Cut Enterprise LLM Costs Up to 60x With Deterministic Workflows
Jinba Flow replaces stochastic AI agents with deterministic workflows that slash token burn. Built for regulated enterprises that need auditability and predictable AI costs at scale.
llm cost optimization
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A Structural Fix for Enterprise LLM Token Burn
Jinba Flow's deterministic architecture runs 80% rule-based workflows, eliminating the runaway token costs that come from stochastic AI agents executing on every workflow step. Built for CFOs and operations leaders at regulated banks and insurance companies who need cost predictability alongside full compliance.
- Describe any workflow in plain language and generate a draft instantly with chat-to-flow, then refine every branching rule and cost threshold in a visual editor
- Configure deterministic routing rules, exception handling, and escalation paths so LLM calls only fire when truly necessary — not on every execution step
- Validate and enrich workflow inputs automatically from connected internal systems, reducing redundant LLM inference calls and improving output accuracy
- Every execution is logged with a full audit trail including inputs, outputs, routing decisions, and timestamps — giving compliance teams and CFOs complete visibility into AI spend
From Token Burn to Deterministic Control in Three Steps
Use Jinba Flow's chat-to-flow generation to describe your workflow. Jinba drafts it automatically, then your team refines routing rules, conditions, and LLM call placements in the visual editor — ensuring AI is only invoked where it adds real value.
Publish your cost-optimized workflow as an API, batch process, or MCP server. Deploy on-premise or in a private cloud environment with SSO, RBAC, and SOC II compliant controls — no data leaves your environment.
Business users execute workflows safely through Jinba App's conversational interface with auto-generated input forms. Deterministic execution keeps costs predictable, outputs auditable, and every run logged for compliance.
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.
Stop the Token Burn. Talk to Our Team.
If your CFO is pushing back on LLM API spend, Jinba offers a structural answer. Our team can walk you through how deterministic workflows replace stochastic agents and what that means for your AI budget at scale.
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 does Jinba reduce LLM API costs structurally?
Is this a prompt optimization tool or a workflow platform?
Can Jinba workflows run on-premise without sending data to external LLM APIs?
How does Jinba compare to running AI agents with ChatGPT or Claude APIs?
Does Jinba maintain audit logs for every workflow execution?
What kinds of enterprise workflows benefit most from LLM cost optimization?
Can non-technical teams use Jinba without engineering support?
Build your way.
The AI layer for your entire organization.