Every company talks about artificial intelligence. Few know where to begin.
For most organizations, AI still feels like a distant concept — promising, but difficult to implement. Teams see the potential but face uncertainty:
- What if experiments expose sensitive data?
- What if the tools don’t comply with security policies?
- What if costs spiral out of control?
The Challenge: AI Feels Distant
In many organizations, AI adoption starts — and ends — with curiosity.
Employees test public tools, share screenshots, and quickly hit a wall of security restrictions. IT blocks access to open models. Legal raises data concerns. Managers fear loss of control.
This fragmented approach prevents teams from building knowledge and confidence in how AI could support daily operations. At the same time, business leaders want to explore potential use cases, but need a structured, compliant way to do so.
AI Playground solves this divide: it gives employees access to AI in a secure, internal environment — one that satisfies IT governance while allowing real experimentation.
Introducing Shiftum AI Playground
AI Playground is a dedicated, private platform for experimenting with AI models within your organization. It provides a safe and controlled environment where teams can learn, test, and prototype ideas — without the risks of using public systems.
It helps marketers explore creative prompts, IT teams test integrations, and analysts discover how AI can support data workflows — all in one shared, governed space.
The goal is not to build production solutions immediately, but to create the foundation: a sandbox where AI becomes tangible, useful, and understandable.
Core Features
AI Playground combines flexibility for teams with control for IT and management. Each component supports safe, meaningful experimentation with real AI capabilities.
Access to Multiple AI Models
Test and compare models from different providers — all within one unified workspace. See how they perform across tasks, languages, and data types.
The ability to prompt two LLM models simultaneously
Work with two LLMs at the same time in a single thread. This way, you can easily leverage the strengths of different models within one task.
Secure, Private Environment
Each Playground instance is fully isolated and dedicated to a single company. No external users, no shared data, no public connections.
Token-Based Billing
Costs are tied to actual usage. Every token is tracked, allowing precise reporting and predictable budgeting. You can bill all the models you use this way, which delivers significant savings compared to buying separate access from each provider.
Pre-Built Prompts
Ready-made templates for common scenarios — marketing copy, customer service responses, or data analysis — make it easy for employees to start experimenting immediately.
Custom Workspaces
Departments can create their own spaces — for example, Marketing Playground, IT Sandbox, or Data Lab — each with its own history, context, and access permissions.
User-Friendly Interface
Clean, minimal design makes it accessible for non-technical users while preserving detailed control for power users.
Dedicated Corporate Playground
Tailored configuration and customization ensure that the environment aligns with company policies, security standards, and internal workflows.
How It Works
The system was designed to make AI exploration simple and secure.
- Single Sign-On (SSO) authentication ensures that only authorized employees can access the company’s Playground.
- Users can interact with multiple AI models — such as OpenAI, Anthropic, or Mistral — within one consistent interface.
- The environment offers ready-to-use prompts and templates for typical business scenarios, helping teams start faster.
- Usage is billed by tokens, allowing full transparency and cost control.
- All activity runs within the company’s secure cloud — with no risk of data exposure to external providers.
It’s a structure that balances freedom to explore with enterprise-level control.
Why It Matters
Most AI transformations fail not because of technology — but because of adoption. Employees need a space to learn, test, and build confidence before automation begins.
AI Playground accelerates this process. It helps teams develop AI literacy and identify processes that can later be automated or improved. Quick experiments in Playground often evolve into proofs of concept, and then into real implementations.
In practice, it becomes an AI incubation environment — where ideas, use cases, and workflows are safely tested before becoming enterprise systems.
Security & Governance
Data security and governance are at the core of AI Playground’s design. Each instance is isolated — accessible only to users within your organization.
Authentication is managed through SSO, and administrators can assign roles and permissions for each team. No user data or prompt history leaves your environment. The system does not store or reuse any content to train external models.
It fully complies with IT security and data protection standards, giving both business and technical leaders confidence in safe AI adoption.
Business Impact
AI Playground delivers measurable value even before full-scale AI deployment begins.
Employees learn faster how to use AI tools effectively, which increases team productivity and innovation.
IT retains full control over access and compliance.
In short, AI Playground lowers the barriers to AI adoption — safely, cost-effectively, and at your organization’s own pace.
Join the AI Playground
Set up your own private AI Playground for your organization.
Test the tools your teams want to use — in a safe, compliant environment.
Discover what AI can do for your company before you invest in complex integrations or large-scale deployment.
Your AI transformation starts here — simple, structured, and secure.
Every AI journey starts with a single experiment. Make yours safe, smart, and scalable — with AI Playground.