Professional services audit
A consultancy spends too much time turning client calls into follow-up actions. The audit identifies meeting notes, task creation, and client summary workflows as the best first project.
AI Opportunity Audit
AI Opportunity Audit for Irish SMEs.
Not sure where AI fits in your business? We review your workflows, tools, admin tasks, customer communication, and reporting to identify the most practical AI or automation opportunity to build first.
Scoring matrix
How we score a candidate first project.
Five dimensions. The right first project scores high on repetition and value, low on risk and complexity.
Recommended example
Customer enquiry triage workflow
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.
- Score 4–5 on Repetition + Value
- Score 1–2 on Risk + Complexity
- Has a clear single owner
Why this matters
Most AI projects fail before they start because the first use case is wrong.
SMEs often begin with a tool instead of a workflow. They buy software, try ChatGPT, or test an automation platform, but nothing changes because the underlying process was never mapped. An audit slows the decision down just enough to make the build faster, safer, and more useful.
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 an AI Opportunity Audit?
A practical review of how work moves through your business.
An AI Opportunity Audit is a practical review of how work moves through your business. We identify repetitive tasks, manual handovers, reporting bottlenecks, customer communication issues, and data risks, then recommend the best first workflow to improve.
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
What you walk away with.
Workflow review
Map the current process before recommending tools.
Opportunity scoring
Rank use cases by value, repetition, risk, adoption, and complexity.
First-project scope
Define the smallest useful version that can be built and tested.
Risk review
Identify data, privacy, security, adoption, and integration concerns.
Build quote
Turn the audit into a fixed-price build option when appropriate.
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 an audit looks like in different sectors.
Trades business audit
A field-service company prepares quotes manually from phone notes and photos. The audit recommends a quote intake form, internal pricing logic, and proposal draft workflow.
Retail operations audit
A retailer creates weekly reports by copying sales and inventory numbers. The audit recommends a reporting dashboard and AI-generated management summary.
Who this is for
- ✓SMEs unsure where to begin with AI.
- ✓Businesses that want a practical roadmap before spending on tools.
- ✓Teams with manual workflows but no internal developer.
- ✓Leaders who need a clear scope for budget approval or funding conversations.
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
Audits start from €750.
AI Opportunity Audits start from €750. A standard SME audit is usually €750–€1,500. Larger businesses, multiple departments, complex data, or several stakeholder interviews may require a larger scope.
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. It keeps the project practical and prevents the business from wasting money on the wrong first use case.
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 about the audit.
How long does an audit take?
Most focused audits take three to five business days after we have the required information. Larger multi-department reviews may take longer.
Do we receive a build quote?
Yes. The audit should end with a recommended first project and a fixed-price build option where enough scope is known.
Can the audit support grant conversations?
It can provide a useful project scope, implementation plan, and expected business benefit, but funding approval is handled by the relevant support body.
What if AI is not the right answer?
Then we say that. Sometimes the better first step is a form, dashboard, CRM workflow, training session, or simple automation.
Is the audit paid upfront?
Yes. The audit is paid upfront because it includes analysis, scoping, prioritisation, and a usable recommendation.
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.