On September 21 and 22, 2026, valuation software provider on-geo, advisory firm vdp Consulting, and financial IT specialist msg for banking unveiled a new artificial intelligence verification tool. Named the vdpC ValuationScore, the application has been embedded directly into the widely established industry platform Lora. With this release, the three partner organizations are responding to sustained pressure across credit institutions to streamline internal review processes for real estate collateral. The deployment represents a significant shift toward automating specialized banking workflows that previously demanded extensive manual effort.
The regulatory foundation of the new system is the German Valuation Ordinance, known as the Beleihungswertermittlungsverordnung or BelWertV. Specifically, the vdpC ValuationScore focuses on formal plausibility checks for short appraisal reports under Section 24 of the BelWertV, which represent the market standard for high-volume residential mortgage lending. Supervisory rules mandate that banks and savings institutions thoroughly verify the formal integrity and plausibility of these valuations before issuing loan commitments. Because this examination ties up qualified valuation specialists and credit officers, it has long represented a considerable operational cost factor for mortgage lenders.
From a technical perspective, the software uses machine-driven text processing to evaluate appraisal narratives and attached on-site inspection documentation. The algorithms continuously benchmark recorded figures, building descriptions, and site notes against a predefined regulatory catalog formulated in close alignment with banking supervisory requirements. If property characteristics deviate from standard specifications, inspection details are missing, or mathematical discrepancies occur, the system immediately flags the issue. The automated pre-filtering provides human reviewers with instant visibility into formal deficiencies that would otherwise require tedious manual cross-referencing.
A defining feature of the rollout is its native integration within the Lora user interface, eliminating the need for loan processors to switch between detached software tools. The algorithms highlight detected anomalies directly within the built-in PDF viewer and assign specific risk indicators to individual report sections. Concurrently, the tool calculates an aggregate risk score that visualizes the overall compliance and quality of the submitted document at a single glance. Processors can immediately determine whether an appraisal report passes without reservations or requires in-depth examination by senior valuation experts.
For mortgage banks and lending institutions handling standardized residential property financing, the operational deployment of the vdpC ValuationScore delivers significant reductions in manual workload. Routine verification steps are handled autonomously by the machine, enabling credit teams to redirect their attention toward high-risk files and complex financing structures. At the same time, the standardized documentation minimizes audit risks during regulatory bank examinations, ensuring that requirements under Section 24 of the BelWertV are systematically satisfied. The integration demonstrates how targeted industry software can translate strict supervisory mandates into tangible efficiency gains.
Furthermore, the partnership underscores an accelerating transformation across real estate appraisal platforms. By linking on-geo, vdp Consulting, and msg for banking within the Lora environment, the contributors have created a cohesive infrastructure tailored to Pfandbrief banks and retail lenders alike. Rather than relying on isolated niche applications, financial institutions benefit from an integrated ecosystem that embeds regulatory scrutiny directly into day-to-day credit operations. This advancement signals that artificial intelligence is moving beyond generic administrative tasks to take on legally sensitive risk assessment roles in commercial finance.