(Media about us): AI in companies: The biggest saving is employees’ time
Artificial intelligence in companies is rapidly moving from experimentation to everyday use. At the same time, key questions remain: how to get quick answers from internal documentation without putting data at risk, and how to integrate AI into processes while keeping control firmly in the company’s hands. The editorial team of Podjetna Slovenija discussed these topics with Vladimir Djurdjič, Head of Business Development, who is behind the development of the Chaty business conversational assistant and Pro.Cloud AI services within the ACTUAL I.T. group. Welcome and enjoy reading!
What business problem does Chaty solve, and where does its impact show the fastest?
Chaty addresses scattered knowledge and information trapped across large volumes of internal documents. It reduces the time employees spend searching, collecting, and summarizing content, while also relieving repetitive procedures, either fully automatically or with human oversight. The fastest impact is usually seen in customer support, call centers, and internal communication and training, but it also integrates well into sales, procurement, production, service, finance, and HR.
Chaty is designed for working with documents. What does this look like in practice?
The user asks questions in Slovenian, and Chaty responds based on internal documentation such as contracts, instructions, offers, or technical descriptions. The key benefit is that users can access verified information more quickly and use it in operational processes without having to search through folders, emails, and internal archives.
Security is usually the first question with solutions like this. How do you ensure that data remains in a protected environment?
Security was built into the solution from the ground up. Chaty can operate on the company’s own infrastructure (on-premise) or in a highly secure private cloud, without access to public AI services via the internet. Access is managed through roles and authorizations, so each user only sees the content they are authorized to access. The system also includes observability mechanisms (audit trail) and filters for inappropriate or malicious queries.
You mention answer evaluation and storing “good” solutions. How is knowledge managed so that incorrect information is not reinforced?
Users can rate, supplement, or correct an answer, allowing the system to become better aligned with the company’s language and practices. To prevent incorrect information from being embedded into the knowledge base, an approval process can be introduced in which an authorized person reviews suggestions before they are added. Since the knowledge base is dynamic, outdated documents can be removed or replaced, ensuring that Chaty works with up-to-date content.
You present Pro.Cloud AI as “secure AI as a service.” What does the customer actually get with this approach?
Pro.Cloud AI enables the use of AI as a service (AIaaS) in a private cloud or on the customer’s premises, with clear control over data and usage. Because the platform is hosted in Slovenia, it also provides customers with an element of digital sovereignty and compliance with the European regulatory framework. Compliance with standards such as ISO 42001 and ISO 27001 means structured risk management, documentation, and oversight of AI use. For companies, this is often also a more cost-effective entry point, since there is no immediate need to invest in their own hardware and GPU capacity.
How does your approach (private cloud/on-premise) compare with major public generative AI providers?
Major providers offer general-purpose tools, while Pro.Cloud AI addresses the need for local jurisdiction, data sovereignty, and customization. We also see an advantage in more transparent costs, without the typical “hidden” data transfer costs, and in direct access to local experts who understand the Slovenian environment and language specifics. This is important for organizations that place the greatest value on security, flexibility, and long-term independence.
The interview was published in the February edition of the magazine Podjetna Slovenija.
NAZAJ NA: Actual I.T. Novice | Unistar novice | Astec novice | Itelis novice
(Media about us): AI in companies: The biggest saving is employees’ time
Artificial intelligence in companies is rapidly moving from experimentation to everyday use. At the same time, key questions remain: how to get quick answers from internal documentation without putting data at risk, and how to integrate AI into processes while keeping control firmly in the company’s hands. The editorial team of Podjetna Slovenija discussed these topics with Vladimir Djurdjič, Head of Business Development, who is behind the development of the Chaty business conversational assistant and Pro.Cloud AI services within the ACTUAL I.T. group. Welcome and enjoy reading!
What business problem does Chaty solve, and where does its impact show the fastest?
Chaty addresses scattered knowledge and information trapped across large volumes of internal documents. It reduces the time employees spend searching, collecting, and summarizing content, while also relieving repetitive procedures, either fully automatically or with human oversight. The fastest impact is usually seen in customer support, call centers, and internal communication and training, but it also integrates well into sales, procurement, production, service, finance, and HR.
Chaty is designed for working with documents. What does this look like in practice?
The user asks questions in Slovenian, and Chaty responds based on internal documentation such as contracts, instructions, offers, or technical descriptions. The key benefit is that users can access verified information more quickly and use it in operational processes without having to search through folders, emails, and internal archives.
Security is usually the first question with solutions like this. How do you ensure that data remains in a protected environment?
Security was built into the solution from the ground up. Chaty can operate on the company’s own infrastructure (on-premise) or in a highly secure private cloud, without access to public AI services via the internet. Access is managed through roles and authorizations, so each user only sees the content they are authorized to access. The system also includes observability mechanisms (audit trail) and filters for inappropriate or malicious queries.
You mention answer evaluation and storing “good” solutions. How is knowledge managed so that incorrect information is not reinforced?
Users can rate, supplement, or correct an answer, allowing the system to become better aligned with the company’s language and practices. To prevent incorrect information from being embedded into the knowledge base, an approval process can be introduced in which an authorized person reviews suggestions before they are added. Since the knowledge base is dynamic, outdated documents can be removed or replaced, ensuring that Chaty works with up-to-date content.
You present Pro.Cloud AI as “secure AI as a service.” What does the customer actually get with this approach?
Pro.Cloud AI enables the use of AI as a service (AIaaS) in a private cloud or on the customer’s premises, with clear control over data and usage. Because the platform is hosted in Slovenia, it also provides customers with an element of digital sovereignty and compliance with the European regulatory framework. Compliance with standards such as ISO 42001 and ISO 27001 means structured risk management, documentation, and oversight of AI use. For companies, this is often also a more cost-effective entry point, since there is no immediate need to invest in their own hardware and GPU capacity.
How does your approach (private cloud/on-premise) compare with major public generative AI providers?
Major providers offer general-purpose tools, while Pro.Cloud AI addresses the need for local jurisdiction, data sovereignty, and customization. We also see an advantage in more transparent costs, without the typical “hidden” data transfer costs, and in direct access to local experts who understand the Slovenian environment and language specifics. This is important for organizations that place the greatest value on security, flexibility, and long-term independence.
The interview was published in the February edition of the magazine Podjetna Slovenija.
(Media about us): AI in companies: The biggest saving is employees’ time
Artificial intelligence in companies is rapidly moving from experimentation to everyday use. At the same time, key questions remain: how to get quick answers from internal documentation without putting data at risk, and how to integrate AI into processes while keeping control firmly in the company’s hands. The editorial team of Podjetna Slovenija discussed these topics with Vladimir Djurdjič, Head of Business Development, who is behind the development of the Chaty business conversational assistant and Pro.Cloud AI services within the ACTUAL I.T. group. Welcome and enjoy reading!
What business problem does Chaty solve, and where does its impact show the fastest?
Chaty addresses scattered knowledge and information trapped across large volumes of internal documents. It reduces the time employees spend searching, collecting, and summarizing content, while also relieving repetitive procedures, either fully automatically or with human oversight. The fastest impact is usually seen in customer support, call centers, and internal communication and training, but it also integrates well into sales, procurement, production, service, finance, and HR.
Chaty is designed for working with documents. What does this look like in practice?
The user asks questions in Slovenian, and Chaty responds based on internal documentation such as contracts, instructions, offers, or technical descriptions. The key benefit is that users can access verified information more quickly and use it in operational processes without having to search through folders, emails, and internal archives.
Security is usually the first question with solutions like this. How do you ensure that data remains in a protected environment?
Security was built into the solution from the ground up. Chaty can operate on the company’s own infrastructure (on-premise) or in a highly secure private cloud, without access to public AI services via the internet. Access is managed through roles and authorizations, so each user only sees the content they are authorized to access. The system also includes observability mechanisms (audit trail) and filters for inappropriate or malicious queries.
You mention answer evaluation and storing “good” solutions. How is knowledge managed so that incorrect information is not reinforced?
Users can rate, supplement, or correct an answer, allowing the system to become better aligned with the company’s language and practices. To prevent incorrect information from being embedded into the knowledge base, an approval process can be introduced in which an authorized person reviews suggestions before they are added. Since the knowledge base is dynamic, outdated documents can be removed or replaced, ensuring that Chaty works with up-to-date content.
You present Pro.Cloud AI as “secure AI as a service.” What does the customer actually get with this approach?
Pro.Cloud AI enables the use of AI as a service (AIaaS) in a private cloud or on the customer’s premises, with clear control over data and usage. Because the platform is hosted in Slovenia, it also provides customers with an element of digital sovereignty and compliance with the European regulatory framework. Compliance with standards such as ISO 42001 and ISO 27001 means structured risk management, documentation, and oversight of AI use. For companies, this is often also a more cost-effective entry point, since there is no immediate need to invest in their own hardware and GPU capacity.
How does your approach (private cloud/on-premise) compare with major public generative AI providers?
Major providers offer general-purpose tools, while Pro.Cloud AI addresses the need for local jurisdiction, data sovereignty, and customization. We also see an advantage in more transparent costs, without the typical “hidden” data transfer costs, and in direct access to local experts who understand the Slovenian environment and language specifics. This is important for organizations that place the greatest value on security, flexibility, and long-term independence.
The interview was published in the February edition of the magazine Podjetna Slovenija.
