Connectors
Pre-built connectors to enterprise systems with credential management, rate limiting and automatic retry logic. Connect to Salesforce, SAP, Workday, ServiceNow and hundreds of external APIs through a unified integration framework.
Product Suite
Integration Hub
Specialist capability. Shared platform. Agentic execution.
Integration Hub runs as part of the Advanze Execution Platform, so the application is not isolated software. It shares the same data foundation, workflow engine, security model and agentic AI fabric as the rest of the enterprise suite. Teams get the specialist capability they need without creating another silo.
Product Suite / Integration Hub
From application to execution capability
Advanze is positioned around the idea that enterprise software must evolve from passive systems of record into active systems of execution. In that model, this page is not just a feature description. It explains how Integration Hub contributes to an operating environment where people define intent, agents execute governed work, and leadership can see progress through unified data.
The value is strongest when the capability is connected to adjacent processes. Records, workflows, controls, communications and analytics should not live in separate tools. They should participate in a shared execution fabric that can coordinate work across departments while preserving human accountability.
Core capabilities
What Integration Hub enables
Each capability is designed to work as part of the broader execution platform rather than as a disconnected module.
Api Gateways
Centralized API management with authentication, throttling, versioning and monitoring. Route requests, transform payloads and aggregate responses across multiple backend services while maintaining performance and security controls.
Event Flows
Real-time event streaming and orchestration across systems. Subscribe to business events, apply transformation rules and trigger downstream workflows with guaranteed delivery and dead-letter queue handling for failed events.
Data Mapping
Visual data transformation designer with support for complex mappings, conditional logic and data enrichment. Map between schemas, apply business rules and validate data quality before transmission to target systems.
Monitoring
End-to-end integration observability with message tracking, error logging and performance metrics. Monitor data flows in real-time, set alerts for failures and analyse throughput patterns across all integration endpoints.
Retry Handling
Configurable retry policies with exponential backoff, circuit breaker patterns and manual intervention workflows. Recover from transient failures automatically while escalating persistent issues to human operators with full context.
Agentic operating model
AI agents execute work inside the control model
Advanze treats AI agents as participants in the operating model. Agents can read context, call services, update records, trigger workflows, prepare decisions and escalate exceptions. Human teams remain responsible for judgement, governance and business accountability.
That distinction matters. The goal is not to add another chatbot to existing systems. The goal is to create an execution platform where work can move across functions with consistent permissions, policies, audit trails and data visibility.
Business outcomes
What becomes possible
Agentic use case
Where Integration Hub becomes governed execution.
It starts with a person trying to get integration hub work done without losing context. They need the next action to be clear, but they also need confidence that the platform has checked the risk, evidence, permissions and downstream impact.
What makes it harder in the real world: Integration hub work looks straightforward until it crosses people, systems, policies, approvals and customer impact. In practice, the work may require the right customer or employee context, policy checks, data quality, approvals, exception routing, integration updates and a clear audit trail.
What Advanze changes: Integration Hub turns integration hub activity into governed execution by connecting system, API, mapping, event and exception context to agents, workflow, permissions, approvals and audit evidence before work is completed.
Integration Hub starts as a single app experience, but the real work usually depends on context from other teams, policies, data and systems.
Advanze treats Integration Hub as part of a governed execution fabric. The app captures the work, agents gather context, workflow routes approvals and the control model determines what can safely happen next.
Integration Hub becomes more than a screen. It becomes a reliable path from intent to controlled action, with people still responsible for judgement and the platform carrying evidence.
Why AI execution needs architecture
The work needs context, controls and clear permissions before automation can safely act.
Integration Hub is valuable when it participates in the Advanze control model: identity, permissions, workflow, policy checks, data context, audit evidence and human approval boundaries sit inside the execution path.
- Integration Hub work needs the right system, API, mapping, event and exception context before an agent or user can act with confidence.
- The process often crosses handoffs, approvals, exception paths, SLAs and downstream system updates.
- Different actions need different permission levels: read, draft, update, approve, send, pay, create, close or escalate.
- The business needs evidence of what was requested, what was checked, who approved, what changed and why.
Implementation path
How to move from concept to production
Advanze can be introduced progressively. The recommended path is to start with a visible workflow, prove the operating model, then expand into adjacent capabilities as the platform foundation matures.
- 1Assess the current operating model
Map the workflows, systems, data sources and manual coordination points around this capability.
- 2Design the target execution flow
Define the data model, human approvals, agent tasks, service calls and governance controls.
- 3Launch a focused implementation wave
Start with a bounded use case that proves the operating pattern and creates reusable platform assets.
- 4Scale across the business
Extend the pattern to adjacent workflows, more agents, more users and deeper integrations.
Next step
Build this into your execution platform roadmap
Explore how Integration Hub can be implemented as part of a broader Advanze platform adoption programme, from first pilot to enterprise scale.