AI consultancy & integration
Everyone is being told to "do something with AI". Very few are being told what. We start by working out where AI genuinely pays in your operation - then build only those parts, into the systems you already run.
Start with the problem, not the technology
.
The AI projects that fail are the ones that started with the tool. A model gets bolted onto a process nobody had measured, against data nobody had checked, and twelve months later there is a licence renewal and no number anyone can point at.
We come at it the other way round. Where does your team lose hours to work a machine could do first-pass? Where is the data already sitting in your ERP, your orders, your support inbox? What would actually change if that job took two minutes instead of two hours? Some of the answers involve AI. Several will not, and we will say so - a well-placed integration or a fixed report often beats a model.
Opportunity assessment
A structured look across your operation for the places AI is worth the effort - ranked by value, effort, and risk, with the weak ideas ruled out in writing.
Proof before spend
Small, time-boxed pilots on your real data. You see accuracy and cost on your own workload before committing to a build.
Built into your systems
AI that lives inside the software your team already uses - your portal, your ERP, your Laravel application - not another tab and another login.
Eight AI capabilities.
AI Opportunity Assessment
A review of your processes, systems, and data, returning a ranked shortlist of AI use cases with realistic value, effort, and risk against each one.
Data Readiness
Most AI problems are data problems. We check what you hold, where it lives, how clean it is, and what has to be fixed before any model is useful.
Document & Email Processing
Extracting structured data from purchase orders, invoices, specs, and inbound email so it lands in your system instead of being retyped.
Assistants & Internal Search
Answers drawn from your own documentation, product data, and history - for your team first, customers second, with sources shown.
Content & Product Data
Drafting and enriching product descriptions, specifications, and listings at volume, with a human approving before anything publishes.
Workflow Automation
Classification, routing, summarising, and triage inside existing workflows - the repetitive judgement calls that eat a team's morning.
AI Integration
Wiring models into Laravel applications, ERP, CRM, and e-commerce platforms - queued, logged, cost-capped, and monitored like any other service.
Policy, Risk & Governance
Where your data goes, what gets retained, what a model is allowed to decide alone, and how staff use AI tools safely day to day.
Where AI can pay.
Manufacturing
Quote and spec documents read automatically, drawings matched to product codes, and demand patterns pulled out of order history rather than guessed at.
Logistics
Delivery notes and PODs digitised on arrival, exception handling triaged before anyone opens the inbox, and route and load planning assisted by history.
E-Commerce
Product data enriched at catalogue scale, search that understands how customers actually phrase things, and support replies drafted from your own order data.
Fintech
Document-heavy onboarding, anomaly spotting across transactions, and drafting for compliance reporting - always with a person signing off the decision.
Property
Listing copy generated from structured data, enquiries qualified and routed, and lease or survey documents summarised for the people who chase them.
Education
Course and prospectus content drafted, student enquiries answered from approved material, and administrative paperwork reduced to review-and-approve.
Agriculture
Compliance and traceability records parsed from paperwork, and yield, input, and pricing data turned into something a manager can act on.
Energy & Utilities
Meter and asset data summarised, field reports structured on submission, and maintenance priorities ranked from what the history already shows.
We will talk you out of it if it doesn't stack up.
We are software engineers who have spent 15 years building the systems businesses run on - ERP platforms, trade portals, integrations. That is the useful background for AI work, because the hard part is almost never the model. It is your data, your process, and everything the AI has to plug into.
It also means we have no licence to resell and no platform to push. If the honest answer is that a report, an integration, or a fixed rule solves your problem for a tenth of the cost, that is the recommendation you will get - and you keep the assessment either way.
- Independent - no AI platform partnerships to protect
- Assessment first, with weak use cases ruled out in writing
- Time-boxed pilots on your real data before any build
- Costs modelled per transaction, not left to surprise you
- Human review designed in where decisions carry risk
- Built into your existing systems, not bolted alongside them
- UK and Ireland data handling considered from day one
- Belfast-based senior developers, working in your timezone
From a workshop to a working system - how an AI consultancy engagement runs.
Working with the platforms that power your site
- PHP
- Laravel
- WordPress
- Shopify
- Craft CMS
- MySQL
- PostgreSQL
The systems AI would plug into.
The businesses getting value from AI are the ones who asked a narrow question first.
We are a Belfast software company that has spent more than 15 years building the operational systems businesses depend on. AI is a capability we add to those systems where it earns its place - the same way we would approach an integration or a piece of consultancy: understand the process, prove the value, then build it properly.
Book an AI workshop →Years building bespoke business software.
API integrations connecting business systems.
Industry sectors served - aviation to fintech.
Frequently asked
We know we should be doing something with AI, but not what. Where do we start?
With a discovery workshop and an opportunity assessment. We spend time with the people doing the work, find where hours and errors actually accumulate, check what data already exists behind those processes, and come back with a ranked shortlist of use cases - including the ones we think you should drop. You keep the assessment whether or not you build anything with us.
How much does an AI project cost to run once it is live?
It depends on volume, but it is knowable in advance and we model it before you commit - cost per document, per enquiry, or per order, against your real throughput. Anything we build is metered and cost-capped, so usage cannot quietly run away. For many back-office use cases the running cost is a small fraction of the time it replaces.
Is our data safe? We do not want it training someone else's model.
That is a configuration and contract question we settle at the start. Business tiers of the major AI providers do not train on data submitted through their APIs, and we choose providers, regions, and retention settings to fit your obligations - including keeping some workloads entirely within systems you control. What leaves your network, and what does not, is written down before anything is built.
Will AI replace our staff?
That is not what we are usually asked to build. The work that suits AI is the repetitive first pass - reading a document, drafting a reply, classifying an enquiry - with your team reviewing and deciding. In practice it takes the tedious half of a job away rather than the job, and where a decision carries real risk we design the human sign-off in deliberately.
Our data is a mess. Are we too early for this?
Possibly, and that is worth knowing before you spend anything. Most disappointing AI projects are really data problems wearing a different hat. Part of the assessment is an honest read on data readiness - what you hold, where it lives, how clean it is - and sometimes the recommendation is to fix a system or an integration first and revisit AI in six months.
Do you build AI features into existing software?
Yes - that is most of the work. We add AI into the Laravel applications, ERP systems, portals, and e-commerce platforms our clients already run, so it appears where the team is working rather than in yet another tool. We are equally happy adding it to a system somebody else built.
Which AI models and tools do you use?
Whichever fits the job. We work with the major commercial models - including Claude, OpenAI, and Google - alongside open models where cost, privacy, or hosting rules make that the better answer. We are not tied to a platform and we do not resell licences, so the choice is made on accuracy, cost, and where your data is allowed to go.
Let's build something together.
Get in touch to discuss your project and find out how we can help.
Contact us