AI Services
AI Readiness Assessment
A two-week diagnostic rather than a strategy. It tells you whether you are in a position to do anything useful, and what would need to change if not.
An AI readiness assessment scores your data, processes, systems and appetite before you commit budget. The Nexclick delivers it as a written document you keep, naming which opportunities are viable now, which need groundwork first, and which are not worth pursuing at your size.
Is this you?
What usually prompts the call
- You have been asked to produce an AI plan and do not know where to start.
- You suspect your data is not in a state to support any of this.
- Several departments want different AI things and nobody has assessed any of them.
- You need something concrete to take to a board before committing budget.
What we do
The actual deliverables
Things that appear on an invoice, not adjectives.
- Data audit
- What you hold, where it lives, how consistent it is, and whether it is accessible programmatically. This is the most common blocker and the least discussed.
- Process documentation review
- Whether the processes AI would touch are documented and stable. Undocumented processes cannot be automated reliably, and finding that out early saves the pilot.
- Systems and integration audit
- Whether your CRM, helpdesk, job management or ERP can be connected to. A system with no API changes what is possible substantially.
- Opportunity identification and scoring
- Candidate use cases scored on volume, rule clarity, data availability and business value. Scored rather than listed, so the order is arguable.
- Organisational appetite assessment
- Whether the people affected will use it. Adoption kills more AI projects than capability does, and it is assessable in advance by asking.
- Governance and compliance position
- Data protection, sector rules and what you would need to document. Regulated sectors have constraints worth knowing before scoping anything.
- A prioritised scorecard
- Every candidate scored, with a viable-now, needs-groundwork or not-worth-it verdict and the reasoning attached.
Checklist
Score your own AI readiness
Fifteen questions, answered honestly. Most businesses score between five and nine, and the gaps cluster in the same three areas. Work through it before commissioning anything from anyone.
- 01Is your customer data in one system, or spread across several that disagree?
- 02Can that data be accessed programmatically, or only by a person logging in?
- 03Are your key processes documented, or held in the heads of two people?
- 04Do you record enough detail to know how often the task in question happens?
- 05Does your CRM, helpdesk or job system have an API?
- 06Do you know your current cost of doing the task manually?
- 07Is there a named person who would own an AI system once it exists?
- 08Would the team affected use it, or work around it?
- 09Do you know what lawful basis would apply to the data involved?
- 10Are there sector rules — FCA, ICO, clinical, legal — that constrain what you can automate?
- 11Could you tell a client which supplier processes your data and where?
- 12Do you have budget for running costs, not just the build?
- 13Has anyone tried something similar internally, and what happened?
- 14Is there a specific task in mind, or is this a general ambition?
- 15Would you know within three months whether it had worked?
How it works
Step by step, with timeframes
Timeframes are typical rather than guaranteed, and they assume we get account access and approvals when we ask.
- 01Week 1
Interviews and access
Conversations across the departments involved, plus read access to the systems in scope.
- 02Week 1–2
Audit
Data quality, process documentation, system capability and integration surface.
- 03Week 2
Score and prioritise
Candidates scored against a consistent framework so the ranking can be challenged rather than accepted on authority.
- 04Week 2–3
Present
A written scorecard plus a session, delivered in terms a board will read rather than a technical appendix.
What you get
Reporting and ownership
- A scorecard you own, with every candidate scored and the reasoning shown.
- A named list of what would need to change before certain opportunities become viable.
- A data quality summary, which is useful regardless of whether AI follows.
- A board-ready summary separate from the technical detail.
- An honest verdict where the answer is that you are not ready, and what "ready" would look like.
Tools and platforms
- Data quality profiling
- System and API capability review
- Structured stakeholder interviews
- Opportunity scoring framework
- UK GDPR and sector compliance checks
Timeline
How long this actually takes
Two to three weeks. Deliberately short and fixed-price, so getting an honest answer is cheap. The most common finding is not that AI would not help but that the data or the process needs work first — and that groundwork is worth doing whether or not AI follows, which makes it an easy recommendation to accept. Where the honest verdict is that you are not ready, we will say so and describe what ready would look like rather than proposing a pilot to fill the gap.
Pricing model
Fixed-price project
Fixed price, deliberately small so an honest answer is affordable. Credited against a subsequent engagement if you go ahead within 90 days.
Questions
AI Readiness Assessment questions
What does a poor readiness score actually mean?
Usually that your data or processes need work first, not that AI is off the table. That groundwork — consolidating systems, documenting processes, improving data quality — pays for itself regardless of whether AI follows, which makes it the easiest recommendation in this service to act on.
How long does this take?
Two to three weeks. It is deliberately short and fixed-price so getting a straight answer is cheap. An assessment that costs as much as a pilot defeats its own purpose, and the point is to spend a little before spending a lot.
Do you need access to our systems?
Read access where possible, because it produces a considerably better data assessment than a conversation does. Where access is restricted, we work from documentation and interviews and state clearly in the report which findings are evidenced and which are reported.
Who should be involved from our side?
Whoever owns the process, whoever owns the data, and at least one person who does the work daily. The last is the most informative and the most commonly left out — managers describe the process as designed, staff describe it as it runs.
Is the output useful if we work with a different supplier?
Yes, deliberately. It is a document you own describing your own position, not a proposal for our services. Plenty of clients take it to an internal team or another supplier, and that is a perfectly good outcome.
What if we already know what we want to build?
Then go straight to consultancy or scoping rather than paying for a readiness assessment. This service is for organisations who need to establish whether they are in a position to do anything, not for those with a specific project already identified.
Last reviewed 28 July 2026.
Tell us what you are trying to fix
A 20-minute call, no pitch deck. The Nexclick will tell you what we would do, roughly what it costs, and whether we are the right people for it.