AI is becoming a fundamental part of businesses' technology platforms. At Intility, artificial intelligence is delivered as an integrated part of the digital foundation, closely linked to identity, security, network, data, and workflows. This enables the adoption of AI faster, safer, and with lower complexity than through separate AI platforms and standalone projects.
Where many AI initiatives start as separate projects on the side of the business, with Intility you get an AI platform that is already connected to data, identity, network, systems, and users. This means you avoid the heavy and costly efforts that otherwise arise when proof-of-concepts need to be turned into real operational solutions.
All AI processing occurs within the same security model that protects the rest of the IT environment. This provides full control over where your data is, and avoids the vulnerabilities of having to build additional security layers afterwards. The platform is also continuously monitored by Intility’s 24/7 Security Operations Center.
GPU infrastructure and model hosting require large investments. At Intility, resources are shared industrially across many companies, but with customer-specific isolation of data and use cases.
AI only delivers value when it is connected to the company’s own work processes and data sources. With MCP (Model Context Protocol), AI agents can be connected to applications and systems in a standardized and secure way – always within the platform’s security model.
AI agents operate with the user’s own privileges, enforced through Intility’s identity and access model. MCP functions as a proxy, ensuring that this access management is carried forward into AI integrations.
New AI features and integrations are developed once and then rolled out to the entire platform. This means all customers continuously gain access to improvements and new functionality – without having to start new projects or build individual integrations for each company.
Intility Inference is the foundation for AI services in the digital foundation. The service provides access to modern language models through private endpoints, delivered as a scalable and operated platform service. Businesses can use language models in their own applications, workflows and AI agents, without establishing their own GPU infrastructure or specialized operational environments.
Many businesses focus on which model is currently the best. We believe the greatest value lies in how intelligence is integrated with the rest of the business.
The model market is evolving rapidly. Through Intility Inference, businesses can adopt new models without having to redesign architecture, integrations or security mechanisms.
Resources are shared industrially across multiple businesses, with customer-specific isolation of data and use cases. No investment in dedicated GPU infrastructure is required.
Intility GPT provides employees access to the organization's collective knowledge and AI capabilities through a secure and user-friendly interface. Users can search, analyze, summarize, generate, and interact with the organization's data through natural language.
Intility GPT is more than just a chat solution. Through integrations with the organization's systems, users can retrieve information, analyze data and perform actions directly from the same interface.
Intility GPT can connect to documentation, knowledge bases, business systems and operational data sources making sure responses and analyses are based on the organization's own reality.
Intility GPT is an operational tool that connects people, knowledge, and workflows – not just a search tool.
Model Context Protocol (MCP) enables AI applications and AI agents to interact with the business's existing systems in a standardized way. Through MCP, intelligence can retrieve information, understand context, and perform actions across the system landscape.
When AI is connected to the business's systems, the user's identity and access rights are carried forward. AI only has access to information and functionality that the user themselves has access to.
MCP enables the creation of AI agents that can work across systems and automate complex processes. Just as APIs became the foundation for modern applications, MCP is becoming the foundation for modern AI.
MCP acts as a proxy that ensures access control is carried into AI integrations, combining automation and control within the same security model.
As AI becomes part of mission-critical processes, the need for governance, security, and control increases. AI should be operated through the same model as the rest of the organization's digital foundation.
User identities, agent identities, and access management.
Monitoring, logging, threat detection, and response.
Data classification, model management, and compliance.
Insights into usage, costs, performance, and model quality.
Management of inference, GPT, MCP, agents, and integrations.
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