AI agent readiness scorecard

Your first AI agent starts here

Most AI pilots stall on the wrong use case, not the technology. This scorecard shows you where an AI agent will actually pay off, and whether you're ready to build.

Free · 1 minute

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Manual work volume

Do you have a process that eats more than 1,000 hours a year on repetitive, rules-based tasks?

No clear candidate identified

A few processes exist but aren't quantified

At least one high-volume process is clearly identified and measured

Data accessibility

Is the data for your target process available and structurable?

Data is scattered, unstructured, or inaccessible

Data exists but needs significant cleanup or consolidation

Data is centralized, structured, or easily structurable by AI

Decision value

Would automating decisions in this process have a direct impact on revenue, cost, or risk?

The impact is unclear or marginal

Moderate impact on one business metric

High, measurable impact on revenue, cost reduction, or risk mitigation

System connectivity

Can an AI agent connect to your existing tools (ERP, CRM, email, identity systems)?

Core systems are legacy or closed, with no API access

Some systems have APIs or integration capabilities

Key systems are cloud-based or API-ready (Microsoft 365, Salesforce, SAP, etc.)

Organizational readiness

Does leadership back an AI proof of concept with an owner and a clear timeline?

No executive sponsor or allocated budget

Interest exists but no formal commitment

Executive sponsor identified, budget allocated, timeline set

Your result

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Your result

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ExplorationScopingPoC-ready

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