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Techniecode has developed TIIVA AI, an intelligent mortgage AI decision-making assistant that provides the highest level of automation for the mortgage process. TIIVA AI combines four existing software products (Condo AI, Underwriter AI, Document Search and Guideline Guru) in one system to help lenders make faster and more accurate mortgage decisions.
TIIVA AI will assist lenders, brokers and servicers in reducing manual work and increasing the ability to scale their businesses through the use of trusted AI mortgage services from origination to underwriting and beyond.
Mortgage operations are becoming more complex, not simpler.
Traditional mortgage software alone can’t keep up. Mortgage teams need intelligent assistance that works alongside their workflows.
TIIVA AI is an intelligent assistant designed to support mortgage professionals across origination, underwriting, compliance, and mortgage servicing AI workflows.
Rather than replacing human expertise, TIIVA AI enhances it—using artificial intelligence to surface insights, automate reviews, and provide instant access to trusted information.
Built to integrate with existing mortgage systems, TIIVA AI delivers practical, real-world AI mortgage services that teams can rely on.
With Condo AI’s technology, the tedious part of mortgage underwriting, which is the review of condo documents (declarations, bylaws, budgets, and questionnaires), is greatly simplified. Condo AI takes the information it extracts from these various condo documents and evaluates those data against the corresponding agency guideline; thus eliminating much, if not all, of the manual work currently performed by underwriters.
Condo AI helps lenders move condo loans forward with greater speed and confidence.
Underwriter AI is used by Underwriting Teams to help them in their work and provide them with assistance from an Assistant. Underwriter AI takes data (borrower, loan) and processes it to give underwriters summaries that provide insight into potential risk factors and highlight exceptions that require more investigation.
Underwriter AI enables underwriters to focus on judgment-driven decisions while AI handles the heavy analysis.
Finding the right information inside large loan files shouldn’t slow your team down. Document Search uses AI to instantly locate relevant data across PDFs, scanned files, and digital documents.
This intelligent document search dramatically reduces time spent hunting for critical loan information.
Guideline Guru transforms how mortgage teams access and interpret guidelines. Users can ask questions in plain language and receive clear, section-referenced answers based on agency rules.
Guideline Guru reduces compliance risk and eliminates hours of manual guideline research.
The entire process of a mortgage application follows the complete mortgage AI workflow from end to end with the use of TIIVA AI:
One platform, one workflow, complete AI assistance, one complete mortgage application process, using the same information from the same documents.
Techniecode brings deep mortgage domain expertise to every AI solution we build.
Discover how TIIVA AI can help your team deliver faster decisions, better compliance, and smarter mortgage operations using trusted AI mortgage services.
TIIVA AI by Techniecode automates mortgage decisions by combining Condo AI, Underwriter AI, Document Search, and Guideline Guru for faster, accurate lending.
Condo AI analyzes the condo documentation (such as the Bylaws and Budgets) in accordance with Agency Guidelines to facilitate the verification of eligibility quicker than traditional means, while reducing the amount of manual work needed.
By evaluating borrower/loan data, Underwriter AI identifies potential risks, exceptions, and improves the time required to perform a review and achieve consistency in underwriting results.
AI Document Search uses natural language to quickly search through PDF documents and find specific information in the file, thereby decreasing amount of search time.
Fannie Mae, Freddie Mac, FHA, VA, and USDA—delivers instant, referenced answers to cut compliance research.