SUPERWISE services
Analyst-led AI readiness assessment
For teams that need an evidence-based starting point, a budget case, or a practical AI roadmap.
$12,500 to $30,0003 to 5 weeks
Outputs you keep
Current-state inventory
Risk and dependency register
Opportunity scorecard
Choose your path
Free online assessment or analyst-led assessment
Start with a quick self-check, or ask our analysts to build the evidence and roadmap with your team.
Free online assessment
Who does it: You run it yourself.
Time: 5 to 20 minutes.
Price: $0.
What you get: A self-reported, directional readiness profile.
The free Quick Scan uses the submitted answers to create the readiness profile. Those answers are not sent to advertising or analytics tools.
Analyst-led assessment
Who does it: SUPERWISE analysts work with your team.
Time: 3 to 5 weeks.
Price: $12,500 to $30,000.
What you get: An executive summary, current-state inventory, risk and dependency register, opportunity scorecard, cost and ROI model, and prioritized roadmap.
Ask about this assessmentWhat you get
Working outputs, not a presentation about them
You finish with an evidence-based decision about where AI belongs in your business, what to do first and what it will take to move safely.
Executive assessment summary
A concise paid-assessment readout of the business goals, current position, strongest opportunities, material constraints and decisions that need leadership attention. Use it to brief the board or leadership team and make a go, pause or change-course decision without reading every working document.
Current-state inventory
A record of the AI activity, candidate workflows, stakeholders, relevant systems, available data and current controls found through document review and up to eight interviews at the low end of the range. Use it as the shared baseline for future planning, vendor conversations and internal ownership instead of rebuilding the picture in each meeting.
Risk and dependency register
A prioritized list of the data, integration, governance, security, skills and operating gaps that could stop or weaken the proposed work, with an owner and next action for each material item. Use it to assign work before a pilot starts and to show reviewers which risks are accepted, reduced or still open.
Opportunity scorecard
A comparison of the candidate use cases against business value, feasibility, data readiness, control needs and delivery effort, with the assumptions behind the scores. Use it to defend why one use case goes first and revisit the order when an assumption or business priority changes.
Cost and ROI model
A planning model for the selected opportunity showing the current effort, expected cost categories, value assumptions and the variables that most affect the case. Use it to set a budget, challenge optimistic assumptions and decide what evidence a pilot must produce before a larger commitment.
Prioritized 30-, 60- and 90-day roadmap
A sequenced plan that names the first use case, prerequisite work, owners, decision points and the next service or build needed to move forward. Use it as the first-quarter work plan and as the handoff brief for your own team, SUPERWISE or another provider.
Outcomes
What will we have at the end?
A starting point your team agrees on
The assessment turns competing ideas and general interest in AI into a ranked first move, with the reasons visible to the people who have to fund, approve and run it.
Risks found before money is committed
You see the gaps in data, systems, ownership, governance and operations that would hold back the first use case, while there is still time to fix them or choose a better one.
A decision-ready plan
Leadership gets the evidence, cost and ROI assumptions, priorities and 30-, 60- and 90-day actions needed to approve a next step instead of an open-ended AI program.
Examples
What could this look like in our business?
These are examples of suitable work, not claims about past client engagements.
Example: several departments want different AI tools
Sales wants drafting help, operations wants automation and finance wants forecasting. The assessment compares the opportunities on value, feasibility and risk so the first investment is a business decision, not the loudest request.
Example: staff already use public AI accounts
The business knows people use ChatGPT or Claude but cannot see which information goes in or which rules apply. The assessment identifies the current practice, the exposure and the first controls to put in place.
Example: a board asks for an AI plan
Leadership needs more than a list of tools. The paid assessment produces a risk register, cost and ROI model and phased roadmap that make the choices and trade-offs clear.
Example: one promising workflow needs a reality check
A team has a strong use case but does not know whether the data, integrations, approvals and operating ownership are ready. The assessment tests those dependencies before a build is scoped.
Example: a client asks how AI is controlled
A customer or insurer wants evidence of who approves AI, what data is allowed and how activity is reviewed. The assessment shows what evidence exists, what is missing and which gaps need an owner.
Success measures
How do we know it worked?
We agree the measures at kickoff and use them in the final decision.
Measures agreed at kickoff
- Decision clarity: the decision group can choose the first use case, pause it or reject it using the assessment evidence.
- Coverage: the agreed stakeholders, AI activity, workflows, systems, data and controls appear in the current-state inventory.
- Owned risks: each material gap has a named owner, a next action and a decision about whether it must close before work begins.
- A usable plan: the roadmap names the sequence, dependencies and decisions well enough for the responsible team to start.
- An agreed business case: leadership accepts the cost and value assumptions or records which assumptions a pilot must test.
Your team
What does our team need to give?
About 12 to 20 hours across the team for the low-end analyst-led assessment, including up to eight interviews and the readout. These are planning figures and are confirmed in scope.
Executive sponsor
Sets the business questions, confirms who must be heard, clears access to people and documents and makes the final decision.about 1 to 2 hours
Business and domain leads
Explain the work, where time and risk sit today, which opportunities matter and what a useful result would change.about 1 hour each during interview weeks
Systems and data owner
Explains the systems, integrations, data availability and access constraints behind the candidate use cases.about 2 to 3 hours in weeks 1 to 3
Security, legal or compliance owner
Shares the current rules and evidence, tests the risk findings and confirms which obligations affect the roadmap.about 1 to 2 hours during the assessment
Duration
How the assessment runs
3 to 5 weeks
Week 1
Confirm goals, inventory stakeholders, and gather existing plans.
Weeks 2–3
Interview the team and assess data, systems, governance, and operations.
Weeks 4–5
Score opportunities, prepare the roadmap, and deliver the readout.
Data and security
Is our data safe?
How the engagement handles data
- The paid assessment reviews only the plans, systems, data conditions, policies and evidence agreed in scope; it is not a production connection to your systems.
- Who may provide documents and see findings is agreed at kickoff. Access stays limited to the assessment team and named client participants.
- The risk register records gaps in access, governance, security, auditability and ownership. It does not certify the business against a framework.
- The assessment does not require protected health information to be placed in the SUPERWISE platform.
SUPERWISE signs a Business Associate Agreement with healthcare customers, and the scope is confirmed during scoping. See the trust center.
Ownership
What do we own when it is over?
You keep the executive summary, inventory, risk register, opportunity scorecard, cost and ROI model and roadmap. If you stop working with us after the readout, those files are written so your team or another provider can take the next step.
After the engagement
What happens after?
The assessment ends with a decision and first-quarter plan. Data and systems discovery is usual when systems need deeper mapping; an agent build follows when one workflow is ready; governance or compliance work follows when controls or evidence are the blocker. Implementation and managed operations are separately scoped, and no continuing support is implied after the readout.
Price
Know the range before the first call
We confirm a fixed scope and price after a scoping call.
| Tier | Price range | Duration | Scope included |
|---|---|---|---|
| Service | $12,500 to $30,000 | 3 to 5 weeks | One business unit or site |
Not included
- Implementation of the roadmap or construction of an AI agent, integration or production system.
- Software, model, data or other third-party subscriptions.
- Travel beyond the one on-site day included at the low end of the analyst-led range.
- Fifteen or more interviews, per-use-case ROI models for several opportunities or a separate board readout unless added to scope.
- Certification, an external audit, legal advice or a guarantee that a regulator, customer or board will approve the plan.
Fit
Know whether this is the right starting point
Teams of 10 to 500 people choosing where to start
Good fit if
- Your team needs evidence to choose and fund its first AI move.
- Several opportunities need to be compared for value, feasibility, and risk.
- You want a defined handover your team keeps.
Start somewhere else if
You want a quick self-check first.
Who delivers and proof
Delivered by the SUPERWISE services team
We have not published a case study for an AI readiness assessment, so we do not present one. The nearest real story is Renova Health, where governed AI supports chronic-care work; it shows the operating context an assessment must understand, not the result of this service.
Related published work
The nearest approved examples for this work.
Analyst-led assessment questions
What to expect before you start
The low end covers one business unit or site, up to eight interviews, remote work plus one on-site day and six assessment deliverables with a readout. More sites, 15 or more interviews, several ROI models or a separate board readout move the work up the range. This is draft pricing for review.
No AI team is required. You need a sponsor, people who know the work and someone who can explain the relevant systems and data. For a small business without IT staff, that may be the owner and the person or provider who manages its systems.
That is a useful result. The package identifies the blockers, assigns next actions and shows whether to fix them, choose a lower-risk opportunity or stop before committing build money.
No. We can identify governance and risk gaps and help you align future work to a named framework, but this is not certification, an external audit or legal advice.
Yes. You keep the assessment files and decisions. They are written to support a handoff whether your team, SUPERWISE or another provider does the next work.
The service path
Where this fits
Learn about the decisions
When people say "AI," what are they talking about?
Use the same language before comparing opportunities.
Is it predicting something, or making something?
Separate forecasting work from work that creates content.
What should an AI governance framework include?
See the governance questions that belong in a readiness review.
Kits for this work
Ask the five questions of every tool you approve
Free practical kitUse the worksheet while inventorying tools and evidence. Five questions to ask about any AI tool. A one-page worksheet to copy for each tool, a written request to send the vendor, the published training, retention, audit-log, and BAA terms for eight ChatGPT, Claude, Copilot, and Gemini plans as of October 6, 2026, and the five questions run against ChatGPT Free, Microsoft 365 Copilot, and Clio Manage AI. Ten pages, PDF.
Products this service puts to work
Accelerate this engagement with Council
Use Council when the assessment identifies a system that is ready to be designed with governance built in.
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