# Connect engineering and production Bring AI into manufacturing workflows

Source page: https://www.finogeeks.com/en/solutions/manufacturing
Language: en

For equipment, automotive and component manufacturers, connect design standards, process knowledge and business tools to role-specific agents. Assist with modeling, drawings, work orders, materials and data analysis through unified workspaces and security controls, reducing repetitive work and retaining engineering expertise.

### Connect engineering and production systems

Design specifications CATIA MES / ERP / WMS

Business knowledge Business skills / FinClaw post

### Part of everyday work

Research and development design Production synergies Data analysis

Skills clearance / Safe sandbox / Operation approval / All-way records.

## Focus on specific employee tasks / Bring AI to engineering and production

Start with repetitive design work, cross-system queries and data experiments. Define the information, tools and outputs required for each task to put AI into practical use.

Design engineer. Process engineer. Research and development team.

### Connect CATIA with your design standards Assist with modeling, drawings and process planning

Give role-specific agents component requirements, design parameters and enterprise standards. Use professional design-software APIs for parametric modeling, engineering drawings and result review.

- Parametric Modelling and Project Drawings Use CATIA APIs for modeling and drawings, and organize component models, engineering drawings and bills of materials.

- Process planning and time accounting Extract drawing features, dimensions and historical production data to help prepare process sheets and estimate operation times.

- Design methods are continuously reused Package operating steps, design standards and output templates as business skills, refined through engineering review.

### Spare parts design tasks

- Parametric models and project maps

- BOM List and Process Card

- Design results to be reviewed by engineers

Engineers review models, sizes and process requirements, confirm them and enter the follow-up process.

Team Leader Planner Material and Production Management Team

### Connect MES, ERP and WMS Query work orders, track materials and handle exceptions

Expose production and materials queries, forms and updates as business tools. Employees submit tasks in a shared workspace, and agents gather information, organize exceptions and prepare actions.

- Worksheets and production progress queries Queries on the status of work orders, associated tasks and production progress, summarizing matters requiring follow-up.

- Linkage between material and inventory information Use ERP and WMS inventory data to identify material shortages, missing information and cross-team actions.

- Unusual Filling and System Relay Turn employee descriptions into standardized exception records. Update business systems after permission checks and human confirmation.

### Production orders and material follow-up

- Summary of progress of worksheets and materials

- Abnormal information and list of to-dos

- Business update by approval

Operations staff identify anomalies and updates and maintain records of approval and system operations.

Data Analyst Asset Evaluator Algorithms Development Team

### Organizational data processing and modelling optimization around asset assessment and business analysis

Start with tasks such as residual-value assessment across a vehicle's lifecycle. Connect enterprise data and modeling tools for feature engineering, hyperparameter tuning and model comparisons, reducing repeated preparation and experiments.

- Data collation and feature engineering Data processing methods and characterization are documented in conjunction with historical business data preparation analysis.

- Parameters to Optimize to Models Organization of experimental tasks for regression, classification and time-series modelling, and aggregation of parameter configuration and assessment results.

- Results of review and retention of methods Retain data definitions, experiment records and analytical findings for professional review and reuse in later tasks.

### Vehicle residual value assessment analysis

- Characteristics and Experimental Parameter Records

- Evaluation comparison of different models

- Reviewable analytical reports and approaches

Professionals verify data calibrations, evaluation methods and results and confirm them for use in business analysis.

## Build reusable engineering knowledge and skills

Organize drawing standards, process documents, past projects and operating methods, distinguishing reference information from executable skills. Give agents reliable sources and reusable methods across roles.

### Harmonization of engineering knowledge

Collect design standards, historical drawings, process documents, bid materials and maintenance manuals, retaining sources and versions.

### Centrally maintained role-specific skills

Package design operations, process planning and system-entry steps as skills. Centrally manage scanning, review, publishing and versions.

### Employees and agents working together

Employees use role-specific workspaces to review information, apply professional judgment and confirm critical results. Agents assist with queries, preparation and execution.

## Connect existing software and business systems / Create end-to-end task workflows

Connect industrial software and enterprise systems through APIs, MCP and business skills while retaining existing tools and data. Link information access, tool calls, human review and system updates to reduce switching and duplicate entry.

CATIA / ANSYS / Research and Development Tool

### Development of design and simulation tools

Use APIs from tools such as CATIA and ANSYS for modeling, drawings and simulation, linking design parameters to engineering outputs.

MES / ERP / WMS

### Production and material management systems

Connect work-order, material, inventory and exception APIs. Keep business queries, human confirmation and system updates within one task.

Business data / Knowledge base / Collaboration tool

### Operational data and office collaboration

Connect historical business data, enterprise knowledge and collaboration tools to organize analysis, task records and cross-team follow-up.

- 01 Clarifying operational mandates Identification of needs, parameters and range of operations.

- 02 Call for professional tools Use of interfaces, MCPs and business skills.

- 03 Personnel review confirmed Verification results and changes to be implemented.

- 04 Rewrite & Records Archive Update the system as mandated, retain the results.

## Protect engineering files and business data / Approve and trace critical actions

Manage skill publication, task execution, business changes and processing records in your own environment. Apply file permissions, system access and human review to specific tasks.

Before skills go up.

FinSkills Hub

### Skill scanning and review

Check skill scripts, tool declarations and business rules before adding approved versions to the private enterprise catalog.

While the task was being performed

FinSAFE

### File and execution protection

Limit access to drawings, process files, tool processes, networks and resources, and execute tasks within a sandbox.

Before business changes

FinGuard

### Operational authorization and approval

Check permissions and approvals before writes to MES, ERP and other systems. Manage credentials and prevent duplicate execution of the same request.

task-wide process

FinHub

### Sessions and processing records

Retain sessions and task records linked to tool calls, approvals and results so business processing can be reviewed.

## Start with role-based workflows / Integrate systems and deliver working applications

FDE teams work with engineering, production and IT staff to map working methods, organize knowledge, package skills, connect systems and configure security. Validate results with real tasks before expanding to more roles.

- 01 Business research and scene selection Interview engineering, production and IT teams to identify frequent tasks, business problems and acceptance goals.

- 02 Knowledge organization and skills containment Organize drawings, process information and maintenance materials. Turn operating steps and business rules into role-specific skills.

- 03 System access and secure commissioning Configure industrial software, business APIs, permissions and approvals, then validate the workflow in a sandbox.

- 04 Pilot acceptance and ongoing operations Launch a limited pilot, review results and hand over operations. Keep knowledge, skills and security rules up to date.

## Manufacturing programme / Frequently asked questions

### What kind of scenes can manufacturing start?

Start with repetitive modeling and drawing, work-order or material queries, exception reporting or data analysis. Define information, software APIs, responsibilities and outputs, then validate one complete workflow before expanding.

### Can you connect existing CAD, MES, ERP etc.?

Use APIs, MCP or authorized tools from industrial software and business systems. Package operations as skills so employees can access information, submit tasks and confirm results from one workspace while retaining existing systems.

### How can access to design information and production systems be managed?

Configure data access in your own environment. FinSkills Hub manages skill reviews and versions, FinSAFE limits file, process and network access, and FinGuard checks action permissions and approvals. Link sessions, execution and audit records for review.

### How can FDE be implemented in conjunction with manufacturing projects?

FDE teams work with business, engineering and IT staff to map processes and knowledge, package skills, connect systems and configure security. Complete trials and business acceptance before production handover, including operating procedures and maintenance responsibilities.

## Related resources

- [FinLore · Enterprise knowledge base](https://www.finogeeks.com/en/products/finlore)
- [Explore FinSkills Hub](https://www.finogeeks.com/en/products/finskills-hub)
- [FinDesk · White-label AI desktop](https://www.finogeeks.com/en/products/findesk)
- [Explore FinSAFE](https://www.finogeeks.com/en/products/agent-security)
- [Explore FinGuard](https://www.finogeeks.com/en/products/finguard)
- [Explore FinHub](https://www.finogeeks.com/en/products/finhub)
- [Explore FDE delivery](https://www.finogeeks.com/en/services/fde)
