Leadership briefing
A management team wants to understand where AI fits. We run a practical session that separates low-risk quick wins from high-risk automation ideas.
AI Consultant Ireland
We help Irish businesses move from AI curiosity to practical implementation. We identify where AI can help, build the first useful workflow, and train your team to use it safely.
Scoring matrix
Five dimensions. The right first project scores high on repetition and value, low on risk and complexity.
High repetition, high business value, low risk (human-approved), low data sensitivity, low build complexity. Ships in 2–4 weeks. Easy to explain, easy to test.
The problem
They need to know what to do first, what to avoid, what data is safe to use, which workflows are worth improving, and how staff should use AI consistently. A consultant should make the business clearer, not more dependent on vague jargon.
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 does an AI consultant do?
An AI consultant helps the business identify practical use cases, assess risk, choose tools, design workflows, train staff, and implement useful systems. The best consulting work leads to a working process, not just a report.
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
Identify which AI ideas are worth pursuing first.
Choose tools based on workflow, data, team capability, and maintenance.
Set rules for staff use, review, and sensitive information.
Teach teams how to use AI on real business tasks.
Turn recommendations into actual tools or workflows.
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
A management team wants to understand where AI fits. We run a practical session that separates low-risk quick wins from high-risk automation ideas.
A business has staff using ChatGPT informally. We create usage guidelines and train staff on safe, practical workflows.
A firm wants to automate document summaries. We review the workflow, define the risks, design the human approval step, and build the first version.
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.
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
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.
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.
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.
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. 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
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 consulting engagements can begin with an AI Opportunity Audit from €750–€1,500, a leadership workshop, or a scoped implementation project. Ongoing advisory and AI Ops support usually starts from €750 per month.
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
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
We focus on workflows, staff adoption, data risk, and implementation. The output is a clear project, not just abstract advice.
Yes. Training can be standalone or part of a wider audit/build engagement.
We can help create a practical SME usage policy covering what staff can use AI for, what not to enter, and where human review is required.
Yes. Most consulting and implementation work can be delivered remotely, with in-person sessions possible depending on location and scope.
Yes. That is a key differentiator. We can move from consulting to implementation when the scope is agreed.
Get started
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.