How We Helped Enterprises Get AI Right

The Problem: A mortgage advisory company deployed an AI model to generate property appraisals. The model was fast—processing 100 properties per day. But it was also hallucinating: fabricating square footage, inventing features, and overestimating property values by up to 50%.

This created a nightmare scenario: loan officers were approving mortgages based on inflated valuations, exposing the company to massive financial risk and regulatory violations.

Our Solution: We deployed a team of licensed appraisers who reviewed every AI-generated appraisal. We caught the hallucinations, corrected the valuations, and fed the corrections back into the company's knowledge base. Within 3 months, the AI's accuracy improved from 68% to 94%.

The Impact: The company prevented over $2 million in bad loans, avoided regulatory penalties, and now uses TruthLoop's Pro Loop for all new appraisals.

The Problem: An e-commerce company used AI to generate product descriptions at scale. The AI was creative and persuasive—too persuasive. It was inventing health benefits that didn't exist: "cures insomnia," "boosts immunity," "prevents cancer." Publishing these descriptions would violate FTC regulations and expose the company to lawsuits.

Our Solution: We deployed compliance specialists who reviewed every AI-generated description. We flagged false claims, rewrote descriptions to be accurate and compliant, and created guardrails to prevent the AI from making unsubstantiated health claims in the future.

The Impact: The company published 50,000+ product descriptions without a single compliance violation. They now use TruthLoop's Pro Loop to validate all new product content.

The Problem: A PropTech company was using AI to analyze complex real estate documents (deeds, leases, title reports). The AI was fast but inaccurate, missing critical clauses and misinterpreting legal language. Manual review was taking weeks.

Our Solution: We worked with the company's legal team to validate AI outputs and build a specialized knowledge base (RAG) for real estate documents. We created guardrails for common legal patterns and fine-tuned the AI model with corrected examples.

The Impact: The company reduced document analysis time from 2 weeks to 3 days. Accuracy improved from 72% to 96%. They're now processing 10x more documents with the same team.