Industrialising AI on a group-wide Azure platform
Turning AI pilots into production services on a shared Azure platform, with automated delivery and an API management layer in front of every model.
02 Services
DevOps
Delivery chains that take code from commit to production in minutes, safely, and keep it running afterwards.
01 Problems we solve
Where we usually step in.
- Releases need a change window, a checklist and the one person who knows the scripts.
- Each team built its own pipelines, and security checks happen late or not at all.
- Environments drift apart, so what passed in staging still fails in production.
- Monitoring shows servers, not the health of the services your business depends on.
02 What we deliver
Concrete deliverables, not slideware.
01
CI/CD platforms
GitLab CI, Azure DevOps, Jenkins or GitHub Actions pipelines with shared templates teams can adopt in a day.
02
Software factory
Artifact repositories, base images, dependency and code scanning (Xray, Checkmarx, Trivy) built into every build.
03
Infrastructure and configuration as code
Terraform, OpenTofu, Pulumi and Ansible, reviewed like application code and applied through pipelines.
04
GitOps and Kubernetes delivery
Helm charts, ArgoCD and progressive rollouts on AKS, EKS, OpenShift or RKE2.
05
Observability and SRE
Dashboards, alerting and service levels with Dynatrace, Grafana, Prometheus or ELK, plus on-call practices that hold up.
06
Build-to-run
Hand-over standards, runbooks and level 2/3 support so new services reach production ready to be operated.
03 How we work
Pick the engagement that fits the problem.
01
Consulting & audit
Architecture reviews, cloud and FinOps audits, platform roadmaps. A clear diagnosis and a plan your teams can execute.
02
Team extension
Senior engineers embedded in your squads, following your rituals and tooling, with knowledge transfer built in.
03
Delivery projects
A defined scope, a committed outcome: a landing zone, a migration, a CI/CD platform, an AI service in production.
04
Managed run
We operate what we build: monitoring, incident response, upgrades and cost control, under agreed service levels.
04 Related work
DevOps in practice.
Migrating a legacy estate and bringing Kubernetes on-premise
An obsolescence programme covering about a hundred applications, plus an on-premise Kubernetes platform aligned with the group's Azure services.
≈ 100applications migrated off obsolete systems
Running a critical CRM API platform on hybrid cloud
Operating and automating the APIs behind the insurer's customer relationship core, while cutting their cloud costs by more than half.
24APIs operated and monitored
Elasticity and cost control on AWS
A short, focused engagement to put the AWS foundation under code, strengthen auto-scaling and bring the cloud bill down.
−35 %on the monthly cloud bill
A secure software factory and the move to OpenShift
Running and securing the build chain used by the group's development teams, and moving it onto OpenShift.
Have a platform to build, migrate or fix?
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