A Corporate Knowledge Base With Accountable Owners
Jinba Brain links corporate knowledge to its sources and definitions. Build a policy change workflow that validates effective dates, assigns reviewers, and preserves approved records with change history.
Build a workflow for insurance policy governance to handle publishing approved internal policy changes using internal policy documents, revision notices, and policy-owner lists. Hold a policy update if its owner is missing, its effective date is invalid, or it conflicts with a current revision. Validate candidate records and require explicit owner approval before publishing to Jinba Brain; held or rejected records remain unpublished. Log source paths, SHA-256 hashes, validation outcomes, reviewer decisions, and publication or hold status.
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Give Every Policy Update an Owner and Review Path
An internal policy is useful only when staff can identify the current approved version. Jinba Brain links records to source material and company definitions. Build a Jinba Flow workflow that checks revision information and routes changes to accountable owners, then expose approved policy workflows to authorized staff in Jinba App.
- Describe the publishing approved internal policy changes workflow in Jinba Flow chat, then refine and test its visual flowchart.
- Hold a policy update if its owner is missing, its effective date is invalid, or it conflicts with a current revision. Set explicit standard and exception review paths in the workflow.
- Validate policy identifiers, effective dates, revision links, and accountable owners and enrich them from connected, authoritative systems before review.
- Record validation and reviewer decisions in the workflow log, and let authorized staff run approved workflows through Jinba App.
Build Deploy and Run Your Governed Workflow
Work with insurance policy governance to define policy identifiers, effective dates, revision links, and accountable owners, authoritative sources, and reviewers. Describe the process in Jinba Flow, refine its visual flowchart, and test valid, conflicting, and missing-data cases. Brain schema definitions are agreed with your team; Flow is the workflow editor.
Agree Brain schemas and source connections with Jinba, then deploy the workflow in your selected on-premise or private-cloud environment. Configure ingestion schedules, reviewer access, and logging. Test source validation and approval gates before using published records in downstream workflows.
Run scheduled ingestion, hold failed candidates for correction, and publish only validated records with reviewer approval. Authorized staff use approved downstream workflows in Jinba App. User feedback can propose revisions, but knowledge changes return through review before adoption.
Enterprise Ready
Control, security, and support for large organizations.
Advanced access control
Role-based permissions and SSO integration.
Organization management
Spaces, roles, and approvals for your team.
Dedicated Engineer Support
Work side-by-side with our engineers to remove blockers and accelerate your workflow development.
On-premises or private cloud hosting
Run Jinba in your own environment with full data control.
Advanced access control
Role-based permissions and SSO integration.
Audit logging
Complete compliance and security oversight tracking.
Organization management
Spaces, roles, and approvals for your team.
Pre-built & custom integrations
100+ pre-built integrations plus custom connectors for your internal systems.
Dedicated Engineer Support
Work side-by-side with our engineers to remove blockers and accelerate your workflow development.
Private model hosting
Use Bedrock, Azure AI, or your own models securely.
Talk to Our Team
Discuss publishing approved internal policy changes with Jinba. Contact sales to scope the sources, review rules, deployment requirements, and evaluation criteria for your department.
Frequently Asked Questions
Everything you need to know about Jinba. Can't find the answer you're looking for? Reach out to our support team.
How can we keep policy changes traceable?
Can user feedback silently change published policies?
How do teams build and run the workflow?
What validation and approvals are included?
What can our team trace during review?
Can we run Jinba on our infrastructure?
How should we start and measure success?
Build your governed workflow with Jinba
Talk to our team about your process, integrations, and deployment requirements.