Get It Together, AI.

An AI readiness assessment checks whether your business is ready to use AI well: the job you want done, where the information for it lives, the tools you use and who would check the work. It ends with ordered priorities and a plan, including “not yet” when that’s the honest answer.

It looks at the job you want done, where the information lives, the tools you use and who would check the work. You get findings, ordered priorities and an estimate you approve separately. If AI isn’t the right fix yet, we say so.

No. Many businesses start with no AI at all. The first questions are about your office: your information, your tools and your people. That’s where useful AI starts.

A frequent, clearly defined task whose result someone can check, like sorting incoming requests and chasing missing details. The AI prepares the work, and a named person on your team approves it before anything goes out.

Yes, with limits. An agent can take actions in your tools, like updating records or sending follow-ups. Each one gets access only to what it needs, a named person responsible, review rules and an off switch.

Each workflow has agreed review and escalation rules and a named person responsible, so a mistake is caught by a person before it reaches a customer. And if something needs to stop, it can be switched off.

Often, yes, because small teams feel wasted hours most. A good assessment tells you which one job is worth automating first, what has to be organized before it will work and who will check it. Sometimes the honest answer is to organize first.

When the information it needs is scattered or out of date, when the task is rare or hard to check, or when a clear procedure would solve it. In those cases we recommend organizing or writing the process down first, and we say so before we build.

Four questions. The job: what should AI do, and what does done look like? The information: where does it live, and can people trust it? The tools: what does your team use every day? The people: who checks the AI’s work and owns the result?

Yes, the questions on this page. Name one job you’d hand to AI. List where its information lives: paper, a shared drive, email, spreadsheets, software or someone’s head. List your daily tools. Name who would check the work. Write down what worries you. That’s the start of an assessment.

We don’t hand you a number. You get findings, ordered priorities, a recommended plan and an estimate, so you know what to fix first, what AI should do first and who will do the work.

Regular automation follows fixed rules, like copying a form into a spreadsheet. AI workflow automation can read, sort and draft, like summarizing a request or preparing a reply. Because AI can be confidently wrong, a person on your team reviews its work before anything goes out.

We do. Get It Together, Denver is based in the Denver metro area and organizes the information on site; Innovation Theory, our technology partner, delivers the assessment’s technical side, integrations and AI.

Yes. We connect only the apps it needs, set it to ask before it sends, deletes or shares anything, name the person on your team who owns it, and write down how to stop it. That matters because a dot works for its owner, pausing it doesn’t stop work it has already scheduled, and deleting it doesn’t undo what it has done. Its rules are instructions it tries to follow, so we also set up a simple way for someone to check what it did.