AI – Infrastructure and Solutions

When should AI be deployed on-premises, and when should cloud services be used?

The choice depends primarily on the type of data, required performance, how AI models will be used, and the organization's security policies. On-premises AI infrastructure may be justified when data control, predictable costs, low latency, or integration with local systems are important. In other cases, a cloud-based or hybrid model may be more efficient. Monolit IT experts help select the architecture best suited to each specific application.

Does deploying AI agents always require dedicated GPU servers?

No. An AI agent can use models running locally, in the cloud, or within a hybrid architecture. Dedicated GPU servers are primarily needed when an organization wants to run models locally, process larger volumes of data, reduce dependence on external services, or gain greater control over its environment. Infrastructure decisions should be based on the actual requirements of the solution, rather than simply on the fact that AI is being used.

How can existing IT infrastructure be prepared to run AI models?

Preparing the environment requires assessing more than just computing power. Memory, storage, network bandwidth, data access methods, cooling, power supply, and infrastructure security are equally important. Depending on the application, modernization may involve a single workstation, a GPU server, or a larger computing environment. The starting point should be an analysis of planned AI workloads and the existing IT architecture.

How can an AI agent use a company's internal knowledge without training a custom model from scratch?

One approach is to use RAG (Retrieval-Augmented Generation) architecture. This makes it possible to connect an AI model to controlled sources of organizational knowledge, such as documentation, procedures, databases, and information repositories. The agent can then retrieve relevant information and use it when generating responses or performing tasks, without the need to train a custom model from scratch.

How can organizations prevent AI deployments from becoming yet another isolated application within their IT environment?

AI solutions should be designed as part of an organization's existing architecture. This means integrating them with business systems, CRM, ERP, databases, documents, authentication mechanisms, and established security policies. As a result, an AI agent or application can access the appropriate data and processes instead of operating as a standalone tool that requires additional manual handling.

Where can AI agents be used within a company?

AI agents can support employees wherever processes involve analyzing information, working with documents, retrieving data, or performing repetitive tasks. Examples of applications include:

• Sales
  Assistance with preparing quotations, analyzing customer inquiries, retrieving product and service information, and gathering the data needed by sales teams.
  
  
• Customer Service
  Answering questions based on the company's knowledge base, documentation, and procedures, while helping customer service representatives find information more quickly.
  
  
• Technical and IT Departments
  Analyzing technical documentation, retrieving information from procedures, manuals, and knowledge bases, and supporting the handling of service requests.
  
  
• Administration and Back Office
  Analyzing documents, classifying information, preparing reports and summaries, and automating repetitive administrative tasks.
  
  
• Procurement and Logistics
  Analyzing supplier quotations, comparing specifications, retrieving information, and supporting procurement processes.
  
  
• HR
  Supporting work with employee documentation, procedures, regulations, and internal knowledge bases.
  
  
• Finance and Controlling
  Analyzing data, documents, and reports, and preparing summaries and information to support finance teams.
  
  
• Knowledge Management
  Developing AI agents that use organizational documents, procedures, and data to help employees quickly find the information they need.