AI Services
AI that closes a specific gap, or nothing at all
Twenty-four services, from a readiness assessment through to fine-tuned models and governance documentation. Most start with measuring whether there is a problem worth solving.
The Nexclick builds AI systems for UK businesses: chatbots, voice agents, retrieval-grounded knowledge bases and workflow automation. Projects start from £3,500. Every engagement begins by measuring the gap the system is meant to close, because AI is worth it for repetitive high-volume tasks and rarely worth it as a general upgrade.
What this covers
The honest version
The useful question is not "how do we use AI". It is "which repetitive, high-volume task in this business has a clear enough rule set that a machine could do most of it". Missed calls. First-line support. Invoice processing. Lead triage. Those have measurable gaps, and closing them produces a number you can point at.
Everything else — AI as a general upgrade, AI because competitors mention it, AI as a line in a strategy document — tends to produce a pilot that impresses in a demo and quietly stops being used by month three. The Nexclick will measure the gap before proposing anything, and will tell you when there is not one.
Two things get built into every system as standard. Explicit handover rules, so anything urgent, sensitive or unusual reaches a person immediately rather than being handled badly by a model. And a documented data path, so you can show a regulator exactly what leaves your systems, where it goes and how long it is kept.
Services
All 20 AI Services services
Each one has its own page setting out deliverables, process, timescales and pricing model.
- AI Consulting & StrategyWhere AI would genuinely help your business, and — just as usefully — where it would not.
- AI Readiness AssessmentAn honest scorecard of your data, processes and appetite before you spend anything.
- AI Chatbot DevelopmentChatbots trained on your content that hand over to a human at the right moment.
- Customer Support AutomationDeflecting the repeat questions so your team handles the ones that need a person.
- AI Voice AgentsPhone agents that take details, book appointments and escalate anything sensitive.
- AI ReceptionistAnswering the calls you currently miss — out of hours and when the line is engaged.
- RAG Knowledge BaseAnswers grounded in your own documents, with citations, rather than confident invention.
- AI Agents & Workflow AutomationAgents that complete multi-step tasks across the systems you already run.
- Business Process AutomationRemoving the repetitive admin that quietly eats a day a week.
- n8n, Make & Zapier AutomationConnecting the tools you already use, without a developer on permanent retainer.
- AI Content Generation SystemsProduction systems with human review built in — not a prompt saved in a document.
- AI SEO AutomationAutomating the repetitive parts of SEO without automating the judgement.
- Document Processing & OCRTurning invoices, forms and scanned PDFs into structured data automatically.
- AI Lead Scoring for CRMScoring leads on what actually predicts a sale in your business, not a generic model.
- AI Personalisation EnginesRecommendations and content that adapt without tipping into creepy.
- AI Data & Analytics DashboardsDashboards that answer questions asked in plain English.
- LLM Fine-TuningTuning a model on your data, for when prompting has stopped being enough.
- AI Integration with Existing SystemsAdding AI to the software you already run, rather than replacing any of it.
- AI Governance & CompliancePolicies, audit trails and UK GDPR compliance for the AI you put into production.
- AI Training for TeamsPractical sessions so your staff use these tools well, and safely.
Who this is for
Sound familiar?
- You are losing enquiries outside office hours, or while the line is engaged, and you know roughly how many.
- Your team answers the same twenty questions every day and has no time for the ones that need thought.
- Information exists across hundreds of documents and finding the right answer takes someone half an hour.
- A repetitive process — invoices, forms, applications — is eating a day a week that nobody has.
- You have been asked by your board what your AI strategy is and would prefer an honest answer to a fashionable one.
Who it is not for
When to spend elsewhere
- You want AI because it sounds modern. That produces a pilot nobody uses, and it is an expensive way to learn.
- Your underlying process is broken. Automating a broken process gives you a broken process running faster.
- Your data is scattered, inconsistent and undocumented. Fix that first — it is cheaper and it helps regardless.
The Nexclick would rather lose the enquiry than take on work that will not produce anything. Saying so on the website costs less than saying it in month four.
Deliverables
What you actually get
Things that appear on an invoice, not qualities.
- Measurement before building
- Call tracking, ticket analysis or process timing for two to four weeks, so the gap is a number rather than an impression. This has occasionally ended engagements early, which is the point.
- A working system on your real data
- Not a demo on sample content. Deployed against your actual documents, catalogue or CRM, where the awkward edge cases live.
- Explicit handover rules
- Written, tested escalation paths. Anything urgent, sensitive, or outside the system’s competence goes to a person immediately — the model never improvises on those.
- Integration with what you already run
- Output lands in your CRM, helpdesk or job management system as a record someone can act on. A system that emails a transcript nobody reads has not automated anything.
- Grounding and citation, where relevant
- Retrieval-augmented systems answer from your documents and show which one, so an answer can be checked. Ungrounded models invent confidently, which is worse than not answering.
- Governance documentation
- What data goes where, retention, lawful basis, model provider terms, and an audit trail. Written so it can be handed to a regulator or a client’s procurement team.
- Handover and team training
- Your staff are shown how to work with it, what it is bad at, and how to override it. Systems fail on adoption far more often than on capability.
Process
How the work runs
Timeframes are typical rather than guaranteed, and they assume we get account access and content approvals when we ask for them.
- 01Week 1–3
Measure
Establish the size of the gap with real data. If it turns out to be smaller than the cost of closing it, we say so and stop.
- 02Week 3–5
Scope and prototype
A narrow working prototype on your real data, so you can judge quality before committing to the full build.
- 03Week 5–9
Build and integrate
Full system, escalation rules, and integration into the tools your team already uses. Governance documentation is written alongside, not afterwards.
- 04Month 3–4
Tune in production
Real usage always surprises. The first month of live data is reviewed and the system adjusted — this stage is where most of the quality actually comes from.
Reporting & ownership
What lands on your desk
- The baseline measurement, in writing, before anything is built — so the result can be judged honestly.
- Volume handled, escalation rate and resolution quality, reviewed monthly.
- A transcript or record log you can audit, not a black box with a satisfaction score on top.
- Model and API costs shown at cost, separately from our fee, so you can see the real running cost.
- All prompts, configuration and documentation are yours, and the system can be operated without us.
Pricing
Where this starts
from £3,500
Scoping, a working system deployed against your real data, and handover documentation.
What moves it: How clean your data is, how many systems it has to talk to, and whether ongoing tuning is needed.
Indicative figure
Questions
AI Services questions we get asked
Eight specific to this service area. The general ones — contracts, ownership, timescales — are on the FAQ page.
How do we know whether AI is worth it for us at all?
Measure the gap first. If out-of-hours calls are the issue, track for three weeks and count them. If it is support volume, categorise a month of tickets. The Nexclick does this before proposing anything, and has on occasion concluded there was no gap worth closing. That is a cheaper outcome than finding out after the build.
Will it say something wrong to a customer?
Any language model can. The mitigations are grounding it in your own documents so it answers from source rather than memory, constraining what it is allowed to discuss, and setting explicit escalation rules so it hands over rather than guesses. What we will not tell you is that the risk is zero.
What happens to our data, under UK GDPR?
It is scoped before anything is built: what leaves your systems, which provider processes it, where it is stored, how long it is kept, and on what lawful basis. Enterprise API tiers generally exclude your data from training, and that exclusion is documented rather than assumed. You get the whole thing in writing.
Do we need our own model?
Almost certainly not. Most business problems are solved by a well-configured commercial model with good retrieval over your own documents. Fine-tuning is worth it for a narrow, high-volume task with a consistent format. Training from scratch is worth it for almost nobody outside research, and anyone suggesting it early is selling complexity.
How is this different from buying an off-the-shelf chatbot?
Off-the-shelf tools are cheaper and genuinely fine for simple FAQ deflection — if that is what you need, we will point you at one. Custom work earns its cost when the system has to know your specific catalogue, pricing rules or coverage area, and integrate with the systems you already run.
Will this replace people?
In the work The Nexclick does, it usually catches what staff never had time to reach — out-of-hours enquiries, backlogs, overflow. If your goal is headcount reduction, say so up front, because it changes what should be built and how carefully the handover rules need designing.
What does it cost to run once it is built?
Model API costs, which scale with usage, plus hosting. For a voice agent handling a few hundred calls a month that is typically tens of pounds rather than hundreds, but it depends heavily on call length and model choice. We show projected running costs during scoping, at cost, before you commit.
How long until it is actually usable?
A focused system — a support chatbot, a document processor — is generally live in eight to ten weeks including the measurement period. It will be noticeably better at month four than at launch, because the first month of real usage is what tells you where it falls over.
Other service areas
What else we do
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.