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AI Safety Layer, Reduced Database Query Time from Days to Seconds

Voice Response AI Tools With a Safety Layer Between Sensitive Data and the AI Engine

The Rundown
Right now, Bank employees want to use AI access to sensitive company data, and they want to use Artificial Intelligence tools, but the bank cannot hand customer information to an outside AI engine. That’s the problem that the safety harness is designed to solve. 


Our development team engineered a banking safety harness, called Economic Advisor, so employees can use AI tools to get suggestions about what to do with a loan. This turns AI into a bank tool that can speed up transactions from days to seconds - while sitting in front of a customer.

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From Days to Seconds

Ravi and his development team built a safety layer between staff and the AI Engine so customer data never reaches the AI engine. Nueve Solutions is AIGorilla’s 14-year technical development partner. They are Austin-based AI architects, specializing in bank-grade cybersecurity. More about them below.

Goals
•    Create AI powered Economic Advisor, a safe, auditable financial AI Safety Harness
•    Interface using voice or text response 
•    Provide information that is in the company database
•    Build a layer (safety harness) that prevents all PII from getting to the AI Engines
•    Provide real-time coaching to employees who overshare

Strategy
We are building a safety harness for AI agents. Just like the harness you put on before a bungee jump, it protects you from bad outcomes. The way this harness works is by providing a safety layer between the AI Engine, the bank’s AI agent, and the employee. We call this safety layer an Economic Advisor. For instance, you don’t want to pass any Personally Identifiable Information to an outside AI Engine. This harness active-blocks PII before it leaves the bank's boundary.


For example, a bank employee asks a question, “What’s the best loan rate I can offer this customer?”, “What would be the ideal loan rate to suggest?”, or “Get me all the people who defaulted on a loan last month”. The Economic Advisor understands that the employee requesting the info has the right access, therefore they should be able to see this report. Employees get answers from company data while PII stays protected.


The Economic Advisor turns into a Safety Harness when sensitive data is shared. If an employee of the bank logs in to get suggestions on the current loan situation, and during that interaction they provide PII info, the Economic Advisor makes sure that outside AI Engines don’t receive it. The employees are coached in real time when they overshare. The employee will receive a message saying they provided too much sensitive info. The Economic Advisor / Safety Harness will provide a message to the manager and anyone else in that loop. The LLM will not see the PII information. 
 

For productivity, the harness contains all the history. If you are advising a client, and they have done several steps, but now need to go through step 3. The Economic Advisor provides a link to the interface to exchange data. If your loans are going bad, the Economic Advisor will let you know. The harness allows the user to train and update the LLM and provide better responses to customers.
Instead of having the IT team write queries in a database that takes a couple of days.


The employee can use the Economic Advisor with their voice, or typing, to accomplish the goals. The LLM understands different languages, history of the user, and offers the correct advice according to company data. 


Everything is audit-able. The company will be able to audit the entire interaction. The harness will log the interaction in an auditable format. Someone can login and see what type of advice was provided.

Obstacles

  • Must keep a human in the loop, we are building frontier AI

  • Are we using the right tools?

  • Are we using the right metrics?

  • PII must be accessible to employees, not to AI Engines

  • All actions must be auditable

Results
Faster Loan Analytics
      Before: Bank managers wait 2-3 days for database queries to identify loan defaults.
      After: Managers wait 5 seconds for the same info. 

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  • Security and Compliance at full PII containment

  • Risk Mitigation through early detection of high-risk loans

  • Auditable, 100% full-interaction audit logs


This project demonstrates AIGorilla Systems ability to keep a human in the loop, connect AI with sensitive enterprise data, and protect sensitive information. The same architecture can support universities, municipalities, and other organizations that need AI tools.

nueveLogo

Nueve Solutions is AIGorilla’s 14-year technical development partner. AIGorilla Systems designs the AI strategy and business application. Nueve Solutions provides the technical architecture, cybersecurity, infrastructure, and development required to deploy it securely. After 14-years working together, we operate as one development team.

AI Tools that AIGorilla and Nueve have developed together:
•    Engineered cooperative, a 3-agent AI systems capable of multi-source database queries, automated synthesis, and context-aware responses
•    An AI sandbox used to test output before anything goes live
•    An interface designed for high concurrent use
•    An agent that publishes approved content to approved channels
 

During the partnership, we have worked together on projects on 4 continents. Ravi’s team of Austin-based AI architects, specialize in bank-grade cybersecurity. His employees help automate digital banking, APIs, hosting, security, and deployment for banks and credit unions. They use USA based employees. Data stays in the USA. Their experience with financial institutions brings bank-grade security and compliance experience to AIGorilla Systems. Together, we are building secure AI products. Learn more about Nueve Solutions here.

 

Published 9-24-2026 by Steve Huskey
 

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