Integration between the systems you already run, scheduled jobs with named ownership, cross-system reactions and the auto-recovery that keeps them honest — because an automation that fails silently is worse than no automation.
The expensive work in most organisations is not inside any system. It is the copying, the chasing, and the scheduled job nobody owns. It is also the easiest of it to make disappear — and the easiest to make disappear badly, because an automation that fails silently is worse than the manual process it replaced.
What we build
The CRM, the finance system, the ticket tracker, the inbox, the warehouse. API-level integration where one exists, resilient webhook handling where it is pushed, and a thin anti-corruption layer so a schema change in one system does not fan out into five.
Every job in the estate is owned by someone, documented, versioned and logged. The question "what is this cron for" has an answer that is not a search of a wiki from four years ago.
Events in one system driving work in another, with idempotency on the receiving side, retries with backoff, poison-queue handling and a defined path for the cases that need a human.
Not only that it failed. A silent success is indistinguishable from a silent failure, and the second one is why the automation got built. Heartbeat telemetry, last-success timestamps and a check that resolves to unknown rather than pass when the heartbeat stops.
Exception queues, review interfaces and the design decision for which cases the automation should refuse rather than guess. The failure mode of an automation is not that it stops — it is that it keeps running after it stopped being right.
The hard parts
A vendor who cannot tell you where their own discipline is difficult has either not done it or is not going to tell you the truth about your project either.
The thing that makes an automation worth building also makes a failure easy to miss: nobody is watching the job because the job was built so nobody has to. Every automation needs a verifier that is run on a different cadence, by a different mechanism, than the automation itself.
APIs change, undocumented behaviour shifts, rate limits move. An automation that integrates five systems is a schedule of five future surprises; the only answer is contract tests at every boundary and the engineering to notice when a contract starts drifting.
An exception that happens weekly is an exception. The same exception happening daily is a process, and automating it entrenches the thing that was wrong rather than fixing it. The first conversation is usually about whether the process should exist at all.
Stack
The full stackThis is what we reach for when the decision is ours. When you already have an estate, we work in it — the stack is part of the engagement, not a precondition of it.
Roles we staff
The reasoning, published
Every capability has a matching domain in the knowledge library. Read it before you talk to us — it is the fastest way to tell whether we know what we are doing.
Recovering the original meaning of the metaphor, distinguishing the four kinds of debt, and making the interest payment visible in terms a finance function can act on. Including the cases where not paying it down is the correct answer.
Advanced · 11 minA test suite is a portfolio of instruments bought to answer different questions, not a coverage number to be maximised. How to design one for daily deployment, including flakiness, contract testing and the legitimate role of testing in production.
Practitioner · 11 minBranching strategy is a batch-size decision with organisation-wide consequences, not a matter of developer taste. Why merge cost rises with branch age, what replaces the long-lived branch, and what must be true before trunk-based development works.
Practitioner · 9 minHow to buy it
Capability answers who works on it. The engagement model answers what we are accountable for, how it is priced and how it ends.
Other capabilities
Probabilistic systems
LLM applications, retrieval systems, agents and applied ML built to a standard you can put in front of a regulator — with evaluation harnesses, cost controls and failure behaviour designed in rather than discovered in production.
Software that acts
Systems that choose their own next step — tool-using agents, orchestrated workflows and automation that spans your existing systems — designed so that what they are permitted to do, and what happens when they are wrong, are decided up front.
Irreversible deployment
Protocol and application development where a deployment cannot be rolled back and a defect is a withdrawal. Contract engineering, security review, upgradeability design and the on-chain boundary decision.
Gated releases
iOS, Android and cross-platform applications delivered continuously despite a third party sitting between your merge and your users — staged rollouts, feature flags, release trains and a native-versus-cross-platform decision made on economics.
The paved road
The substrate the other three stand on: cloud infrastructure, deployment pipelines, observability, data platforms and the internal paved road that determines how fast every team above it can move.
Software that moves
ROS2 applications, perception and state estimation, embedded and motor control, and the simulation-first workflow that lets behaviour be proven in a simulator where failure costs nothing before it meets hardware.
Evidence over opinion
Checks, runs, metrics and incidents across web, publishing, AI and blockchain systems — flow metrics with their denominators, daily verification of live products, and alerting designed not to cry wolf.
Publishing at cadence
Ghost and headless CMS work, editorial workflow and scheduled publication, membership and subscription publishing, and the migrations that move a publication between platforms without losing URLs or archives.