AI for regulated
institutions
Using AI to build software doesn't take responsibility off anyone. If we build it, we answer for it.
AI governance, service agents, document automation and internal copilots for banks, credit unions, insurers and hospitals. Deployed in your own cloud when required, with masked data, a log of every action and a person reviewing.
The Core
Problem
Your staff already uses AI, with or without a policy
Some employees paste documents into public assistants, and some teams build apps with AI without going through IT. The board asks what is in use, and nobody has the inventory.
Someone is going to ask how it's governed
When examiners, internal audit or your parent company ask how the institution uses AI, they will want a policy, a risk assessment and due diligence on every vendor. Without those, every new use case stalls in committee.
How we solve it
AI governance and readiness package
AI policy, use-case inventory, a risk assessment mapped to your regulator's framework (the CNBS in Honduras) and your parent group's standard, vendor due-diligence templates and staff training.
Service agents on WhatsApp and the web
Agents your institution owns, for account and card questions, loan prequalification and handoff to a person, with every conversation logged for audit.
Documents, KYC and claims
Credit files, know-your-customer checks, insurance claims and medical authorizations processed inside your institution's cloud, with masked data and a log of every action.
Internal copilots
Assistants for the call center, branches and compliance that answer from your institution's own policies and manuals, and show which document each answer comes from.
Shadow-AI review
We find the AI tools your staff uses without approval and review the security of apps built with AI outside IT. You get the risks and the fixes, at a fixed scope and price.
Real-World
Applications
More than one model
We work with Claude and, when needed, with the AI platform your institution already uses. Every system is designed so you can switch models without rebuilding it.
Inside your cloud when required
If data can't leave your institution, we deploy in your own cloud environment and mask personal data before it reaches the model.
Documented, with a person in the loop
Every system ships with its documentation, its action log and the points where a person approves before anything reaches a customer.
Why we are different
We apply it to our own product
In linkable.id, Claude can build on-brand pages, but they stay private until a person publishes them, it can't delete anything, and every action is logged under the requester's name.
We build with AI under a policy
Our team writes code with AI under a secure development policy: approved tools only, no customer personal data in prompts, and human review plus static analysis before every deployment.
Over a decade inside banks
We know how a vendor gets approved, how a change committee works and what an auditor asks. We design every AI use case with that review in mind.
Frequently asked questions
An AI policy, an inventory of the use cases already running in your institution, a risk assessment, due-diligence templates for AI vendors and staff training. It is sold at a fixed price. After that, each agent or automation is contracted as a fixed-price project or as part of a monthly subscription.
No. Andes Development maps the policy and risk assessment to your regulator's framework and your parent group's standard, but that mapping has to go through your legal and compliance teams before it's adopted. And everything an AI model produces needs human review.
Your institution decides, case by case. When regulation or your own policy requires it, we deploy inside your own cloud and mask personal data before it reaches the model. Every action is logged for audit.
We work with Claude and, when needed, with the AI platform your institution already has, and we manage the licenses as part of the service. Every system is designed so you can switch models without rebuilding it.
Yes. The shadow-AI review identifies which AI tools are in use without approval and checks the security of apps built with AI: access, exposed data and dependencies. It is a fixed-scope, fixed-price engagement.
Do you know which AI tools your institution uses today?
The AI governance package gives you the policy, the inventory and the risk assessment to answer that question for your board and your examiners.