System Integration
Connecting Salesforce, SAP, Dynamics, and Oracle into a single, reliable operational fabric.
ERP & CRM
Salesforce, SAP, Dynamics, Oracle
Real-time sync
Data consistency across systems
Middleware-ready
iPaaS & custom integration layers
Overview
Most enterprises don't run one system of record — they run a dozen, each with its own data model, and each department convinced its system is the source of truth. When those systems don't talk to each other reliably, the cost shows up as manual reconciliation, duplicate data entry, and decisions made on stale information.
Webneuron designs and builds the integration layer that connects ERP, CRM, and custom systems into a coherent operational fabric — whether that means point-to-point APIs, an enterprise service bus, or a modern iPaaS platform, chosen based on your actual system landscape, not a one-size-fits-all preference.
What We Commonly See
- Data entered in one system doesn't reliably appear in the others that need it.
- Point-to-point integrations have multiplied into a fragile, undocumented web of dependencies.
- Real-time business processes are blocked by nightly batch syncs that are effectively a full day behind.
What's Included
CRM integration (Salesforce, HubSpot)
Bi-directional sync between CRM and other systems of record, without duplicate or conflicting data.
ERP integration (SAP, Oracle, Dynamics)
Reliable data flow between ERP systems and the applications, portals, and reporting tools that depend on them.
Middleware & iPaaS implementation
Selecting and implementing the right integration layer — MuleSoft, Boomi, or custom middleware — for your system complexity.
REST & SOAP integration
Modern and legacy protocol support for systems that were never designed to talk to each other.
Real-time data synchronization
Event-driven integration patterns that replace overnight batch jobs with near real-time consistency.
Master data management
Establishing a single source of truth for core entities like customer, product, and order data across systems.
Our Approach
Map the system landscape
We document every system, data flow, and dependency in scope before proposing an integration architecture.
Design the integration layer
We choose point-to-point, middleware, or iPaaS approaches based on your actual complexity — not a default preference.
Build & test data flows
Integrations are built and tested against real data scenarios, including the edge cases that break naive implementations.
Monitor & maintain
Ongoing monitoring catches sync failures and data drift before they become a business problem.
Technologies We Use
What You Can Expect
- One consistent version of the truth across the systems your teams rely on daily.
- Elimination of manual data re-entry between disconnected systems.
- Real-time (or near real-time) data flow replacing overnight batch delays.
- An integration architecture your team can extend as new systems join the landscape.
Frequently Asked Questions
Which CRM and ERP platforms do you have experience with?
We regularly integrate Salesforce, Microsoft Dynamics, SAP, Oracle, and HubSpot, along with custom and legacy systems that don't have off-the-shelf connectors.
Should we use middleware or build direct point-to-point integrations?
It depends on the number of systems and how often they change. Two or three stable systems may not need middleware; five or more with frequent change usually benefit from an integration platform that centralizes logic and monitoring.
How do you prevent data conflicts when multiple systems can edit the same record?
We define clear system-of-record rules per data entity during the design phase, along with conflict-resolution logic for the cases where simultaneous edits are unavoidable.
Can you integrate systems that don't have modern APIs?
Yes — we work with SOAP, file-based integration, database-level connections, and even screen-scraping as a last resort for systems with no other integration path.
Let's build the system your business will run on next.
Tell us where it hurts. We'll bring the architects, engineers, and delivery model to fix it — and scale it.