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BMO

BMO

A reporting-period timeline of the company’s AI and machine-learning disclosures, grounded in official investor materials and exact source excerpts.

Investment and spendRisk and governanceAI strategy
Reporting history

AI disclosures by reporting period

Documents with no explicit AI/ML evidence are shown as such. Silence is not interpreted as inactivity.

Earnings release

BMO results filing filed 27 May 2026

SEC EDGAR

Reporting period ended 27 May 2026

Primary source
No explicit AI or machine-learning disclosure was found in this results document.
Investor presentation

BMO results filing filed 27 May 2026

SEC EDGAR

Reporting period ended 30 Apr 2026

Primary source

BMO has established the BMO Institute for Applied Artificial Intelligence & Quantum to focus on the responsible application, governance, and oversight of AI at scale. The institution is also focusing on supporting its clients as they integrate AI into their companies and households. Additionally, BMO identifies technological change, including the use of data and artificial intelligence, as a risk factor that may affect future results.

Investment and spendNew disclosure

BMO establishes the BMO Institute for Applied Artificial Intelligence & Quantum

BMO has recently established the BMO Institute for Applied Artificial Intelligence & Quantum. This new institute is dedicated to the responsible application, governance, and oversight of AI at scale, and intends to support clients as they integrate AI into their households and businesses.

we recently established the BMO Institute for Applied Artificial Intelligence & Quantum , dedicated to the responsible application, governance and oversight of AI at scale, and support our clients as they integrate AI into their companies and households.

Context: Darryl White, CEO of BMO Financial Group

Risk and governanceContinuing

AI and technological change identified as risks affecting future results

BMO monitors technological change, including the use of data, artificial intelligence, and generative AI within its business, as part of its risks that may affect future results. Additionally, operational non-financial risk policies are designed to manage artificial intelligence risk.

technological change, including the use of data and artificial intelligence (AI) in our business, including generative AI;

Context: Top and Emerging Risks That May Affect Future Results section

Investor presentation

BMO results filing filed 27 May 2026

SEC EDGAR

Reporting period ended 27 May 2026

Primary source

BMO has recently established the BMO Institute for Applied Artificial Intelligence & Quantum to focus on the responsible governance, oversight, and application of AI at scale. The bank has also identified technological change, including the integration of data, artificial intelligence, and generative AI, as a key risk factor that could affect its operations.

AI strategyNew disclosure

Establishment of BMO Institute for Applied Artificial Intelligence & Quantum

BMO has launched the BMO Institute for Applied Artificial Intelligence & Quantum to oversee the responsible deployment and governance of AI at scale, while helping clients integrate AI into their households and businesses.

we recently established the BMO Institute for Applied Artificial Intelligence & Quantum , dedicated to the responsible application, governance and oversight of AI at scale, and support our clients as they integrate AI into their companies and households.

Context: Darryl White, CEO of BMO Financial Group

Risk and governanceContinuing

Identification of generative AI and data usage as technological risk factors

BMO has formally recognised technological change, specifically highlighting the use of data, AI, and generative AI within its business operations, as a risk factor that could impact its performance.

technological change, including the use of data and artificial intelligence (AI) in our business, including generative AI;

Context: Forward-looking statements risk factors

Annual report

BMO annual report filed 4 Dec 2025

SEC EDGAR

Reporting period ended 31 Oct 2025

Primary source
No explicit AI or machine-learning disclosure was found in this results document.