Architecture syncs reality
This page explains why connected systems still disagree.
Two systems exchange data. Within days, they disagree about what's true.
Most companies don't have integration problems.
They have coordination problems.
Two systems exchange data. Within days, they disagree about what's true.
Most companies don't have integration problems.
They have coordination problems.
Same record. Different truth.
Systems share data, not authority.
Every one of these looks like a bug. None of them are.
Every integration failure traces back to one of these breaking down — or two of them falling out of sync.
Evaluates context, assigns priority, and selects the right action — but only if it has current data from every connected system.
If integration is broken, AI makes decisions on stale data. Correct logic, wrong inputs.
Does your decision system see the same data as your team?
Evaluates context, assigns priority, and selects the right action — but only if it has current data from every connected system.
Does your decision system see the same data as your team?
Runs workflows, updates records, sends notifications — carries out what AI decided across every connected system.
Do your automated actions reach every system that needs to know?
Keeps all systems current so decisions use real data and actions reach every affected system. The coordination layer.
When two systems disagree, which one wins?
All problems are timing or ownership conflicts.
All integration problems are timing or ownership conflicts.
Every piece of data has exactly one authoritative system. This is where the record is created, updated, and owned. All other systems receive copies.
When the source of truth changes, it emits an event — a structured notification that something happened. Events carry what changed, when, and why.
Events are received, validated, transformed, and routed. This layer handles format translation, business rule application, and conflict resolution.
Downstream systems update their own records based on processed events. Each update is idempotent — running it twice produces the same result.
Teams, dashboards, reports, and automated systems that read the synchronized data. They trust it because the pipeline guarantees consistency.
Asking vs. announcing — the communication pattern matters.
System asks = request. System announces = event.
Rule: User-triggered → Request. System-triggered → Event.
Connected does not mean consistent. Consistency is the hard part.
Connecting systems is easy. Keeping them consistent is the hard part.
Pick a scenario. See the difference.
Pick a scenario. See the difference.
Customer places an order. Warehouse discovers the item is out of stock 2 hours later.
Failures are inevitable. These patterns make them graceful.
Production integrations fail. These patterns determine whether failures are graceful or silent.
Every decision is a tradeoff. Here's what we chose and what it costs.
Every architectural decision is a tradeoff. Here's what we chose and what it costs.
Engineering boundaries — constraints to design around.
These are engineering boundaries — not limitations to overcome, but constraints to design around.
Distributed systems exchange messages asynchronously. There is always a window — milliseconds to seconds — where two systems show different states. Strong consistency requires locking all systems simultaneously, which kills availability and throughput.
Define acceptable consistency windows per data type. Customer-facing data may need sub-5-second convergence. Internal reporting can tolerate minutes.
The event bus guarantees delivery and ordering. It does not check whether the data makes business sense. A pipeline will happily sync an invoice with a negative amount if the source system allows it.
Each system validates its own inputs at the application boundary. Integration moves data reliably; applications judge data correctness.
When two systems produce conflicting updates within the same consistency window, automated rules handle simple cases — last-write-wins, version comparison, timestamp ordering. But business-critical conflicts require judgment that rules cannot encode.
Design escalation paths for conflicts automation can't resolve. The system flags ambiguity; a human makes the call.
If an event triggers an email, a Slack message, or a payment charge — replaying that event fires the side effect again. Events are replayable; external actions are not inherently idempotent.
Separate side-effect-producing actions from data synchronization. Use idempotency keys for external API calls. Build replay-safe handlers.
Not every problem is a coordination problem.
Integration architecture solves coordination problems. Not every problem is coordination.
Tap the ones you recognize.
Tap the ones you recognize.
These show up in every company with more than 3 connected systems.
Automation is one part of the system. Here is how it connects to everything else.
Handles synchronization
Keeps systems consistent — so decisions are based on current data and actions reach every affected system.
Handles execution
Runs the defined processes — triggers, decisions, actions, and verifications.
Learn moreHandles judgment
Evaluates situations and chooses actions based on patterns, data, and confidence.
Learn moreHandles reliability
Error handling, monitoring, logging, and escalation that keeps everything running.
Learn moreHandles synchronization
Keeps systems consistent — so decisions are based on current data and actions reach every affected system.
Handles execution
Runs the defined processes — triggers, decisions, actions, and verifications.
Learn moreHandles judgment
Evaluates situations and chooses actions based on patterns, data, and confidence.
Learn moreHandles reliability
Error handling, monitoring, logging, and escalation that keeps everything running.
Learn moreThe next step is mapping where authority actually lives.
Understand your system coordinationContinue learningMost companies reach this point after months of patching integrations.
The patterns on this page explain why. The next step is mapping them to your specific systems.