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AI Automation Ireland

AI Automation for Irish SMEs.

We build practical AI automations that reduce repetitive work, improve customer response, and help your team spend less time on manual admin.

Live workflow

How an AI automation actually flows.

Hover a node to see what each step does. The pulse moves through automatically — what your customers experience as one fast reply.

~2.1s
avg time to draft
98%
categorised correctly
100%
human approval first
0
missed follow-ups

The problem

AI automation should begin with a workflow, not a tool.

A lot of businesses start by asking which AI tool they should buy. The better question is which workflow should be improved. AI automation is most valuable when it handles repeated steps that already consume staff time: reading, categorising, drafting, summarising, notifying, updating records, and preparing the next action.

For many Irish SMEs, the problem is not a lack of effort. The problem is that everyday work is spread across email, spreadsheets, shared drives, paper notes, WhatsApp messages, CRMs, accounting software, and staff memory. That creates delays, duplicated work, missed follow-ups, inconsistent customer experiences, and reporting that takes too long to prepare.

AI can help, but only when it is attached to a clear workflow. A tool on its own does not fix a broken process. The useful version starts by asking: what task repeats, who owns it, what information is needed, what decision has to be made, and what should happen next?

What is AI automation?

AI plus workflow tools, doing the repetitive prep.

AI automation uses AI together with workflow tools to support tasks such as categorising enquiries, drafting replies, summarising documents, creating tasks, updating records, and preparing reports. For SMEs, the best first version usually keeps a person in control while AI handles the repetitive preparation work.

We avoid the common mistake of beginning with a technology and then looking for a use case. Instead, we begin with the business workflow. That means we look at the work your team already does and decide where AI, automation, dashboards, custom tools, or training can remove friction.

The result should be practical. Staff should understand it. Managers should be able to see whether it works. Customers should experience faster, clearer service. The business should be able to improve it over time without starting again from scratch.

What this can include

The most common ways we help.

Customer enquiry triage

Categorise incoming requests and route them to the right person.

Reply drafting

Prepare suggested email replies for staff to review.

Document summarisation

Extract key points from long documents or forms.

CRM updates

Create notes, tasks, and follow-up reminders.

Reporting summaries

Turn weekly numbers into a clear management update.

These are not abstract AI ideas. They are the kinds of workflows where small improvements can compound: fewer manual steps, fewer unanswered messages, fewer duplicate entries, better handovers, and more consistent outputs.

Example workflows

What this looks like in practice.

01

AI enquiry workflow

A customer fills in a form. The system classifies the enquiry, prepares a summary, drafts a reply, creates a CRM note, and alerts the relevant team member.

02

AI reporting workflow

Weekly numbers are imported from a spreadsheet. The dashboard updates and AI prepares a plain-English summary of trends, risks, and follow-ups.

03

Document review workflow

A document is uploaded. AI extracts key details, creates a checklist, and flags missing information for human review.

Who this is for

  • Businesses receiving high volumes of similar enquiries.
  • Teams that copy and paste information between systems.
  • Managers who want faster reporting without losing human review.
  • SMEs that want AI to assist staff rather than replace them.

It is especially useful when the business has a real workflow problem but does not yet know whether the answer should be AI, automation, a dashboard, a portal, staff training, or a custom app. That uncertainty is normal. Our role is to help you choose the right first project rather than overbuild.

Who this is not for

  • Businesses looking for vague AI strategy without an implementation path.
  • Teams that want to automate sensitive decisions without human review.
  • Projects where no owner, budget, or workflow has been defined.

The best projects have a clear owner, a visible business pain, a realistic budget, and a willingness to start with version one rather than trying to build everything at once.

How we work

A four-step approach.

01

Audit the workflow

We start by understanding the process as it works today. We look at who is involved, what information moves through the process, where delays happen, what tools are already used, and what outcome matters to the business.

02

Define the smallest useful version

We define the version one scope so the team knows exactly what will be built, what is included, what is excluded, and what success looks like.

03

Build, test, and launch

We build the workflow, tool, dashboard, app, or automation. We test it with realistic examples, check the handover points, review permissions, and prepare the team to use it.

04

Improve after real use

Once staff and customers use the tool, we refine language, adjust logic, add missing steps, simplify screens, and improve reporting. This is why we recommend ongoing support for most builds.

Tools and implementation

We choose tools based on the workflow, not fashion.

We choose tools based on the workflow, not fashion. A project may use AI assistants, automation platforms, spreadsheets, CRMs, databases, custom web apps, reporting dashboards, or integrations with systems your team already uses.

The important thing is that the system fits your business. We do not force every client into one platform. We choose the simplest reliable setup that can deliver the outcome, be maintained, and scale sensibly as the business learns what it needs.

Data, privacy, and human review

Sensitive workflows stay safe.

If the workflow involves private, financial, legal, medical, employee, or customer data, we design the scope carefully. The goal is to minimise unnecessary data, keep humans in control of important decisions, and review access rules before launch.

For many SME workflows, the safest first version is human-in-the-loop. That means AI can draft, classify, summarise, suggest, or prepare, but a person reviews important outputs before they are sent to a customer, used in a decision, or stored as a final record.

Pricing and next step

AI automation builds usually start from €2,500–€6,000.

Focused AI automation builds usually start from €2,500–€6,000. Complex workflows with multiple integrations, custom dashboards, sensitive data, or ongoing support are quoted after an AI Opportunity Audit.

The normal starting point is an AI Opportunity Audit. The audit gives you a clear recommendation, a scoped first project, likely risks, and a fixed-price build option.

Why Tús AI

Why work with Tús AI

Tús AI is built for Irish SMEs that want practical AI implementation, not vague AI hype. We focus on useful workflows, realistic budgets, clear scopes, staff adoption, and support after launch.

Our approach is intentionally simple: start with one business problem, build one useful solution, prove value, and expand what works. That is how SMEs can benefit from AI without creating a complicated technology programme or hiring a full development team.

We are also careful about the difference between a demo and a business tool. A demo looks impressive for five minutes. A business tool has to work for staff, customers, managers, and the real exceptions that happen every week. That is why we include scoping, testing, access review, handoff, and support in the way we work.

FAQs

Frequently asked questions.

Can AI reply to customers automatically?

It can, but we often recommend a human approval step at first. This gives the business speed without losing judgement or quality control.

Can AI connect to our existing tools?

Often yes. Depending on your tools, we may connect forms, email, CRMs, spreadsheets, databases, task systems, or custom apps.

Is AI automation safe?

Safety depends on the workflow, data, permissions, and human review. We scope data-sensitive workflows carefully.

How quickly can we launch?

Simple quick-win automations can often be built in one to two weeks after scoping.

Do we need an AI audit first?

For very simple workflows, not always. For anything involving sensitive data, multiple systems, or business-critical processes, an audit is the right first step.

Get started

Find the best first AI or automation project for your business.

Tell us where your team is losing time. We will help you identify one workflow that can be improved with AI, automation, a dashboard, or a custom tool, then show you the practical path to build it.