AI automation by industry

Because the tools differ by industry even when the underlying job doesn't. An inbox-admin agent for a clinic has to work inside patient-management software and respect what can and can't be touched clinically. The same kind of agent for a trades business has to work inside a quoting and scheduling tool instead. The role itself, reading messages, applying rules, escalating what's uncertain, is similar across sectors. The systems it plugs into, and the specific things that must stay human, are not.

The sector pages above exist to make that concrete: what the repetitive work actually looks like in a given industry, which parts of it suit an agent, and which parts don't.

Replican isn't limited to them. Each one has a distinct, recognisable pattern of repetitive admin that's common across most businesses in that sector, regardless of their individual size or specialism. An accountancy practice chasing client records looks broadly similar whether it has three staff or thirty. A trades business chasing invoices after a job looks broadly similar whether it's a single plumber or a team of electricians. That consistency is what makes a sector page useful as a starting point, rather than a claim that every business in an industry works identically.

No. These are the sectors written up so far because the repetitive work in them is well understood, not because the model stops working outside them. The underlying approach (map the repetitive work, build against the client's real tools, deploy on infrastructure they own, then run it) doesn't depend on which industry the business is in. If your sector isn't listed here, that's a gap in what's been written, not a boundary on what can be built.

The better starting point if your industry isn't above is browse the roles we build, which describes the jobs Replican builds (SEO, lead generation, PPC, bookkeeping, inbox admin, customer support, content, operations) independent of sector. Most businesses recognise at least one of those roles regardless of what they sell. For a general sense of which tasks tend to suit automation and which don't, see what jobs can you automate with AI.

It changes what the agent connects to and which parts of the job are treated as strictly off-limits, more than it changes the underlying approach. A clinic's agent has to respect what's clinical and keep patient data locked down; a trades business's agent has to plug into a scheduling and quoting tool rather than a practice-management system. The map-build-deploy-run process described on how an AI employee is built is the same across every sector. The specifics inside each stage are what a sector page is written to illustrate.

If you run a business in an industry not covered here and think one of these roles applies, send a brief describing the job. The sector page is a starting example, not a requirement to qualify.