Publisher Operational AI Readiness Scorecard

Welcome to your Publisher Operational AI Readiness Scorecard

First and Last Name

Email

Publishing Company / Organization

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How clearly defined are your company's recurring operational workflows?

Most processes happen differently depending on the person or situation.

We have informal routines, but they are inconsistent.

Most important workflows have a repeatable process.

Our major workflows are clearly defined, repeatable, and regularly reviewed.

Can your team identify where work currently gets delayed, duplicated, or unnecessarily manual?

We have little visibility into where operational problems occur.

We know some problem areas but have not mapped them clearly.

We can identify most recurring bottlenecks.

We routinely track bottlenecks and know where improvements would have the greatest impact.

Before introducing a new tool, does your company determine what business problem the tool is supposed to solve?

We generally try tools first and determine usefulness later.

Sometimes

Usually

Yes. We define the problem, desired outcome, and workflow before selecting technology.

How well documented are your recurring operating procedures?

Most procedures live in people's heads.

Some documentation exists, but it is incomplete or outdated.

Most important procedures are documented.

Procedures are documented, current, accessible, and used consistently.

If a key team member became unavailable tomorrow, could someone else locate the information needed to continue their work?

Probably not

Only with significant difficulty.

For most responsibilities.

Yes. Important information, files, and procedures are organized and accessible.

How standardized is your company's file organization, naming, approvals, and version control?

Files are frequently difficult to locate or identify.

Some standards exist but are inconsistently followed.

We have reasonably consistent systems.

Standards are documented, understood, and consistently followed.

Does your company have guidelines about what information may or may not be entered into AI tools?

No guidelines exist.

We have informal expectations only

We have some documented rules.

We have clear documented guidelines covering sensitive, confidential, client, author, and proprietary information.

Does your company define when AI-generated or AI-assisted work requires human review?

No.

It depends on the person using the tool.

Human review is expected for important work.

We have clearly defined review and approval requirements.

Do you know which AI tools your team currently uses and what business information they are using them with?

No.

We know some of them.

We have reasonable visibility.

Yes. Tool use, access, purpose, and important data considerations are actively managed.

How prepared is your team to adopt new AI-assisted workflows?

There is significant confusion, resistance, or lack of understanding.

Interest exists, but readiness varies considerably.

Most people are open to using AI with guidance.

The team understands where AI can support work and is prepared to learn new workflows.

Are responsibilities and ownership clear enough that you know who would manage an AI-assisted workflow?

Ownership is generally unclear.

Some responsibilities are clear.

Most operational responsibilities have clear owners.

Workflow ownership, accountability, and escalation are clearly established.

How much does the publishing company still depend on the owner or senior leader to personally move routine work forward?

Nearly everything depends on the owner

Many routine decisions or processes still require the owner.

Some important workflows operate independently.

Most routine operations can continue without constant owner involvement.

Can you identify one recurring workflow that would be appropriate for a small AI pilot?

No.

We have several possibilities but no clear priority.

We have a likely workflow.

Yes. We know the workflow, problem, owner, and desired improvement.

Could you measure whether an AI-assisted workflow actually improved operations?

We currently have no meaningful baseline or measurement.

We could probably estimate the impact.

We track some relevant measures.

We could compare clear before-and-after measures such as time, errors, turnaround, workload, or capacity.

How does your organization typically approach new technology?

We implement broadly before determining whether it works.

We experiment without a consistent evaluation process.

We generally test before expanding

We use controlled pilots, measure outcomes, refine the workflow, and expand only when evidence supports it.

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