AI case study

Streamlined process automation

by
Bank of Queensland
Context

Deployed Microsoft Copilot integrated with Microsoft Azure and Microsoft 365 to automate drafting, reporting, training material creation, and meeting note taking, enabling employees to focus on higher-value tasks through secure, compliant workflow automation and continuous feedback

Results

Decreased internal manuals drafting time by 99%; training materials creation time cut by 96%; report planning reduced by 93%; marketing content lowered by 88%; RCA time reduced by 51.8% with 22% quality boost; HR content drafting reduced by 75%; meeting notes save ~2 hours per activity; productivity gain equivalent to 120 employees; efficiency improved by 1h/day

Results not reported in the source
Industry
Finance
Region
Oceania
Published
December 27, 2024
Agent type
Employee Agents
AI provider
Microsoft
Models/tools
Not disclosed
ICE score
648
The ICE framework in this database provides a quick way to assess the feasibility and potential impact of AI use cases, with higher scores signaling more actionable opportunities.

Impact: Potential benefits to the business.

Confidence: Likelihood of achieving expected results.

Ease: Simplicity of implementation in terms of resources and time.

ICE Score: Calculated by multiplying the component scores.

Note:
Each score is AI-generated based on available data and should be viewed merely as a general guideline for deeper exploration of the use cases.
Impact
9
Confidence
9
Ease
8

71

AI use cases in

Finance

See All

Nubank

Finance
Use case
Scalable customer support
Context

Nubank implemented a custom AI-driven enterprise search solution by integrating GPT‑4o and GPT‑4o mini with fine-tuned domain-specific models and Retrieval-Augmented Generation techniques, enabling employees to access FAQs, policies, and internal documents rapidly. They also developed a call center copilot using GPT‑4o that integrates the bank’s knowledge base and chat history to provide real-time conversation summaries, next-reply suggestions, and step-by-step guidance for agents, and launched an AI assistant to handle Tier 1 inquiries. Furthermore, Nubank piloted a fraud quality assurance system using GPT‑4o vision to analyze transactions and visual data, ensuring robust fraud detection according to regulatory requirements.

Endex

Finance
Use case
Automated financial analysis
Context

Endex built an AI Analyst platform that leverages OpenAI's reasoning models (GPT‑4o, o1‑mini, o1‑preview, o3‑mini, and o1 vision) to retrieve, analyze, and synthesize complex financial data. The solution integrates internal data, public disclosures, and financial reports to automate processes such as due diligence, earnings analysis, and investment committee memo preparation using reinforcement learning fine-tuning and performance tracking, transforming traditional manual workflows into streamlined AI-driven processes.

Models/tools

Rogo

Finance
Data Agents
Quick win
Use case
Automated financial research
Context

Rogo, an AI finance platform, uses OpenAI's GPT-4 to provide real-time financial intelligence to investment professionals, automating tasks like meeting prep, company profiling, and market research. By fine-tuning OpenAI's models and integrating financial datasets like S&P Global, Crunchbase, and FactSet, Rogo helps shift focus from manual work to high-value decision making.

Models/tools
...
1
Explore industries

295

companies using

Employee Agents

See All
Use case
Building learning tools and making content
Context

Super Teacher integrated Anthropic's Claude to generate initial code for interactive educational tools and draft lesson plans for subjects ranging from pre-K to 5th grade. They embedded the AI into both software development and content creation workflows with mandatory human review to ensure safety and quality standards. This integration streamlined operational processes, enabling engineering and content teams to focus on higher-level development and creative enhancements.

Models/tools
...
1
Use case
Fast registration & safety
Context

704 Apps implemented an AI solution using Vertex AI and Gemini 1.5 Pro to automate and accelerate driver identity verification and safety monitoring. They integrated these AI models into their existing cloud infrastructure built on Firebase and Google Kubernetes Engine, centralizing real-time data for document validation and audio sentiment analysis. The system alerts the central monitoring team when risk-related language is detected, streamlining operational decision-making and enhancing security.

Models/tools
...
2
Use case
Efficient data handling
Context

LY Corporation leveraged OpenAI’s API to integrate advanced generative AI into its flagship services, including a GPT‑4o-powered LINE AI Assistant and GPT‑4 enhancements in Yahoo! JAPAN Search for summarizing reviews and generating travel plans. They also deployed SeekAI, an in-house productivity tool using RAG to rapidly retrieve information from internal documentation, streamlining employee inquiries and operations.

Models/tools
...
2
Explore agents

226

solutions powered by

Microsoft

See All
Use case
Multilingual reading difficulties
Context

The school deployed Microsoft Reading Progress and Microsoft Immersive Reader, two AI-powered apps integrated within Microsoft Teams, to support individualized learning. The tools record reading sessions, provide real-time feedback on pronunciation and errors, and translate texts to enable comprehension across multiple languages. This setup streamlines classroom instruction, personalizes student learning, and reduces teacher workload.

Models/tools
...
2
Use case
Faster customer issue resolution
Context

Vodafone uses Azure OpenAI Service, Azure AI Foundry, Microsoft Copilot, and Azure AI Search to enhance their virtual assistant TOBi and develop SuperAgent to assist customer service agents. TOBi uses conversational AI to handle customer inquiries, while SuperAgent helps agents solve complex problems faster.

Models/tools
...
4
Use case
Faster oncology data extraction
Context

Ontada leveraged Microsoft’s Azure OpenAI Service Batch API and Azure AI Foundry to build its ON.Genuity platform, which processes 150 million unstructured oncology documents to automatically extract nearly 100 critical data elements across 39 cancer types. They integrated the new platform with their structured iKnowMed system using Azure Databricks for data ingestion and Azure Document Intelligence for text extraction, transforming manual chart review processes into an automated workflow that supports clinical decision-making and life science product development.

Models/tools
...
4
Explore AI providers

14

AI use cases in

Oceania

See All
Use case
Real-time whale detection
Context

The University of Sydney uses Claude Opus from Anthropic to analyze vast amounts of acoustic data in real time for whale conservation. By transforming underwater sound recordings into spectrograms and using Claude's advanced visual recognition capabilities, they achieved 89.4% accuracy in detecting minke whales, compared to 76.5% with traditional methods. This real-time analysis replaces manual processes that took weeks, allowing conservation teams to act when and where it matters most.

Models/tools
...
1
Use case
Efficient edge AI deployment
Context

Coles uses Azure Stack HCI and Azure Machine Learning to build an intelligent edge backbone, improving management of applications and AI/computer vision use cases across 500+ stores.

Models/tools
...
2
Use case
Simplifying data access
Context

Xavier College implemented Microsoft Dynamics 365 and AI tools like Azure OpenAI and Cognitive Services to consolidate data, streamline processes, and enhance productivity. They migrated all student and staff data onto Microsoft Azure, built user portals with Dynamics 365, and used AI to automate digitizing paper records.

Models/tools
...
7
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Thoughts & ideas