Control Your Agentic AI Enterprise Cost
Escalating LLM API bills are threatening enterprise AI ROI. Jinba Flow replaces costly stochastic agents with deterministic workflows that are auditable and built for regulated industries.
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A Structural Fix for Agentic AI Cost at Enterprise Scale
Jinba's deterministic architecture runs 80% rule-based workflows that cost a fraction of stochastic LLM agents at production scale. Built for regulated enterprises in banking, insurance, legal, and healthcare, Jinba Flow lets operations and IT teams design governed automations via chat or a visual editor — then deploy them on-premise with full audit trails, RBAC, and SSO.
- Describe any workflow in plain language and have Jinba generate a draft instantly, then refine it in a visual flowchart editor before deploying
- Configure routing rules, cost thresholds, and exception logic so deterministic steps run first and LLM calls are reserved only for what requires them
- Validate and enrich data automatically from connected enterprise systems before any AI model is invoked, reducing unnecessary token consumption
- Maintain a complete audit log of every execution with timestamps, step outputs, and change history — required for regulated industry compliance
From Pilot to Production Without the Token Burn
Use Jinba Flow's chat-to-flow generation to describe your enterprise workflow in plain language. Refine the generated draft in the visual editor, setting deterministic rules and routing logic that run without invoking an LLM on every step.
Publish your workflow as an API, batch process, or MCP server on-premise or in a private cloud. Enterprise controls including SSO, RBAC, SOC II compliance, and version control are built in from day one.
Business users execute approved workflows through Jinba App via a conversational interface with auto-generated input forms. Every run is logged, every step is auditable, and LLM calls are only made where the workflow genuinely needs them.
Enterprise Ready
Control, security, and support for large organizations.
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.
Reduce Your Enterprise Agentic AI Costs
If your CFO is pushing back on LLM API spend, Jinba can show you exactly where token burn is structural and how deterministic workflows eliminate it at the source. Talk to our team to see a live cost comparison.
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.
Why is agentic AI so expensive at enterprise scale?
How does Jinba reduce LLM API costs in practice?
Can Jinba deploy on-premise for regulated enterprises?
What compliance controls does Jinba include?
Who uses Jinba Flow to manage AI operational costs?
How is Jinba different from n8n or Power Automate for enterprises?
Does Jinba offer AI consulting alongside the platform?
Build your way.
The AI layer for your entire organization.