Cut AI Token Costs With Deterministic Workflows
Jinba replaces costly stochastic AI agents with deterministic workflows that are 15 to 60x cheaper to run at scale. Built for regulated enterprises that need compliance without runaway LLM spend.
ai token cost optimization
Trusted by
A Structural Fix for Enterprise AI Token Costs
Jinba's SOC II compliant workflow platform gives CFOs and Heads of Operations at banks and insurance companies a genuine architectural answer to spiraling LLM API costs. By shifting 80% of workflow execution to deterministic rule-based logic, Jinba eliminates the token burn that comes from running stochastic AI agents on every workflow step — without sacrificing compliance, auditability, or performance.
- Describe the workflow you need in plain language and refine it in a visual editor, shifting logic from expensive LLM calls to deterministic rule-based steps
- Configure routing rules, thresholds, and exception handling so only the steps that truly require AI invoke a model — eliminating unnecessary token consumption
- Validate and enrich inputs automatically from connected systems so AI steps receive clean, complete data and avoid redundant model calls
- Capture a full audit log of every execution with timestamps, decision paths, and outputs so compliance and finance teams can verify exactly where tokens are being spent
How Jinba Reduces Your AI Token Spend
Use Jinba Flow's chat-to-flow generator or visual editor to design workflows that isolate AI steps from deterministic rule-based steps. Replace stochastic agent loops with structured logic wherever a rule can do the job.
Publish workflows as APIs, batch processes, or MCP servers on your own infrastructure. On-premise and private-cloud deployment means no data leaves your environment and token usage stays fully within your control.
Business users execute workflows through Jinba App's conversational interface with auto-generated forms. Deterministic execution paths keep token consumption predictable and auditable for every run.
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.
Bring Your AI Spend Under Control
If your CFO is asking hard questions about LLM API costs, Jinba can show you exactly how a deterministic workflow architecture reduces token spend at scale while keeping every execution compliant and auditable.
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.
What makes Jinba's approach to token cost reduction different?
Do we have to replace our existing LLM provider to use Jinba?
Is Jinba compliant with regulated industry requirements?
Can non-technical teams benefit from Jinba without being workflow builders?
How does Jinba handle the workflows that do require AI steps?
What kinds of workflows does Jinba support in financial services?
How long does it take to build and deploy a workflow in Jinba?
Build your way.
The AI layer for your entire organization.