AI Solutions and Automation

Are your teams spending hours on work AI could handle?

We build AI tools tailored to your business.

Turn your existing business processes, data, and company knowledge into intelligent tools that save time, reduce costs, and speed up decision-making.

PLM Dynamics develops, programs, and customizes AI solutions around the real needs of companies and their employees.

  • Process analysis
  • Proof of Concept
  • Integration with ERP, CRM, PDM/PLM

We don't offer generic AI solutions that require you to adapt your business to the software.

We adapt AI to your business.

We analyze your existing processes, workflows, data sources, and specific challenges, then develop AI tools, agents, and automations that fit into your company's existing business environment.

  1. 01We analyze processes and data
  2. 02We build AI tools and agents
  3. 03We fit them into your environment
// Services

What can we do for your company?

AI delivers the most value when it solves a specific business problem. That's why every project starts with understanding the process you want to improve.

That could be a process that currently requires:

  • a large number of work hours
  • repeating the same tasks over and over
  • manual data processing
  • searching through large volumes of documents
  • several employees to get a single piece of information

Based on that, we develop or adapt an AI solution that speeds up, simplifies, or automates that process.

01

Custom AI Solution Development

Development of AI applications and tools based on your company's specific requirements. Each solution is designed around a specific business process, its users, data, and expected outcomes.

When it's the right fit: when no off-the-shelf tool covers your process.

02

AI Assistants and AI Agents

Specialized AI assistants that use your company's internal data and documentation to help employees in their day-to-day work.

  • Sales
  • Technical Support
  • Production
  • Logistics
  • Procurement
  • Management
  • Administration

When it's the right fit: when employees keep looking up the same information across documents and systems.

03

Business Process Automation

Connecting AI technology with existing processes to reduce manual and repetitive tasks. The goal isn't just to automate a single task, but to optimize the entire workflow wherever there's a business case for it.

When it's the right fit: when the same steps are repeated manually every day.

04

AI Data and Document Analysis

Analysis of large volumes of structured and unstructured data: documentation, reports, spreadsheets, technical specifications, and other business information. Users get the relevant information or analysis without lengthy manual searching and processing.

When it's the right fit: when the answer exists, but it's buried in hundreds of documents.

05

Integration with Existing Systems

An AI solution doesn't have to be yet another standalone piece of software. Depending on the project, AI capabilities are connected to the business systems, databases, and applications your company already uses.

  • ERP
  • CRM
  • PDM/PLM
  • WMS
  • TMS
  • BI
  • Databases
  • DMS

When it's the right fit: when the data exists, but it's scattered across multiple systems.

06

Optimization of Existing AI Solutions

If your company already uses AI tools or has started its own AI project, we analyze the existing solution, identify room for improvement, and adapt it to the real needs of users and business processes.

When it's the right fit: when an AI tool is in place, but employees don't use it or it doesn't deliver the expected results.

// How we work

From business problem to AI solution

You don't need to know in advance which AI tool you need. You only need to know which problem you want to solve.

Our job is to work with your team to analyze the process and find a way for AI to deliver measurable business value.

  1. Process Analysis

    We talk with users and analyze the current workflow, problems, bottlenecks, available data, and the tasks that take up the most time.

    OutcomeA clear picture of the process and where time is being lost.

  2. Identifying AI Potential

    We define where AI and automation can have the greatest impact and assess the potential benefits.

    OutcomeA selected use case with the greatest potential benefit.

  3. First test on your data

    Concept and Proof of Concept

    For the selected use case, we develop an initial concept or PoC that tests how the solution works on a real business example.

    OutcomeA decision to move forward based on testing, not assumptions.

  4. Development and Integration

    We develop the AI solution and, when needed, connect it to your existing data, applications, and business systems.

    OutcomeAn AI solution that works within your environment.

  5. Implementation and Optimization

    After implementation, we track results and further adapt the system to users' real needs.

    OutcomeA solution refined based on real-world use.

// Industries

Where can AI deliver value?

Select your industry and see where AI solutions can take on part of the workload in your processes.

01 / 08

Manufacturing and Machinery

Where AI helps

  • AI assistants for engineers
  • technical documentation analysis
  • drawing and document search
  • maintenance support
  • service information processing
  • production data analysis
  • automated reporting
  • support for technical decision-making
02 / 08

FMCG and Retail

Where AI helps

  • sales, inventory, and demand analysis
  • anomaly detection
  • report automation
  • sales team support
  • analysis across large numbers of SKUs and locations
  • AI assistants for internal business processes
03 / 08

Distribution and Wholesale

Where AI helps

  • sales and distribution data analysis
  • support for sales reps
  • inquiry processing
  • inventory analysis
  • administrative process automation
  • faster access to information across different business systems
04 / 08

Logistics and Transportation

Where AI helps

  • logistics data analysis
  • documentation automation
  • support for dispatchers and operators
  • deviation analysis
  • support for WMS/TMS processes
  • intelligent processing of large volumes of operational information
05 / 08

Energy and Infrastructure

Where AI helps

  • technical documentation search and analysis
  • AI-powered maintenance support
  • processing of reports, technical specifications, and historical data
  • support for engineers working with complex systems
06 / 08

Construction and AEC

Where AI helps

  • project documentation analysis
  • support for CAD/BIM processes
  • automation of administrative tasks
  • technical data search
  • development of specialized AI tools for design teams
07 / 08

Pharmaceutical and Process Industries

Where AI helps

  • intelligent document processing
  • support for internal procedures
  • information search
  • data analysis
  • automation of administrative and technical processes

Tailored to the requirements of each specific business environment.

08 / 08

Finance, Insurance, and Professional Services

Where AI helps

  • document and data processing
  • automated reporting
  • internal knowledge base
  • AI assistants for employees
  • automation of repetitive administrative processes
// Benefits

What does your company gain from implementing AI solutions?

The goal of an AI project isn't to implement technology for its own sake. The goal is a measurable business result.

01 // Time

Faster processes

  • Less time spent on routine tasks
  • Automation of repetitive work
  • Faster processing of large volumes of documents and data
  • Faster decision-making

How it's measuredProcess execution time before and after the solution is introduced.

02 // Cost and Capacity

More output with the same team

  • Lower operating costs
  • Reduced administrative workload for employees
  • Higher employee productivity
  • Scaling business processes without a proportional increase in headcount

How it's measuredCost and work hours per processed request, document, or order.

03 // Quality and Control

Fewer errors, consistent work

  • Fewer opportunities for human error
  • Standardized business processes
  • Better use of existing company data

How it's measuredNumber of errors, corrections, and deviations from the defined procedure.

04 // Knowledge

Knowledge everyone can access

  • Faster access to internal knowledge and documentation
  • Better availability of knowledge across the organization
  • Freeing up skilled employees from low-value tasks

How it's measuredTime it takes an employee to find the right information.

// Customization

Your data. Your processes. Your AI.

Generic AI

Generic AI systems know the world.

Business AI

Business AI needs to know your company.

The greatest value comes when AI understands how a specific organization works:

  • documentation
  • terminology
  • procedures
  • products
  • processes
  • ways of working

That's why we build AI solutions around each client's actual business environment, defining the right approach to data access, user permissions, integrations, and level of automation.

Defined for every project

Data Access

Which data sources AI uses and how it accesses them.

User Permissions

Which employees can use the solution and what information they can access.

Integrations

Which business systems, databases, and applications the solution connects to.

Level of Automation

What AI handles on its own and what requires an employee's review and approval.

Depending on your company's security requirements and IT policy, the solution architecture is defined individually for each project.

// Next step

We don't look for a process that fits AI. We look for AI that fits your process.

Check what applies to your company

Show us your process. Together, we'll analyze where AI can make a difference.

// FAQ

Have questions before starting an AI project?

What's important to know before the first conversation, from choosing tools to data access.

Didn't find your answer?

Describe the process you want to improve, and we'll answer specifically for your situation.

Ask a question
01

Do we need to know in advance which AI tool we need?

No. You only need to know which problem you want to solve. We work with your team to analyze the process, identify where AI can deliver measurable business value, and only then propose a solution.

02

How is a custom AI solution different from an off-the-shelf AI tool?

Generic AI systems know the world, but they don't know your company. A custom solution is designed around a specific business process, its users, data, and expected outcomes, so it understands your documentation, terminology, procedures, products, and way of working.

03

Can an AI solution work with the systems we already use?

An AI solution doesn't have to be yet another standalone piece of software. Depending on the project, AI capabilities are connected to the business systems, databases, and applications your company already uses, such as ERP, CRM, PDM/PLM, WMS, TMS, and BI systems. Which integrations are needed and feasible is determined during the process analysis.

04

What is a Proof of Concept, and why is it a separate step?

A Proof of Concept tests the proposed solution on your data before the complete system is developed and integrated. That way, the decision on further development is based on results, not assumptions.

05

How are data access and security handled?

Depending on your company's security requirements and IT policy, the solution architecture is defined individually for each project. For every solution, we define data access, user permissions, integrations, and the level of automation.

06

We already use AI tools, but they're not delivering the expected results. Can you help?

Yes. If your company already uses AI tools or has started its own AI project, we analyze the existing solution, identify room for improvement, and adapt it to the real needs of users and business processes.