Back to services
S/02Applied AI

Applied AI for work that actually needs improving.

We identify useful AI and automation opportunities, build practical implementations, and integrate them into the way your organisation already works. No AI for its own sake: the goal is measurable value, with a human still accountable for the result.

Discuss your project → See relevant experience
€150K+Savings from a process platform
108→1Deployment sequences consolidated
200+Apps in a self-service shop
11Sites served by one automation
ABe clear about the tool

AI, automation, or both?

Not every automation project is an AI project, and treating it that way wastes money and adds risk. We choose the simplest tool that fits the work.

01Automation

Use it when the rules are stable and predictable. Deterministic steps, reliable and cheap to run: no model required.

02AI

Use it when the work needs interpretation, summarisation or flexible language understanding that fixed rules can’t capture.

03Both

Combine them when AI must feed a controlled business workflow: the model handles judgement, automation handles the reliable plumbing.

We also keep the categories distinct in delivery: deterministic automation, AI-assisted workflows, generative AI, and local or private AI models each have their place, and each gets human review and governance.

BWhere we fit

You may need us when…

  • Employees repeatedly copy information between documents and systems by hand.
  • Reporting takes days of manual consolidation before anyone can act on it.
  • Teams have access to AI tools but no reliable model for actually implementing them.
  • Management wants AI but hasn’t identified a genuinely useful first use case.
  • Sensitive information makes public AI services unsuitable for the task.
  • A proof of concept exists but was never integrated into operational work.
  • Staff spend too much time searching, summarising, formatting or classifying information.
  • The same question gets answered from scratch every time because past answers live in someone's head, not a searchable system.
CWhat we deliver

Practical AI & automation you can commission.

  • Opportunity & workflow discoveryFind where AI or automation would actually create value, and where it wouldn’t.
  • Process mappingDocument how work really flows before changing anything.
  • AI readiness assessmentAn honest look at data, tooling and risk before you invest.
  • Document-processing workflowsExtract, interpret and route information from documents at volume.
  • Knowledge & information assistantsAnswer questions over your own material, reliably and traceably.
  • Internal copilotsTask-specific assistants built around one team’s real work.
  • Reporting & summarisationTurn days of manual consolidation into a repeatable step.
  • AI-assisted classificationSort and tag information with a human check where it matters.
  • Local & privacy-conscious agentsKeep sensitive data in-house with local or private models.
  • Integration with your processesWire AI output into the systems and steps you already run.
  • Prompt & workflow designDesign the prompts and flows, then test them against real cases.
  • Prototype & proof of conceptProve value on a small scope before committing to more.
  • Human-in-the-loop reviewKeep a person accountable at the points that carry risk.
  • Governance & adoption planningRisk, access and rollout planned so the tool is actually used.
  • Training & enablementPractical hand-holding so your team can run it without us.
DSelected experience

Automation that produced a measurable result.

A note on honesty: we label work as automation unless AI was explicitly part of it. The value came from removing repetitive work, not from a buzzword.

AI-assisted delivery · Human-owned

AI-assisted product delivery

Ongoing practice
Situation

Modern AI coding tools can accelerate delivery, but only if someone stays accountable for correctness, security and integration.

Work delivered

LuXTech uses Claude, ChatGPT, Gemini and locally hosted coding agents inside a controlled development workflow. We remain responsible for requirements, architecture decisions, technical specifications, prompt design, code review, integration, testing, debugging, security-minded implementation and production troubleshooting.

Outcome

MetroBUC is live evidence that AI-assisted workflows can support a real production product, when they are paired with human ownership and real testing.

Relevant capabilities
Prompt designCode reviewLocal agentsTestingSecurity-minded delivery
See MetroBUC as a software case study
Process automation · Measurable savings

Continuous Improvement Platform

Automation
€150K+Cost savings generated
Situation

Improvement ideas across a large delivery organisation were scattered and rarely turned into measurable savings.

Work delivered

Designed and implemented a proprietary gamified Continuous Improvement Platform that captured grassroots ideas and turned them into a tracked savings engine.

Outcome

Generated more than €150,000 in cost savings. We present this as process-automation and measurable-improvement experience, not as an AI solution.

Relevant capabilities
Process designAutomationMeasurementAdoption
Deployment automation · Scalable

Deployment automation

Automation
108→1Task sequences
11Sites supported
200+Apps in self-service shop
Situation

Software deployment relied on 108 separate task sequences: repetitive, error-prone and hard to maintain across sites.

Work delivered

Consolidated 108 separate deployment task sequences into one universal, location-aware automated deployment supporting 11 sites, plus a self-service application shop containing 200+ applications.

Outcome

Repetitive technical work was replaced with scalable automation that teams could self-serve, clear evidence of spotting repetition and engineering it away.

Relevant capabilities
Deployment automationStandardisationSelf-serviceMulti-site
Administrative automation · Time recovered

Onboarding-process automation

Automation
Situation

Employee onboarding involved recurring manual steps that consumed staff time every cycle.

Work delivered

Automated an employee onboarding workflow, eliminating recurring manual work.

Outcome

Freed several days of staff effort. Labelled as automation experience: a clean example of removing manual toil.

Relevant capabilities
Workflow automationAdmin processesTime recovery
EResponsible implementation

AI you can put your name to.

Practical AI has to be defensible as well as useful. We build with these principles in place from the start.

  • Data minimisation: only what the task genuinely needs.
  • Human review at the points that carry risk.
  • Traceability: you can see why an output was produced.
  • Access control over data and models.
  • Realistic performance expectations, tested against real cases.
  • Avoiding unnecessary AI where a simpler tool is safer.
FHow an engagement works

From use case to working tool.

01

Discovery

We map the workflow and find where AI or automation genuinely helps, and where it doesn’t.

02

Scope & recommendation

A recommended approach (automation, AI, or both) with scope, risk and a realistic outcome.

03

Implementation

We build a working implementation and integrate it into your existing processes.

04

Testing & acceptance

Tested against real cases, with human-in-the-loop review where it matters.

05

Handover & enablement

Governance, documentation and training so your team can run it with confidence.

S/01Custom Software S/03Project Delivery
GContact

Let’s turn the idea into a workable plan.

Tell us where the repetitive or manual work is. We’ll say honestly whether AI, automation, or a mix is the right answer, and what a useful first step looks like.

Discuss your project →