Development & AI · Builds
Build what the workflow still needs.
Applications, pipelines and AI work on Microsoft and cloud-native stacks, agreed milestone by milestone, from a Copilot rollout to an agent that does one job well.
At a glance
- For
- Teams with a workflow no product covers
- Stacks
- .NET, Blazor, cloud-native, Azure
- Runs as
- Sprints with a demo at the end of each
- AI work
- Microsoft Copilot, agents, automation
Scope
Three kinds of build.
01
Application development
- Custom cloud-native applications and microservices
- .NET and Blazor web, mobile and Windows applications
- App modernisation and re-platforming
02
DevOps
- CI/CD pipelines
- Infrastructure as code with Terraform, ARM and Bicep
- Kubernetes and containerised services
03
AI development
- Finding the workflows where AI is worth the effort
- Microsoft Copilot rollout, governance and adoption
- Purpose-built agents and automation
How a build runs
Small milestones, each one shown working.
- 1
Discover
Name the capability the workflow needs and agree the first milestone.
- 2
Build
Sprints across development, test and production environments, with scope and acceptance agreed per milestone.
- 3
Ship
Automated promotion and rollback. A demo closes every sprint.
- 4
Improve
The next milestone, based on what the last one showed in use.
AI work starts with the process, not the model.
Copilot governance and agents are scoped against a named workflow and the data it may touch. Which tools and models a build uses is agreed per engagement.
Next step
Describe the workflow.
What it does today, who uses it and where it breaks. The team replies by email.