Find the right Artificial Intelligence path for your business
Most companies know AI could help them. Fewer know where to start. Our five-question fit-check takes about ninety seconds and gives you a concrete recommendation, not a sales pitch.
Question 1 of 5
What does your data situation look like?
We need to understand your starting point before recommending anything. Pick the option closest to your reality.
- We have structured data in spreadsheets or a database, but nobody analyses it regularly
- Our data is scattered across email, documents, and a few cloud tools
- We already run dashboards and reports, but want predictive or automated insight
- We barely collect data at all right now
Your fit-check result
Our capability map
Data readiness
Audit, clean, connect
Predictive analytics
Forecast demand, risk, churn
Natural language processing
Search, classify, summarise
Computer vision
Inspect, count, verify
Automation and orchestration
Trigger, route, decide
Data readiness
Before any model can learn, your data needs to be findable, consistent, and trustworthy. We run a two-week audit across your existing systems, map every data source, flag quality gaps, and deliver a remediation plan you can act on immediately.
Typical engagement: 10 to 15 working days. Deliverables include a data catalogue, quality scorecard, and integration roadmap.
Why most AI projects fail before they ship
Roughly six out of ten AI pilots never reach production. The pattern repeats: a team picks a flashy use case, skips data groundwork, and builds a proof of concept that works on a laptop but collapses under real conditions. We see this constantly with new clients who come to us after a failed first attempt elsewhere.
Our role is to prevent that. Every engagement at Horizon AI Box begins with the question "what decision will this model actually improve?" If we cannot answer that clearly, we do not build the model.
"They told us our chatbot idea was premature and proposed a document classifier instead. It cut our admin time by 40% within eight weeks."Declan Harkin, director, a Derry-based insurance broker
"The data audit alone was worth the fee. We discovered duplicate records costing us about £12,000 a year in mis-shipped orders."Fiona Trevelyan, warehouse manager, consumer goods
"Honest, technical, and fast. They finished two weeks ahead of schedule on our demand forecasting model."Amir Patel, supply chain analyst, manufacturing
Case study: predictive maintenance for a food processor
A mid-size food processor near Newry was losing production hours to unexpected equipment failures. Their maintenance team relied on fixed schedules and gut feeling. Breakdowns still happened, and some scheduled services turned out to be unnecessary.
We connected vibration, temperature, pressure, and motor-current sensors to a lightweight anomaly detection model running on an edge device at the factory. The model learned normal operating patterns over two weeks, then began flagging deviations 24 to 48 hours before failure.
The maintenance team now receives prioritised alerts on a tablet dashboard. They replaced one compressor bearing three days before it would have seized, avoiding an estimated £9,000 in lost production and emergency repair costs from that single event.
Total project duration was six weeks from sensor installation to production deployment. The client's own engineers now manage the system day-to-day with monthly check-ins from our team.
Compare engagement routes
| Route | Duration | Typical cost range | You get | Best when |
|---|---|---|---|---|
| Data readiness audit | 2 weeks | £3,500 – £6,000 | Data catalogue, quality scorecard, integration roadmap | You suspect your data is messy but are not sure how messy |
| Focused AI pilot | 4 – 8 weeks | £8,000 – £18,000 | Working model on one use case, performance report, handover docs | You have a clear problem and decent data |
| Strategy and roadmap | 3 – 4 weeks | £5,000 – £10,000 | Prioritised AI opportunities, business cases, 12-month plan | Leadership wants AI but has no internal plan |
| Ongoing advisory | Rolling monthly | £1,800 – £3,200 / month | Monthly review, model monitoring, team upskilling | You have deployed a model and need sustained support |
Tell us about your situation
Or reach us directly
Phone: +44 1751 871322
Email: [email protected]
228 Jadon Croft, Nether DuBuquewell, Northern Ireland, FC72 1UI, United Kingdom
We typically reply within one working day. If your inquiry is urgent, phone is fastest.