An AI readiness review for the work your business actually does.

Find the right first move before you buy another tool. We look at the workflow, data, access, guardrails, and ownership around it, then give you a practical path forward.

Request the review

Beyond a scorecard:

Our AI readiness review answers the most important question: what is the right first move for this business?

How do you use AI today?

Choose the state that sounds most like the business today. The review begins with the work, decisions, and responsibilities already in motion.

Bring the use into view.

Map where AI already touches company information, customer work, and business decisions. Then clarify who reviews the output and which uses can move forward with confidence.

AI readiness depends on the whole chain.

Each condition connects a promising use to dependable work. Choose one to see the business question it has to answer.

What operating result should this AI use improve?

We connect the use to a result the business already cares about, such as faster turnaround, fewer errors, stronger margins, or more capacity in a constrained team.

We work from the decision backward.

The review starts with the result the business needs and the way the work runs now. Then we trace where AI could help, where a person must stay accountable, and what the surrounding data, access, and policies will allow.

That keeps the conversation grounded. It also keeps a promising idea from becoming a side demo nobody opens twice. When the first use is sound, our Applied AI work can help carry it into the day-to-day.

If AI is already being used off the books, the goal is visibility and a governed path forward, not a quiet ban.

Read our field guide to shadow AI

What you keep.

The review becomes a set of decisions your leadership and technical teams can use together.

The roadmap makes clear what is ready to move, what should wait, and what will strengthen the next decision.

A plain-language readout

A clear view of what is ready, what needs attention, and where ownership sits.

Prioritized next moves

Recommendations ordered by practical value, risk, and what has to happen first.

A starting point

A place to begin that fits the workflow, the information involved, and the people accountable.

A short roadmap

A sequence leadership can use to move forward, including what should wait until the conditions are stronger.

A focused path for your next move.

Frame the outcome

We start with the business result, the pressure around it, and what would make the review useful to leadership.

Trace the real work

We walk the workflow, current AI use, handoffs, exceptions, information, and judgment that the process depends on.

Test the conditions

We examine data and access, security and privacy boundaries, human review, ownership, and adoption together.

Make the next decision

We deliver the readout, order the next moves, and identify the strongest practical starting point.

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Questions a practical buyer should ask.

Straight answers about what the review is, what it is not, and how it fits the work already happening inside your business.

Do we need an AI use case before we start?
No. Choosing a useful first use is one of the reasons to do the review. We start with the business result and the workflow, then determine whether AI belongs there and what would have to be true for it to help.
What if employees are already using public AI tools?
That is a common starting point. We help make the use visible, understand what information touches the tools, and separate work that can be approved from work that needs a safer path. Our shadow AI article explains why visibility works better than a quiet ban.
Will the review require access to sensitive systems or data?
The review begins with focused discovery around the workflow, information, access, and policies involved. Any deeper access would be scoped and agreed before it happens. We do not change your environment as part of the review without explicit approval.
What do we receive?
You receive a plain-language readiness readout, prioritized next moves, a starting point, and a short roadmap leadership and technical teams can use together.
Is this an AI sales pitch?
No. DTS is pro-AI and unimpressed by AI for its own sake. If AI does not fit the problem well, or if the business is not ready to support the use safely, we say so and make the reason clear.
How is this different from a generic online checklist?
A checklist can surface useful questions. This review connects those questions to your actual workflow, people, information, risk boundaries, and operating ownership, then turns them into an ordered decision.
Is the initial review complimentary?
Yes. The initial AI Readiness Review is complimentary and no-obligation. If the review points to deeper technical discovery or implementation, that work would be discussed and scoped separately.
Request the AI Readiness Review

Bring us the pressure, the idea, or the stalled pilot.

You do not need to arrive with a polished use case. Tell us where the business is starting and what you are trying to improve.

  • ✓Complimentary, no-obligation initial review
  • ✓No requirement to have a use case ready
  • ✓Business and technical context in the same conversation
  • ✓A practical next step, including “not yet” when that is the honest answer
  • ✓Indiana team and local accountability

Start here

Tell us where you are starting.

A DTS advisor will follow up to shape the review around your business.

AI Readiness Review
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