Your Seats Are Not the Problem. Your API Bill Is.
ChatGPT Enterprise is priced per seat. The workflows your teams automate on top of it are billed per token, on every execution. Jinba Flow replaces those stochastic agents with deterministic workflows and runs them at a fraction of the cost.
Rebuild our KYC document intake so a model is only called when it has to be. Check the required fields, formats, and completeness with plain rules first, then pull the customer record, risk profile, and prior submissions from our internal database. Use AI only to read the unstructured content. Let standard cases proceed automatically with no model call at all, flag high-risk ones to the assigned compliance officer with a document summary, and log the full execution trace with the decision path and reviewer identity.
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The Structural Answer to Compounding AI Spend
Jinba Flow is built for regulated enterprises that have moved past pilots and found the cost sitting in API token spend rather than in seat licences. Its deterministic architecture runs 80% of workflow logic as rule-based steps, removing the token burn that occurs when a stochastic agent executes every step of every workflow. That architecture delivers a 15 to 60x cost advantage, addressing CFO pushback through design rather than prompt optimization.
- Describe your workflow in plain language and Jinba generates a full draft automatically, then refine every step in a visual flowchart editor before deployment
- Configure routing rules, compliance thresholds, and exception paths so workflows execute consistently without hitting an LLM on every decision node
- Validate inputs and enrich data from connected internal systems before each workflow step, reducing redundant AI calls and ensuring clean outputs
- Deploy on-premise with full audit logging, role-based access controls, and version history so every execution is traceable for regulators
From Costly AI Pilots to Governed Production Workflows
Describe the workflow you need to automate in plain language. Jinba generates a structured workflow draft instantly, which your team refines in a visual editor with routing rules, thresholds, and conditional logic — no professional services required.
Publish your workflow as an API, batch process, or MCP server. Deploy on-premise or in a private cloud environment, with SOC II compliance, SSO, RBAC, and Active Directory integration configured for your enterprise.
Business users execute approved workflows via Jinba App using a conversational interface with auto-generated input forms. Every execution is logged with full audit trails for compliance officers and regulators to review.
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.
See If Jinba Can Reduce Your Enterprise AI Spend
If ChatGPT enterprise pricing is creating CFO pressure, our team can walk you through how Jinba's deterministic architecture compares to your current AI spend and what a migration to governed, on-premise workflows would look like for your organization.
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.
ChatGPT Enterprise is a per-seat plan — why does AI spend still become a problem at scale?
How does Jinba reduce AI token costs by 15 to 60x?
Can Jinba deploy on-premise without sending data to OpenAI or Anthropic?
Is Jinba compliant for regulated industries like banking and insurance?
What kinds of workflows can Jinba replace that currently use ChatGPT?
How long does it take to build and deploy a workflow in Jinba?
Does Jinba support team-wide workflow sharing with governance controls?
Build your way.
The AI layer for your entire organization.