AI Readiness Check: free 12-question assessment

01 · Leadership alignmentHow aligned is leadership on why AI matters and what it should be used for?

No alignment, no clear reason yetSome interest, but not defined or prioritizedClear intent and a few priorities, not formalizedClear priorities, ownership, and a plan to act

02 · Use cases and valueWhich best describes your AI use cases today?

We do not have specific use cases yetWe have ideas, but not validatedWe have 1–2 use cases we want to pilot soonWe have validated use cases tied to measurable outcomes

03 · Data and knowledge foundationHow prepared is your organization’s core knowledge for AI to reference?

Scattered across people, inboxes, and random docsSome docs exist, but inconsistent and outdatedMostly documented, needs cleanup and structureStructured, up-to-date, and treated as source of truth

04 · Policies and governanceDo you have rules for safe, accurate, and responsible AI usage?

No policies or guardrailsInformal guidance, but not documentedDocumented rules, not consistently followedDocumented rules with approval, audit, and accountability

05 · Risk and accuracy mindsetHow do you handle risk when AI outputs might be wrong?

We have not thought about it muchWe rely on individuals to catch issuesWe review and approve outputs in key situationsWe have a clear workflow for review, approval, and monitoring

06 · Security and compliance readinessHow confident are you in your ability to use AI without exposing sensitive information?

Not confident, unclear what is safeSome awareness, but no processTools and rules exist, but not fully enforcedStrong controls, training, and clear compliance boundaries

07 · Team adoption and trainingHow ready is your team to use AI in real day-to-day workflows?

Low readiness, limited skills or comfortA few people use it casuallyMany people use AI weekly, inconsistent methodsTeam is trained, usage is consistent, repeatable, and accountable

08 · Workflow integrationWhere is AI being used today?

Not used in real workflowsUsed for ad hoc tasks like drafting or summarizingUsed in a few repeatable workflows (marketing, sales, support)Integrated into workflows with defined inputs, outputs, and QA steps

09 · Tooling and stack clarityWhat best describes your AI tooling environment?

No consistent tools chosenPeople use different tools with no standardA few standard tools are chosen, usage variesStandard tools, access, roles, and workflows are clearly defined

10 · Content and brand consistencyIf AI writes customer-facing content for you, how consistent is it?

Inconsistent, often off-brand or inaccurateSomewhat consistent, requires heavy editingMostly consistent, still needs QAHighly consistent due to brand rules and structured inputs

11 · Measurement and success metricsHow are you measuring whether AI is actually creating value?

We are not measuring itAnecdotal wins onlyBasic metrics exist (time saved, output volume)Clear KPIs tied to business outcomes (quality, speed, conversion, cost)

12 · Ownership and maintenanceWho owns AI quality and improvement over time?

No one owns itIt is informal, driven by individualsA team owns it, but maintenance is inconsistentClear owner, roadmap, and continuous improvement loop

14 · About youWhich area matters most right now?

Pick the answer that’s closest. You can go back.

What it measures

Not the tools you use. The system around them.

Your next step is rarely more tools. It’s better inputs and a stronger system around AI.

Direction

Leadership alignment and use cases with real value behind them.
Knowledge

Whether your core knowledge is structured enough for AI to reference, and whether AI-written content stays on brand.
Governance

Rules for safe use, how you handle wrong answers, and how well sensitive information is protected.
Workflows

Whether AI lives inside real, repeatable work, on a clear and shared set of tools.
Adoption

How ready your team is to use AI day to day, consistently and accountably.
Upkeep

How you measure value, and who owns quality and improvement over time.

The six tiers

From Not Ready Yet to Scale Ready.

Your answers place you in one of six tiers. Each one comes with its own biggest gap and next step.

Tier 1 Not Ready Yet
AI use is likely to create confusion, risk and inconsistent outputs.
Tier 2 Curious but Unstructured
You have interest, but AI will stay hit-or-miss without structure.
Tier 3 Early Stage Ready
You can run pilots, but quality depends on who is doing the work.
Tier 4 Pilot Ready
You’re ready for real pilots that can turn into stable workflows.
Tier 5 Operational Ready
You have the building blocks to scale AI across teams.
Tier 6 Scale Ready
You’re positioned to deploy AI as a reliable operating capability.

Questions

Questions about the readiness check.

What is the FieldSignal AI Readiness Check?

A free, twelve-question self-assessment that shows how prepared your organization is to use AI accurately and safely. It covers leadership alignment, use cases, your knowledge foundation, governance, workflow integration and adoption, and places you in one of six readiness tiers.

How do the tiers work?

Each answer reflects how established that area is today. Together, your answers place you in one of six tiers, from Not Ready Yet to Scale Ready, each with its own biggest gap and next step. The two questions at the end, about company size and priority, don’t affect your tier. They shape where we’d suggest you start.

What happens to my answers?

When you ask for your scorecard, we email you a copy, save your answers and tier to your contact record, and add you to our readiness check list so we can follow up about your results. If you tick the box, we’ll also send you FieldSignal insights and updates. You can unsubscribe at any time, and we never share your answers.

My tier is low. Is that bad?

No. A low tier means the conditions for success aren’t in place yet, not that AI isn’t relevant to you. At that stage most of the value comes from clarity: a few meaningful use cases, the knowledge AI would need, and basic rules for safe use.

What should I do with my result?

Start with your biggest gap and your weakest areas, which the result lists for you. AI readiness isn’t about how many tools you use. It’s about whether the system around AI is strong enough to support accuracy, trust and scale.

How ready is your business for AI?

Where should we send it?

Not the tools you use. The system around them.

Direction

Knowledge

Governance

Workflows

Adoption

Upkeep

From Not Ready Yet to Scale Ready.

Questions about the readiness check.

What is the FieldSignal AI Readiness Check?

How do the tiers work?

What happens to my answers?

My tier is low. Is that bad?

What should I do with my result?

Talk through your result.

How ready is your business for AI?

Take the AI readiness check

Where should we send it?

Not the tools you use. The system around them.

Direction

Knowledge

Governance

Workflows

Adoption

Upkeep

From Not Ready Yet to Scale Ready.

Questions about the readiness check.

What is the FieldSignal AI Readiness Check?

How do the tiers work?

What happens to my answers?

My tier is low. Is that bad?

What should I do with my result?

Talk through your result.