Check Whether Your Data and Infrastructure Are Ready, Before You Commit to Either
AI and cloud readiness assessments give an honest view of whether your data and infrastructure can support a proposed AI capability or a cloud move yet, and what needs fixing first, for businesses considering either step.
What These Two Readiness Checks Cover
These are two related but separate checks, and we run whichever one - or both - applies to you. AI readiness asks whether the data behind a proposed AI capability actually exists in a usable form. Cloud readiness asks whether your current infrastructure, applications and data can move to hosted infrastructure without breaking something that depends on being on-site. Both end with a written answer and, where the answer is not yet, what has to change first.
AI Readiness: A Plant Floor With No Labelled Images
A metal fabrication unit wants an AI capability that flags defective units from camera images on the line, after seeing something similar at a trade show. The readiness check finds the plant has never systematically captured or labelled images of defective versus acceptable units, which is exactly what such a capability would need to learn from. The honest first step is a period of structured image capture on the line, with defects tagged consistently - the AI capability becomes viable only once that record exists, not before.
Cloud Readiness: What Gets Checked Before a Move
- Which applications depend on being on a local network or specific on-site hardware, and what that dependency would take to remove
- How much data would need to move, and how long that transfer realistically takes at your connection speeds
- What the ongoing hosting cost looks like against your current on-site running cost, honestly compared
- Which regulatory or contractual terms constrain where your data is allowed to be stored
- What happens to daily operations during the migration window itself
What Drives Cost and Duration for Either Check
For AI readiness, how much data exists, how structured or unstructured it currently is, and how many separate data sources the proposed capability would need to draw from. For cloud readiness, the number of applications and their dependencies on local infrastructure, and how much data volume would need to migrate. Either assessment moves faster when the systems involved are already documented rather than needing to be discovered from scratch.
What You Hold at the End of Either Check
A Straight Answer on Readiness
Ready now, ready after specific fixes, or not worth pursuing yet - stated plainly, with the reasoning behind it.
The Prerequisite Work Named
Where the answer is not yet, exactly what would need to change first - data structure, infrastructure, contracts - so the next step is concrete rather than a vague instruction to get ready.
Frequently asked questions
Can you assess AI readiness and cloud readiness together, or are they always separate?
They can be done together when they are related - a cloud move sometimes is the prerequisite an AI capability needs - or separately when only one question applies. We scope it to what you are actually deciding.
What if the assessment concludes we are not ready for either?
We say so and name what would need to change first. An assessment that always concludes you are ready is not a useful one - the value is in catching the gap before money is spent on a capability that cannot work yet.
Does this include actually building the AI feature or performing the migration?
No. This is the readiness check only. Building the AI capability or executing a cloud migration is separate, subsequently scoped work once the readiness question is answered.
What drives the cost of a readiness assessment?
For AI readiness, how much data exists and how many sources it is spread across. For cloud readiness, how many applications and their dependencies on local infrastructure need to be examined.
What decides how long a readiness check takes?
How readily your data and systems can be inspected, and for cloud readiness specifically, how many applications need their dependencies traced individually rather than assessed as a group.
Do we need to already have a specific AI feature or cloud provider in mind?
No. A rough idea of what you are considering is enough to scope the assessment - part of the output can be narrowing a vague ambition into a specific, checkable proposal.
What do you need from us to start a readiness check?
For AI readiness, samples of the data the capability would depend on. For cloud readiness, a list of the applications in scope and who manages your current infrastructure. Either way, one person who can grant access to look.
Tell us what you need.
Send a short brief and one of our engineers will come back to you — usually the same day.
- No obligation
- We reply the same working day
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