How much does the AI readiness assessment cost?

The fixed-price AI readiness assessment runs $18,000 to $35,000 depending on organization size and the number of workflows in scope. Price and scope are written before the engagement starts.

How long does an AI readiness assessment take?

Three weeks from kickoff to executive readout for a typical scope. Larger organizations with more workflows in scope can extend to four or five weeks.

Who inside our organization needs to participate?

Executive sponsors (CEO or CIO), operating leaders for the workflows in scope, a data or platform owner, and a compliance representative. Total time commitment across all participants is typically 15 to 25 hours over the three weeks.

How is an AI readiness assessment different from a maturity model score?

A maturity model produces a number. An AI readiness assessment produces a first project. Our deliverable names the workflow, the systems, the data, the risks, and the estimated payback for a specific initiative you can start the following month, along with the governance gaps to close before it launches.

Do you sell the follow-on build after the assessment?

Only if you decide the build is the right next step and only after a separate scoping and proposal process. Roughly two-thirds of assessment clients hire us for the recommended first project; the rest execute internally, hire another partner, or defer the initiative. All three outcomes are fine.

Can the AI readiness assessment support a board or regulator conversation?

Yes. The final report is written to be shared with a board, an audit committee, or (for credit unions) an NCUA examiner. The governance gap analysis and data inventory are the sections most often reused for regulator conversations.

AI Readiness Assessment

AI Readiness Assessment for Credit Unions, Healthcare, AEC, and Universities

An AI readiness assessment from Advisor Labs is a fixed-price, three-week audit that tells a leadership team where AI can pay back first, what has to be true for it to work, and where the real risks are. Designed for credit unions, healthcare organizations, AEC firms, and universities.

Book Your AI Readiness Assessment

What is an AI readiness assessment?

An AI readiness assessment is a short structured project that measures an organization across four dimensions (data, systems, governance, and operations) and produces a written verdict on where artificial intelligence can move a metric in the next twelve months. The assessment produces a working audit that a board, a CEO, or a CIO can act on the week it lands, rather than a maturity model score card or a sales-qualification survey.

Advisor Labs offers the AI readiness assessment as a fixed-price service. Scope, timeline, and deliverables are written before the engagement starts. There is no upsell built into the assessment; the recommendations point to whatever the data supports, including "buy a subscription and skip the build" when that is the honest answer.

What we assess

Every AI readiness assessment covers four areas.

1. Data readiness. Which datasets exist, where they live, how clean they are, who owns them, and which are usable by AI as they stand today. We look at core system exports, warehouse tables, document repositories, and the shadow datasets that live in shared drives and spreadsheets. Deliverable: a data inventory with a readiness score per dataset.

2. Systems and integration readiness. Which core systems and platforms can be reached by API, which cannot, and what the current integration cost looks like. By industry this includes Symitar and Corelation for credit unions, Epic and Cerner for healthcare, Procore and Deltek for AEC, Banner and Workday Student for higher education. Deliverable: a systems map with integration effort estimates.

3. Governance, compliance, and risk readiness. What AI governance exists today, what your regulator will expect, and what has to be in place before the first production system ships. NCUA AI risk guidance for credit unions, HIPAA and 42 CFR Part 2 for healthcare, FERPA and Title IV for higher education, contract and safety governance for AEC. Deliverable: a gap analysis against the applicable regulator expectations.

4. Workflow and opportunity readiness. Which specific workflows in your operations pass the three signals for automation (repetition, uniformity, short instance duration) and how much each is worth in staff hours and dollars. We interview the operating leaders and observe the queues. Deliverable: a prioritized list of five to fifteen candidate workflows with rough ROI estimates and a first-project recommendation.

The three-week AI readiness assessment timeline

Week 1: Discovery and interviews. Kickoff, executive interviews, and observation of two to three real operating workflows. Data and systems inventory started with your technology leaders.

Week 2: Analysis and workshops. Data quality review, integration feasibility review, governance gap analysis, workflow scoring workshop with the operating leaders. Draft findings shared for correction of factual errors.

Week 3: Roadmap and readout. Final report and readout to the executive team. Live discussion of the recommended first project, the readiness gaps to close before it starts, and the twelve-month sequence of subsequent projects.

Deliverables

A written AI readiness assessment report (typically 30 to 50 pages) covering the four areas above, with scores, evidence, and recommendations.
A prioritized workflow list with estimated ROI ranges.
A twelve-month AI roadmap draft.
A live executive readout with your leadership team, recorded on request.
A written recommendation on the first AI project, including cost band, timeline, and expected payback.

ROI framing

An AI readiness assessment is designed to make the next decision easier and cheaper. The first-project recommendation is scoped closely enough that the client can request a formal proposal the same week and start work the following month. In practice, three ROI patterns show up:

Time saved on the first automated workflow. Most first projects out of our assessments deliver 20 to 40 percent time reduction on a queue running at least a thousand items per month.
Costs avoided on the wrong project. In roughly one in three engagements, the assessment identifies a planned AI initiative that would have wasted six or seven figures. Killing that initiative pays for the assessment several times over.
Time and money saved on governance and vendor selection. The gap analysis and platform recommendations save six to twelve months of internal debate for organizations that are still choosing between clouds and model providers.

Why hire Advisor Labs for an AI readiness assessment?

Industry specialists. Every assessment is delivered by a senior consultant with prior AI program experience inside your industry (credit unions, healthcare, AEC, higher education). Generalist assessments miss regulator expectations and industry-specific data quirks.
Fixed price. The scope, timeline, and price are written before you sign. No scope creep.
No downstream dependency. The recommendations point wherever the data supports, including recommendations to buy a subscription, standardize on a platform, or hire an internal role. If a subsequent build project makes sense, we bid it like any other. If it does not, we say so.
Actionable output. The deliverable is a first project the operating team can start next month, plus the readiness gaps to close in parallel.

Frequently asked questions about the AI readiness assessment

Book your AI readiness assessment.

Three weeks, fixed price, written scope. You leave with a first project you can staff and a written roadmap for the following year. Start with a 30-minute scoping call.

Book Your AI Readiness Assessment