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Agent Readiness Score

Answer 15 quick questions about your organization. You'll get an overall readiness score immediately — no email required. The full dimension-level breakdown and gap recommendations are emailed as a free report.

Progress0 of 15 answered

Data Foundations

Can your core business data be accessed programmatically (APIs, warehouses) rather than living in spreadsheets and inboxes?

Mostly spreadsheets, email, and tribal knowledgeSome systems have exports; no unified accessKey systems have APIs or a warehouse, with gapsMost core data is API-accessible or centralized

How would you rate the quality and consistency of the data agents would rely on?

Unknown — no one has assessed itKnown to be inconsistent across systemsGenerally reliable with known problem areasActively monitored with ownership and quality checks

Do you have role-based access controls on the systems an agent would touch?

Shared logins are commonBasic user accounts, little role separationRole-based access in most systemsGranular, audited access controls everywhere

Process Maturity

Are the processes you'd want to automate actually documented?

They live in people's headsPartially documented, often staleKey processes documented and mostly currentDocumented, current, and regularly reviewed

How well do you understand the exception paths — the 20% of cases that don't follow the happy path?

Exceptions are handled ad hoc by whoever noticesWe know they exist but haven't mapped themMajor exceptions are mapped with defined handlingExceptions are categorized, measured, and routed

Do you measure cycle time, cost, or error rate for your key processes today?

No process-level metricsAnecdotal or occasional measurementSome processes have baseline metricsContinuous measurement with targets

Governance & Risk

Do you have a written policy covering how AI systems may be used in your organization?

No policyInformal guidance onlyA policy exists but isn't enforced or currentA current, enforced policy with clear ownership

For automated decisions, is there a defined human-in-the-loop or review step?

We haven't thought about itDiscussed, but nothing definedDefined for some workflowsDefined review gates with clear escalation paths

Could you reconstruct what an automated system did and why, after the fact?

No logging beyond system defaultsSome logs exist, scattered across systemsCentralized logging for key systemsFull audit trails with retention policies

Talent & Ownership

Is there a named owner for AI initiatives with real authority and budget?

No one owns itInterested champions without mandateA named owner without dedicated budgetAccountable owner with budget and exec sponsorship

Does your team have the skills to evaluate, deploy, and maintain agent systems (in-house or via partners)?

No relevant experienceSome experimentation by individualsCapable team for pilots; gaps at scaleEstablished capability or trusted partner bench

How does your organization typically absorb workflow change?

Change initiatives usually stallChange happens but is slow and painfulReasonable adoption with structured rolloutStrong change management track record

Systems & Integration

Do the systems an agent would operate (ERP, CRM, ticketing) expose usable APIs?

Mostly legacy systems with no API surfaceA few systems have APIs; many don'tMost key systems have APIs, some legacy gapsModern, API-first stack

Could you give an agent a safe environment (sandbox, staging, test accounts) to operate in before production?

Production is the only environmentLimited test setups, rarely currentStaging environments for key systemsFull sandbox parity with production

Can you provision a non-human identity (service account) with scoped permissions and monitor what it does?

We've never done thisPossible but ad hocStandard practice in some systemsStandard, governed practice with monitoring

Answer all questions to see your score.

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