Find Out If Your Business Is Ready for AI Before You Invest
Most AI projects do not fail because of the model. They fail because the data is messy, the process is unclear, or the systems do not connect. We check all of that first, and give you a clear score and roadmap.
50+ ERP and software projects. Zero failed projects since 2021.
AI cannot fix a messy business by itself
If the data is scattered and the process is unclear, AI only makes the confusion faster. Readiness comes first.
Spend on the use cases that will actually work
A lot of AI budget is lost on projects that were never going to succeed, because the groundwork was not there. The assessment tells you what is ready now, what needs work first, and what to leave for later.
- A clear picture of where you stand.
- The gaps that would sink a project.
- The use cases worth starting with.
AI is only as good as the data underneath it
If sales sits in Excel, stock updates are delayed, and finance data is separate, an AI tool cannot give reliable answers. We check whether your data is clean, connected and trustworthy enough to build on.
- Where your data lives and how clean it is.
- Which systems connect and which do not.
- What to fix before AI can help.
Six dimensions of AI readiness
We score each one, so you can see exactly where you are strong and where the gaps are.
Data readiness
How clean, complete, connected and trustworthy your business data is, and where it lives today.
Process readiness
How clearly your core processes are defined, and whether they are consistent enough to automate.
Systems and integration
Which systems you run, how well they connect, and where data is re-keyed by hand between them.
Team and skills
Whether your team has the skills, ownership and appetite to adopt and run AI in daily work.
Use case and ROI
The specific opportunities in your business, ranked by value and effort, so you start where it pays back.
Governance and security
How you handle data access, approvals, compliance and control, so AI stays safe and accountable.
From first call to a clear roadmap in about two weeks
A report you can act on, not a slide deck
What a readiness check changes
Why teams choose TCB Infotech for AI readiness
AI readiness assessment questions
What is an AI readiness assessment?
Why do we need an assessment before starting AI?
How long does the assessment take?
What do we get at the end?
Do we have to buy anything from TCB after the assessment?
Is the assessment only for large companies?
See Where Your Business Stands on AI
Book a free consultation. We will walk through your data, systems and goals, and show you what an AI readiness assessment would cover for your business.
Book a Free Consultation →No commitment. A practical first look at your AI readiness.
What Is Inside an AI Readiness Assessment
The assessment is a working review of your business, not a questionnaire. Here is what we look at, how we score it, and what you walk away with.
From your real data to a plan you can act on
We check the foundation AI has to run on
We look at where your data lives, how clean and complete it is, and how well your systems connect. This is the part most AI projects skip, and the part that decides whether they work.
- Where data sits and how trustworthy it is.
- Which systems connect and which are re-keyed by hand.
- The gaps to fix before AI can help.
We find where AI removes real friction
We map your core processes and look for the repetitive, high-volume work where AI pays back. Then we rank each opportunity by value and effort, so you start where the return is clearest.
- Core processes mapped as they really run.
- Use cases ranked by value and effort.
- A shortlist of where to begin.
We score six dimensions and hand you the plan
We score your readiness across data, process, systems, team, use cases and governance, then deliver a report with a prioritized roadmap and an estimate of effort and return for each step.
- A clear score across six dimensions.
- A step-by-step roadmap, not a slide deck.
- Effort and ROI estimates for each move.
Everything the assessment delivers
Readiness scorecard
A score across data, process, systems, team, use cases and governance, in plain language.
Use-case shortlist
The specific AI opportunities in your business, ranked by value and effort.
Prioritized roadmap
What to fix first, what to build next, and what to leave for later.
Effort and ROI estimate
The likely effort and return for each opportunity, so you can plan the budget.
Governance review
How your data access, approvals and controls hold up, and what to tighten before AI.
Vendor-neutral plan
A plan you own and can run with any partner or your own team, no lock-in.