Create Your Own AI Agents
AI Assistance for Design and technical Sales: Harness existing knowledge, identify connections, and create customized applications based on company data.
Here's what the informational session is about
Corporate data often contains insights that have not yet been utilized—or can only be utilized with great effort. MDESIGN studio uses AI to analyze existing information, reveal correlations, and create new decision-making frameworks based on these insights.
Preserving Knowledge Within the Company
Ensure that existing calculation data, tables, characteristic values, and empirical values can be used over the long term.
AI Decision-Making Assistants
Analyze company data and arrive more quickly at reliable technical and economic conclusions.
Create Your Own Agents
Create custom applications tailored to your specific needs from existing data without traditional programming.
Gain new insights
Identify patterns, relationships, dependencies, and opportunities for optimization in existing data.
Contents & details
Here's what you can expect in 30 minutes: a concise overview of AI-powered assistance, knowledge management, and in-house applications.
Knowledge preservation
Why Preserving Knowledge Is Important
Why Preserving Knowledge Is Important
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Making Knowledge Lasting and Accessible
An Overview of Why Knowledge Preservation Is Crucial for Companies Today. -
Use existing data sources
Calculation data, product variants, tables, parameters, material lists, measurement data, and price information. -
Bringing Together Dispersed Knowledge
Make better use of Excel spreadsheets, calculation results, bills of materials, prices, inventory levels, and empirical data. -
Retaining Expertise Within the Company
Existing experiential knowledge remains permanently available.
AI Assistant
How AI Assistants Help with Decision-Making
How AI Assistants Help with Decision-Making
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In-House Applications
Create applications for your own processes and challenges without traditional programming. -
Analyzing Data
Examining existing information for relevant correlations and influencing factors. -
Preparing Decisions
Design and technical Sales help you find the right option faster. -
Create More Well-Informed Proposals
Consider technical and economic requirements together.
Applications
How to Create Your Own Agents
How to Create Your Own Agents
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Import Data
Incorporate tables, specifications, prices, inventory levels, variants, and technical parameters. -
Check & Clean Data
Identify missing values, outliers, and sources of error. -
Create Custom Applications
Build applications that are tailored to your own processes and specific needs. -
Experience it live
See how MDESIGN studio creates custom applications from existing data.
Findings
How New Insights Are Formed
How New Insights Are Formed
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Recognizing Patterns
Highlighting recurring patterns in business data. -
Understanding Dependencies
Identifying relevant factors and interactions. -
enables predictions to derive new insights and a basis for decision-making. -
Find opportunities for optimization
Even incomplete or unstructured data provides new starting points.
Objectives of the information event
From Company Data to Practical Applications
Make existing data usable, identify patterns, and use them to create customized applications for Design and technical Sales .
The knowledge is already there
studio
Variants, price lists, and practical experience should be reviewed individually.
Evaluate technical and economic requirements together.
Background
How does MDESIGN studio work?
MDESIGN studio automatically converts existing data into tailored applications using AI technologies. Your data is not transferred to the web or stored externally; instead, it is imported, analyzed, and cleaned within the designated process and examined for relevant correlations. This process then results in customized applications that are tailored to your processes and specific needs.
Tables, key figures, prices, inventory levels, or technical parameters yield new insights—even when the data is incomplete, unstructured, or erroneous.
The result: Design and technical Sales are able to find the right solution faster, prepare more well-founded quotes, and respond to customer inquiries much sooner. This delivers speed, quality, and a clear competitive advantage.
Practical Example
Use Case in Detail
A customer inquires about a coupling. The known specifications include, for example, diameter, rotational speed, torque, and a budget that must be adhered to.
Without MDESIGN studio, an employee in the technical Sales department evaluates this information manually: Which option is technically feasible? Which solution fits within the budget? Which previous quotes, price lists, or internal experience can help? Do colleagues from Design or the costing department need to be involved?
Depending on the complexity, it can take many hours or even several days to produce a reliable quote. In the meantime, competitors have time to submit their own quotes.
MDESIGN studio uses existing company data to create a custom application for exactly these types of inquiries. The employee enters the customer's data, compares suitable options, takes technical and financial requirements into account, and evaluates options directly during the customer meeting.
Here’s how internal data can be turned into a real sales advantage: Quotes are generated faster, are specifically tailored to the customer’s needs, and existing knowledge and experience remain available to the company on a long-term basis— even if individual employees leave the company.
Date & participation
All registered participants will receive free access to the recording.
