Your Systems. Connected Through Fibric.
Your tools hold the context. Fibric connects them to the work in BearScope. Here’s how the pieces fit together.
A business rarely keeps everything in one place. Records live in business applications. Knowledge lives in documents. Decisions move between teams. BearScope brings that context into a shared workspace, with Letra to help make sense of it.
The connections come through Fibric, the platform that powers BearScope. Your choice of tools shapes the information available to your team. It doesn’t define what BearScope is.
Start with what the work needs
A workflow might need to read a record, check a measure, or prepare an update. Fibric describes those needs as capabilities. A connector maps a capability to the system that provides it.
That gives each part a clear job:
- BearScope is where your team sees the work, explores findings, and makes decisions.
- Fibric connects capabilities to systems and checks supported actions against your rules.
- Your systems provide the records and functions made available by each connection.
The workflow asks for a capability. Fibric routes it to the configured connector. The vendor belongs in that connection, rather than in the definition of the workflow.
Familiar names. A much wider picture.
NetSuite, Kustomer, Magento, and Amazon Connect are examples of systems that can supply useful context through Fibric. An order record, a conversation, or a call can become part of the work in BearScope.
Those examples are a small part of the Fibric ecosystem. They are not a required stack. The right connections depend on your business, the work you want to bring together, and the capabilities each listing supports.
Your tools can change
When a system changes, the capability gives the workflow a consistent point of reference. You configure the new connector, confirm its field mappings and permissions, and check the result against the work it needs to support.
A replacement connection may expose different fields or actions. Those differences still need review. The separation keeps vendor-specific details in the integration layer, where they belong.
Access follows the work
Connecting a source and allowing changes to it are separate decisions. A record available for analysis does not automatically become a record an AI operator can update.
Choose the information the workflow needs. Confirm any supported actions, the people who can approve them, and the limits that apply. For governed execution, Fibric checks the proposed action before it runs and records the result. Learn more about permissions and governance.
Bring the systems you use
Start with one piece of work and the information behind it. Together, we can map the relevant connections through Fibric and decide what belongs in the first rollout.
Explore integrations or book a demo with your own systems and questions in mind.
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