process for verification, acceptance and accountability of actual data, linked to on-site evidence.
The first phase includes too many different processesAn attempt is made to change design, construction, handover, leasing and maintenance all at once.Kaip suvaldyti Select one cohesive process and expand only after confirming actual usage and benefit.
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Advanced technologies create value only when models, sensors and documents are linked to a specific asset, responsible employee and real decision.
Already applied in the sector1
Building systems maintenance based on condition and failure risk
Relevant
BMS, sensor and work history data are used to identify equipment condition deterioration and failure risk.
How it is applied Most relevant for facilities with critical, expensive or intensively operating engineering systems.
What value can be created
Fewer unplanned failures
Lower energy consumption
More accurate maintenance timing
What is needed for this to work
Quality condition signals
Equipment and work history
Integration with CAFM or CMMS
Medium-termCommercial solutions are available
Market expansion2
Digital model of a building or infrastructure with real operational data
Highly urgent
BIM, space, equipment, sensor, maintenance and energy data are combined in a single asset model.
How it is applied Suitable for high-value or technically complex assets where condition monitoring, scenario modelling and justification of refurbishment decisions are required.
What value can be created
More accurate condition and energy control
Better maintenance planning
Lower risk of change
What is needed for this to work
Reliable as-built asset model
Asset register and uniform identifiers
Building management systems (BMS), sensor and asset management system integrations
Medium-termApplied in practice
Visual analysis to assess work progress and quality
Relevant
360° imagery, drones and AI are used to compare actual asset condition with the model or construction schedule.
How it is applied Useful in larger projects where progress, quantities or visible non-conformances need to be checked frequently.
What value can be created
Earlier detection of deviations
More objective progress assessment
Fewer manual inspections
What is needed for this to work
Regular image capture
BIM or spatial project model
Human approval process
Short-term perspectiveCommercial solutions are available
Early stage3
Design option generation and comparison
Relevant
Algorithms assist in preparing and comparing planning, structural, energy or spatial options against defined constraints.
How it is applied Useful in early project stages where criteria can be clearly measured and the final solution is approved by a specialist.
What value can be created
More evaluated alternatives
Faster solution comparison
Earlier cost and efficiency optimisation
What is needed for this to work
Clear design criteria
Reliable parametric models
Specialist review and accountability
Medium-termCommercial solutions are available
AI assistance for analysis of documents, contracts and technical information
Relevant
AI helps classify documents, extract requirements, detect inconsistencies and quickly find verified information.
How it is applied Can be applied to design requirements, contracts, technical specifications, certificates and operational documentation.
What value can be created
Less information searching
Faster document verification
Earlier risk detection
What is needed for this to work
Versioned documentation
Access rights control
Source referencing and human verification
Short-term perspectiveCommercial solutions are available
Robotic construction and inspection tasks
Moderately urgent
Robots and autonomous devices are used for measurements, marking, inspections or repetitive physical tasks.
How it is applied Most promising in standardised, hazardous or highly repetitive operations.
What value can be created
Greater productivity
Lower safety risk
More accurate work performance
What is needed for this to work
Digital project model
Accurate location and work information
Safety and human interaction rules
Long-term perspectivePilot projects
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Where to start digitalisation in construction or real estate?
Select one process where the most time or money is currently lost: design change, work progress recording, defect management, asset handover, maintenance or tenant service. The first version must cover an end-to-end selected process, not just a new interface.
Does Building Information Modelling (BIM) in itself solve project management problems?
No. BIM is only useful when model elements, versions and attributes are linked to actual issues, changes, quantities, works, quality checks and asset handover.
Is a Common Data Environment (CDE) essential?
It is particularly valuable when a project involves many participants, models, documents and approvals. However, a CDE must manage not just files, but their states, versions, reviews, responsibilities and audit history.
What should the first version include?
It should cover one specific scenario in one project or asset. For example, a design change from question to approval, work execution, quality evidence and impact on budget.
How to improve asset handover to the asset manager?
Data required for operation must be defined at project inception and accumulated throughout the project. The asset manager must receive a validated database of spaces, equipment, warranties, manuals and maintenance data, not just a document catalogue.
How to assess the return on investment of a digitalisation project?
Measure change duration, unplanned additional works, schedule adherence, defects closed before handover, completeness of handover data, emergency failures and resolution of enquiries against agreed service level (SLA). The number of BIM models created or documents uploaded does not demonstrate benefit.
Next step
Let us assess at which stage of project or asset management the most value is lost
The consultancy will review design, change, site, handover, maintenance and customer service processes and help select one initial stage where the benefit can be clearly measured.