Map the workflow
We identify the repeated steps, handoff points, exceptions and systems before writing automation logic.
ai workflow automation ireland
Make and n8n workflows, wired around the tools you already pay for.
Connect forms, inboxes, calendars, CRM and spreadsheets with automation that logs what it did, retries what it can, and escalates what it cannot.
Part of ourbusiness automation workfor Irish SMEs.
typical systems
Best fit
- CRM and spreadsheet updates
- Inbox triage and customer handoff
- Booking reminders and follow-ups
- Make, n8n, email, forms and reporting tools
Automate the repeat work
AI handles drafting, sorting, summarising and routing while Make or n8n connects the tools.
Report what happened
The business gets useful reporting: what came in, what moved, what failed and what needs attention.
use cases
Use cases that remove manual handoff.
Good automation starts with one repeat workflow, not a vague AI transformation project. We pick the handoff that costs time or loses leads.
New enquiry captured, qualified and pushed into the right CRM stage
We define what triggers the workflow, what data is required, where it is saved and who gets notified when an exception appears.
Inbox requests sorted, summarised and assigned before they go stale
We define what triggers the workflow, what data is required, where it is saved and who gets notified when an exception appears.
Weekly reporting pulled from forms, spreadsheets and operational tools
We define what triggers the workflow, what data is required, where it is saved and who gets notified when an exception appears.
what we build
What we build
A process map showing triggers, tools, owners, exceptions and failure points
what we build
What we build
Make or n8n workflows that connect forms, email, calendars, CRM and spreadsheets
what we build
What we build
AI steps only where they add value: drafting, summarising, classifying or extracting
data and controls
Data and controls before the workflow goes live.
We document what data enters the workflow, what each tool can access, where records are stored and what happens when an automation cannot complete safely. Read the AI data-processing approach.
before you book
Questions before booking
Do we need to replace our current software?
Usually no. The first useful automation often connects the tools you already use instead of forcing a new platform.
Where does AI actually fit?
AI is useful for language-heavy steps: summarising emails, drafting replies, extracting details and classifying requests. Rule-based steps should stay rule-based.
What happens when automation fails?
Every workflow needs a visible fallback: error logs, human review, retry rules and a clear owner for exceptions.
Get a fixed quote before anything is built.
A free 20-minute call, then a written price and a launch date. No obligation.
Get a fixed quote