AI is already becoming part of daily work. Teams are using Artificial Intelligence to accelerate analysis, summarize documents, build chatbots, search internal knowledge, and support more complex workflows.
At enterprise scale, the challenge is no longer only about “having access to AI models”. The company also needs to understand which models are being used, for which use cases, through which routes, with what level of consumption and cost, and whether the data is processed according to its sensitivity level.
AI Playground acts as an operating layer to help AI adoption move faster while staying governed, observable, and sovereign-aware.
Through AI Playground, teams can start from a business need, find the right model, test AI outputs, build workflows, and reuse proven use cases across units.
AI Playground consists of several key capabilities:
ModelHub helps users discover, compare, test, and use AI models through a more managed access layer. It acts as the AI inference bridge so developers and product teams do not need to manage scattered model access independently.
AgentLab helps teams build AI agents and workflows through a low-code experience. Use cases such as knowledge assistants, document summarizers, FAQ assistants, ticket classification, or process assistants can be developed faster without always starting from complex technical implementation.
APIHub supports reuse and replication. Capabilities or APIs that have proven useful in one unit can be curated and reused by other units, so innovation does not stop as isolated experiments.
AI Playground also supports observability through AI Command Center. Leaders can see how AI is being used, which routes are selected, how adoption and consumption are growing, and which use cases have the potential to scale.
With this approach, AI Playground helps Telkom move from fragmented AI usage into a more governable, measurable, and scalable AI ecosystem.