We take one important part of how your business runs, work out how it actually works, and find where time, information and responsibility are being lost. Then we fix one or two things — using AI where it genuinely helps — and measure whether it worked.
As a business grows, the work spreads out faster than anyone's understanding of it does.
Nobody planned it. Responsibilities get split. Systems get added one at a time. Knowledge ends up in a few people's heads and in a lot of inboxes. Owners and managers become the bottleneck because they are the only ones who can see across the whole thing.
Then AI arrives, and it gets pointed at a process nobody has properly looked at. AI runs on whatever coherence a business already has. Where things are clear, it helps. Where they are muddled, it spreads the muddle faster.
So we start with understanding, not technology.
One workflow that matters and costs you real time. Whole-business reviews take months and produce documents nobody reads.
Not how the procedure says it runs. We talk to the people doing the work, follow the information, and pay attention to the exceptions and the workarounds — that is usually where the cost is hiding.
Handling time, cycle time, volume, backlog, where things get stuck. If the data isn't there, we build a baseline by sampling and observation. Without a baseline, an improvement is just an opinion.
Better intake, automated follow-up, drafting, classification, retrieval, a dashboard — whatever the analysis actually points at. AI where it earns its place, ordinary software where that is the right answer.
Against the same baseline, and again a month after handover, because plenty of improvements slip back. You own what we build.
Automating a broken process makes it break faster and more consistently. The analysis comes first, every time.
Measured, modelled and guessed are three different things. We label which one we are giving you.
Every automated workflow gets defined limits: what it may do, what it may not, where a person has to approve, what gets logged, and how to switch it off. Anything consequential keeps a human in it.
Data minimisation, access control, audit trails and GDPR obligations are part of the build, not a checklist in the final week.
Accounts, data, systems and documentation are yours and stay in your name. We are not trying to become part of your monthly costs.
You know what you are getting and what it costs before we start. No open-ended retainers.
Twenty-five years in learning, organisational performance and digital transformation, across higher education, medical education, professional development and corporate learning. Leads the analysis, the interviews and the client work.
The technical side — data analysis, automation and agent design, integrations, measurement, and the security of anything we build — is led by a data scientist working alongside Conal. Small on purpose: you deal with the people doing the work.
Optech's education and learning-design practice continues at optechlearning.com.
If some part of how your business runs is costing more time than it should, a short conversation costs nothing and will usually tell us both whether there is something here worth doing.
conal@optech.ie