Integrations
Keep what works. Connect what is fragmented.
DebugInit uses APIs, events, connectors and secure data pipelines to make existing systems part of one operational experience.
Integration is a strategic option—not a temporary workaround.
Capabilities
What the layer provides. Every module and customer system inherits it rather than rebuilding it.
REST and GraphQL
Documented, versioned interfaces with keys, scopes and rate limits.
Webhooks and events
Being told when something changes, rather than asking every night.
Files and batch
Because a great deal of real business data still moves this way.
Database sync
Where a system has no interface worth the name and the data still has to move.
Queues
Work that survives the receiving system being down.
Secure agent tools
The narrow, declared set of actions an AI agent may take in another system.
Credentials
Least privilege, rotation, and no shared logins pretending to be a service account.
Reconciliation
Proving both sides agree, on a schedule, rather than assuming.
Integration is a strategy, not a workaround
Connecting a system you keep is often the better answer than replacing it — cheaper, lower risk, and reversible. Treating integration as a temporary measure until the 'real' migration is how estates end up with neither a good integration nor a completed migration.
So integrations are built to be maintained: contracts documented, ownership named, failure handled, and a maintenance scope agreed rather than assumed.
Reliability
Idempotency, retries, dead-letter handling, reconciliation and observability. An integration without dead-letter handling does not fail — it loses things quietly, which is worse.
Data ownership
Canonical ownership is defined per entity before anything syncs. Two systems that both believe they own the customer record will produce a sync loop, and the loop will be discovered by a customer.
Custom connectors
Built where no reliable public API exists, with an explicit maintenance scope: what happens when the other side changes, who pays for it, and how long we commit to keeping it working.
How it is measured
Defined before launch and re-measured after. These are the measures; results belong to a specific engagement.
- Delivery success
- Messages that arrived and were processed.
- Dead-letter volume
- What failed and is waiting for a human.
- Reconciliation variance
- How far the two sides disagree, driven to zero.
- Latency
- How stale the receiving system is allowed to be.
- Credential age
- How long since each secret was rotated.
- Maintenance load
- Hours spent keeping connectors working.
What this page does not claim
No catalogue of named connectors. Integration categories are described here; which specific systems are supported for your engagement is confirmed during assessment. Claiming a connector before it is production-ready is how integration projects start with a lie.
Bring one workflow
The clearest way to evaluate this is against a process you already run, with its exceptions included.