Enterprise systems integration for workflows that cross vendors, data, and ERP platforms.
Many software problems are really connection problems. Large companies often run across multiple vendors, ERP systems, CRMs, workforce platforms, data platforms, and legacy applications at the same time. The customer record may be in Salesforce, the finance workflow in Oracle NetSuite, vendor and contingent workforce activity in SAP Fieldglass, analytics or lakehouse strategy in Databricks or Snowflake, and the operational workflow somewhere else entirely. People end up moving information around because the systems never learned how to work together.
Our integration team connects applications, cloud services, data platforms, vendor systems, ERP workflows, timesheet systems, GraphQL APIs, REST APIs, SOAP services, identity, data flows, message buses, and legacy software with clear contracts and observable operations.
Integration specialties
Cloud-agnostic architecture
We design integration and application strategies that can run across Azure, AWS, Google Cloud, self-hosted infrastructure, or hybrid environments. The goal is to use the right services without trapping the business in a single vendor when portability matters.
Databricks strategy and implementation
Databricks work can include lakehouse architecture, reporting flows, operational integrations, data movement, imports, exports, and synchronization. The goal is not only to move data, but to make the platform useful inside the business processes people actually run.
Salesforce, Oracle NetSuite, and SAP Fieldglass
We integrate customer operations, finance and ERP workflows, vendor systems, SuiteScript RESTlets, GraphQL APIs, REST APIs, SOAP services, approvals, reporting, and downstream processes where large-company systems need reliable handoffs.
Compliant timesheet workflows
We have built timesheet systems for large-client requirements, including workflows that need to connect approvals, vendor platforms such as SAP Fieldglass, reporting, billing, and ERP processes.
Integration that can be operated
- Cloud and workflow automation across Azure, AWS, Google Cloud, and Azure Logic Apps.
- Databricks strategy and implementation for lakehouse architecture, reporting flows, operational integrations, imports, exports, and data movement.
- Salesforce and Oracle NetSuite integration, including custom SuiteScript RESTlets where ERP workflows need custom API behavior.
- Compliant timesheet systems for large-client workflows, including integrations around platforms such as SAP Fieldglass.
- GraphQL APIs, REST APIs, SOAP services, vendor APIs, API design, and data synchronization patterns for fragmented enterprise environments.
- Message bus strategies, queues, publish/subscribe workflows, scheduled jobs, imports, exports, and event-driven processing for systems that need to scale without brittle point-to-point handoffs.
- Cloud-agnostic and vendor-neutral application architecture across Azure, AWS, Google Cloud, self-hosted infrastructure, and hybrid environments.
- Identity, authentication, authorization, and secure access patterns.
- Reporting and operational automation for workflows that need reliable follow-through.
- Observability and deployment workflows for reliable production operations.
When this is the right fit
This is useful when a business process depends on multiple vendors, ERP systems, cloud platforms, data tools, timesheet systems, or legacy applications exchanging data reliably, or when the current integration only works because someone checks it manually.