AI Innovation
Accelerate AI experimentation with governed AWS environments for teams and agents, combining access to services such as Bedrock and SageMaker with budgets, guardrails and automated lifecycle controls.
Why it matters
The challenge
- Teams wait for suitable AWS environments
- AI experimentation can create unpredictable spend
- AI experimentation and agents can operate outside standard governance and lifecycle controls
With Sandbox Studio
- Governed environments available in minutes
- Cost and service controls applied automatically
- Safe environments for people and AI agents, with automated lifecycle management
How it helps
- 01Isolated AWS environments for teams, projects and AI agents
- 02Bedrock, SageMaker and service access defined through reusable account templates
- 03Budgets, permissions and lifecycle controls applied automatically
- 04MCP and launch templates for AI-assisted environment creation and interaction with Sandbox Studio
Recommended templates
Key capabilities
Account templates
Reusable, pre-configured environments for every audience.
Guardrails and policies
Permissions, SCPs and boundaries applied automatically.
Cost controls and budgets
Budgets with alerts and automatic lock or wipe actions.
Identity and SSO
Your choice of identity providers, so people sign in the way they already do.
Lifecycle automation
Provision, operate and clean up accounts automatically.
Reporting and insights
Usage, spend and lifecycle visibility in one place.
From three weeks to under 12 hours.
PiP used Sandbox Studio to launch a governed AI innovation programme, producing four prototypes and progressing two towards production.
Read the story →4
AI prototypes built
2
progressing towards production
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