Loan officers spent hours manually scanning 500-page guidelines. Now, AI retrieves exact policies to answer clients in minutes.
A mortgage lending firm processing loan applications that require officers to review complex industry guidelines and documents frequently exceeding 500 pages of text and tabular data.
Loan officers were buried under paperwork, spending their days in a continuous cycle of manual data entry and thorough document review. These...
“InstaAI hasn't just changed how I work; it's redefined my role, supercharging my efforts of enriching the experience for our clients.”
Digital mortgage lender for home purchase and refinance loans.
Joined forces with InstaMortgage to create InstaAI, an AI platform with three core modules.
Framework and developer platform for building LLM-powered applications.
InstaMortgage's Mortgage document processing is part of this use case:
Related implementations across industries and use cases
Brokers were bottlenecked manually re-entering data across systems. Now, AI reads incoming paperwork and runs real-time compliance checks.
Legacy systems choked on 1,000-page medical files. AI now converts handwritten notes and 1970s scans into structured data.
Turnover bottlenecked 30k monthly inquiries. GenAI now resolves 64% of emails and 100% of chats, lifting CSAT 8 points.
Staff spent hours manually scanning transcripts. Agents now monitor feeds and update sales docs before the team logs on.
One AE held the team's institutional knowledge—90% of his day in Slack. A digital double in his voice freed him to sell.
Analyzing 200-page reports took senior reps hours. Now, AI extracts key insights, empowering any sales rep to build tailored client decks.
Escalations from 2.5M daily transactions bottlenecked teams. Multi-agent AI now dynamically routes and resolves complex payment issues.
Quality reviews dragged for weeks, gated by a handful of specialists. Now employees build agents that move them through in about an hour.
Pulling answers from a sprawling customer dataset once meant weeks of SQL; now anyone asks in plain language and explores it in seconds.
Loan officers spent hours manually scanning 500-page guidelines. Now, AI retrieves exact policies to answer clients in minutes.
A mortgage lending firm processing loan applications that require officers to review complex industry guidelines and documents frequently exceeding 500 pages of text and tabular data.
Loan officers were buried under paperwork, spending their days in a continuous cycle of manual data entry and thorough document review. These...
“InstaAI hasn't just changed how I work; it's redefined my role, supercharging my efforts of enriching the experience for our clients.”
Digital mortgage lender for home purchase and refinance loans.
Joined forces with InstaMortgage to create InstaAI, an AI platform with three core modules.
Framework and developer platform for building LLM-powered applications.
InstaMortgage's Mortgage document processing is part of this use case:
Related implementations across industries and use cases
Brokers were bottlenecked manually re-entering data across systems. Now, AI reads incoming paperwork and runs real-time compliance checks.
Legacy systems choked on 1,000-page medical files. AI now converts handwritten notes and 1970s scans into structured data.
Turnover bottlenecked 30k monthly inquiries. GenAI now resolves 64% of emails and 100% of chats, lifting CSAT 8 points.
Staff spent hours manually scanning transcripts. Agents now monitor feeds and update sales docs before the team logs on.
One AE held the team's institutional knowledge—90% of his day in Slack. A digital double in his voice freed him to sell.
Analyzing 200-page reports took senior reps hours. Now, AI extracts key insights, empowering any sales rep to build tailored client decks.
Escalations from 2.5M daily transactions bottlenecked teams. Multi-agent AI now dynamically routes and resolves complex payment issues.
Quality reviews dragged for weeks, gated by a handful of specialists. Now employees build agents that move them through in about an hour.
Pulling answers from a sprawling customer dataset once meant weeks of SQL; now anyone asks in plain language and explores it in seconds.