Frequently Asked Questions
General
izz.ai helps companies identify, implement and scale profitable AI use cases. The focus is on practical AI solutions that can increase revenue, reduce costs and relieve teams from repetitive work.
izz.ai is a German company with its office just south of Munich in the Bavaria Film Studios.
AI can create value for companies of many sizes, from solopreneurs and start-ups to large corporations. izz.ai evaluates the specific processes, data and requirements of each organization to identify suitable opportunities.
AI is particularly worth evaluating when a process involves significant manual effort, repetitive tasks, large amounts of information or time-consuming knowledge work. izz.ai can help assess whether AI can automate or improve these processes.
izz.ai combines AI consulting, implementation experience and its own AI middleware, izz.ONE. The goal is not simply to introduce AI, but to develop secure, scalable and commercially sensible solutions that create concrete value for the company.
izz.ai has been developing AI solutions since 2017 and has delivered more than 2,500 AI use cases in over a thousand projects.
AI Implementation
Projects typically begin by identifying and evaluating potential use cases. This is followed by requirements analysis, roadmap development, implementation and training, upskilling and handover, and finally go-live and scaling.
izz.ai looks at your business processes, the amount of manual work involved, available data, existing infrastructure and potential business impact. The aim is to prioritize use cases where AI can provide meaningful and measurable value.
izz.ai relies on realistic roadmaps and implementations within weeks rather than years. The actual duration, however, depends on the complexity of the use case, the existing infrastructure, the data and the integrations required.
Focused use cases can go live in 1–2 weeks. For example, checking customer service replies before they are sent cut incorrect commitments from about 8% to under 2%. Larger projects that integrate with core systems usually take 3–6 months.
Yes. As part of the requirements analysis, the existing infrastructure and available data are assessed for their usability. This also includes checking which adjustments may be required.
izz.ONE — AI Middleware
izz.ONE is izz.ai’s AI middleware designed for the professional and profitable use of generative AI in companies. It provides a centralized hub for GenAI solutions with an emphasis on data protection, scalability and integration.
izz.ONE can provide the foundation for different AI and GenAI applications across an organization. It can connect applications with large language models, AI tools and dedicated AI infrastructure without requiring every application to be individually customized.
No. izz.ONE is designed without vendor lock-in on AI components. It can connect applications to hundreds of LLMs, proprietary MCP servers and AI tools, allowing individual components to be changed without rebuilding the application.
Yes. izz.ONE is designed so that individual AI components can be switched as requirements change, helping organizations adapt to new models and technologies without having to redesign their applications.
izz.ONE can reduce development time for AI-enabled applications by approximately 60–80%. Actual savings will depend on the project, architecture and implementation requirements.
izz.ONE's automatic LLM router sends each task to the most cost-efficient model that still meets your quality bar. That way, simple jobs like classification aren't run on expensive flagship models. With the right strategy, this can cut token costs by up to 75% at the same output quality.
Every request and response passes through the izz.ONE security layer before reaching a model. It inspects prompts and tool results, detects injection and jailbreak attempts, blocks attempts to override instructions, and uses signed system instructions so that untrusted content can't hijack your AI.
izz.ONE makes changes in answer quality visible before your users notice them. This works through prompt A/B testing, quality alerts and a central prompt library. If quality drops after a provider update, izz.ONE can switch to a better-performing model automatically.
Getting Started
The best way to start is with an AI use-case evaluation. izz.ai offers to help companies assess their processes and identify potential opportunities without obligation. Contact us now.
Useful information includes the business processes you want to improve, repetitive or time-consuming tasks, existing data sources, current IT infrastructure, security requirements and your desired business outcomes.
Yes. The implementation process is designed to start with identifying and evaluating potential use cases before moving into requirements analysis and implementation. This makes it possible to begin with a focused, high-value application rather than attempting an organization-wide AI transformation immediately.
The first step is to evaluate where AI could create value in your organization. From there, izz.ai can assess potential use cases, requirements and infrastructure and develop a roadmap toward implementation.