01
Define the contracts, then the connections
Which system owns which fact, what an event means, and what happens on conflict. Most integration failure is undefined ownership, not bad code.
What we do · Extend
Six systems.
One operating platform.
Rent, extend and own only works if the pieces behave as one system. Integration is where that promise is either kept or quietly broken.
What we do · Extend
Six systems. One operating platform.
Only works if the pieces behave as one
Rent
Commodity
Extend
Platforms
Own
Strategic
The stack
01
Experience
02
Owned services
03
Integration
04
Platforms
05
Rented
06
Data / finance
API
Integration is where
That promise is kept — or quietly broken
Contracts
Ownership of facts first
Events
Real-time where it costs
Reconcile
Drift as a feature
Observe
Failed sync = a ticket
When it holds
One operating platform
Ops
Observable by default
- Lane
- Extend
- Style
- Contract-first
- Coverage
- SaaS, ERP, custom
- Ops
- Observable by default
Architecture
A layered view we can defend in a review
Not a spaghetti diagram — a small number of clear boundaries with named owners.
Practice
How we approach integration work
- 02
Event-driven where it matters, batch where it doesn't
Real-time is not free. We reserve it for workflows where latency has a cost and keep the rest simple and cheap.
- 03
Reconciliation as a feature
Every integration drifts. We build the reports and repair paths that catch drift before finance or operations do.
- 04
Observability from day one
Traces, retry visibility and alerting so a failed sync is a ticket, not a quarter-end surprise.
Typical deliverables
System-of-record map with field-level ownership
API and event contracts, versioned and documented
Integration services with retry, dead-letter and replay
Reconciliation reports and exception queues
Runbooks and alerting handed to your operations team
Next step
Where does your data stop agreeing with itself?
Usually there are two or three known reconciliation points. Those are the fastest place to start.