Zen AI LaunchPad — Governed AI Foundations for AWS

Your team wants AI. Without proper foundations, they'll find a way to use it anyway — outside your security boundary, outside your budget, and outside your control. AI LaunchPad closes that gap fast, giving your organisation a governed, private AI environment they'll actually use.

Delivered in two pathways — one for business productivity, one for developer-led AI — AI LaunchPad provides secure AWS-based foundations, best-practice controls, and guided onboarding that help you turn AI ambition into real value, fast.

Private, governed AI for business teams

AI LaunchPad for Quick gives your business a secure, private AWS environment for AI — set up correctly from day one, with guided onboarding that gets your team using it productively from the start.

A private, governed AI environment — A secure environment built inside your AWS account with identity, access, guardrails and cost controls configured to best-practice standards. Connected to your business data — Connections to your data sources — like SharePoint — so your AI works with real business context, not generic responses. Your first workflow, up and running — A guided onboarding session focused on building your first high-impact workflow, so your team sees real value from day one.

Access the world's best AI models — securely, cost-effectively and with confidence

Amazon Bedrock gives you access to Claude, GPT-5.5, Llama, DeepSeek and more through a single platform — your data stays within your AWS security boundary, costs are consolidated into one bill, and you can switch or combine models without re-engineering. AI LaunchPad for Bedrock gives your organisation this environment configured correctly from the start.

IAM policies, SSO integration, and security guardrails — configured in your AWS account so your data never leaves your security boundary. Your conversations with AI are never shared with model providers or used to make their products better.

Bedrock Guardrails — configured to block harmful content, detect hallucinations, and redact sensitive information.

Usage monitoring dashboards, spending alerts, and budget guardrails — so you get AI capabilities without budget surprises.

Model selection guidance and access configuration — with credential management across your chosen Bedrock models, plus AgentCore for building AI agents.

A guided onboarding session — with your development team and documented patterns for extending access.

AI LaunchPad removes the complexity and risk of AI adoption, giving your teams early wins and a governed foundation to scale as your ambitions grow.

Your data stays yours A fully private environment means no company data leaves your AWS account — eliminating the risks of public AI tools and meeting compliance requirements without slowing your team down.

Stay ahead of shadow AI Governed access before your team finds ungoverned workarounds — data, costs and compliance stay in your control. Staff are already using public tools with company data; AI LaunchPad closes that gap.

Predictable AI costs Spending guardrails and consolidated billing mean you invest in capability, not surprises — with clear visibility of what you're spending and why.

Real value, fast Ready-made foundations and guided onboarding mean your team builds its first working workflow quickly, with early wins that build momentum. Developers build from day one — not spending weeks on IAM policies and credential chains.

A foundation that grows with you Start with one team or use case. The environment is built to expand — adding models, users, and applications as your confidence grows. One platform. Multiple models. Full control.