AI case study

Streamlined executive operations

by
Brandix
Context

Brandix adopted the Microsoft 365 Copilot suite via the Early Access Program to integrate AI into key executive workflows, automating meeting transcript-based action tracking in Teams, accelerating pitch deck creation in PowerPoint, and streamlining document generation in Word while leveraging AI-enhanced querying in Power BI and efficient information retrieval via Copilot Chat. This implementation transformed internal communications, reporting, and presentation preparation processes by significantly reducing manual effort.

Results

Tangible productivity gains

Results not reported in the source
Region
Global
Published
March 10, 2025
Agent type
Employee Agents
AI provider
Microsoft
ICE score
448
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
8
Confidence
8
Ease
7

23

AI use cases in

Manufacturing & Construction

See All

PGP Glass

Manufacturing & Construction
Use case
Faster response time
Context

PGP Glass integrated Microsoft 365 Copilot into its internal operations to automate routine tasks such as document summarization, email drafting, meeting minutes preparation, and file management. The implementation involved deploying the tool across diverse communication and administrative workflows, reducing manual tasks and enabling employees to focus on strategic priorities. This AI-driven transformation enhanced both internal and external stakeholder communication by minimizing response delays.

Models/tools

Aurigo

Manufacturing & Construction
Code Agents
Quick win
Use case
Rapid code prototyping
Context

Aurigo integrated GitHub Copilot into their development environment to automate code snippet generation from natural language comments. They implemented the tool within their prototyping workflows to generate unit tests, streamline documentation of legacy code, and reduce boilerplate coding, thereby accelerating early-stage development. This approach streamlined the prototyping process and improved team onboarding.

Models/tools

Dow

Manufacturing & Construction
Use case
Accurate shipping invoicing
Context

Dow implemented Microsoft 365 Copilot to empower teams with AI-driven insights and automate freight invoice analysis. They deployed two supply chain agents – a prompt-and-response agent for real-time invoice review and an autonomous agent via Copilot Studio to process PDF invoices automatically, integrating these into logistics operations to optimize billing and cost management. This solution streamlined workflows and improved process accuracy across departments.

Explore industries

316

companies using

Employee Agents

See All
Use case
Faster internal workflows
Context

Quantium deployed Anthropic's Claude across its organization to empower over 1200 employees in functions such as coding, proposal drafting, training development, and leadership coaching. They implemented the AI solution by launching an "ALL IN on AI" strategy with clear guidelines, practical guardrails, and comprehensive hands-on training programs integrated into daily workflows. This approach streamlined routine tasks and enabled teams to focus on strategic initiatives.

Models/tools
...
1
Use case
Actionable workspace content
Context

Notion reimagined its platform by deeply integrating OpenAI’s GPT‑4o, GPT‑4o mini, and embeddings across its core features. They prototyped an AI writing assistant during a hackathon and then built internal tools to rapidly evaluate and deploy new models, transforming workflows in search, note-taking, and knowledge management from static content to interactive, actionable insights.

Models/tools
...
2
Use case
Accelerate creative iteration
Context

Canva integrated Claude for Work into its design, engineering, and product development workflows to enable employees to rapidly prototype designs, generate code, and create polished content without specialized tools. They implemented a multi-vendor AI ecosystem supported by internal training programs, Slack channels for sharing AI successes, and guidance from their internal AI Solutions team, fundamentally transforming creative and collaborative processes across the organization.

Models/tools
...
1
Explore agents

251

solutions powered by

Microsoft

See All
Use case
High-volume student queries
Context

Physics Wallah developed 'Gyan Guru', a hyperpersonalized conversational study companion to address the unique academic and support needs of its 2 million daily users. The system was implemented by indexing over one million Q&As and ten million solved doubts in a vector database, then leveraging a Retrieval-Augmented Generation (RAG) approach integrated with Azure OpenAI to deliver individualized, context-aware responses. This integration streamlined various student interactions including academic queries, product-related issues, and general support, reducing reliance on human subject matter experts.

Models/tools
...
1
Use case
Future-proof IT operations
Context

University of Oxford’s IT Services department deployed Microsoft 365 Copilot across its 400+ staff as part of a pilot program aimed at embedding generative AI into research, teaching, and administrative workflows. They implemented extensive onboarding sessions, community engagement via Microsoft Teams, and established an acceleration team to integrate Copilot with other business applications. This deployment streamlined routine tasks such as document generation, summarization, and meeting support, fostering innovation within the department.

Models/tools
...
1
Use case
Streamlined workflow management
Context

Wipro integrated Microsoft 365 Copilot to enable natural language commands and real-time suggestions across Microsoft applications, automating document management and proposal creation. They also deployed GitHub Copilot for developers and utilized Azure OpenAI to drive generative AI transformation across the enterprise, integrating these tools into existing business workflows. This comprehensive implementation improved internal collaboration and expedited processes for presales, sales, marketing, and development teams.

Models/tools
...
3
Explore AI providers

162

AI use cases in

Global

See All
Use case
Faster internal workflows
Context

Quantium deployed Anthropic's Claude across its organization to empower over 1200 employees in functions such as coding, proposal drafting, training development, and leadership coaching. They implemented the AI solution by launching an "ALL IN on AI" strategy with clear guidelines, practical guardrails, and comprehensive hands-on training programs integrated into daily workflows. This approach streamlined routine tasks and enabled teams to focus on strategic initiatives.

Models/tools
...
1
Use case
Faster finance/legal research
Context

Hebbia built Matrix, a multi-agent AI platform that orchestrates OpenAI models including o3‑mini, o1, and GPT‑4o to automate complex financial and legal research tasks. The platform decomposes intricate queries into structured analytical steps and integrates modules like OCR, hallucination validation, and artifact generation to process complete documents, creating an infinite effective context window. This solution streamlines due diligence, contract review, and market research workflows, drastically reducing manual processing time.

Models/tools
...
3
Use case
Unlocking travel discovery
Context

Booking.com integrated OpenAI’s GPT models with its extensive proprietary data on properties, pricing, and availability to develop an AI Trip Planner that converts natural language queries into personalized itineraries. The team rapidly built the solution in 10 weeks by leveraging existing ML infrastructure and fine-tuning the model on both structured and unstructured data, which also powered additional tools like Smart Filters, Property Q&A, and AI Review Summaries. This innovation transformed travel discovery, search, and customer support processes.

Models/tools
...
1
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Thoughts & ideas