Enterprise AI Integration
Integrate AI with CRM, ERP, documents, data platforms, applications and approved external services.
Definition
Bring AI into the systems your business already depends on.
In brief: Enterprise AI integration connects AI components to the applications, data and controls a business already runs on. OB360 engineers the integration layer, including APIs, connectors, identity and permissions, source-system boundaries, observability and reliability, so AI works inside existing systems.
Enterprise AI produces little value when isolated from the applications, data and controls that people use every day. OB360 engineers integration layers connecting AI components with approved enterprise data, services and workflows. We address identity and permissions, source-system boundaries, API design, observability and reliability alongside the user experience.
Problems
Designed around your business
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Architecture before tools
We define the business workflow, constraints and right level of AI before choosing implementation patterns.
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Engineering accountability
Our work spans concept, integration, software delivery and handover.
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Controlled enterprise AI
We design with boundaries, permissions, human review and evaluation in mind.
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Specialist depth
Agents, graph intelligence, document AI, applied ML and cloud-native engineering can be combined when the problem requires them.
Who it is for
Where this service fits
- Enterprise leaders planning practical AI adoption.
- Software and product teams extending existing applications.
- Business and engineering teams connecting workflows, knowledge and systems.
Use cases
An illustrative business scenario
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A possible engagement
An internal knowledge assistant must retrieve current records from multiple systems and, when authorized, trigger a downstream task without exposing information outside the requesting user's permissions.
Related case studies
- Enterprise Knowledge Retrieval and Workflow Automation (delivered client engagement)
- Multi-Agent Business Intelligence for a Multi-Channel Enterprise (delivered client engagement)
- Connected Farmer Intelligence Using Knowledge Graphs (delivered client engagement)
Approach
From requirements to delivery
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Understand
Agree the business problem, users, existing systems and constraints.
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Design
Choose the architecture, data boundaries and appropriate human oversight.
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Engineer
Implement the agreed scope with testing and integration.
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Enable
Share implementation knowledge and agree operational next steps.
Technology
Typical scope
- API/middleware integration
- Connectors
- Security and IAM
- Data access boundaries
- Interoperability
- Monitoring
Delivery
Delivery model
Engagement scope, team structure and delivery priorities are agreed around your business needs.
Specific deliverables and implementation boundaries depend on the agreed engagement.
What to expect from an engagement
Integration design, secure API/connectors, access control mapping, workflow orchestration, error handling and monitoring.
Questions
Questions about this service
Does integration require replacing current systems?
Usually not. AI capabilities can be connected through APIs, integration services and controlled data access while existing systems remain the source of record.
Can this work connect to our existing software?
OB360 can integrate AI capabilities with existing applications, data and APIs, with access boundaries defined for the engagement.
How do we start?
Discuss your workflow and constraints with OB360 to agree the relevant discovery and engineering scope.
Which systems can AI be integrated with?
CRM and ERP systems, document repositories, data platforms, business applications, collaboration tools such as Microsoft Teams, and approved external services, connected through APIs, connectors and integration services.
How is data access controlled when AI is integrated?
Access follows identity and permissions, source-system boundaries are defined for the engagement, and integrations can be read-only. An assistant should never expose information outside the requesting user’s permissions.
Next steps
Related services
Explore complementary consulting and engineering services for your initiative.
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Agentic AI Consulting & Strategy
From business use cases and readiness assessment to architecture, governance and execution roadmap.
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Custom AI Solution & Product Engineering
Build AI-powered business applications and intelligent product capabilities aligned to real requirements.
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Forward Deployed Engineering
Embed experienced AI architects and engineers within client delivery teams.
Discuss Enterprise Integration
Tell us about your business workflow, users and existing systems. We will discuss the architecture, engineering support and next steps that fit your needs.