Rudy Lai

AI @ 3M

Industrial products and technology
Industry
Last updated
July 3, 2025 at 10:44 AM

Summary

  • 3M has progressively integrated AI into manufacturing, healthcare, sales, and R&D processes since 2018, moving from traditional AI use in predictive healthcare and supply chain to advanced generative AI applications in clinical documentation and material science innovation by 2025.
  • Key leaders like Paul Cardno and Rob Banovetz have driven an AI-first strategy, investing $3.5 billion in R&D focusing on AI-driven product innovation, digital materials platforms, enhanced revenue cycle management, and AI-powered factory optimization.
  • 3M's AI adoption demonstrates strong maturity with diverse applications including automating complex clinical and manufacturing problems, improving sales forecasting with Azure ML, deploying conversational AI with AWS, and leveraging machine learning for energy-efficient manufacturing and denial management, indicating increasing investment and strategic focus on AI-led transformation.

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7 AI Use Cases at 3M

Factory Optimization
2025
Traditional
Generative
Agentic
Outcome
Costs
3M has implemented intelligent factory systems using AI to optimize production efficiency, improve safety by monitoring operational conditions, and reduce runtime errors. [1]
Supply Chain Optimization
2024
Traditional
Generative
Agentic
Outcome
Costs
3M applies AI and machine learning extensively across its supply chain to detect inefficiencies, optimize inventory, and reduce costs in manufacturing and logistics. [1]
Clinical Denial Management
2024
Traditional
Generative
Agentic
Outcome
Risk
Machine learning models are integrated into clinical workflows to predict and manage front-end clinical denials, enhancing revenue and reducing operational risk. [1]
Clinical Documentation
2023
Customer Facing
Traditional
Generative
Agentic
Outcome
3M employs generative AI and conversational AI technologies, including M*Modal acquisitions and AWS partnerships, to automate medical note-taking and reduce documentation burden on clinicians, improving care delivery. [1][2][3]
Sales Forecasting
2022
Traditional
Generative
Agentic
Outcome
Revenue
3M uses automated and standardized sales forecasting powered by Azure Machine Learning to improve accuracy and accelerate the sales planning process. [1]
Material Innovation
2022
Traditional
Generative
Agentic
Outcome
Revenue
In collaboration with Argonne National Lab, 3M uses machine learning to optimize material manufacturing processes, enhancing energy efficiency and product performance. [1]
Revenue Cycle Management
2020
Traditional
Generative
Agentic
Outcome
Costs
3M deploys speech and AI-powered clinician-assistive solutions to reduce administrative burden in healthcare revenue cycles, improving accuracy and operational efficiency. [1]

Timeline

2025 Q3

1 updates

3M’s AI strategy focuses on embedding intelligence across operations to dominate material science innovations, efficiency and product velocity.

2025 Q2

2 updates

3M advances AI-first transformation strategy demonstrated at the 3M Open golf event with Perficient and Salesforce partnership; smarter factory systems enhance production and safety.

2025 Q1

3 updates

3M announces $3.5 billion R&D investment for 2025-2027 focusing on AI-driven innovation, including launching a digital materials hub with 300+ product model combinations.

2024 Q4

1 updates

Paul Cardno, 3M's global digital innovation lead, states AI is reserved for complex problems unsolvable by other means, reflecting a strategic and precise AI application approach.

2024 Q3

2 updates

3M revolutionizes operations using AI and generative AI across manufacturing, supply chain, and clinical denial management to reduce costs and enhance efficiency.

2024 Q2

2 updates

3M expands AI initiatives significantly in manufacturing, healthcare, and other sectors, emphasizing transformative impact of AI/ML.

2024 Q1: no updates

2023 Q4

1 updates

3M discusses AI knowledge and large language model (LLM) safety on its internal blog, suggesting a deep engagement with advanced AI ethics and research.

2023 Q3: no updates

2023 Q2

4 updates

3M partners with Telefónica Tech and AWS to deploy conversational AI for optimizing hospital emergencies and automating medical note-taking.

2023 Q1

1 updates

3M embraces AI and machine learning in various business areas to optimize operations and product innovation.

2022 Q4: no updates

2022 Q3: no updates

2022 Q2

2 updates

3M standardizes and accelerates sales forecasting using Microsoft Azure Machine Learning; introduces AI evangelism for clinical documentation improvements.

2022 Q1

1 updates

Collaboration with Argonne National Lab using machine learning to enhance material manufacturing energy efficiency.

2021 Q4: no updates

2021 Q3: no updates

2021 Q2: no updates

2021 Q1: no updates

2020 Q4: no updates

2020 Q3: no updates

2020 Q2

1 updates

3M develops speech and AI-powered clinician-assistive solutions to reduce technical burdens in healthcare revenue cycle management, improving time to care.

2020 Q1: no updates

2019 Q4

1 updates

3M uses machine learning via AWS to innovate both existing products like sandpaper and new product development.

2019 Q3: no updates

2019 Q2: no updates

2019 Q1: no updates

2018 Q4: no updates

2018 Q3: no updates

2018 Q2

1 updates

3M selects C3.ai as strategic AI software platform to deploy AI-based applications starting with predictive healthcare and supply chain analytics.