Financial ServicesConversational AIPublic Cloud

First Abu Dhabi Bank speeds up HR tasks with Oracle's AI chatbot

First Abu Dhabi Bank· United Arab EmiratesOracle Digital Assistant · Oracle Fusion Cloud HCM · Cohere AI models

First Abu Dhabi Bank (FAB) partnered with Oracle to develop an AI-powered HR chatbot using Oracle Digital Assistant and Cohere AI models on dedicated AI clusters, built in just four months using Oracle Digital Assistant's sandbox environment. The chatbot automates leave, salary, and other HR tasks, delivering conversational HR information that has helped improve efficiency, reduce costs, and accelerate HR processes.

Overview

First Abu Dhabi Bank (FAB) partnered with Oracle to develop an AI-powered HR chatbot using Oracle Digital Assistant and Cohere AI models on dedicated AI clusters, built in just four months using Oracle Digital Assistant's sandbox environment. The chatbot automates leave, salary, and other HR tasks, delivering conversational HR information that has helped improve efficiency, reduce costs, and accelerate HR processes.

This entry has 15 published fields tied to exact passages in an immutable source capture.

Inspect the highlighted source

The challenge

After migrating legacy systems to the cloud and integrating Oracle Fusion Cloud HCM, First Abu Dhabi Bank wanted to infuse AI across its HR systems to drive end-to-end automation and make HR workflows more efficient.

The solution

FAB partnered with Oracle to develop an AI-powered HR chatbot using Oracle Digital Assistant and Cohere AI models on dedicated AI clusters. Oracle Digital Assistant's flexible sandbox environment helped facilitate rapid testing and development of the chatbot in just four months. The chatbot automates leave, salary, and other tasks, delivering clear, conversational HR information.

Conversational AIGenerative AI

Reported business value

The chatbot has helped improve efficiency, reduce costs, and accelerate HR processes, contributing to a better work environment, and was built and tested in just four months.

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