Org/Tech Change
Real Estate Developer Creates a Competitive Advantage
A large central European real-estate company redesigned tenant operations from fragmented manual processes into a centralized, AI-enabled workflow. It covers the business case, process redesign, Yardi deployment, AI agents, and the resulting operational and financial impact.
Year :
2026
Industry :
Real Estate
Client :
Dagesh Europe
Project Duration :
6 Months
Problem :
Tenant operations for ~2,000 tenants were managed through fragmented spreadsheets, monday.com, email, and manual processes.
There was no single source of truth for tenant, lease, payment, utility, maintenance, and compliance data.
Roughly 10–15 employees spent substantial time on repetitive administration, follow-up, reconciliation, and coordination.
Errors were frequent: incorrect charges, missed collections, wrong documents, delayed renewals, unresolved service issues, and compliance gaps.
Customer service was inconsistent and often reactive, creating tenant dissatisfaction and poor visibility.
Management lacked a clear, real-time view of tenant status, outstanding actions, renewals, collections, and service performance.
The overall process was costly, difficult to scale, and estimated to create roughly €1.6M in annual economic friction.
Solution :
Consolidated tenant operations onto Yardi as the single system of record for tenants, leases, payments, utilities, maintenance, renewals, and compliance.
Redesigned the workflow from first principles instead of automating the old manual process.
Introduced event-driven workflows so payments, renewals, service issues, compliance deadlines, and other triggers automatically launch the right process.
Deployed AI agents and automation for collections, lease management, renewals, utilities, maintenance, compliance, and tenant communication.
Shifted employees away from repetitive administration toward exception handling, negotiation, judgment, and relationship management.
Created a more proactive tenant experience with faster responses, clearer status, fewer errors, and better service.
Added real-time management visibility across collections, renewals, service issues, compliance, and operational performance.
Challenge :
Data migration and cleanup: consolidating spreadsheets, monday.com, documents, and local records into one trusted Yardi data model.
Standardizing processes across countries: different teams had developed different workflows, terminology, and operating habits.
Defining clear business rules: collections, renewals, maintenance, compliance, and escalation rules had to be made explicit before they could be automated.
Employee adoption: teams had to stop relying on familiar spreadsheets and local tools and trust the new centralized workflow.
AI reliability and control: agents needed clear permissions, approval points, exception handling, and human oversight for higher-risk actions.
Phased deployment: the new workflows had to be introduced gradually without disrupting ongoing tenant operations.
Maintaining customer experience during transition: tenant communication, payments, maintenance, and service could not degrade while the new system was being implemented.
Balancing standardization with local requirements: the global operating model still needed to accommodate country-specific legal, contractual, and operational differences.
Summary :
Centralized tenant operations on Yardi, replacing fragmented spreadsheets, monday.com, and local workflows.
Created a single operational view of tenants, leases, payments, utilities, maintenance, renewals, and compliance.
Shifted the operating model from manual, reactive administration to event-driven, AI-enabled workflows.
Reduced reliance on repetitive human coordination, with staffing expected to decline from roughly 10–15 FTEs to ~4 FTEs over 2–3 years.
Targeted recovery of about 75% of the estimated €1.6M annual process friction, or roughly €1.2M in mature annual benefit.
Improved tenant service through faster response, greater transparency, fewer errors, and more proactive renewals and issue management.
Gave management better real-time visibility into collections, service performance, renewals, compliance, and operational exceptions.
Created a scalable platform for further AI-driven innovation across the tenant lifecycle.
More Projects
Org/Tech Change
Real Estate Developer Creates a Competitive Advantage
A large central European real-estate company redesigned tenant operations from fragmented manual processes into a centralized, AI-enabled workflow. It covers the business case, process redesign, Yardi deployment, AI agents, and the resulting operational and financial impact.
Year :
2026
Industry :
Real Estate
Client :
Dagesh Europe
Project Duration :
6 Months
Problem :
Tenant operations for ~2,000 tenants were managed through fragmented spreadsheets, monday.com, email, and manual processes.
There was no single source of truth for tenant, lease, payment, utility, maintenance, and compliance data.
Roughly 10–15 employees spent substantial time on repetitive administration, follow-up, reconciliation, and coordination.
Errors were frequent: incorrect charges, missed collections, wrong documents, delayed renewals, unresolved service issues, and compliance gaps.
Customer service was inconsistent and often reactive, creating tenant dissatisfaction and poor visibility.
Management lacked a clear, real-time view of tenant status, outstanding actions, renewals, collections, and service performance.
The overall process was costly, difficult to scale, and estimated to create roughly €1.6M in annual economic friction.
Solution :
Consolidated tenant operations onto Yardi as the single system of record for tenants, leases, payments, utilities, maintenance, renewals, and compliance.
Redesigned the workflow from first principles instead of automating the old manual process.
Introduced event-driven workflows so payments, renewals, service issues, compliance deadlines, and other triggers automatically launch the right process.
Deployed AI agents and automation for collections, lease management, renewals, utilities, maintenance, compliance, and tenant communication.
Shifted employees away from repetitive administration toward exception handling, negotiation, judgment, and relationship management.
Created a more proactive tenant experience with faster responses, clearer status, fewer errors, and better service.
Added real-time management visibility across collections, renewals, service issues, compliance, and operational performance.
Challenge :
Data migration and cleanup: consolidating spreadsheets, monday.com, documents, and local records into one trusted Yardi data model.
Standardizing processes across countries: different teams had developed different workflows, terminology, and operating habits.
Defining clear business rules: collections, renewals, maintenance, compliance, and escalation rules had to be made explicit before they could be automated.
Employee adoption: teams had to stop relying on familiar spreadsheets and local tools and trust the new centralized workflow.
AI reliability and control: agents needed clear permissions, approval points, exception handling, and human oversight for higher-risk actions.
Phased deployment: the new workflows had to be introduced gradually without disrupting ongoing tenant operations.
Maintaining customer experience during transition: tenant communication, payments, maintenance, and service could not degrade while the new system was being implemented.
Balancing standardization with local requirements: the global operating model still needed to accommodate country-specific legal, contractual, and operational differences.
Summary :
Centralized tenant operations on Yardi, replacing fragmented spreadsheets, monday.com, and local workflows.
Created a single operational view of tenants, leases, payments, utilities, maintenance, renewals, and compliance.
Shifted the operating model from manual, reactive administration to event-driven, AI-enabled workflows.
Reduced reliance on repetitive human coordination, with staffing expected to decline from roughly 10–15 FTEs to ~4 FTEs over 2–3 years.
Targeted recovery of about 75% of the estimated €1.6M annual process friction, or roughly €1.2M in mature annual benefit.
Improved tenant service through faster response, greater transparency, fewer errors, and more proactive renewals and issue management.
Gave management better real-time visibility into collections, service performance, renewals, compliance, and operational exceptions.
Created a scalable platform for further AI-driven innovation across the tenant lifecycle.
More Projects
Org/Tech Change
Real Estate Developer Creates a Competitive Advantage
A large central European real-estate company redesigned tenant operations from fragmented manual processes into a centralized, AI-enabled workflow. It covers the business case, process redesign, Yardi deployment, AI agents, and the resulting operational and financial impact.
Year :
2026
Industry :
Real Estate
Client :
Dagesh Europe
Project Duration :
6 Months
Problem :
Tenant operations for ~2,000 tenants were managed through fragmented spreadsheets, monday.com, email, and manual processes.
There was no single source of truth for tenant, lease, payment, utility, maintenance, and compliance data.
Roughly 10–15 employees spent substantial time on repetitive administration, follow-up, reconciliation, and coordination.
Errors were frequent: incorrect charges, missed collections, wrong documents, delayed renewals, unresolved service issues, and compliance gaps.
Customer service was inconsistent and often reactive, creating tenant dissatisfaction and poor visibility.
Management lacked a clear, real-time view of tenant status, outstanding actions, renewals, collections, and service performance.
The overall process was costly, difficult to scale, and estimated to create roughly €1.6M in annual economic friction.
Solution :
Consolidated tenant operations onto Yardi as the single system of record for tenants, leases, payments, utilities, maintenance, renewals, and compliance.
Redesigned the workflow from first principles instead of automating the old manual process.
Introduced event-driven workflows so payments, renewals, service issues, compliance deadlines, and other triggers automatically launch the right process.
Deployed AI agents and automation for collections, lease management, renewals, utilities, maintenance, compliance, and tenant communication.
Shifted employees away from repetitive administration toward exception handling, negotiation, judgment, and relationship management.
Created a more proactive tenant experience with faster responses, clearer status, fewer errors, and better service.
Added real-time management visibility across collections, renewals, service issues, compliance, and operational performance.
Challenge :
Data migration and cleanup: consolidating spreadsheets, monday.com, documents, and local records into one trusted Yardi data model.
Standardizing processes across countries: different teams had developed different workflows, terminology, and operating habits.
Defining clear business rules: collections, renewals, maintenance, compliance, and escalation rules had to be made explicit before they could be automated.
Employee adoption: teams had to stop relying on familiar spreadsheets and local tools and trust the new centralized workflow.
AI reliability and control: agents needed clear permissions, approval points, exception handling, and human oversight for higher-risk actions.
Phased deployment: the new workflows had to be introduced gradually without disrupting ongoing tenant operations.
Maintaining customer experience during transition: tenant communication, payments, maintenance, and service could not degrade while the new system was being implemented.
Balancing standardization with local requirements: the global operating model still needed to accommodate country-specific legal, contractual, and operational differences.
Summary :
Centralized tenant operations on Yardi, replacing fragmented spreadsheets, monday.com, and local workflows.
Created a single operational view of tenants, leases, payments, utilities, maintenance, renewals, and compliance.
Shifted the operating model from manual, reactive administration to event-driven, AI-enabled workflows.
Reduced reliance on repetitive human coordination, with staffing expected to decline from roughly 10–15 FTEs to ~4 FTEs over 2–3 years.
Targeted recovery of about 75% of the estimated €1.6M annual process friction, or roughly €1.2M in mature annual benefit.
Improved tenant service through faster response, greater transparency, fewer errors, and more proactive renewals and issue management.
Gave management better real-time visibility into collections, service performance, renewals, compliance, and operational exceptions.
Created a scalable platform for further AI-driven innovation across the tenant lifecycle.