00For manufacturers

Where AI saves time in a manufacturing business.

In manufacturing and fabrication firms the biggest AI wins are rarely on the machines. They're in the work around the work: quoting, job tracking, drawing control, compliance paperwork and reporting. That's where skilled people lose hours every week to copying, chasing and re-typing. An AI audit finds which of those is costing you most, and sizes it before anything is built.

01The usual time-sinks

Six places the hours tend to hide.

These are the patterns an audit looks for. What actually applies to your business is whatever the interviews turn up.

01 · QUOTING & ESTIMATING

Quote packs that take half a day

  • Looks like: pricing in three spreadsheets and an email thread, re-typed for every enquiry
  • The audit checks: where enquiry data is re-entered and how prices and lead times are pulled together
  • Often helps: quote packs generated from job data, with a person checking rather than typing
02 · JOB COSTING & SCHEDULING

Nobody knows where a job stands

  • Looks like: asking the workshop for status; actual hours found out weeks after the quote
  • The audit checks: how hours, materials and progress are captured
  • Often helps: simple job tracking that feeds costing and the schedule without extra typing
03 · DRAWINGS & REVISIONS

The wrong revision on the shop floor

  • Looks like: revisions going back and forth by email; work started from an old version
  • The audit checks: how drawings are issued, checked and superseded
  • Often helps: issue notices and revision logs that make the latest version the only one in circulation
04 · COMPLIANCE & QUALITY RECORDS

Friday spent chasing paperwork

  • Looks like: EN 1090 and ISO 9001 records, material certificates and traceability assembled by hand for each job
  • The audit checks: which records are built manually, and where gaps only show up late
  • Often helps: document packs assembled from existing job data, with gaps flagged before a customer or inspector finds them
05 · PURCHASING & STOCK

Ordered twice, or short on the day

  • Looks like: materials ordered from memory, or found missing when the job starts
  • The audit checks: how demand, stock and orders connect
  • Often helps: reorder alerts and draft orders generated from the job list
06 · REPORTING & ADMIN

The same numbers, typed three times

  • Looks like: weekly figures re-keyed into several systems that never quite agree
  • The audit checks: every report that is assembled by hand
  • Often helps: reports generated from the source data on a schedule
02What a saving can look like

Illustrative example, not a client result.

A 12-person manufacturer spends about 4 hours per person per week on manual order-status updates and reporting: 48 hours a week across the team. An audit finds that roughly half is work an automation can do, by pulling status from existing systems and generating the report.

ILLUSTRATIVE EXAMPLE · NOT A CLIENT RESULT

HOURS SAVED / WEEK~24
VALUE PER YEAR (€29/HR)~€36,000
BUILD COST (ILLUSTRATIVE)€7,000
YEAR-1 RETURN AFTER BUILD COST~415%

Built from typical SME time-sink patterns, not a specific client. 24 hours × €29 × 52 weeks ≈ €36,000. Put in your own numbers with the ROI calculator.

03How the audit runs

We talk to the people who do the work.

In a fabrication or engineering firm that usually means the owner or MD, whoever builds the quotes, the production or workshop lead, and whoever chases the paperwork. Interviews are 30–45 minutes each, on video call at times that suit the shop.

Nothing else is asked of the shop floor. The audit needs your time and existing documents, not sensitive data.

  • 01

    The owner or MD: what feels slow, and what it costs.

  • 02

    Estimating and office: how quotes, orders and admin actually flow.

  • 03

    Production and quality: how jobs are tracked and how the paperwork gets built.

04Cost and grants

€3,000–5,000 fixed, and possibly grant-funded.

For a small firm of roughly 10–20 people the AI audit is a fixed fee of €3,000–5,000, agreed before work begins. Manufacturing companies with 10 or more full-time staff may qualify for the Enterprise Ireland Digital Discovery Grant, which can cover 80% of a strategic consultancy engagement like this, up to a €5,000 grant, subject to Enterprise Ireland's approval. Terms change, so check current eligibility.

05Common questions

What manufacturers usually ask.

Do you only work with manufacturers?

No. Manufacturing and engineering are the main focus, but the audit method works for any business with repeatable processes, such as quoting, orders, jobs, reporting or compliance paperwork. Very small businesses rarely have enough repeated work for an audit to pay back.

What do you need from our team?

Mostly time, not data: a 30 to 45 minute interview with each person involved (leadership and the people doing the work), recorded with their permission, plus whatever process documentation already exists. Nothing sensitive is required for the audit itself. Data handling for any build is scoped and agreed separately.

Who owns what you build?

You do. Anything built for your business is yours outright, with no ongoing licence fee to keep using it.

What tools do you use?

Whatever fits the problem and your existing stack. Most builds lean on Claude/Anthropic tooling, standard automation platforms, and custom software where nothing off-the-shelf fits.

What about our data?

The audit needs your time and existing process documents, not sensitive data. If a build needs access to your systems or data, how that's handled is scoped and agreed separately before anything is connected.

Do you guarantee savings?

No. The audit puts a number on each opportunity using your own figures and shows the assumptions behind it, but results depend on how a change is adopted. Any example figures on this site are labelled as illustrative.

More on the full FAQ.

06Next step

Tell us which job is the slow one.

A free 30-minute call is enough to say whether an audit would pay back for your business. No pitch deck, nothing to prepare.