Modern Data
& Integration
Your systems know the answer. Getting them to talk is the hard part. Specialist data and integration capability, deployed when your programme needs it.
Agencies Built Systems for Themselves.
Now They Need to Share.
Years of agency-specific technology investment created data and systems that only the agency could use. The mandate has shifted. Interoperability, open APIs, and shared data layers are now the direction. Most agencies don't have the specialist capability sitting in their BAU team to make that shift.
Siloed data, interoperability mandate
Legacy systems hold data in formats and structures designed for internal use only. Exposing that data for cross-agency reuse requires integration architecture and API work that most teams haven't needed to do before.
Common capability creates uncommon workload
Every agency connecting to a shared government platform generates integration work at both ends. The more agencies adopt common capabilities, the more connection points need to be designed, built, and tested simultaneously.
Data pipelines don't manage themselves
Admin-data programmes, health data ecosystems, social sector data sharing - all require specialist data engineers and architects to design and maintain pipelines. That work is ongoing and technically demanding.
The Skills Are in Short Supply.
The Demand Is Not.
Data architects, integration engineers, API designers, and data pipeline specialists are in sustained demand across the entire public sector. Agencies running interoperability programmes, common capability transitions, and data-first initiatives are all competing for the same profiles. Standard hiring cycles don't move fast enough. Neither does a permanent hire for work that peaks at design, surges at implementation, and steps back after go-live.
The capability model needs to match the demand curve - specialist expertise available when each workstream opens, without a new procurement cycle every time.
Four Capability Types. One Relationship.
Each maps to a real workstream type. The deployment mode is selected at the point of need, not locked at engagement.
Data Architecture & Design
Current-state assessment of data structures and flows. Target architecture design. Integration roadmap aligned to programme milestones. Delivered as a scoped outcome with defined deliverables.
API Design
API design aligned to GCDO standards and interoperability requirements. SCALE for defined API delivery workstreams.
API Implementation
Implementation specialists deployed as workstreams open. SCALE for ongoing implementation capacity.
Platform Delivery
Pipeline engineering, data movement, platform delivery, and migration execution as scoped objectives.
Engineering Support
Data engineers and platform specialists deployed at workstream peak. Knowledge stays in-programme across phases.
Ongoing Platform Management
Managed data platform operations post-build. Monitoring, support, performance management, and incident response. SLA-backed continuous coverage from the team that built the platform.
One Approval. The Right Mode at Every Phase.
Define the scope. Transfer the risk.
When a data or integration workstream has bounded deliverables - architecture assessment, API design, a migration tranche - a scoped outcome via Government Marketplace Professional Services fixes accountability and milestones.
Deploy specialists as workstreams open.
Data architects, integration engineers, API developers, and pipeline specialists placed via AOG TAS. Agency-directed. Available within 48 hours. Stepped back when the workstream closes. No emergency hire cycle.
Hand off operations post-build.
When the platform is live, transition to a managed service. The same team that built it manages it. No onboarding lag. No context loss. Operational continuity from day one of go-live.
The specialist who scoped the integration implements it. Knowledge stays in-programme across every phase.
How many of your systems can another agency use right now?
That number is about to matter.
Your Data Programme Needs Specialist Capacity.
Talk to us about your integration or data workstreams. We'll map the capability and deployment mode that fits - no generic pitch.