Build path01
Internal platforms and portals
When the integration needs a human operating surface, we build the internal tool, admin portal, or product workflow around the connected systems.
Authority Reference
Platforms That Keep Systems Aligned
Most companies don't have integration problems — they have coordination problems.
- 20–30 minute review
- No preparation needed
- One integration mapped
Sync authority · liveDemo data
One owner per field · Conflicts resolve through the owner
Common Breakpoints
Systems don't fail because they disconnect. They disagree.
Every one of these looks like a bug. None of them are.
System says
CRM: "approved"
Reality
Support: "pending"
System says
Order: "shipped"
Reality
Warehouse: still packing
System says
Payment: "confirmed"
Reality
Finance: still reviewing
Data conflicts
The assumption01
"If systems are connected, they stay in sync"
In production
The order shows "shipped" in Shopify but still "pending" in ERP
Root cause
Each system updates state on its own schedule
The assumption02
"Matching fields means matching records"
In production
Someone edits records every morning to "fix" data across three systems
Root cause
Each system defines status, stages, and labels differently
Process conflicts
The assumption03
"If the API returned 200, it worked"
In production
A refund processes in Stripe but the invoice still shows "Paid" in accounting
Root cause
Later events invalidate earlier decisions silently
The assumption04
"More automation removes manual work"
In production
Two automations update the same field and overwrite each other every 10 minutes
Root cause
Triggers act without shared state awareness
Systems share data, not authority
The Model
Three forces that must stay coordinated
Every integration failure traces back to one of these breaking down — or two of them falling out of sync.
Tap a force to simulate its failure
Status: coordinated · decisions on current data · actions reaching every system · state in sync
Data Flow
The data flow model
All integration problems are timing or ownership conflicts.
The pipeline · one change, five gates
01 / 05
Gate 01
Source of Truth
One system owns the truth
Every piece of data has exactly one authoritative system. This is where the record is created, updated, and owned. All other systems receive copies.
Ownership first · Then timing · Duplicates never
Real Scenarios
Same situation, two outcomes
Pick a scenario. See the difference.
Situation
Customer places an order. Warehouse discovers the item is out of stock 2 hours later.
Without architecture · breaks
Customer receives order confirmation. ERP gets updated manually. Warehouse sees the order but can't fulfill it. Customer gets confused "shipped" email 3 days later, then cancellation email. No one knows who saw what when.
With architecture · holds
Order event fires → ERP, CRM, warehouse all see it instantly → Warehouse stock check runs → Out-of-stock status propagates to all systems → Customer gets accurate notification within 60 seconds. Every system agrees on state.
How This Becomes an Implementation
Integration architecture turns into platforms, API layers, AI-ready data flow, or production infrastructure depending on the operating constraint.
Build path02
AI-ready data flow
When AI needs context from multiple tools, the integration layer prepares source-of-truth access, enrichment, and decision handoff paths.
Build path03
Cloud integration infrastructure
Queues, workers, APIs, storage, identity, and deployment environments make cross-system workflows reliable under real load.
Build path04
Production delivery controls
Observability, retries, rollback paths, and release discipline keep data flow predictable once integrations become operationally critical.
Design Tradeoffs
Why these patterns, not others
Every architectural decision is a tradeoff. These are the records — what we chose, what we passed on, and the cost we accepted.
ADR-001 · integration architecture
AcceptedEvent-driven over request-based
Decision
Systems announce changes via events
Rejected alternative
Systems ask each other for data directly
Rationale
Events decouple systems so failures don't cascade. If one system is down, events queue and replay. Request-based integrations fail immediately.
Cost accepted
Harder to debug. You can't trace a single request end-to-end — you trace events across multiple consumers. Requires event infrastructure (queues, brokers).
Integration-Backed Case Studies
Named platform and automation implementations where data flow, synchronization, and integration reliability changed how the operation worked day to day.
Who this is forCTO, Head of Business Systems, VP Engineering, or COO — anyone accountable for systems that have to agree with each other.
Flagship result · RetailMax Holdings
99.7% inventory accuracy; 45% fewer stock-outs
Real-time inventory platform across 127 locations
GiveFlow
Recurring donation operations platform
Donation workflows, donor visibility, and reporting were rebuilt into a platform instead of spreadsheet-driven coordination.
Read the case studyMeasured outcome
$500K recurring revenue and 85% donor retention.
Go Boon
Referral and hiring platform
Referral submission, rewards, and tracking were turned into a structured SaaS workflow for hiring teams.
Read the case studyMeasured outcome
Referral rate grew from 2% to 11% and cost per hire dropped by 42%.
Capability Map
The architecture across capabilities
Integration is one part of the system. Here is how it connects to everything else.
Solutions built on this capability
The capability stack · five disciplines, one system
- 01
Automation
Handles execution
Runs the defined processes — triggers, decisions, actions, and verifications.
Explore - 02
AI Systems
Handles judgment
Evaluates situations and chooses actions based on patterns, data, and confidence.
Explore - 03You are here
Integration & Platforms
Handles synchronization
Keeps systems consistent — so decisions are based on current data and actions reach every affected system.
- 04
Product Engineering
Builds the product
When connected systems need their own operating surface — portals, platforms, and internal tools.
Explore - 05
Reliability
Keeps it running
Error handling, monitoring, logging, and escalation that keeps everything running.
Explore
One team runs all five
See how the five capabilities work as oneIntegration architecture questions
01
Can event-driven systems guarantee instant consistency?
No. 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. Instead, we define acceptable consistency windows per data type: customer-facing data may need sub-5-second convergence, while internal reporting can tolerate minutes.
If your systems disagree about what's true
The patterns on this page explain why. The next step is mapping them to your specific systems.
Most companies reach this point after months of patching integrations. Continue learning