01Discover
Before anything is designed we map what happens today: who touches the work, which systems it passes through, where it stalls, and what a good outcome would look like in numbers. Most of this stage is questions rather than proposals. It ends when we can describe your current workflow back to you accurately enough that you would recognise it, including the parts that are inconvenient.
What you getA map of the current workflowThe systems and constraints it depends onAn agreed definition of the target result
02Define
The opportunity becomes a specification before it becomes code. We write the architecture, the boundary of what is in and out of scope, and the criteria that will later decide whether the system worked. This is deliberate: on our AI course platform every specification was written before implementation began, because AI products drift when behaviour is agreed informally. If a requirement cannot be stated clearly enough to test, it is not ready to build.
What you getSystem architecture and data modelWritten scope, in and outMeasurable success criteria
03Design
Design covers both what people see and what the system decides. Alongside the interface we specify the automation logic: which cases are handled automatically, which are escalated to a person, and what the system does when it is not confident. Getting those rules right at this stage is the difference between an assistant a team trusts and one they learn to route around.
What you getInterface and UI systemAutomation and escalation rulesThe end-to-end interaction model
04Develop
Building happens in increments that are integrated and tested as they land, rather than stacked up for a single reveal. The work includes the parts that are easy to defer: authentication and data layers, credential handling, third-party connections, error handling and alerting. We would rather ship a narrower system that behaves correctly under real load than a broader one that demonstrates well.
What you getWorking increments, integrated as they landAuthentication, data, and credential handlingError handling and alerting
05Deploy & Improve
Release runs on infrastructure that can be repeated: containerised, with the pipeline and health checks that let it be deployed again without ceremony. Our commerce platform runs zero-downtime rolling deployments for exactly this reason. After launch we watch real usage instead of assuming, tracking what the system handles, what it escalates, and where it gets things wrong. Delivery includes the monitoring and handover you need to keep extending the system without us.
What you getContainerised deployment and CI/CD pipelineMonitoring, health checks, and analyticsDocumentation and handover
