Handling Tenant Communication Across Housing Units in Denmark
Client
PKAE
Location
Denmark
Industry
Property Management
Use Case
Internal AI chatbot + Email drafting automation
Client Overview
PKAE is a property management organization handling tenant communication, maintenance requests, and administrative processes. Their teams managed a constant stream of tenant requests that required accurate, policy-aligned responses — at scale.
The Challenge
Large volume of repetitive tenant questions daily
Time-consuming manual email responses for every request
Risk of inconsistency across responses from different team members
Limited ability to scale support without increasing headcount
Full automation was not an option — every response required human review
The Solution
AI Customer Support Chat
An internal-facing assistant providing employees with instant, policy-compliant answers.
- Instant answers based on house rules and procedures
- Built with structured logic to ensure accuracy and compliance
- Consistent, contextual, and policy-aligned at all times
- Connected to internal documentation and systems
Email Drafting Assistant
Automatically generates context-aware email replies integrated into PKAE workflows — in draft-only mode for full human control.
- Automatically generates context-aware draft replies
- Operates in draft-only mode — employees review and approve before sending
- Fully integrated into existing PKAE workflows
- Ensures consistent, compliant communication at scale
Client Testimonials
“The internal chatbot transformed how our teams access information. Instead of relying on emails and back-and-forth communication, employees now get instant, accurate answers directly within the intranet. This has significantly reduced internal support requests and improved overall operational efficiency.”
Pia Madsen
“The email drafting capability has had an immediate impact on our customer support workflows. Our team now handles inquiries faster and with greater consistency, while still maintaining full control over communication. It has reduced response time and allowed us to scale support without increasing workload.”
Michael Westergaard
Results Overview
400
Draft emails created
2 Min
Handling time per request
↓ Significant
Reduction in manual workload
↑ Improved
Consistency in communication
