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Ordinary LabsBook an audit

AI agency · Dublin

Ordinary AI for ordinary businesses.

Ordinary Labs takes a business from the sentence “we should use AI” to a running system in ninety days. We map the work, build the one thing that pays for itself, put it into production then keep it running.

90
days from problem to running system
6
solution patterns we build from
1
accountable owner, start to steady state
01The shift

This has happened before

In the early 2000s every business suddenly needed a website and almost none could build one. A generation of agencies filled that gap. They translated a new technology into working systems for ordinary companies, one project at a time.

The same gap has opened around AI. The technology is ahead of the businesses that need it, the skills are scarce and most buyers have no way to judge what they are being sold. Ordinary Labs is built to be the translation layer.

2001The web
  • Every business needed a website.
  • Almost none had the skills in-house.
  • Web agencies filled the gap and won the decade.
2026AI
  • Every business is told to adopt AI.
  • Few have the capability in-house.
  • The same gap is open and waiting to be filled.
02The problem

Pressure without capability

Irish firms are under real pressure from boards, competitors and customers to adopt AI. Very few have anyone in-house who can carry that from intention to a working system.

  • No map

    They do not know which of their processes AI can genuinely improve, or what the return would look like when it does.

  • No builder

    AI engineers are scarce and expensive to hire. Advice is easy to buy. Working software is the hard part. Vendor claims are difficult to verify.

  • No owner

    A pilot that does get built needs someone to host it, monitor it, update it and support it once real people depend on it.

What these firms need is one accountable partner who maps the opportunity, prices it honestly, builds it then keeps it running.

03How it works

From a problem to a running system

Clients arrive with a problem in hand and no specification written. We work in any industry, because the offer is defined by process and outcome.

From “we should use AI” to a running system in 90 days.

  1. 011 to 2 weeks

    Audit

    We map your workflows, find where the return actually sits and cost the roadmap.

  2. 024 to 8 weeks

    Build

    We prove one use case properly, working, on your own data.

  3. 032 to 4 weeks

    Deploy

    We put it into production, integrated with your systems and signed off by your people.

  4. 04Ongoing

    Manage

    We host it, monitor it, update it and support it on a retainer.

You see one owner from the first meeting through to steady state. That end-to-end ownership is the product.

04What we build

Six patterns, applied to your work

Most problems resolve into one of six recurring patterns. Each one has a reference architecture, a quality checklist and pricing logic behind it, which is what keeps delivery fast and the price honest.

  • PB-01

    Document processing

    We extract, classify and route the information trapped in invoices, contracts and forms.

  • PB-02

    Chat and voice agents

    We build customer-facing agents that answer questions, triage requests and take bookings.

  • PB-03

    Knowledge assistants

    We build internal assistants that answer questions over your own documents and systems.

  • PB-04

    Workflow automation

    We run multi-step processes end to end, with a person checking the steps that carry real consequence.

  • PB-05

    Forecasting and analytics

    We predict demand, cashflow and capacity from the operational data you already hold.

  • PB-06

    Content generation

    We build on-brand drafting systems for marketing, tenders and reporting.

05How we work

One owner, senior hands, EU by default

  • One accountable owner

    You deal with one person who owns the commercial and technical side of your project from the first meeting to steady state.

  • Priced to the project

    Every engagement is quoted against a defined scope. The audit is what makes that possible, because it gives both sides the information to price the rest of the work honestly.

  • Senior specialists per project

    Specialist capacity is brought in for each build and selected on capability, cost and data requirements. Every delivery passes our own technical quality gate.

  • EU hosting by default

    Client systems run on EU infrastructure by default and every build partner works under a data processing agreement. Sign-off is faster when the data never leaves.

06Engagements

Three ways in, one direction of travel

Every engagement enters at the audit. Everything after it is quoted against what the audit finds, which means you never buy uncertainty.

11 to 2 weeks

AI audit

typically €2,500 to €7,000

We map your workflows, identify the two or three highest-return opportunities and deliver a costed roadmap you own outright.

  • Workflow map of the areas you nominate
  • Two or three opportunities, sized by return
  • A costed roadmap with timelines
Book an audit
24 to 8 weeks

Pilot

quoted from the audit

One use case, built properly and running on your own data, scoped against the findings of the audit.

  • A working system, not a slide deck
  • Built on your own data
  • Measured against the return the audit predicted
Talk about a pilot
3Ongoing

Deploy and manage

project fee plus a monthly retainer

The production build, then hosting, monitoring, updates and support for as long as you need the system to keep working.

  • Integrated and signed off in production
  • Monitored, updated and supported
  • One number to call when something breaks
Talk about a deployment
07Who we work with

Generalist by industry, specific by process

We work with Irish SMEs and mid-market firms that are large enough to have real process pain and too small to build an AI team of their own. Document-heavy and service-heavy operations are where the six patterns land first.

The same patterns apply whether the work sits in logistics, a clinic group, a professional-services practice or a public body building tools that citizens actually use.

  • Logistics and distribution
  • Healthcare and clinic groups
  • Professional services
  • Manufacturing
  • Financial services
  • Public sector and citizen services
08Who runs it

A technical founder who sells

Ordinary Labs is led by Mateen, a technical founder based in Dublin. His background is in AI, with years of RFP and procurement delivery for government and NGO buyers behind it.

That combination is what the business runs on. Structured buying processes, formal requirements and cautious buyers are familiar ground. The person selling the work is the person who designs it.

09Contact

Tell us what is slow, expensive or manual.

The first conversation costs nothing. If there is something worth building, the audit is a two-week decision and you own everything it produces.

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