About
The automation is the easy part
Connecting two systems is a solved problem. Knowing which process to automate, what it costs you today, where a person has to stay in the loop, and what happens when it breaks at two in the morning — that is operations work. It is also the part most automation projects get wrong.
Cobyte is led by an operations professional who spent a career inside SaaS businesses running the functions most automation agencies have only read about: implementation, customer onboarding, support operations, service delivery, and the data workflows underneath them. The kind of work where a broken process is not a ticket — it is a customer who does not renew.
That background is the whole proposition. Someone who has run a support queue knows which questions are worth deflecting and which ones need a human. Someone who has onboarded clients at volume knows where the days actually go. The tooling comes second, and it always should.
We run what we build
Most agencies show you what they built for someone else. We also operate our own.
PromoMag — a five-vertical news publication drafted by a 61-node automation pipeline, where nothing reaches the site without a person approving it.
PromoBoost — a productised PR service where the automation is the fulfilment: payment to published placement in under 48 hours, with an editor still in the loop.
Choice For Music UK — an owned media destination with semi-automated placement intake and an editorial fit gate, so a guaranteed placement is still worth having.
A document anonymisation pipeline — speaker pseudonymisation, redaction identified by AI but applied by code, an audit log of every substitution, and deletion of the source once processed.
These are not demos. They run daily, they fail occasionally, and we are the ones who get the alert. That is a different kind of knowledge from having built something once and handed it over.
A small core and a deep bench
Cobyte is deliberately small. Engagements are led by the person who scoped them — you will not be introduced to someone and then handed to an account manager.
Where a project needs more hands, we bring in specialists we have worked with before: developers, operations consultants, and AI and automation engineers. That lets us take on work needing more than one person without carrying the overhead that pushes agency day rates up.
It also means we can tell you when something is not a fit, rather than staffing it because we have people to keep busy.
How we think about automation
AI drafts. Deterministic rules commit. Anything that publishes, pays, messages a customer or changes a record goes through a rule, not a model.
Approval gates before anything irreversible. The default state of every system we build is “waiting for a person”, not “already done”.
Failures should be loud. An automation that breaks silently is worse than no automation, because you stop checking it.
Reuse before you build. The best system is usually made from tools you already pay for and your team already understands.
Some processes should be stopped, not automated. Automating a bad process just means doing the wrong thing faster and more reliably.