AI workspacesthat teams can trust
Autodeck gives teams integrated Decks for analysis, documentation, grading, and specialist workflows, with the right interface, AI support, and actions already connected.
Workspace
Starts personal, grows into a team without changing the model.
Deck
One integrated surface for a specific job.
Agent role
Assistant, specialist, or worker as the work requires.
Platform principles
Four things the platform already takes seriously
Every user starts in a dedicated workspace. Teams can grow from there without losing history, settings, or agent context.
Assistants, specialists, and workers operate with explicit identity, tenant scope, and auditable tool access.
Autodeck keeps multiple app packages on the same foundation, so apps can share the runtime without collapsing into a monolith.
The platform is designed for controlled hosting, reproducible environments, and a clear path from local stack to preview and production.
Current Decks
One platform, several distinct integrated surfaces
Cloud Analyzer Deck
Workspace: ACME Europe
Provider selection stays governed instead of being left to guesswork.
Specialists and workers run with explicit scope and auditable actions.
The workflow stays shaped around the job instead of a generic chat window.
History, settings, and access stay consistent as teams expand.
Autodeck is not a prompt toy. It is built for teams that need roles, history, approvals, and repeatable behaviour around AI-assisted work.
New Decks can live inside the same shell, reuse governed runtime patterns, and keep domain logic in clear boundaries.
Tenant isolation, governed mutations, and self-hosted infrastructure choices are part of the product model, not an afterthought.
Inspect Entra ID groups, conditional access, and role intelligence in a tenant-aware workspace surface.
Draft and maintain architecture documents with shared context, status workflows, and AI-assisted editing.
Run assessment and grading workflows with an app-specific assistant instead of bolting AI onto forms afterwards.
A specialist-style surface that exercises the same runtime model in a very different interface, useful as both product and proving ground.
Why Decks matter
Built for real work, not just prompts
Each Deck is shaped around a specific job, with the right interface, AI support, and actions already connected. That makes it faster to use and easier to trust.
Start in your own workspace
A new user lands in a personal workspace instead of a shared sandbox.
Open the app that fits the job
Each app package keeps its own UI, tools, and specialist behaviour while still using the same platform foundations.
Work with the right kind of agent
Assistants advise, specialists drive focused flows, and workers handle background execution.
Keep the operating model intact
Tenant boundaries, approvals, and audit trails remain in place as teams, data, and app surfaces expand.