AI readiness assessment · proposed service

An AI Readiness Assessment That Ends with a Practical Decision

Know what to automate, what to improve first and what not to build yet.

An AI assessment should turn a broad ambition into a defensible next step. MTI Tech's proposed standalone assessment reviews the workflow, available information, dependencies and success criteria for a focused opportunity. An audit package is already described on our AI Automation page; a separate engagement makes its decision output clearer.

MTI Tech eagle mascot holding a checklist clipboard and thinking, beside a traffic light
The assessment ends with ProceedResolve prerequisitesStop
Begin with the business problem

Describe the process before choosing a tool.

Identify the repeated task, the people involved and the consequence of delay or error. Describe the current process before choosing an AI tool.

Where no meaningful problem can be defined, a new implementation may not be the appropriate next step.

Problem statement
Repeated task
People involved
Consequence of delay or error
Current process
AI toolChosen later
Review readiness across the workflow

Five dimensions. One honest picture.

Rate each dimension for the workflow you have in mind. This quick self-check only illustrates how the assessment reasons; it is not the assessment itself.

Information

Is the required material available, usable and permitted for the proposed purpose?

Process

Are the steps, rules and completion criteria documented?

Systems

Can the necessary information be accessed and can approved results reach the destination?

People

Who owns the workflow, checks exceptions and approves changes?

Economics

Does the likely benefit justify implementation, human review, vendor usage and support?

Illustrative outcomeResolve prerequisites

Some dimensions are only partly in place. Address them before committing to a build.

Compare the alternatives

AI is one option, not the default.

Consider process improvement, managed human support, ordinary automation and AI-assisted implementation. Document why the recommended approach fits better than the alternatives.

01

Process improvement

Fix the steps before adding software.

Recommended, with documented reasons
02

Managed human support

Trained people handle the work with clear procedures.

Recommended, with documented reasons
03

Ordinary automation

Rules and direct connections, no model needed.

Recommended, with documented reasons
04

AI-assisted implementation

AI where interpretation adds value, with review.

Recommended, with documented reasons

Postpone AIA credible assessment can recommend postponing AI when the prerequisites are missing.

Leave with a decision-ready brief

A brief narrow enough to review.

It should state whether to proceed, resolve prerequisites or stop, along with the reasoning and the responsible owners.

Not an acceptance criterion“Transform the whole business with AI”
Reviewable, for exampleDraft replies for one inbox category, checked against an agreed review sample
Pilot briefLayout
Selected use case
Starting baseline
Required data
Risks
Dependencies
Acceptance criteria
ReasoningResponsible owners
Decision
Assessment questions

Before you book an assessment.

No. A process owner, a systems list and an explanation of the problem are a useful starting point.

No. The conclusion may be to use a simpler method or improve the process first.

No. Financial assumptions should be visible and separated from measured results. The pilot can test them.

Start with one decision you need to make

What's holding the project back?

Describe the workflow you are considering and the uncertainty holding the project back.

Request a Workflow Assessment ↗
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