Lead Magnet

AI Readiness Assessment

A six-dimension framework for identifying which of your workflows are ready for AI pilots today — and what needs to be in place before you commit investment to the ones that are not.

AI Readiness Scope

Turn uncertainty into a prioritized executive view.

Workflow opportunity
Data and system readiness
Governance and risk
Tool and vendor fit
Team adoption
Pilot roadmap

The Framework

Six dimensions that determine whether AI creates value in a given workflow.

Most AI pilots fail not because the technology does not work, but because the workflow, data, governance, or team was not ready. These six dimensions reveal which readiness gaps are blocking value — before the investment is made.

01High weight

Workflow clarity

Ready signals

The workflow is documented with defined inputs, a repeatable process, and a verifiable output.

Not-ready signals

The workflow varies by individual, relies on undocumented judgment, or outputs cannot be verified.

02High weight

Data quality and availability

Ready signals

Core data is centralized or accessible via API, quality standards exist and are enforced.

Not-ready signals

Source-of-truth conflicts between systems, data accuracy varies, no data stewardship function.

03Medium weight

Process governance

Ready signals

A named owner exists, exceptions are handled consistently, outcomes are tracked.

Not-ready signals

Multiple partial owners, inconsistent exception handling, outcomes are not measured.

04Medium weight

Team readiness

Ready signals

Team understands the change, leadership has communicated the rationale, training plan exists.

Not-ready signals

Team was not involved in scoping, change resistance is high, no enablement plan.

05High weight

Risk profile

Ready signals

Errors are catchable before downstream consequences, a human review step exists.

Not-ready signals

Errors are difficult to detect, consequences are significant, no human checkpoint.

06Medium weight

Measurement baseline

Ready signals

Current workflow performance is measured — cycle time, error rate, cost, or volume.

Not-ready signals

No measurement exists, performance is evaluated qualitatively.

Assessment Output

What you get at the end of the assessment.

The assessment is designed to produce decisions, not a report for a drawer. Every output is connected to a clear next step.

Readiness score

A dimension-by-dimension score for each candidate workflow, showing where the gaps are and which gaps block a pilot.

Use case ranking

Candidate workflows ranked by readiness and business impact — so you know which to pilot first and which to prepare before committing.

Governance framework

A practical accountability model: named owners, exception conditions, audit requirements, and review cadence — before pilots launch.

Pilot roadmap

A 90-day roadmap that sequences the first pilots, defines success metrics, and identifies the preparation work required for phase two.

How it Works

The assessment starts with a strategy call.

The call covers your business context, which workflows you are considering for AI, and the current state of the six readiness dimensions. From there, a focused assessment can be scoped to the workflows with the most strategic potential.

Book a Strategy Call

Strategy call

Clarify goals, workflows, and current readiness context

Dimension review

Score each candidate workflow against the six dimensions

Use case prioritization

Rank and sequence pilots by readiness and business impact

Pilot roadmap

Define the 90-day plan with success metrics and governance model

Common Questions

Straight answers about the assessment.

What does the assessment cover?

Six dimensions per workflow: clarity, data quality, governance, team readiness, risk profile, and measurement baseline. The output shows which workflows are ready now, which need preparation, and which should wait.

How long does it take?

Two to four weeks for a focused assessment, depending on the number of workflows and stakeholder availability. The output is an executive report with a 90-day pilot roadmap.

Can this lead into implementation?

Yes. The assessment can stand alone as a decision-making tool, or it can become the foundation for an AI transformation engagement that takes the prioritized pilots through governance design and launch.

Ready to understand where AI actually fits in your business?

Book a strategy call to clarify the business problem, the technology risks, and the highest-value next step.