AI Use Cases Hub

Where AI Copilots Are Deployed

AI Copilots are transforming how people work. From Microsoft 365 Copilot helping with documents and meetings, to GitHub Copilot accelerating development, to custom copilots built for specific processes—these AI assistants are becoming essential workplace tools.
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Data as of Sep 13, 2026
Dataset details
Revision
dsr-35e5ccd3a0a8e8ac
Canonical records
3,979

Executive brief

Copilot & AI Assistants ranks #4 of 9 peers on 6-month momentum (Emerging).

Show metrics

Cases

22

1 in the last 6 months

Momentum

31Emerging
#4 of 9Peer momentum

Innovativeness

3.3Differentiated

100% of evidence scored

Cases trend

Cases 1Agent 1
How this executive brief is measured

Concentration compares this view's share of source-linked deployments for a use-case type with that type's share across the full catalog. Momentum is a peer-relative 0-100 score based on recent deployment volume, acceleration, recent evidence share, and evidence depth. Quantified outcome medians appear only when at least 4 reported metrics support them; smaller supported samples are marked early evidence.

Implementation

Do teams build, buy, or compose this?

How the documented deployments in this view were built — custom engineering (Build), an off-the-shelf assistant (Buy), or low-code assembly (Compose).

20 classified cases
BuildBuyComposeMixed

20 of 22 cases classified (91%) · Compare all use-case types

Full report

Expand any section for the detail behind the summary above.

Reported challenge examples: ABN AMRO Bank faced outdated chatbot infrastructure with high maintenance and scaling costs, limited natural language understanding performance especially for Dutch, and high drop-off and transfer rates for customer and employee chatbots (1 case), Administrative burden from manual contract review slowed productivity (1 case), Administrative complexity and inefficiency in daily operations (1 case), Administrative tasks took time away from legal analysis and client-facing work (1 case), and Agent training was lengthy and resource-intensive (1 case). Evidence is still limited; expand to inspect the source cases.

Adoption pulse: 1 of the 22 cases in this view were published in the last 6 months. Expand for the adoption curve.

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