AI that lives in a separate window gets tried and abandoned. AI that appears inside the ERP screen, the CRM record or the service ticket gets used every day. Integration is what turns a capable model into a working tool.
We connect AI into Oracle, Microsoft, Salesforce and your own applications, with the same security, monitoring and support as any other integration.
The enterprise systems we already support.
OIC, Power Platform, MuleSoft, Azure and custom services.
Calls made with the user's or a scoped service identity.
Your data is not used to train public models, and access follows your permissions.
Integration patterns we deliver, each built with monitoring and error handling like any production interface.
Oracle Fusion AI features and agents enabled, and custom AI services connected to Fusion, EBS and NetSuite through OIC and Visual Builder.
Built by the same team that supports the Oracle estate.
AI inside the ERP, not beside it.
Microsoft 365 Copilot, Copilot Studio, Azure OpenAI and Power Platform connected to Dynamics 365, SharePoint and Teams.
Data access tidied before Copilot exposes it.
Copilot grounded in your business data.
Agentforce, Einstein features and external models connected to Salesforce data and processes.
Grounding and permissions configured first.
AI in front of every customer record.
Reusable AI services for summarisation, classification, extraction and search exposed through an API layer.
Built once, used by many applications.
One governed AI layer, not ten scripts.
Pipelines that keep vector indexes, knowledge bases and features current with source systems.
Stale data is the quiet cause of wrong answers.
AI working on today's data.
Central logging of AI calls, cost tracking, rate limiting, content filtering and access control across integrations.
One place to see every AI call in the estate.
AI usage you can audit and budget.
How an AI integration runs
Where AI is most often integrated across our clients' estates.
| Platform | Integration route | Typical use | Model |
|---|---|---|---|
| Oracle Fusion, EBS, NetSuite | OIC, Visual Builder, REST APIs | Invoice and order assistance, search | Project or managed |
| Microsoft Dynamics 365 | Power Platform, Dataverse, Azure | Copilot, case and order summaries | Project or managed |
| Microsoft 365 | Copilot, Graph, SharePoint | Knowledge search, drafting | Project |
| Salesforce | Agentforce, MuleSoft, APIs | Service and sales assistance | Project or managed |
| Custom applications | API layer, SDKs | Embedded AI features | Project |
AI calls are often added to applications as quick scripts with an API key in a config file. They work, until a key leaks, a cost spikes or a model changes behaviour.
We treat AI as an integration: managed identities, central logging, cost controls, error handling and monitoring, supported by the teams that already run your Oracle, Microsoft and Salesforce estates.
Plan an AI integrationScope follows integration design.
Start with the built-in features where they fit, because they are supported and upgraded by the vendor. Build custom where the use case, data or accuracy needs go further.
Yes. Integration layers like OIC or MuleSoft let an AI service draw on and act in both, with access controlled per system.
With a central AI layer that logs, limits and reports usage per application and use case.
Only where your policy allows, through enterprise services that do not train on your data, and with data residency considered.
We can support them under the same managed service as the platforms they connect.
Tell us which system your teams spend the most time in. We will show where AI fits inside it.