About the Client
The client is a mid-sized mortgage services provider based in Atlanta, GA. With operations across multiple states and a growing loan portfolio, the company manages a range of customized loan programs catering to homebuyers, property investors, and condominium buyers.
The firm employs 100-150 professionals, including a team of Loan Officers who act as the first point of contact for borrowers. The client is recognized for offering flexible portfolio loan programs with complex eligibility rules and documentation requirements.
Given the nature of their work, the company deals with frequent updates to program guidelines, regulatory compliance, and strict service-level expectations. Their sales and operations teams often struggled to keep up with changing policies and respond to borrower queries efficiently.
The Challenge
The client approached Flatworld.ai with a clear but complex objective: to enable its Loan Officers to quickly access the most up-to-date information on various portfolio programs and condo requirements without having to dig through static documents or rely on manual back-and-forth with internal support teams.
Solution Delivery
Flatworld.ai followed a phased approach that allowed rapid prototyping, real-time feedback incorporation, and smooth deployment on the client’s existing infrastructure.
The team aligned with key stakeholders to define business goals, capture technical constraints, and establish the deployment environment. Clear timelines and role ownership were established at this stage.
A functional prototype of the AI assistant — customized on top of the Telenok framework was developed to support agent-orchestrated query handling workflows. This included setting up intents for common loan queries and drafting sample email templates for escalation.
Telenok was trained on the customer’s program guidelines to build a decision intelligence layer for loan program queries. To enable fast and context-aware responses, Flatworld.ai integrated vector search technology for retrieving unstructured documents. The chatbot widget was customized for compatibility with Wix and WordPress and embedded on the client’s internal portal.
Flatworld’s team ran prompt tuning exercises and tested Telenok with real queries from Loan Officers. The model was repeatedly refined to improve its handling of tabular data like rate charts and program matrices.
Internal QA was followed by user acceptance testing with the client’s team. Feedback was collected around response accuracy, response tone, and coverage of edge cases with human-in-the-loop validation to refine AI responses and exception handling.
After going live, Flatworld.ai provided user training sessions and shared quick-start guides. The team monitored live usage for two weeks to ensure a smooth transition and performance stability.
Behind the Scenes
While the project stayed on track in terms of timeline, several technical and operational complexities had to be addressed by the Flatworld team:
Much of the client’s program documentation included tables with variables. Translating these into accurate, conversational AI responses required additional model tuning and structured prompt design.
The client regularly updated their program rules, which meant the AI knowledge base had to be updated on a rolling basis. Flatworld implemented a controlled admin interface to manage and publish changes in real-time.
Ensuring Telenok worked smoothly with the client’s Microsoft 365 environment and their intranet CMS (Wix/WordPress mix) required careful widget customization and cross-platform testing.
Flatworld’s proprietary LLM-powered assistant
For accurate content retrieval from unstructured documents
Internal intranet used for deployment
For KB and user access management
For usage trends, query accuracy, and adoption metrics
Results Achieved
With post-deployment, the client reported significant gains in operational efficiency and sales productivity.
for common borrower queries
attributed to faster turnaround on program-related questions
driven by clearer, faster communication
allowing senior underwriters to focus on exception cases
Client Impact
With Telenok live on their internal portal, Loan Officers ask detailed program questions and get instant, accurate responses. This replaced manual searches through static PDFs and reduced reliance on underwriting teams. Loan Officers are now better equipped to respond on the spot, improving speed, consistency, and borrower confidence during every conversation.
Takeaway
Flatworld.ai helped the client convert complex program documentation into a live, searchable knowledge assistant. This shift not only improved operational speed but also reduced compliance risks and allowed the business to scale support without increasing headcount.
The Telenok implementation shows how Agentic AI-driven knowledge workflows can turn internal knowledge into a strategic advantage for modern mortgage firms — schedule your demo today.