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KREDA, credit union group

From shadow AI to secure AI at scale

KREDA, a credit union group, needed AI that could handle 200MB Excel files with macros and draft 250+ page policy documents - without any sensitive financial data ever leaving their own environment. Within the first weeks, policy drafting dropped from weeks to days, and shadow AI was replaced by a single governed platform.

Client KREDA Sector Financial services - credit union group Size 14 member credit unions, ~€559M assets under management Solution Moterra Business AI Suite - Internal Knowledge, Data Analytics and Content Writing Assistants
Results First weeks
~85% Less policy drafting time 250+ page documents that took two to three weeks now take two to three days.
Hours → minutes Complex file analysis 200MB+ Excel files with macros analysed in minutes, not a full afternoon.
One platform Shadow AI replaced Ad-hoc use of public AI tools consolidated into a single governed, private, auditable environment.
01

The situation

KREDA operates in a highly regulated sector, which means risk, compliance and policy teams work with two things constantly: large volumes of complex financial data, and long-form regulatory documents. Internal policies routinely run to 250+ pages, and risk analysts regularly work with 200MB+ Excel files with embedded macros pulled from SharePoint. Drafting and analysis were both bottlenecks - and the most sensitive work involved client credit data that could not be sent to any external tool.

02

What they tried before

Employees had started using public AI tools on their own initiative. In a regulated financial institution, that was not sustainable: the data involved - client credit information, internal risk datasets, unpublished policies - simply could not leave KREDA’s environment. Existing tools also did not reach into the SharePoint repositories where the actual work lived, so complex Excel files and policy precedents still had to be opened and read manually.

03

What Moterra deployed

Moterra deployed the Moterra Business AI Suite as a private AI platform inside KREDA’s own cloud environment, integrated with Microsoft SharePoint and Entra ID so that every answer respects existing permissions. Three assistants were rolled out, and every workflow is designed around a clear principle: AI drafts, humans decide.

Internal Knowledge AssistantHandles complex Excel files and surfaces policy precedents from SharePoint, permission-aware, so precedent is available instantly instead of being hunted for.
Data Analytics AssistantLets risk teams work with confidential credit and regulatory data inside the private environment, producing risk assessment insight and visualisations for portfolio management and compliance reporting.
Content Writing AssistantPurpose-built for drafting long-form policies, procedures and regulatory submissions, with consistent formatting throughout.
04

The result

Policy documents that used to take two to three weeks are now drafted in two to three days. Analysis of 200MB+ Excel files dropped from hours to minutes. Just as importantly, ad-hoc use of public AI tools was replaced by a single governed platform, with all sensitive data staying inside KREDA’s own infrastructure. KREDA’s CISO Marius Beliūnas shared the story on stage at the AI in Financial Services Conference in London, alongside Moterra’s CEO Vytenis Sakalas and Key Account Manager Oli Brown - covering both the search for a truly secure AI tool in regulated financial services, and the practical playbook for training employees to use AI correctly.

In their words

"If your company does not have AI, it does not mean your employees do not have it either. In a regulated financial institution, that is not a strategy - that is a risk. We needed a partner who could give us AI that meets our security criteria, not one we had to hope for the best with."

Marius Beliūnas Marius Beliūnas CISO, KREDA
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