of surveyed Northern Ireland businesses said they were using AI in some form.
AI consultancy Northern Ireland
Galvia provides AI consultancy for Northern Ireland businesses that need to work out where AI and automation will create real value, what foundations are missing and what is actually worth implementing. We combine strategy with the software, data and integration engineering needed to move from an idea to a working system.
Belfast-based AI consulting for organisations across Northern Ireland and Ireland.
Sometimes the most useful AI consultancy recommendation is that the first project should not be AI at all.
Some of our clients
AI in Northern Ireland
Galvia's Northern Ireland AI Survey covered 202 businesses across all 11 council areas. The picture was not a lack of interest. It was widespread use without the same level of structure, measurement or integration.
of surveyed Northern Ireland businesses said they were using AI in some form.
said they had no formal AI policy, even as everyday use was spreading.
said they were not measuring AI impact in a structured way.
Read the NI survey findingsHow we start
The useful starting point is a workflow, customer problem or commercial objective. We map what happens today, what data and systems are involved, and what would count as a worthwhile result before choosing a technology.
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Identify repetitive tasks, bottlenecks, slow handoffs, customer friction, information gaps or new opportunities that are worth fixing.
Decide whether the better route is generative AI, conventional automation, API integration, reporting, data improvement or process redesign.
Define the smallest pilot that can prove value, the data it needs, the human oversight required and the measure used to decide whether to scale.
The objective is not an AI roadmap full of ideas. It is a prioritised decision about what is worth doing first and what should wait.
Where consultancy helps
AI strategy consultancy is most valuable when it connects business priorities to the real systems, data, people and risks underneath them.
Teams are using ChatGPT, Copilot or specialist tools, but there is no shared view of where they help, what data is being used or how value is measured.
The problem might need AI automation, ordinary rules, an API integration or better data rather than another standalone product.
The organisation needs to test feasibility, integration, risk, human oversight and a measurable commercial outcome before committing budget.
Local context, technical delivery
Galvia is a Belfast software engineering and digital transformation company. We work across custom software, APIs, CRM integration, data, cloud, legacy systems and IoT, so an AI recommendation can be tested against the technology the business already relies on rather than treated as a separate innovation exercise.
What an engagement can cover
Galvia can stop at a recommendation or continue into engineering. The scope depends on how clear the problem is and how much technical uncertainty sits underneath it.
Prioritise use cases around business value, feasibility, data, risk and the effort required to implement them.
Assess repetitive workflows and decide where generative AI, rules-based automation or human review should sit in the process.
Work through source data, quality, access and reporting gaps. Where the foundation is the real problem, see Data Analytics Consulting.
Connect AI-assisted workflows to the systems people already use through APIs, CRM, cloud and custom software. See API Integration and Custom Software Development.
FREE RESOURCE
AI Opportunity Planning Brief
Use the six-page workbook to define the problem, map the workflow, check systems and data, compare AI with automation or integration, and scope a measurable first pilot.
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Before you enquire
It should help the organisation identify worthwhile use cases, understand the data and systems involved, assess risk and feasibility, and turn the best opportunity into a practical implementation plan rather than simply recommend AI tools.
Yes. We can begin with the workflows that consume time, create delays or limit capacity and then assess whether AI, conventional automation, integration or another change is the most sensible first route.
Galvia can do both. We are a software engineering and digital transformation company, so where a recommendation needs APIs, data work, cloud, custom software or integration we can continue into implementation.
Not necessarily, but data quality and access can determine what is feasible. If the main blocker is fragmented or unreliable data, fixing that foundation may be more valuable than starting an AI pilot immediately.
No. Some problems are better solved with ordinary automation, system integration, reporting or process redesign. We treat that as a useful conclusion rather than a failed AI project.
Yes. Galvia already works across CRM integration, APIs, cloud, data and legacy modernisation, so AI-assisted workflows can be designed around valuable existing systems instead of assuming everything needs replaced.
Yes. Galvia is based in Belfast and works with organisations across Northern Ireland, Ireland and the wider UK, although this page is specifically focused on the Northern Ireland AI consultancy search and local business context.
It depends on whether the work is a focused use-case review, wider opportunity mapping, technical feasibility, data investigation or an implementation project. We prefer to define the problem and useful first deliverable before giving a number that looks more precise than the evidence allows.
Tell us where AI might help
Tell us what the team does today, which systems are involved and what outcome would make the change worthwhile. A rough description is enough for the first review.
Commercial conversations are led by Martin Naughton, Galvia's founder and solution architect. Meet Martin.
Prefer email? info@galviadigital.com
Galvia Digital · Practical AI, automation and software engineering.
