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AI Readiness Assessment

AI readiness.
Clear direction.

Understand how AI is being used in your business, where data may be exposed, and what needs to be in place before you scale adoption.

When to engage IO

AI is moving.
Do you have visibility?

For IT leaders, security teams, and business owners who need evidence to guide their next AI decision.

Employees are already using AI

You need to understand approved and unapproved activity across the agreed desktop and browser environment.

A Copilot rollout is approaching

You want to assess data access, governance, and readiness before expanding access to organizational information.

Leadership needs a defensible plan

You need a clear account of the gaps, priorities, and work required to support responsible adoption.

What the engagement delivers

Concrete outputs.
A usable next step.

The final scope is agreed around your environment, priorities, and responsibilities.

01

AI usage inventory

Document the AI applications and services identified through discovery, within the agreed environment and available telemetry.

02

Prompt and data exposure findings

Assess the types of information being shared with AI where available evidence and configured collection allow that review.

03

Foundation and governance review

Examine relevant data access, existing controls, and operating responsibilities against your intended AI use.

04

Prioritized action plan

Organize the findings into practical next steps, dependencies, and areas requiring implementation.

05

Leadership and technical readout

Give decision-makers and the implementation team a shared understanding of the findings and the path forward.

We agree on the environments, access, available evidence, stakeholders, and assessment outputs before work begins. Discovery coverage and prompt-level visibility depend on the systems and telemetry in scope.

How we work

A coordinated path
from plan to handoff.

01

Define the decision

Align on your business goals, concerns, and the questions the assessment needs to answer.

02

Discover and assess

Review the agreed environment, AI activity, data foundation, and existing controls.

03

Prioritize the work

Translate the findings into a practical roadmap and review the next steps with your team.

Large enterprise / Assessment through implementation

From unmanaged AI
to a governed foundation.

IO assessed desktop and browser AI use for a large enterprise, evaluated prompt and data exposure, and then delivered a governed data foundation, approved Copilot implementation, and controls for ongoing oversight.

Explore the engagement

Before we begin

Good questions.
Clear expectations.

Do we need to have selected Copilot already?

No. The assessment can help establish your current position and inform the next decision, whether you are selecting a platform or preparing an existing rollout.

Does an assessment include implementing every recommendation?

The assessment establishes findings and priorities. Implementation work is scoped explicitly, so your team can decide which actions to execute internally and where IO should help.

Can you see every prompt across every AI tool?

Visibility depends on the platforms, managed devices, integrations, collection settings, and access included in the engagement. We establish that coverage before making conclusions about the findings.

Start with a conversation

Know your starting point.
Choose the next move.

Tell us what AI activity concerns you, what you are planning, and where you need clearer visibility.

Discuss an AI assessment

Prefer to book directly? Book a consultation.