Keep Azure data, AI and application platforms stable after go-live
Production systems need ownership after launch. We help organisations monitor, support and continuously improve Azure data, AI and application platforms with clear runbooks, incident processes, cost controls and L2/L3 engineering support.
A platform is moving into live operation and ownership must be clear
Managed Services is the operate and optimise continuation of project delivery, not generic IT support.
Operate and improve business-critical Azure platforms
Go-live is approaching
A new platform is moving from project delivery into live operation.
Runbooks are incomplete
Monitoring, incident processes or operational documentation need to be defined.
Ownership is unclear
Your internal team needs L2/L3 support for a complex data, AI or application platform.
Cost needs control
Azure cost, performance and improvement opportunities need ongoing attention.
Support must improve the system
You want a partner who can improve the system after go-live, not only keep the lights on.
Start with a managed service readiness view
Each package gives your team defined outputs, pricing-guide access and a clear next decision.
Managed Service Readiness Review
Define monitoring, support model, runbooks, incident process, cost controls, ownership and improvement plan.
See pricing and our satisfaction guarantee
AI Governance and Production Readiness Review
Review security, privacy, responsible AI, access controls, logging, evaluation, cost and operations.
See pricing and our satisfaction guarantee
Azure Cloud Cost Optimisation Review
Review usage, tagging, rightsizing, reservations, monitoring and quick-win savings opportunities.
See pricing and our satisfaction guarantee
Data Quality and Governance Review
Identify critical data risks, ownership gaps, quality controls and the operating model for trusted data.
See pricing and our satisfaction guarantee
Azure Platform Delivery
Design and implement core Azure resources, networking, identity, DevOps, monitoring and deployment foundations.
See pricing and our satisfaction guarantee
Operational ownership for business-critical Azure platforms
Selected examples of L2/L3 engineering support, live-platform ownership and continuous improvement after go-live.
Real estate investment
Financial data platform kept stable through growth and change
Situation
After a cloud-based financial data platform went live, expanding usage and organisational change created a need for structured L2 support, rapid investigation and clear operational ownership.
Solution
We provide ongoing monitoring, root-cause analysis and coordinate fixes across data pipelines, APIs and application components, while supporting the product owner with technical investigations and impact assessment.
Benefits
- Maintaining reliable service for hundreds of users.
- Reducing disruption through structured issue investigation and resolution.
- Supporting the platform through an ownership transition without service interruption.
UK energy market
L2/L3 support for a national-scale energy platform
Situation
A business-critical Azure data platform processing more than one billion events daily required ongoing L2/L3 engineering support to protect operational resilience while the platform continued to evolve.
Solution
We support monitoring, incident investigation and optimisation across the platform’s data, application and infrastructure components, including Databricks, Kubernetes, databases and Azure monitoring services.
Benefits
- Sustaining reliable operation at national data-processing scale.
- Improving incident response through a structured L2/L3 model.
- Enabling performance and architectural improvements without interrupting live service.
Procurement technology
Ongoing operations for an AI tender product
Situation
Bidbot needed more than an initial AI proof of concept. The product required dependable data ingestion, user workflows, notifications and ongoing improvement as matching logic and customer needs evolved.
Solution
We designed, built and continue to operate the product and its cloud foundation, including tender ingestion, relevance ranking, user onboarding, dashboards, alerts and feedback-driven refinement.
Benefits
- Reducing users’ time spent filtering irrelevant tenders by 70%.
- Creating an operational product rather than a disposable prototype.
- Establishing a scalable foundation for continued feature and matching-quality improvements.
Start with a focused engagement
If you are not ready for a full managed service yet, start with a readiness review that defines support ownership, monitoring, runbooks, cost controls and the improvement path.