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Turn Scattered AI Ideas into a Prioritized, Secure Roadmap

Most organizations do not have an AI problem. They have a readiness problem: data sitting in systems that do not talk to each other, unclear ownership, and a list of AI ideas nobody can size or sequence. The AI and Data Readiness Assessment is a fixed-scope engagement that reviews the systems and data you already have, tests each idea against what that data can genuinely support, and leaves you with a written roadmap you own.

Illustration of a person using a telescope to survey the mountain range ahead

Why Start with a Readiness Assessment?

Buying an AI tool before you know what your data can support is how budgets disappear. The assessment is the cheapest step in the whole programme, and it is the one that decides whether the rest of it works.

It is deliberately separate from delivery. You finish with a roadmap you can hand to any vendor, including one that is not us.

  • Find out what your data can actually support before you commit budget.
  • Sequence ideas by value and effort instead of by whoever asked loudest.
  • Surface privacy, residency and consent questions while they are still cheap to answer.
  • Leave with a written roadmap you own, not a proposal you have to accept.

Relevant Results

What happens after the roadmap

Every figure and quotation below is taken word for word from a verified client review on Clutch.

3 of 3
projects from a single competitive RFP awarded to deltAlyz by a disability inclusion nonprofit
Anne Whitley, Sr Client Services Assistant, NIDMAR (verified Clutch review, Jul 2025)
5.0 / 5.0
cost and value, rated by a nonprofit that has to account for every dollar it spends
Jeff Minuk, Information Management Analyst, Coast Mental Health (verified Clutch review, May 2024)
Ahead of schedule
every item delivered, and within budget, on a secure health analytics portal
Evan Farquhar, IT Project Manager, Giiwednong Health Link (verified Clutch review, Aug 2024)

Comparable projects

“Project team took the time to understand our current situation and where we wanted to get to. They consulted and delivered effective solutions, time and time again.”

Some industries we served
Nonprofits and charities · Healthcare and First Nations health · Associations and member organizations · Education · Public sector and regulated utilities
Typical engagement
The assessment is fixed in scope and usually runs three to six weeks, depending on how many systems and stakeholders are involved. It ends with a written roadmap and a working session with your leadership team. Implementation is a separate decision, and organizations often phase it across the following months.
Technology
We start from whatever you already run rather than from a preferred stack. That commonly means Microsoft 365, SharePoint and Teams, a CRM or grant system, a finance system, Power BI or Excel reporting, and the spreadsheets that quietly hold everything else. Recent assessments have covered, for example, health record analytics for a First Nations health organization and grant data moving between an application platform and an accounting system.
Security
Where data is sensitive or regulated, the first real question is what is allowed to leave your environment. The assessment answers that in writing, covering residency, consent and who may see which records. For example, the Giiwednong Health Link portal was built so each organization reaches only its own analytics, and a mining client’s onboarding tools stayed inside their own Microsoft 365 tenancy.

What You Actually Receive

Every assessment ends with the same four deliverables, so you know exactly what you are buying before it starts.

They are written for two audiences at once: the leadership team that has to approve the spend, and the technical people who will have to build it.

Book a Readiness Assessment
Isometric illustration of a project team working together across an office

A data and systems inventory

Where your data lives today, what condition it is in, and which systems already hold the answers you keep asking for.

A scored opportunity list

Each AI and automation idea sized against the data it needs, the effort involved, and the value it would return.

A risk and governance view

Privacy, data residency, consent and human oversight set out in language a board or funder can approve.

A sequenced roadmap

A phased plan, with the first project scoped in enough detail to be quoted by us or by anyone else.

How It Works

How the Assessment Runs

A short engagement designed to fit around the day job of the people who have to take part.

  1. 01

    Kickoff

    We agree the questions the assessment has to answer and who needs to be interviewed.

  2. 02

    Discovery

    Interviews with the people who actually run the processes, plus a review of the systems already in place.

  3. 03

    Data review

    We check what your data can support today, rather than what a system vendor claims it holds.

  4. 04

    Prioritization

    Ideas are scored on value, effort, data availability and risk, then sequenced into phases.

  5. 05

    Roadmap and readout

    A written roadmap, a session with your leadership team, and the first phase scoped for costing.

FAQ

Frequently Asked Questions

Can’t find the answer you are looking for? Contact us, and we will gladly answer all your questions.

How long does the assessment take?

Usually three to six weeks, depending on how many systems are in scope and how quickly we can meet the people who run them. The scope and end date are fixed before we start.

Do we have to implement with deltAlyz afterwards?

No. The roadmap is yours, written so any competent vendor could quote the first phase from it. We would like to build it, but the assessment is deliberately sold and delivered as its own engagement.

What if the conclusion is that we are not ready for AI?

That is a legitimate and genuinely useful outcome. It usually means the first phase is data or integration work rather than an AI tool, and knowing that before you buy a licence is the point of the exercise.

Who needs to be involved from our side?

Typically an executive sponsor, whoever owns your data or IT, and two or three people who run the processes you want to improve. Most participants are interviewed once, for about an hour.

Does our data leave our environment during the assessment?

No. The assessment reviews structure, quality and ownership, and it can be run entirely against your own systems. Where samples are needed, we agree in advance what is shared and how it is handled.

We are a nonprofit with a small budget. Is this worth it?

Most of our nonprofit and public sector clients come to us precisely because they cannot afford a failed AI project. The assessment is the smallest commitment we offer, and it is designed to stop money going into the wrong phase one.

Contact Us

Ready to Find Out Where You Actually Stand?

Tell us what you are trying to achieve and we will scope the assessment around it.

Reach out to us today!

Prefer email or phone? We are happy to hear from you either way.