Integrate Claude with Jinba

Yes. Jinba is designed for on-premise and private-cloud deployment, including air-gapped environments. When you connect Claude to Jinba workflows, the workflow orchestration layer runs inside your infrastructure. Jinba also supports private model hosting via AWS Bedrock, Azure AI, or self-hosted models, so sensitive financial and legal documents do not need to leave your environment.

Jinba gives your team control over where AI inference runs. Rather than routing all data through a public API by default, Jinba supports private model hosting options including AWS Bedrock, Azure AI, and self-hosted deployments. Your team configures which model endpoint each workflow step uses, keeping data governance aligned with your security and compliance policies.

Claude Cowork is an individual productivity tool without audit logs, RBAC, or SSO, and Anthropic's own documentation confirms it is not suitable for regulated workloads. Jinba is a team platform: workflows built in Jinba Flow are shared across your operations team with role-based permissions, Active Directory integration, version control, and full audit logging — the enterprise governance layer that Claude Cowork does not provide.

Yes. Jinba App provides a conversational interface with auto-generated input forms so non-technical business users, such as compliance officers, KYC analysts, and loan processors, can execute approved Claude-powered workflows safely. They interact through a governed run layer without touching the underlying workflow builder or model configuration, keeping execution consistent and compliant.

Jinba's architecture is 80% rule-based and deterministic, meaning Claude is invoked only for the workflow steps that genuinely require AI reasoning. Repetitive, structured logic runs as deterministic rules without token consumption. This architectural approach reduces AI API spend significantly compared to running stochastic LLM agents on every step, addressing the CFO-level concern about rising enterprise AI costs.