Sii Poland
SII UKRAINE
SII SWEDEN
Sii Poland
SII UKRAINE
SII SWEDEN
As a certified Google Cloud Partner, we implement Gemini Enterprise, AI Landing Zone, RAG systems, conversational AI, and Computer Vision solutions on Google Cloud.
Sii prepares a Gemini Landing Zone: a secure and scalable Google Cloud environment for artificial intelligence solutions. Our certified specialists design flexible, cloud-native architectures optimized for cost efficiency.
A properly configured AI Landing Zone creates a secure environment for implementing advanced language models. It also helps reduce security gaps and gives your organization a stable foundation for further AI solution development.
Sii experts implement commercial generative AI environments across your organization. In addition to native use within Google Workspace, we integrate Gemini Enterprise with Microsoft environments such as Outlook, SharePoint, and Teams, as well as other third-party tools.
This allows Gemini to better understand users’ work context and support them in everyday tasks within one consistent AI ecosystem. Our approach ensures interoperability across tools and makes it easier to adopt artificial intelligence at the enterprise level without pulling teams away from the systems they already use.
Sii transforms customer service processes with advanced, omnichannel AI agents. We use modern protocols adopted by Google, such as MCP and A2A, to build systems capable of holding natural conversations with users and delivering instant, personalized communication, also drawing on our experience in automating marketing and business inquiries.
These solutions reduce the workload of consultants and help handle repetitive or contextual requests faster. Multi-agent systems search for relevant information, support users in real time, and, when human intervention is needed, hand the conversation over to a consultant with a complete summary of the interaction so far.
We deliver Computer Vision solutions that enable highly accurate image analysis. The evolution of image analysis algorithms makes it possible to detect very small elements in large images, and Sii uses them in integrated applications that support daily operations and improve quality and efficiency in manufacturing, security, and logistics.
We combine computer vision algorithms with Google Manufacturing Data Engine (MDE) to implement automated quality control on production lines. This solution helps detect defects immediately, reduce downtime, and maximize OEE, or Overall Equipment Effectiveness.
Sii implements Retrieval-Augmented Generation systems that help unlock the knowledge hidden in your company’s internal, unstructured data. We build dedicated, secure enterprise search engines that allow employees to interact with organizational documents using natural language.
RAG solutions supported by Google’s Gemini make it easier to find information across procedures, documentation, and enterprise resources, even when details are distributed across multiple locations. Grounding, or referencing source documents, ensures that answers are verifiable, while integrating RAG solutions with other enterprise tools supports the continued development of AI-driven processes.
Sii has been a Google Cloud Partner since 2021 and supports organizations in using AI solutions available within the Google ecosystem. Our certified specialists design Google Cloud environments for artificial intelligence implementations, Gemini Enterprise, RAG systems, conversational AI, and Computer Vision. This enables clients to develop AI solutions on a secure, scalable platform tailored to their organization’s needs.
We manage Google Cloud AI projects from preparing the infrastructure foundations to integrating ready-to-use solutions with workplace tools. We help plan the AI Landing Zone architecture, implement Gemini Enterprise, build RAG-based enterprise search engines, and connect AI agents with user service processes. Clients gain one team responsible for analysis, implementation, integration, optimization, and AI environment security.
Sii builds Google Cloud AI solutions tailored to the client’s technology environment, not detached from existing systems. We integrate Gemini Enterprise, RAG systems, and AI agents with Google Workspace, Microsoft tools, document repositories, knowledge bases, and other business applications, including through dedicated connectors.
As a result, users can work with data from various sources in one controlled AI environment. The organization gains better access to knowledge, greater information consistency, and the ability to develop AI solutions around real processes, not around yet another standalone tool.
Read out FAQ
Google Cloud AI services include the design, implementation, and integration of artificial intelligence solutions on Google Cloud. Sii helps organizations use AI in Google Cloud for process automation, customer service, data analysis, quality control, and working with enterprise knowledge. As part of our offering, we implement Gemini Enterprise, AI Landing Zone, RAG systems, conversational AI, and Computer Vision solutions.
Sii supports AI implementations in Google Cloud from preparing secure Google Cloud infrastructure, through implementing AI tools, to integrating them with the systems used across the organization. Our specialists design cloud-native environments, help implement generative AI solutions, and ensure that Google Cloud supports real business processes.
An AI Landing Zone is a securely configured, scalable cloud environment prepared for artificial intelligence implementations in Google Cloud. Sii designs this Google Cloud infrastructure so organizations can implement language models, AI agents, and other AI solutions in a controlled way. A well-prepared AI Landing Zone reduces security risks and creates a stable foundation for further automation.
Gemini Enterprise is a generative AI tool that can support employees in everyday tasks, information analysis, and working with documents. Sii implements Gemini Enterprise in Google Workspace and integrates it with Microsoft environments such as Outlook, SharePoint, and Teams. As a result, Gemini better understands users’ work context and operates as part of a single, integrated enterprise AI ecosystem.
Conversational AI and AI agents help automate the handling of repetitive and contextual user inquiries. Sii builds omnichannel systems capable of conducting natural conversations, retrieving relevant context in real time, and escalating cases to a consultant when the situation requires it. Such an AI agent can reduce the workload of contact center teams and accelerate customer service.
Computer Vision enables highly accurate image analysis and the detection of small elements in large images. Sii implements Vision AI solutions in manufacturing, security, and logistics, combining computer vision algorithms with Google Manufacturing Data Engine. In a production environment, such a solution supports automated quality control, defect detection, reduced downtime, and improved OEE.
Retrieval-Augmented Generation, or RAG, combines generative AI with information retrieval from source documents. Sii implements RAG systems that allow employees to “talk” to organizational documents in natural language. As a result, teams can find information faster across procedures, documentation, and other enterprise resources, even when the data is unstructured or distributed across multiple locations.
Grounding makes it possible to link AI-generated answers to specific source documents. In RAG systems implemented by Sii, this increases the verifiability of answers and helps users check where a given piece of information comes from. This is especially important when working with procedures, documentation, knowledge bases, and other resources that support business processes.
Yes. Sii integrates AI solutions in Google Cloud with workplace tools and external systems used across the organization. This includes Google Workspace, Outlook, SharePoint, Teams, and other enterprise tools. As a result, AI in Google Cloud can function as an integrated part of the work environment, rather than as a separate platform disconnected from daily processes.
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