Servicers, Your Toughest Property Challenges Solved

Safeguard Properties is launching Preserv.AI, a suite of artificial intelligence tools that puts advanced computer vision and machine learning directly into the hands of mortgage servicers. Developed around the complex problems clients asked Safeguard to solve, the platform helps servicers identify property risks earlier, accelerate corrective action, and substantially reduce the staff time required to review collateral.

Preserv.AI brings together four specialized agents: ICC Compliance, Inspection Review, Hazard Claim Review, and Property Review. Each addresses a critical point where missed conditions, delayed decisions, or unresolved issues can contribute to collateral deterioration and servicing losses.

For servicers, the opportunity is significant: automate the intensive work of reviewing photographs and property records, present findings with supporting evidence, and make it easier for employees to act before a problem becomes a larger financial exposure.

ICC Compliance: From Three Hours to 20 Minutes

Determining whether a property meets FHA conveyance condition requirements can involve hours of reviewing photographs, assessing deficiencies, and assembling evidence. Preserv.AI’s ICC Compliance agent automates much of that work.

The agent carefully examines every photograph from the most recent property visits to assess conveyance readiness and identify potential impediments. It produces detailed descriptions of deficiencies and assembles the specific photographs supporting each finding, giving reviewers a clear basis for their decisions.

The model is designed to be literal and thorough. It distinguishes documented conditions from concerns that remain inconclusive, helping reviewers understand both what the evidence establishes and where additional information may be needed. Users can then confirm whether an identified condition constitutes a true impediment to conveyance.

Within Safeguard’s workflow, this capability has reduced ICC review time from approximately three hours per file to 20 minutes—an approximately 89% reduction. The time savings and quality of the findings have exceeded Safeguard’s expectations.

For servicers, faster reviews can help teams identify outstanding work sooner, resolve impediments more efficiently, and manage conveyance workloads with substantially less manual effort.

Inspection Review: Turn Findings Into Corrective Action

An inspection creates an opportunity to prevent further damage—but only if the findings lead to timely action.

Preserv.AI’s Inspection Review agent assesses interior inspection photographs to identify deficiencies requiring attention. The workflow prompts the user to add a deficiency and generate a work order, connecting the review directly to the corrective action.

This addresses a familiar servicing challenge. Teams can spend considerable time reconstructing how a property deteriorated and determining whether an earlier intervention could have prevented the loss. Inspection Review helps move that work forward, identifying conditions while there is still an opportunity to address them.

Safeguard’s review and ordering workflow previously required approximately 25 minutes to review a file and another 10 minutes to place an order. With Preserv.AI, that combined process now takes approximately two minutes—a reduction of roughly 94%.

The value extends beyond productivity. Faster identification and ordering can help prevent existing damage from compounding and reduce exposure to investor denials associated with mortgagee neglect. Employees spend less time navigating records and entering orders, allowing them to focus on resolving the conditions that put collateral at risk.

Damage Source Review: Better Insight Into the Likely Cause of Damage

Identifying damaged property components and determining what caused the damage are different challenges. An independent contractor entering a property for the first time may document the condition accurately without having the historical information necessary to understand its origin.

Preserv.AI’s Damage Source Review agent combines computer vision with a machine learning model informed by historical causes of damage, historical weather data, and storm events to identify likely causes.

This approach gives servicers additional context when evaluating whether a documented condition may have a claimable source. The tool presents its findings for a straightforward yes-or-no review, helping users assess potential claim opportunities with a more informed understanding of the damage.

By bringing visual evidence and historical information into the same review, Preserv.AI helps address one of the most difficult questions in property preservation: what likely happened, and does it warrant pursuing an insurance claim?

Property Review: A Broader View of Collateral Protection

Individual inspections, bids, and claims tell only part of a property’s story. Servicers also need to understand whether those activities are collectively protecting the asset as it moves through foreclosure.

Preserv.AI’s Property Review agent allows users to enter a loan or reference number and receive a Property Preservation score, supported by findings that identify gaps requiring attention.

For example, an insurance claim may have been initiated 90 days earlier without a recorded decision. That unresolved claim requires follow-up. Elsewhere, bids associated with an investor’s mortgagee neglect denial may remain pending approval while the property continues to deteriorate. That situation requires a decision and a plan.

Property Review brings these issues into focus, helping servicers see where unresolved activity is creating continued exposure and direct staff attention to the matters requiring intervention.

Advanced Technology, Built Around Servicing Decisions

Preserv.AI reflects Safeguard’s investment in applying machine learning and computer vision to the operational realities of mortgage servicing. Its four agents turn complex property information into documented findings and practical next steps.

The measured time savings demonstrate the potential to reduce staffing requirements for repetitive reviews, expand review capacity, and allow experienced employees to concentrate on decisions and exceptions.

Safeguard will initially make Preserv.AI available to a limited number of participants by request. This phased rollout will allow the company to evaluate usage, computing demand, and operating costs as access expands.

Servicers interested in participating are invited to contact Safeguard Properties to request access.