Name: AI Excellence Net
Address: 1 Joshua Drove, Connellywell, Northern Ireland, QE62 9EK, GB
Telephone: +44 984 006 1032

What we build

Each engagement starts from a specific business question, not a technology wish list. Here are the categories most clients fall into.

Predictive analytics

Time-series forecasting for inventory, staffing, and revenue. We connect directly to your ERP or warehouse system, train gradient-boosted and recurrent models on 18+ months of history, and deliver daily or weekly predictions through a dashboard your ops team can actually read.

Document intelligence

Invoices, contracts, claim forms: we train extraction pipelines that pull structured fields from messy PDFs. One logistics client cut manual data entry by 78% in the first quarter. Models improve with every correction your team makes.

Anomaly detection

Catch fraud, equipment failures, or quality defects before they cascade. We deploy isolation-forest and autoencoder models that run against streaming data, sending alerts through Slack, email, or your existing monitoring stack.

Conversational AI

Custom chatbots and voice agents grounded in your knowledge base. Unlike off-the-shelf tools, ours retrieve answers from your internal docs and escalate gracefully when they reach a confidence boundary. Average resolution time for one retail client dropped from 14 minutes to 3.

Computer vision

Defect detection on production lines, vehicle counting at retail sites, PPE compliance on construction sites. We fine-tune object-detection architectures on as few as 200 labelled images and deploy them to edge devices or cloud endpoints.

AI strategy workshops

A two-day on-site session where we audit your data estate, map high-impact use cases, and hand you a prioritised roadmap with cost estimates. You walk away knowing exactly which projects will pay back first and which ones need more data collection before they are viable.

Problems we hear every week

Staff spend hours copying data between systems that should talk to each other.
Forecasts are built in spreadsheets and break whenever someone leaves.
Customer support tickets pile up overnight with no triage.
Quality issues surface only after goods ship, costing returns and reputation.

How AI changes the picture

Extraction models pull, validate, and route data in seconds instead of hours.
Forecasting pipelines run automatically, retrain monthly, and flag their own accuracy drift.
A conversational agent handles 60-70% of tickets instantly, escalating the rest with full context.
Vision models inspect every unit on the line, catching defects a human eye would miss at speed.

How an engagement works

Most projects move from first conversation to production in 8 to 14 weeks, depending on data readiness.

Discovery

We spend one to two days understanding your data sources, business rules, and success criteria. No charge for this stage.

Proof of concept

A working prototype on a sample of your real data, delivered within three weeks. You evaluate accuracy and usability before committing further budget.

Production build

We harden the model, add monitoring, integrate with your systems via API or batch pipeline, and document everything for your team.

Ongoing support

Monthly model health checks, retraining when performance dips, and priority access to our engineering team. Contracts are rolling, cancel any time.

Measured outcomes from recent projects

78%

Reduction in manual data entry for a Belfast-based freight forwarder after deploying document intelligence

£340k

Annual savings identified through demand forecasting for a mid-size food distributor

3 min

Average customer query resolution time, down from 14 minutes, using a grounded chatbot for an e-commerce retailer

Common questions

Do we need a large dataset to get started?

Not always. Some techniques, like transfer learning for image classification, work well with a few hundred examples. For tabular forecasting we typically want at least 12 months of history. During discovery we assess what you have and tell you honestly if more collection is needed first.

Where does the data stay?

On infrastructure you control. We can work within your existing cloud tenancy (AWS, Azure, GCP) or on-premises servers. We never copy production data to our own systems without explicit, written consent.

What does a typical project cost?

A proof of concept usually runs between £8,000 and £18,000. Full production builds range from £25,000 to £80,000 depending on complexity and integration scope. We quote fixed prices after discovery so there are no surprises.

Can you work with our existing IT team?

Yes, and we prefer it. Knowledge transfer is part of every project. We pair with your developers during the build, run internal demos, and leave documentation that lets your team maintain the system independently if they choose.

What happens if the model stops performing well?

All our deployments include automated monitoring that tracks prediction accuracy against ground truth. When drift exceeds a threshold you set, the system triggers a retraining run and notifies your team. If you are on a support plan, we handle this for you.

Let's talk about your project

Fill in the form or contact us directly. We respond within one working day.

Address
1 Joshua Drove, Connellywell, Northern Ireland, QE62 9EK, United Kingdom

Phone
+44 984 006 1032

Email
[email protected]