Integration Engine Modernization
Migrate Fewer Interfaces Than You Have
The Challenge
You cannot migrate what nobody can specify
The undocumented interface is the schedule
Business logic living in the engine
The running configuration is more accurate than the documentation
Vendor sunset forcing the timeline
Without reliable matching across organizational boundaries, exchange returns nothing useful—or returns the wrong patient.
No safe cutover window
Migration scoped as everything
Our Approach
Discovery first, and expect it to change the scope
Step 1
Inventory everything
Step 2
Establish real usage from traffic
Step 3
Classify every interface
Step 4
Specify what survives
Step 5
Separate business logic from integration logic
Step 6
Design the target architecture
Step 7
Sequence by dependency group and risk
Step 8
Build, prove and cut over with rollback
Capabilities
Discovery, migration and the handover that makes it survivable
Assess
Estate Discovery and Traffic Analysis
Interface Specification From Production
Classification and Retirement Analysis
Platform Selection Support
Migrate
Interface Rebuild and Consolidation
Business Logic Extraction
Migration Factory
Shared Logic Standardization
Parallel Run and Output Comparison
Cutover and Rollback
Interface-by-interface cutover with a tested rollback executable by whoever is on call.
Operationalize
Target Architecture and Environments
Monitoring and Reconciliation
Documentation and Runbooks
Handover and Enablement
Where It Applies
Not every modernization is a migration
| Programme | What it is | The real risk |
|---|---|---|
| Engine-to-engine migration | Moving interfaces from one platform to another, usually driven by vendor sunset, cost or capability | Cutover on live clinical traffic, and discovering undocumented logic mid-build |
| On-premises to cloud | Relocating the platform, often with the same interfaces | Latency to on-premises source systems, connectivity resilience and the on-premises gateway becoming a new single point of failure |
| Post-merger consolidation | Combining two estates after an acquisition | Two sets of conventions, code sets and local extensions, and two teams who each believe theirs is correct |
| Point-to-point consolidation | Bringing direct connections back inside governed integration | Frequently the highest return work on this page and it needs no platform change at all |
Architecture
Decide the routing model before you move anything
| Model | Suits | Cost |
|---|---|---|
| Direct source to target | Estates with a small number of well understood connections and limited fan-out | Mapping effort grows with every new pair. Adding a destination means touching every source. |
| Canonical internal model | Estates where one source feeds several destinations, or where systems will be replaced over time | Upfront modelling effort and ongoing governance burden. Pays back when the fan-out is real. |
| Hybrid, canonical where fan-out exists | Most provider estates, honestly assessed | Requires the discipline to decide per interface rather than defaulting to one or the other. |
Environments and promotion, from day one
Monitoring and reconciliation designed in
Resilience proportionate to the traffic
The engine is not the estate
The Method
Parallel run is the method. everything else is preference.
Specify
Rebuild
Replay
Run in parallel
Compare continuously
Cut over
Hold recoverable
Retire
Readiness
The programme ends when your team can run it without us
Monitoring inherited by default
- Volume, error rate, latency and queue depth monitoring applied as a platform standard so every interface inherits it.
- Sent against processed reconciliation on every interface where partial loss would matter.
Documentation as a deliverable
- Interface specifications built from production traffic and maintained as current.
- Local extension and code translation catalogues.
- Runbooks covering failure behaviour, replay, escalation and rollback.
- A maintained inventory with owner, consumers, purpose, monitoring status and review date.
Governance
- Source control and promotion path for specifications, mappings and configuration, with production never edited directly.
- Named owners for technical operation, data definition, exception resolution and vendor coordination.
- A retirement process with dependency validation, shadow period and tested rollback.
Readiness gate
- The operating team has run a live incident, a replay and a rollback themselves, with the implementer observing rather than acting.
- Every migrated interface has a current specification, named owner and monitoring in place.
- The source estate is decommissioned rather than retained indefinitely.
- Outstanding defects and limitations are documented and accepted.
Outcomes
A smaller estate, documented, with nobody left holding it alone
| Category | What we measure | Why it matters |
|---|---|---|
| Estate reduction | Interfaces at end versus start, point-to-point connections consolidated, dead interfaces retired. | A migration that moved everything did not modernize anything. |
| Cutover safety | Cutover incidents, rollbacks executed, and defects found in parallel run versus in production. | The measure of whether the method worked. |
| Documentation coverage | Interfaces with a current specification, extension catalogue and named owner. | The durable benefit, and the one that outlasts the platform. |
| Detection | Failures found by monitoring rather than by a user, and time to detection. | Whether the new platform is actually better operated than the old one. |
| Team readiness | Incidents, replays and rollbacks handled by the internal team without escalation. | Determines whether risk was removed or transferred. |
| Standardization | Interfaces using common naming, mapping, error, monitoring and deployment patterns. | Whether historical variation is shrinking or being reproduced. |
| Knowledge risk | Critical interfaces dependent on undocumented individual knowledge. | The operational continuity measure. |
| Decommissioning | Source platform retired on schedule, and dual-running cost eliminated. | Where the business case actually lands. |
Send us your interface list. We will tell you how many of them are still carrying traffic.
Start with the clinical workflow, not the ambient AI platform.
Bring us a specialty or clinical setting where clinicians are spending too much time creating notes. We will assess where ambient documentation fits, what must remain clinician controlled, how it should integrate with your EHR, and how to measure whether it is actually reducing burden.
- AI Agents and Workflow Automation
- Voice and Conversational AI
- Document AI and Intelligent Processing
- Generative AI and Enterprise Copilots
- AI Strategy and Governance
- HCC and Risk Adjustment Analytics
Security & Compliance
