Digital Signet is an AI-native software studio: a team of AI agents directed by twenty years of delivery experience. We build the internal tooling your platform team has been putting off: CI/CD improvements, cost and usage dashboards, migration tooling, observability integrations, deployment automation. Fixed quote in two working days. Builds ship in weeks, not months.
Digital Signet is not a traditional agency. A directed team of AI agents does the volume of the build work. A senior engineer with twenty years of shipped software directs it, reviews everything, and takes responsibility for what goes out. That is the whole model, and it is why the economics look wrong next to an agency quote: senior-grade software in weeks, at a fixed price, without a bench of juniors on the invoice.
The output is deliberately boring. Versioned code in your repository, tests, CI/CD, documentation your engineers can pick up without us in the room. The method is new. The engineering standards are not.
The model is not a theory either. It runs daily on enterprise client work, including AI-anchored Azure platforms for a UK data transformation consultancy, with the CI/CD and review discipline that enterprise clients audit.
Platform and DevOps teams sit on a permanent backlog of "we should build this ourselves". The reasons are always the same. The vendor tool almost does the thing. The team could stitch it together. The team is buried in on-call and incident response. The build never quite starts.
That backlog is where Digital Signet builds. Concrete shapes of recent work:
Straight list:
Case studies are anonymised. The technical detail is the point. Three with the constraint profile platform engineers recognise: offline-first field constraints, architecture that had to survive review by the biggest vendors in the world, and the engagement where the AI-agent delivery model runs daily.
Offline-first Angular on tablets, server-side AutoCAD DXF parsing rendered to SVG, and a master-merge portal reconciling every tablet's submissions without re-keying. Running daily across a national survey fleet, and it kept running through a corporate acquisition of the business unit.
Angular 18, .NET Core 8, Azure OpenAI, SignalR, Power BI, with CI/CD held across dev, test and production for enterprise clients. The engagement where the team-of-AI-agents delivery model runs on real client work every day.
Six months prototyping the riskiest decisions in code alongside two of the largest enterprise vendors in the world. Team-scale estimates and a risk register the client used to hold its partners to account.
We also build and run independent buyer-research tools in this space, including egresscost.com and cicdcalculator.com. If you arrived here from one of them, you have already used our work.
Every engagement runs the same shape.
Internal developer platforms and the tooling around them. CI/CD pipeline improvements, cost and usage dashboards, migration tooling, deployment automation, observability integrations, self-service platforms for developers. If a platform team member says "we should build this ourselves" then does not have the time, that is the shape of what we build.
AWS, Azure, GCP on cloud. Kubernetes, ECS, App Engine on runtime. GitHub Actions, GitLab CI, Buildkite, CircleCI, Jenkins on CI/CD. Datadog, Grafana, New Relic, Honeycomb on observability. Terraform, Pulumi, CloudFormation on infra as code. We build against whatever you already run. We do not replatform you.
Augment. Platform teams are usually short on hands, not on ideas. We take on the specific builds your team knows it should ship but has not had time to. Delivered in weeks with a fixed quote. You keep the platform team focused on the ongoing operational work only they can do.
Single-purpose builds (a cost dashboard, a deployment script, one integration) run £4,000 to £15,000 fixed quote, delivered in three to six weeks. Multi-part platform work (an internal developer portal, a migration toolchain, observability standardisation) runs £20,000 to £60,000, delivered in six to twelve weeks. Ongoing engineering retainers start at £1,500 per month.
Least-privilege access to your infrastructure, provisioned by your team, rotated at engagement end. Read-only where possible. If a build needs write access to production, it is scoped to a specific scoped role and time-limited. NDA and DPA before scoping. Independent UK consultancy, no offshore team.
A directed team of AI agents produces the volume of the code. A senior engineer with twenty years of delivery experience directs the work, reviews everything, and takes responsibility for what ships. The review, testing and CI/CD discipline is what you would expect from a senior team. What changes is the economics and the speed. The same model runs daily on enterprise client work, not just internal projects.
Related: Security stack engineering · IT cost visibility · Tech partnership
Two paragraphs is enough. The stack you run, the tooling gap, what "good" looks like. Written back within two working days with a shape, a price and a timeline.
