We enter the same data in two places.
One system knows something the other system needs, but employees have become the sync process.
Connected systems
Your systems shouldn’t need people to translate between them.
APIs, databases, SaaS platforms, legacy applications, files, identity systems — most businesses depend on software that was never designed to work together.
JeraCode builds the integration layer that lets those systems exchange data reliably, securely, and predictably.
Show Us What Needs to ConnectKeep the systems that work.
Fix the gaps between them.
CRM ERP Legacy app Database Vendor platform Cloud service
JERACODEIntegration layer
Synchronized data Automated processes Fewer manual steps A more connected business
Different systems. A stronger business.
Does this sound familiar?
The systems work. The space between them doesn’t.
These applications don’t talk.
Both products are useful. Neither knows the other exists.
The integration works… most of the time.
Failures are intermittent, nobody knows what was missed, and rerunning things is risky.
Reporting means combining five sources.
The information exists, but getting a complete picture requires exports, spreadsheets, and reconciliation.
We’re replacing one system but can’t break everything around it.
A migration or modernization project has dependencies everywhere.
One vendor changed their API and everything stopped.
A third-party integration changed, expired, throttled, or started behaving differently.
Real integration engineering
Sending the message
is the easy part.
A production integration has to answer much harder questions.
- Who owns the data?
- Which system is authoritative?
- What happens when one side is unavailable?
- Can the operation safely run twice?
- What if only half the workflow succeeds?
- How do we detect missing records?
- What happens when schemas change?
- How do we trace a transaction across systems?
- Who gets alerted when something fails?
Good integration is about what happens when the happy path stops being happy.
Production integration
Connect
Validate
Handle errors
Retry safely
Keep data in sync
What we connect
Modern platforms. Legacy systems. Everything in between.
APIs
- REST APIs
- Vendor APIs
- Internal APIs
- Webhooks
- OAuth / token flows
- JSON / XML
Databases
- SQL Server
- Existing operational databases
- Data synchronization
- Stored procedures
- Import / export workflows
- Cross-system data movement
SaaS platforms
- CRM systems
- ERP systems
- Accounting platforms
- HR systems
- Vendor applications
- Industry-specific platforms
Files
- CSV
- Excel
- XML
- JSON
- SFTP
- Batch / file-drop workflows
Identity
- SSO
- Authentication
- Authorization
- User provisioning
- Claims / roles
- Account synchronization
Legacy systems
- Older .NET applications
- Existing internal tools
- File-based systems
- Databases with no modern API
- Scheduled processes
- Applications that cannot simply be replaced
Who owns the data?
Connecting systems starts
with deciding who is right.
CRMOwns customer contact info
ERPOwns billing and account status
Identity systemOwns users and access
Custom appOwns workflow state
Integration layer
Problems start when two systems both think they own the same information.
We define the source of truth for each data domain, then design how changes move through the rest of the environment.
Synchronization without ownership creates conflicts.
Not every integration should work the same way
Not every integration should
work the same way.
Real-time
When one system needs the answer immediately.
- API calls
- Authentication
- Live lookups
- Transactions
Event-driven
When something happens and other systems need to react.
- Webhooks
- Messages
- Queue-driven processing
Scheduled
When data can move periodically.
- Nightly synchronization
- Batch imports
- Scheduled reporting
On-demand
When users initiate the exchange.
- Exports
- Imports
- Sync actions
- Manual reconciliation tools
The right pattern depends on how current the data needs to be, how reliable the systems are, and what failure means to the business.
Reliable integrations assume things will fail
Reliable integrations assume
things will fail.
Networks time out. APIs return errors. Vendors go offline. Jobs restart.
The integration needs to know whether retrying will safely finish the work — or accidentally create the same customer, payment, order, or record twice.
- Idempotent operations where appropriate
- Duplicate detection
- Correlation IDs
- Retry policies
- Transaction boundaries
- Failure queues
- Reconciliation tools
- Monitoring and alerts
“Try again” should not mean “hope for the best.”
When systems disagree
Know what made it across —
and what didn’t.
System A10,000records
Integration
layer
layer
System B9,997records
3 require attention
Illustrative reconciliation example
Reliable integrations don’t just move information. They make discrepancies visible.
- Missing records
- Mismatched statuses
- Partial failures
- Out-of-order updates
- Duplicate transactions
- Invalid data
- Failed downstream actions
If nobody can tell what was missed, the integration isn’t finished.
Connected doesn’t mean wide open
Integration should preserve security boundaries.
Authentication
How systems prove who they are.
Authorization
What the calling system or user is allowed to do.
Secrets
Secure handling of keys, credentials, and tokens.
Data minimization
Move only the information required.
Encryption
Protect sensitive data in transit and, where appropriate, at rest.
Auditability
Know who or what changed information.
Integration should not become the shortcut around your security model.
Not everything has a clean API
Old software can still participate
in a modern system.
Some applications were built long before REST APIs, webhooks, or cloud-native integration patterns existed.
That doesn’t automatically mean they need to be replaced.
- Database integration
- File exchange
- Scheduled processing
- Wrapper APIs
- Background services
- Controlled import / export
- Incremental modernization
- Coexistence with newer systems
Sometimes the safest modernization path is to build a bridge before replacing the road.
Changing one system without breaking six others
Integration makes modernization
possible in stages.
Old systemLegacy
Integration layerCompatibility
New systemModern platform
Other connected systems continue operating
CRM Reporting Vendor APIs Internal tools Automation
Replacing a core application rarely happens in isolation.
Integration can let old and new systems coexist during migration, reduce cutover risk, and move capabilities in stages instead of requiring one massive switch.
Integration vs automation
Integration connects systems.
Automation moves the work.
System Integration
Use when:
- Applications need to exchange data
- One platform needs information from another
- Systems must remain in sync
- Data ownership needs to be defined
- APIs, files, or databases need connecting
Automate It
Use when:
- People are performing repetitive steps
- Reports are assembled manually
- Approvals need routing
- Work depends on reminders
- A repeatable business process should run automatically
Often, the best solution uses both.
Connected systems, practical value
System Integration works
especially well when…
- Multiple applications need the same data
- People are performing integration manually
- You depend on vendor APIs
- A legacy application must connect to newer systems
- Reports require merging several data sources
- Integration failures go unnoticed
- You’re replacing one platform but cannot replace everything at once
- You need a reliable integration layer instead of more manual workarounds
How we build integrations
Reliable integration starts before the first API call.
- 01
Map the systems
Understand applications, owners, data, dependencies, and available interfaces.
- 02
Define ownership
Determine the authoritative system for each type of information.
- 03
Define the contract
Data structures, rules, validation, authentication, and expected behavior.
- 04
Choose the right pattern
Real-time, event-driven, scheduled, file-based, or a practical hybrid.
- 05
Build for failure
Retries, duplicate protection, logging, partial failures, and recovery.
- 06
Reconcile
Make mismatches and missing data visible and correctable.
- 07
Monitor
Track health, failures, latency, throughput, and unexpected changes.
- 08
Evolve
Adapt as APIs, vendors, schemas, and business requirements change.
The integration isn’t done when data moves. It’s done when people can trust that it moved correctly.
What successful integration looks like
From disconnected systems
to a connected business.
Before
- Duplicate data entry
- Systems disagree
- Manual exports / imports
- Failed jobs go unnoticed
- Reporting requires reconciliation
- Changes break downstream processes
After
- Data flows automatically
- Ownership is clearly defined
- Failures are visible
- Retries are safe
- Discrepancies can be reconciled
- Systems evolve without constant firefighting
Separate systems. One dependable flow of information.
Related ways we can help
Related services
Let’s connect the right things
Show us where the systems stop talking.
You don’t need an API specification or architecture diagram.
Tell us which applications are involved, what information needs to move, and where the process breaks down today.
Show Us What Needs to ConnectStart with the systems.
We’ll figure out the path between them.