Financial ServicesDocument IntelligenceOn-Premise

Íslandsbanki cuts legal document review time 5-10x with a Microsoft Copilot Studio AI agent

Íslandsbanki· IcelandMicrosoft 365 Copilot · GitHub Copilot · Microsoft Azure +2

Íslandsbanki, an Icelandic bank subject to full EU/EEA financial regulation, deployed Microsoft 365 Copilot, GitHub Copilot, Copilot Studio and Microsoft Foundry to embed AI across the organization while meeting strict compliance requirements. Its legal services team built a Copilot Studio agent that generates an initial draft and supports review of legal documents, cutting document-handling and processing time by an estimated five to ten times, while active AI usage reached 95% of employees monthly and 86% weekly.

Overview

Íslandsbanki, an Icelandic bank subject to full EU/EEA financial regulation, deployed Microsoft 365 Copilot, GitHub Copilot, Copilot Studio and Microsoft Foundry to embed AI across the organization while meeting strict compliance requirements. Its legal services team built a Copilot Studio agent that generates an initial draft and supports review of legal documents, cutting document-handling and processing time by an estimated five to ten times, while active AI usage reached 95% of employees monthly and 86% weekly.

This entry has 16 published fields tied to exact passages in an immutable source capture.

Inspect the highlighted source

The challenge

Íslandsbanki's early adoption of AI needed stronger guardrails to maintain regulatory compliance with strict governmental financial requirements; as a small bank it faces the same EU/EEA regulatory burden as much larger institutions, and pilots with several AI providers couldn't be used directly in everyday processes due to compliance issues or deliver the capabilities needed for its regulatory burdens, while adoption lagged outside isolated developmental pilots.

The solution

Building on its existing Microsoft 365 and GitHub Copilot licenses, Íslandsbanki deployed Microsoft 365 Copilot, Azure, Microsoft Copilot Studio and Microsoft Foundry. Business and IT teams used Copilot Studio to build custom AI agents automating business processes, and Microsoft Foundry provided a separate, governed environment to build and test AI solutions against compliance requirements before wider rollout. Its legal services team used Copilot Studio to build an agent that drafts and supports review of legal documents.

Document IntelligenceAgentic AICode Generation

Reported business value

Íslandsbanki's legal document-handling and processing times decreased by approximately five to ten times using a Copilot Studio agent, developers increased the speed of software development and delivery with GitHub Copilot, and the bank reached close to 95% monthly active users and about 86% weekly active users across its Copilot rollout.

Sources

Open any source and check the claim yourself — that is the point of the register.

This record was researched and written with AI assistance, and its claims were checked against the sources above. (EU AI Act art. 50 transparency notice.)

Related entries

Other financial services entries in the register.

All entries
Financial ServicesGenerative AIPublic Cloud

Navy Federal Transforms Service With AI

Navy Federal Credit Union is reshaping banking for military members by unifying data and leveraging generative and agentic AI on the Databricks Data + AI Platform. By embracing AI-augmented workflows and upskilling teams, Navy Federal delivers customized services while streamlining productivity through responsible change management and data readiness.

96/100HighPrimary source
Navy Federal Credit UnionDatabricks
Financial ServicesDocument IntelligencePublic Cloud

Lloyds Banking Group cuts mortgage income verification from days to seconds with ML

Lloyds Banking Group, the UK's largest digital bank, migrated 15 modelling systems from on-premise infrastructure to Google Cloud's Vertex AI (now Agent Platform), giving over 300 data scientists and AI developers scalable machine learning capabilities. In six months the bank ran 80 new ML experiments and launched 18+ GenAI systems into production, including an algorithm that reduces the income verification step in mortgage applications from days to seconds. The migration also cut unplanned ML platform downtime to zero and saved 27 CO2 tonnes of operational emissions.

96/100HighPrimary source
Lloyds Banking Group· United KingdomGoogle Cloud Vertex AI · Gemini Enterprise Agent Platform · BigQuery +5
Financial ServicesGenerative AIPublic Cloud

Banking Innovator bunq Supports Growth, Strengthens Security Using AWS

bunq, a Dutch neobank with over 11 million users across Europe, uses Amazon Bedrock for several generative AI use cases including summarizing new user data with large language models, removing the need for agents to process onboarding documents manually. Using Amazon Bedrock, bunq tripled user support process efficiency while maintaining over 90 percent accuracy. Sensitive data stays within bunq's AWS virtual private cloud, supporting GDPR and PCI DSS compliance alongside tools such as AWS CloudHSM, AWS Security Hub and AWS KMS.

100/100HighPrimary source
bunq· NetherlandsAmazon Bedrock · AWS CloudHSM · AWS Security Hub +1
Financial ServicesMachine LearningPublic Cloud

TBC Bank Operationalizes Trusted Data with Lakebase

TBC Bank, the largest banking group in the Caucasus region, built a Lakehouse on Databricks and adopted Lakebase and Databricks Apps to move from on-premises SQL Server instances and month-long reporting cycles to self-service analytics and AI-driven applications, including a web-based AI chatbot and AutoML-based credit risk scoring. Credit risk model deployment fell from 14 weeks to two days, and more than 600 users regularly query governed data through Genie.

96/100HighPrimary source
TBC Bank· GeorgiaDatabricks Platform · Lakebase · Databricks Apps +4

Was this helpful?

Your feedback helps us improve our use case database