Enterprise AI–ERP Integration
We build proprietary AI ERP layers that sit beside the ERP estate you already run. Nothing modifies ERP core objects, no vendor margin is charged, and upgrades stay routine.
Executive Briefing
What We Build & Deploy
Side-by-side event bus gateway (SAP Event Mesh / Oracle Integration Cloud / Dataverse Event Grid)
Master-data canonical resolution service (Customer, Vendor, Item, Cost Centre)
Real-time inference proxy with latency SLA monitoring and failure circuit breaker
Automated transaction writeback service with audit trail logging
Contract test suite for upgrade compatibility verification
Integration Boundary & Architecture
ERP Platform Support Matrix
| Platform | Primary Interface Contract | Extension Pattern | Upgrade Guardrail |
|---|---|---|---|
| SAP S/4HANA | OData v4 / CDS Views / SAP Event Mesh | Side-by-side on SAP BTP | Zero modifications to core SAP tables/ABAP |
| Oracle Fusion Cloud | OIC REST APIs / BICC Data Extracts | Oracle Integration Cloud orchestrations | Only standard business objects via OIC REST |
| Microsoft Dynamics 365 | Dataverse Web API / Event Grid / Fabric | Power Platform / Azure microservices | No alteration of managed solution schemas |
| Odoo | External API (JSON-RPC) / Custom Module API | Isolated custom module extension layer | Clean separation from base Odoo core modules |
| Salesforce | Platform Events / Bulk v2 / Composite API | External Services & Apex Callouts | Strict governor-limit compliant callbacks |
4-Phase Delivery Framework & Timeline
| Phase | Duration | What we deliver | Client involvement |
|---|---|---|---|
| Discovery | 2–3 weeks | API endpoint audit, master-data canonical map, single costed use-case specification | IT lead + ERP Basis team |
| Proof of Value | 4–6 weeks | Working side-by-side inference model running against real historical ERP extracts | Process owner + Finance analyst |
| Production Build | 8–16 weeks | Event bus integration, automated writeback pipelines, circuit breakers, contract test suite | ERP team + Security lead |
| Run & Improve | Ongoing | Drift monitoring, quarterly retraining, model versioning, API contract regression tests | Operations team + Tech Labs on-call |
- •We will not execute an ERP re-implementation or core upgrade as part of an AI project.
- •We will not write code that modifies SAP core database tables, Oracle standard business objects, or Dynamics base schema.
- •We will not resell ERP licences, take vendor commissions, or recommend software for commercial margin.
- •We will not deploy proprietary black-box runtime engines that require recurring vendor lock-in subscriptions.
AI–ERP Integration across UAE Emirates & Free Zones
Service Technical FAQs
How does an external AI layer communicate with our existing ERP?+
The AI layer communicates exclusively over standard, vendor-supported API interfaces such as OData, REST, and gRPC, as well as asynchronous event streams like SAP Event Mesh or Azure Event Grid. It reads transactional state from published data views and posts completed results back into standard ERP documents through approved business object endpoints.
Will integrating an AI layer void our SAP, Oracle, or Microsoft support contract?+
No. Because we use side-by-side extension patterns and vendor-supported APIs without modifying core application schemas or source code, your underlying ERP platform remains completely standard and fully covered by vendor support agreements.
What happens to the AI layer when we perform a routine ERP upgrade?+
Our implementation includes an automated contract test suite. Prior to applying an ERP upgrade, the suite tests every API endpoint and schema mapping. If an upgrade alters a field or interface contract, the test suite identifies the change in minutes so it can be updated before going live.
How do you ensure AI model latency does not slow down ERP user transactions?+
All heavy model inference and complex document processing run asynchronously beside the ERP. User transactions in the ERP trigger event notifications rather than blocking synchronous requests, ensuring zero impact on core system performance.
Can we integrate custom or legacy ERP modules alongside tier-one platforms?+
Yes. We build master-data canonical mappers that translate records from legacy internal databases or custom modules into unified schemas, allowing the AI layer to process data from both tier-one platforms and legacy systems simultaneously.
Do you charge software licence fees for the AI layer platform?+
No. You own all pipelines, model weights, feature store configurations, and deployment scripts created during the project. The solution is deployed directly into your own cloud tenancy with no recurring proprietary software licensing fees from us.
How is security and access control managed between the ERP and the AI layer?+
The AI layer authenticates using OAuth 2.0 / mTLS with service accounts restricted by least-privilege principles. All data exchanged between the ERP and the AI proxy is encrypted in transit (TLS 1.3) and at rest (AES-256).
How long does a typical AI–ERP integration project take to reach production?+
A standard single-pillar integration project takes between 12 and 22 weeks from discovery initiation to production deployment, with a working proof of value delivered by week 6.
What ERP platforms do you natively support?+
We natively support SAP S/4HANA, Oracle Fusion Cloud ERP, Microsoft Dynamics 365, Odoo, and Salesforce. We also integrate with tier-two regional systems that expose standard REST or SQL interfaces.
Who owns the intellectual property of the custom AI models?+
You do. Upon completion of payment, all code, trained weights, dataset transformations, and deployment infrastructure-as-code are fully transferred to your company.
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