AI readiness assessment: where AI would help your business
An AI readiness assessment is a grounded look at where AI or workflow automation could realistically help your business, and where it would not. It is for owners and operations leaders being told AI will change everything, who want to know which of their actual workflows are candidates.
Days Dynamics maps how the work is done today, identifies the tasks that suit automation, and describes what would have to be in place, across data, systems, licensing, and human review, before anything is switched on.
When does an AI readiness assessment make sense?
- People retype information from one system into another every day.
- You have been asked whether the business should be using AI and want a defensible answer.
- A vendor has pitched an AI product and you want a read that does not come from the vendor.
- The same questions get answered from memory by two or three long-tenured employees.
- You suspect your existing licensing already includes capabilities nobody has turned on.
- A pilot was tried, did not stick, and nobody is quite sure why.
What Days Dynamics coordinates
- A workflow map of how the work is genuinely done today, step by step, including the exceptions.
- Identification of tasks that are repetitive, checkable, and high enough volume to be worth automating.
- An honest list of what would not benefit, and why, so effort goes where it pays.
- A data-readiness review: whether the records, documents, and master lists behind a workflow are clean enough.
- Licensing and platform review, including capabilities you may already hold.
- Device and infrastructure implications, where a workload calls for particular hardware.
- Privacy, retention, and vendor-terms questions raised before a tool touches business data.
- A phased sequence that keeps human review where judgment belongs.
How does the process work?
The first three steps are the same for every engagement and are described in full on how it works. The last two are where this service does its specific work.
- 1Tell us what you're working throughThe readiness assessment asks what is taking time, what systems you run, and how far along any AI conversation already is. It takes about two minutes.
- 2Receive a Technology Readiness SnapshotYou see the likely priority areas before any contact details are requested.
- 3Book a planning call if it makes senseA 30-minute conversation about the workflows that hurt, who does them, what the exceptions look like, and what data those workflows depend on.
- 4Map workflows and check readinessWe write down how a candidate workflow runs, then test it against data quality, system connections, licensing, and the privacy questions the workflow raises.
- 5Sequence a pilot with review kept humanOne workflow is chosen, success is defined before it starts, and the steps involving payments, contracts, or people stay with a person by design.
What should you decide before buying anything?
- Which single workflow you would pilot first, and how you would know it worked.
- What data the tool would see, and whether it may leave your systems at all.
- Which steps stay with people regardless of how well the tool performs.
- Who owns the source documents or records the workflow depends on.
- Which of the capabilities you are considering are already covered by existing licensing.
- What happens to the pilot if results come back ambiguous rather than clearly good.
Common mistakes worth avoiding
- Starting with a tool instead of a workflow. The tool question is the last one, not the first.
- Automating a process nobody has written down, which automates the confusion along with the work.
- Skipping data cleanup. Extraction and retrieval both fail quietly when the underlying records are inconsistent.
- Piloting several things at once, so when something breaks nothing explains which change caused it.
- Removing human review from steps involving payments, contracts, or people, where a confident wrong answer costs the most.
Related solution families
Project-level planning pages where you can configure a quote request for a specific piece of this work.
Where to read more
Frequently asked questions
Where does AI help a small business?
Most consistently in repetitive, checkable work: reading documents and creating records, answering routine questions from your own documentation, drafting follow-ups, and summarizing long threads. The common thread is high volume, a clear right answer, and a person approving the output.
Do we need special hardware?
Usually not for the common workflows, which run as cloud services on ordinary business laptops. Hardware matters when you want processing to stay on the device, or when a workload needs dedicated compute. Both are worth confirming before they change a purchase.
Is this a technology project or a process project?
Mostly a process project. The largest share of the work is writing down how something is done, agreeing what a finished record looks like, and cleaning the data behind it. That work has value even if you never switch a tool on.
What if the answer is that AI would not help us yet?
That is a legitimate outcome and we will say so. Knowing which workflows are not ready, and what would make them ready, is more useful than a pilot that quietly fails and puts everyone off trying again.
Start with a planning snapshot
The assessment takes about two minutes and returns a planning snapshot for your situation, before any contact details.