FinAIOS Manufacturing Solutions

Connect engineering and productionBring AI into manufacturing workflows

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.

Focus on applying scenes

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.

A blue, abstract draft of mechanical parts assembly and engineering maps

Task and outputs

Spare parts design tasks

Business information: • Design parameters • Drawing specifications

Working outputs

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.

Light abstract maps of orders, production tasks and orderly linking of inventory information

Task and outputs

Production orders and material follow-up

Business information: Production worksheets Material requirements Inventory and unusual records

Working outputs

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.

Light blue abstract maps of data curves, model comparisons and analytical information

Task and outputs

Vehicle residual value assessment analysis

Business information: Historical business data Qualifications Qualifications Qualifications Qualifications

Working outputs

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.

Enterprise knowledge and job skills

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.

FinLore · Enterprise knowledge base

Centrally maintained role-specific skills

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

FinSkills Hub · Private skills hub

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.

FinDesk · White-label AI desktop

Industrial software and business systems access

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.

Security and operational governance

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.

Explore FinSkills Hub

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.

Explore FinSAFE

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.

Explore FinGuard

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.

Explore FinHub

FDE delivery

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.

Explore FDE delivery

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.

YOUR NEXT STEP

Discuss manufacturing AI solutions
Put enterprise AI into practice

Discuss product combinations, pilot workflows and implementation around your teams, processes and existing systems.

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.

Connect engineering and productionBring AI into manufacturing workflows

Connect engineering and production systems

Part of everyday work

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

Parametric Modelling and Project Drawings

Process planning and time accounting

Design methods are continuously reused

Harmonization of engineering knowledge

Centrally maintained role-specific skills

Employees and agents working together

Development of design and simulation tools

Production and material management systems

Operational data and office collaboration

Clarifying operational mandates

Call for professional tools

Personnel review confirmed

Rewrite & Records Archive

Skill scanning and review

File and execution protection

Operational authorization and approval

Sessions and processing records

Business research and scene selection

Knowledge organization and skills containment

System access and secure commissioning

Pilot acceptance and ongoing operations

Discuss manufacturing AI solutionsPut enterprise AI into practice

Manufacturing programmeFrequently asked questions

What kind of scenes can manufacturing start?

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

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

How can FDE be implemented in conjunction with manufacturing projects?

Discuss manufacturing AI solutions
Put enterprise AI into practice

Manufacturing programme
Frequently asked questions