AI Workforce Integration with Corporate Systems (1C, SAP, Oracle, MS Dynamics)

We design and deploy artificial intelligence systems: from prototype to production-ready solutions. Our team combines expertise in machine learning, data engineering and MLOps to make AI work not in the lab, but in real business.
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AI Workforce Integration with Corporate Systems (1C, SAP, Oracle, MS Dynamics)
Complex
from 2 weeks to 3 months
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Integrating AI Workforce with Corporate Systems (1C, SAP, Oracle, MS Dynamics)

AI-agents most effective with access to corporate data: warehouse balances, order status, financial metrics. AI workforce integration with ERP technically complex, requiring knowledge of each system's API.

1C Integration

Methods: REST API (1C HTTP-services), COM-object (Windows server), direct database connection to 1C PostgreSQL/MSSQL (read-only for analytics).

AI-agent + 1C: get balances, document status, client data. Create documents via 1C HTTP-services. Accountant assistant agent: answers questions on account status, receivables, payments.

SAP Integration

SAP RFC/BAPI for functional modules. SAP OData API (S/4HANA) — REST-compatible. SAP Integration Suite (CPI) middleware.

Oracle ERP Cloud

REST API (SOAP/REST). Integration Cloud Service for complex integrations.

Microsoft Dynamics 365

Dataverse Web API — standard REST. Power Automate for workflow integrations.

Integration Architecture

Not recommended giving AI-agents direct ERP write-access without human approval. Recommended pattern: AI reads data directly (read API) → AI prepares transaction → Human approves → executed via API.

Pipeline: 6–12 Weeks

Depends on ERP, operation count, and security policy.