Manufacturing AI Chatbot That Integrates With Your ERP

Stop wrestling with generic bots. Use Jinba Flow to build and deploy a chatbot that connects directly to your ERP for real-time data and automated FAQs.

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Build a manufacturing AI chatbot workflow using Jinba Flow for a manufacturing operations team. When a worker or supervisor submits a query via chat (e.g., production schedule, inventory level, or equipment status), the AI should validate and classify the query, then route it based on type: standard FAQs get answered automatically from ERP data, complex operational queries escalate to a supervisor for review. All interactions must be logged to a database for audit and compliance purposes.

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A Custom Manufacturing AI Chatbot Built on Governed Workflows

Workflow diagram

Jinba's SOC II compliant platform lets manufacturing IT and operations teams build a custom AI chatbot tailored to their production environment. With Jinba Flow's chat-to-flow generation and visual editor, you can define exactly how queries are handled, routed, and escalated. Deploy it as an API or MCP server so every team member interacts through a controlled, auditable interface.

  • Describe your chatbot logic in natural language and refine it in a visual flowchart editor, mapping out ERP queries, FAQ automation, and escalation paths
  • Configure routing rules to distinguish standard FAQ responses from complex operational queries, with exception handling for critical production issues
  • Validate and enrich every query by pulling real-time data from connected ERP systems, ensuring responses are grounded in live production and inventory data
  • Maintain a complete audit log of every chatbot interaction, including who asked, what was answered, and when, for full operational traceability

How Jinba Powers Your Manufacturing AI Chatbot

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1
Build in Jinba Flow

Describe your chatbot in natural language, for example: answer production schedule and inventory FAQs automatically, escalate equipment issues to a supervisor. Jinba generates the workflow draft and you refine it in a visual flowchart editor.

test_runner.log
Running workflow test...
Input validation 12ms
Fetch from Sheets API 847ms
Process 24 rows 156ms
Send to #sales 203ms
PASS All steps completed 1.22s
Output preview:
"sent": true, "channel": "#sales"
2
Deploy securely (API / batch / MCP)

Publish the chatbot workflow as an API or MCP server for immediate plant-wide use. Enterprise controls including on-prem hosting, SSO, RBAC, and SOC II compliance keep your operational data secure.

3
Run in Jinba App (guardrailed UI)

Workers and supervisors interact with the chatbot through Jinba App via a conversational interface or auto-generated forms. Every query is routed, answered, and logged according to your defined rules.

Enterprise Ready

Control, security, and support for large organizations.

On-Prem
Jinba
Private

On-premises or private cloud hosting

Run Jinba in your own environment with full data control.

Team Permissions
128 Active
Sarah Chen
Sarah Chen Engineering Lead
Workflows
Michael Ross
Michael Ross Product Manager
Analytics
Guest User
Guest User External Auditor
Admin Access
SSO Enforced
Updated 2m ago

Advanced access control

Role-based permissions and SSO integration.

audit_stream.log
1
[200] 09:14:22 GET /api/v1/health_check
2
[INFO] 09:14:23 Worker node_04 connected
3
[AUTH] 09:15:01 User admin@corp verified
4
[AUDIT] 09:15:02 Role assignment update
5
// Syncing to edge...
6
[200] 09:15:08 Config updated

Audit logging

Complete compliance and security oversight tracking.

User
Marketing
RESTRICTED
HR
ALLOWED
Screening
Automation

Organization management

Spaces, roles, and approvals for your team.

OpenAI
Gmail
Slack
HubSpot
Salesforce
Notion
Linear
GitHub
Teams
Dropbox
OpenAI
Gmail
Slack
HubSpot
Salesforce
Notion
Linear
GitHub
Teams
Dropbox

Pre-built & custom integrations

100+ pre-built integrations plus custom connectors for your internal systems.

Alice
Alice 10:42 AM
We need a connector for our internal CRM. Is this possible?
James
James 10:43 AM
Sure! Can you share the API spec?
Alice
crm_api_spec.pdf
James
Got it. I'll have the connector ready by tomorrow.
James
James Next day
Connector is live!
Alice
Thank you!

Dedicated Engineer Support

Work side-by-side with our engineers to remove blockers and accelerate your workflow development.

AWS Bedrock Claude 3.5 Sonnet
Azure OpenAI GPT-4 Turbo
Meta Llama 3 Self-hosted 70B

Private model hosting

Use Bedrock, Azure AI, or your own models securely.

On-Prem
Jinba
Private

On-premises or private cloud hosting

Run Jinba in your own environment with full data control.

Team Permissions
128 Active
Sarah Chen
Sarah Chen Engineering Lead
Workflows
Michael Ross
Michael Ross Product Manager
Analytics
Guest User
Guest User External Auditor
Admin Access
SSO Enforced
Updated 2m ago

Advanced access control

Role-based permissions and SSO integration.

audit_stream.log
1
[200] 09:14:22 GET /api/v1/health_check
2
[INFO] 09:14:23 Worker node_04 connected
3
[AUTH] 09:15:01 User admin@corp verified
4
[AUDIT] 09:15:02 Role assignment update
5
// Syncing to edge...
6
[200] 09:15:08 Config updated

Audit logging

Complete compliance and security oversight tracking.

User
Marketing
RESTRICTED
HR
ALLOWED
Screening
Automation

Organization management

Spaces, roles, and approvals for your team.

OpenAI
Gmail
Slack
HubSpot
Salesforce
Notion
Linear
GitHub
Teams
Dropbox
OpenAI
Gmail
Slack
HubSpot
Salesforce
Notion
Linear
GitHub
Teams
Dropbox

Pre-built & custom integrations

100+ pre-built integrations plus custom connectors for your internal systems.

Alice
Alice 10:42 AM
We need a connector for our internal CRM. Is this possible?
James
James 10:43 AM
Sure! Can you share the API spec?
Alice
crm_api_spec.pdf
James
Got it. I'll have the connector ready by tomorrow.
James
James Next day
Connector is live!
Alice
Thank you!

Dedicated Engineer Support

Work side-by-side with our engineers to remove blockers and accelerate your workflow development.

AWS Bedrock Claude 3.5 Sonnet
Azure OpenAI GPT-4 Turbo
Meta Llama 3 Self-hosted 70B

Private model hosting

Use Bedrock, Azure AI, or your own models securely.

Build Your Manufacturing AI Chatbot on Jinba

If your production teams are stuck waiting for answers buried in ERP menus or email chains, Jinba can turn that into a governed, real-time chatbot your entire operation can rely on.

Book a Demo

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.

Can the chatbot pull real-time data from our ERP system?

Yes. Jinba Flow workflows can connect to your ERP and other internal systems via APIs and integrations. When a worker submits a query, the workflow fetches live production, inventory, or schedule data to provide accurate, up-to-date responses rather than relying on static knowledge bases.

How do we handle queries the chatbot cannot answer?

You define escalation rules in Jinba Flow's visual editor. Queries that fall outside defined FAQ categories or exceed a complexity threshold are automatically routed to a supervisor for review. Notifications can be sent via Slack, email, or Teams to ensure nothing is missed.

Is the chatbot secure enough for enterprise manufacturing environments?

Jinba is SOC II compliant and supports on-premises or private cloud hosting, SSO, and role-based access control. This means your operational data stays within your controlled environment and only authorized personnel can access specific workflow outputs.

Do our floor workers need to learn new tools to use it?

No. Workers interact through Jinba App using a simple conversational chat interface. When structured inputs are needed, the app auto-generates forms so users never have to navigate complex tooling. Builders configure the logic in Jinba Flow; users just ask questions.

Can we build this without a large engineering team?

Yes. Jinba Flow's chat-to-flow generation lets you describe the chatbot logic in plain language and produces a workflow draft automatically. Semi-technical operations or IT teams can then refine it in the visual editor without writing custom code for every integration.

How are chatbot interactions tracked for compliance?

Every interaction processed through a Jinba workflow is captured in a complete audit log, including the query, the data pulled, the response given, any escalations triggered, and timestamps. This provides full traceability for operational reviews or compliance audits.

Can the same chatbot serve multiple departments or production lines?

Yes. Workflows built in Jinba Flow are reusable and can be deployed as APIs or MCP servers consumed by multiple teams. Role-based access control ensures each department or production line only sees the queries and data relevant to their scope.

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