About Replican

What does Replican actually do?

Replican maps the repetitive work inside a business, builds an AI agent scoped to one real job, deploys it on a private server the client owns, and then keeps running it: monitoring it, tuning it, extending it as the job changes. That's four stages, in order: map, build, deploy, run. The "run" stage is the part most AI vendors skip. A tool subscription ends at delivery. Replican's engagement doesn't. See how an AI employee is built for the full process.

The catalogue of roles Replican builds (SEO, lead generation, PPC, bookkeeping, inbox admin, customer support, content, operations) is presented as a set of examples, not a fixed menu. Browse the roles Replican builds for the current list, and note that a job not on it is still worth describing in a brief.

Who runs Replican?

Replican is founded and run by Jason. There's a page with more detail on what Jason writes and works on. The short version is that he builds the AI employees Replican deploys and writes the guides on this site, including the ones on GDPR, the EU AI Act and how the build process actually works.

This page deliberately doesn't list a founding date, a team size, an office, or a headcount. Not because those details are secret, but because none of them tell you anything useful about whether Replican can do the job you need done. A large team doesn't guarantee a well-mapped escalation boundary, and a small one doesn't disqualify a build from working properly. What matters is the model and what it's built on, both covered below.

Why does Replican run its own accounting system?

Because it's the strongest honest proof available that the model works, and it's verifiable in a way a testimonial isn't: Replican built and operates its own production accounting and invoicing system in-house, used for its own books, including automated bank-transaction matching, recurring invoicing and reconciliation. That's not a demo. It's the actual system Replican relies on to get paid and keep its own accounts straight, running the same kind of agent it builds for clients doing bookkeeping and accounts admin.

The reasoning is simple: an agency selling AI employees that doesn't trust one to run its own books is telling you something, whether it means to or not. Replican runs on the thing it sells, day to day, because that's the only kind of proof that can't be faked or bought.

Does Replican have client work it can talk about?

Yes, in general terms. Replican has live deployments handling real work for real businesses today: inbox triage, bookkeeping admin and similar roles, running continuously rather than as a one-off project. What isn't shared is who those clients are, what industry they're in beyond what's generic, or any number attached to the result. No client has agreed to be named, and Replican won't identify one without that agreement, full stop.

Why are there no logos or case studies on this site?

Because no client has agreed to be named, and Replican isn't willing to publish a case study, a metric, or even a generic-sounding "industry" detail specific enough to identify someone without asking first. That's a genuine limitation on what this page can show you, and it's worth saying plainly rather than working around it with vague language that implies proof without providing any.

It's also deliberate, not just circumstantial. A market full of AI agencies is currently publishing numbers nobody can check: "80% of enquiries handled automatically", figures with no source and no way to verify them. Replican would rather show you nothing than show you something invented. If that means this page has a gap where other agencies would put a client logo wall, that gap is honest, and it's more useful to you than a wall of logos you couldn't verify anyway.

Why does this agency exist?

Because most AI agencies sell a tool and leave. They configure something, hand over a login, and the relationship effectively ends at delivery. That's a reasonable model for software, and a poor one for something doing daily work inside your inbox, your accounts and your client relationships without anyone watching whether it's still doing the job correctly six months later.

And because most of the proof this market publishes can't be checked. Metrics with no source, testimonials with no name attached, "trusted by" claims with nothing behind them. Replican was built around a different bet: that a business would rather see the actual model (infrastructure it owns, an agency that stays after deployment, an honest account of what won't be automated) than another number it has no way to verify. See what Replican won't automate for that same honesty applied to the work itself, not just the marketing around it.

What does "runs" mean, in practice?

It means Replican doesn't consider the job finished when an agent goes live. After deployment, Replican monitors how the agent is performing against the rules it was built with, tunes those rules as edge cases turn up, and extends the agent's scope if the job it's doing grows. The alternative, building something and disappearing, is how AI projects quietly stop working six months in, with nobody paying attention until something breaks. Replican's ongoing role is the difference between a project and an employee, which is the entire point of the name.

What does Replican actually build agents on top of?

Whatever tools a client already uses: Gmail or Outlook, Xero, Sage or QuickBooks, a CRM like HubSpot or Pipedrive, spreadsheets, WhatsApp, Slack. Replican doesn't ask a business to migrate to a new platform in order to get an AI employee; the agent is built to work inside the systems already in place, because that's where the actual work happens and where a person would otherwise be doing it by hand.

How does Replican decide what to build?

Every engagement starts with mapping: walking through the actual job as it's really done, not as it's described on paper, and identifying where a stable, repeatable pattern exists and where a person's judgement genuinely needs to stay involved. That mapping stage sometimes ends with a recommendation not to build anything. See what we won't automate for the categories of work that fall into that outcome regularly. Replican would rather turn down a build that shouldn't happen than deliver one that was never going to hold up.

How do I find out if this fits my business?

Read how an AI employee is built for the process, infrastructure you own for how deployment and data ownership work, and how to choose an AI automation agency for the questions worth asking any provider, Replican included. Past that, the honest next step is describing the actual job.

Send a brief outlining the work you'd want taken off your plate, or contact Replican directly at hello@replican.ie.