Connect enterprise AI tools to permission-aware business context
Credal is an enterprise platform for connecting AI tools to business information with governance controls. Its current offering emphasizes a context gateway, MCP connectivity and a registry of tools that can be made available to approved workflows. The objective is to give an assistant useful enterprise context without treating every user or action as equally authorized.
Connectors bring information from systems such as Google Drive, Slack, Confluence, Salesforce and SharePoint. Credal describes permission inheritance and checks at query time, helping align AI access with existing business access rules. Domain experts can package tools, parameters and instructions for a particular workflow. Sensitive actions can require human approval, which is important when a request moves from retrieving information to changing a business record.
The registry supports versioning and rollback, while audit and usage views help administrators understand what a workflow used. Evaluation and routing capabilities can inform trade-offs between cost and answer quality. The platform connects with several AI interfaces and provider options, so it should not be described as relying on one fixed model. Actual provider access depends on the agreed configuration.
Pricing is tailored around seats, indexing and usage, with deployment options including cloud and private arrangements. A pilot should identify a concrete workflow, a controlled set of source systems and the people allowed to use it. Test permission boundaries and approval paths as carefully as answer quality. Confirm how connectors refresh and how access changes propagate. Credal supplies infrastructure for governed AI use, but the organization still needs clear ownership of its data, well-designed tool permissions and a process for reviewing incorrect or inappropriate results.
