Aareon builds AAVA, an AI virtual assistant integrated into its German property-management ERP, using Amazon Bedrock

Overview

Aareon, a Germany-headquartered property management software provider, integrated an AI virtual assistant called AAVA into its German ERP solution Wodis Yuneo using Amazon Bedrock. AAVA lets real estate housing company customers query documents, request information through chat, automate processes, and accelerate workflows -- including scheduling appointments between tenants and craftsmen, coding invoices, analyzing images to draft damage reports, and sorting incoming email, with both text and voice support. Aareon uses various LLMs available through Bedrock, including Anthropic's Claude models and Amazon Nova models, testing and selecting models by complexity and price performance for each use case (for example, a higher token-limit model for calculating service charges). The Bedrock deployment runs in the AWS Germany (Frankfurt) Region to help meet GDPR requirements, with customer data not used to train or improve the underlying models. The first version of AAVA was built in 4 weeks and announced to customers within 6 months, developed with support from AWS Partner Reply.

The challenge

Aareon saw the potential for AI to automate repetitive daily tasks for its customers -- real estate housing companies that manage multiple rental properties -- and sought to help them accomplish all property management processes in one place, reducing manual workflows such as filing damage reports and scheduling appointments.

The solution

Aareon integrated an AI virtual assistant, AAVA, into its German ERP solution Wodis Yuneo by connecting the backend to Amazon Bedrock, using large language models including Anthropic's Claude models and Amazon Nova models. The company tests LLMs and selects the model with the best accuracy and price performance for each use case, for example a higher token-limit model for calculating service charges. The Bedrock deployment runs in the AWS Germany (Frankfurt) Region to help meet GDPR requirements, and customer data is not used to train or improve the underlying models. Aareon accelerated the project by working with AWS Partner Reply to build the solution interface.

Reported business value

AAVA helps customers query documents, request information through chat, automate processes, and accelerate workflows, including scheduling appointments between tenants and craftsmen, coding invoices, analyzing images to draft damage reports, and sorting incoming email, with both text and voice support. Aareon developed the first version of AAVA in 4 weeks and announced it to customers within 6 months. Overall, the company's AI solutions help reduce repetitive work, freeing customers to focus on meaningful customer interactions.