CIO
Does This Use Case Really Need an AI Agent?
Agentic AI promises the same value as other AI but is harder to deliver and riskier. Four questions, based on 600 agentic use cases, tell you when an agent is worth it.
Use Case Library
Start your AI portfolio from what already works.
4,980 AI use cases, each linked to a business capability, scored on value, feasibility and risk, and given benchmark ranges based on real-world implementations.
Filter by industry, business function, AI domain, label and risk level. Every use case shows:
- What happens today and what the AI does
- Benchmark ranges for the benefits it can bring
- How the work of the people involved changes
100 of them are public here. The full Library is available to MetroMinds customers.
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Explore AI use cases
Benchmarked use cases with value, feasibility and risk scores
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- Insurance
AI domain
- Content Discovery0
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- Simulation0
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- Low (1 to 2)
- Medium (3)
- High (4 to 5)
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Document IntelligenceScale now
How a Customer Operations Manager Establishes Loss Facts at First Notice
Insurance (P&C and Life) · Service Fulfillment
4Value4Feasibility4RiskReview time reduction 25% to 45%
Guided Case HandlingPark / rethink
How the Claims Handler Tests Policy Wording Against an Ambiguous Damage Claim
Insurance (P&C and Life) · Service Fulfillment
3Value3Feasibility5RiskHandling time reduction 15% to 35%
Policy ReasoningPark / rethink
How the Claims Policy Specialist Rules on a Complex Coverage Claim
Insurance (P&C and Life) · Regulatory Compliance & RegTech
2Value3Feasibility5RiskHandling time reduction 15% to 35%
Every use case comes with the evidence you need.
Use Case LibraryUse caseDemo environmentDocument Intelligence · Perception
How a Customer Operations Manager Establishes Loss Facts at First Notice
Insurance (P&C and Life)Scale now
DescriptionBenchmark metricsWorkforceProfiles & Readiness
The work today
A first notice of loss reaches the claims desk, and the Customer Operations Manager opens the claims evidence bundle that must be read before the file moves. In Insurance the bundle arrives from several hands at once, for example a repairer estimate, a police report, photographs from the policyholder, and administrator forms.
Benchmark metrics
| Metric | Low | Mid | High |
|---|---|---|---|
| Review time reduction | 25% | 35% | 45% |
| Error rework reduction | 15% | 22.5% | 30% |
| Straight through processing increase | 10% | 17.5% | 25% |
Workforce impact
Customer Operations Manager spends less time opening the claims evidence bundle, locating fields, checking tables, and retyping values. Manual sorting also declines because document classification happens before the review queue.
Scores
4Business value4Feasibility4Risk
Business capability
L1Operations and DeliveryL2Service FulfillmentL3Case and Exception Handling
- The work it changes.
A plain description of the task, the role and the decision involved.
- Benchmark ranges.
Low, mid and high improvement per metric, such as handling time or rework.
- Value, feasibility and risk.
Scores on a five-point scale, explained by the dimensions behind them.
- Impact on roles.
Which tasks shrink, which grow and which skills the role needs.
- Capability.
Where the use case sits in your business, from level 1 to level 3.
Every use case follows this structure, whether it comes from the Library or from your own teams. That is what makes two ideas comparable on their evidence instead of on how well they were pitched.
Explore the public LibraryExplore the public part of the Library.
100 use cases are open to everyone, spread across all 13 industries and all 12 AI domains. The full Library is available to MetroMinds customers.
Twelve kinds of AI, eighty-three labels.
Content discovery is the largest domain, with 780 use cases. Agentic AI and prediction follow with 600 each. Open a label to see in which industries it appears and how it scores.
Content discovery is the largest of twelve AI domains
Select a domain to filter the label atlas below.
Add your own ideas next to the Library.
Teams enter or import their own use cases. They follow the same structure, so every idea can be compared with every other, whether it came from the Library or from your own business.
- The same fields as the Library: business problem, role, expected outcome and owner
- Linked to a business capability from level 1 to level 3
- Scored on value, feasibility and risk on the same five-point scale
- Compared with Library use cases in one portfolio, including overlap
Contributors submit their ideas, portfolio managers decide, and every decision gets a status and a reason.
My use casesNew use caseDemo environmentMy use cases
Add an organisation use case
Same structure as the Library, so every idea can be compared
Draft
Use case titleCommercial client file refresh before credit review
Business problemRelationship managers spend hours collecting financial statements, ownership data and covenant evidence before each annual credit review. Files are often incomplete when the review starts.
Business capability (L1 › L2 › L3)Risk, Compliance and Internal Audit › Credit Risk Management › Credit Assessment and Monitoring
Primary roleRelationship Manager
AI domainContent Discovery
Expected outcomeComplete, current client files at the start of each review, with gaps flagged two weeks in advance.
Value driverHandling productivity
Business ownerHead of Commercial Credit
Save draftSubmit to portfolio
CIO
How Many Times Is Your Organisation Paying for Document AI?
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