Explore AI applications built on a governed agent foundation.
Gaia is the governed platform for building, operating, and scaling enterprise AI agents and AI applications. These blueprints show how customer support, research, document workflows, and team workspaces can all run on the same governed agent foundation.
Gaia is not just an agent builder. Each blueprint starts from the same governed work surfaces, so teams can adapt the application to their domain without rebuilding the stack for every new use case.
Governance workspace keeps policy, risk, and evidence review inside the operating model.
Conversation workspaces keep drafting, revision, and export tied to the task at hand.
Document folders create shared context and grounded retrieval across the team.
Workflow graphs make multi-step automation explicit as applications mature.
Evaluation workspace keeps quality evidence close to the release surface.
Delivery management keeps tasks, milestones, and release evidence aligned.
Six reference application types to start from
Each card opens a dedicated page with more detail on goals, functionality, industries, and benefits.
Gaia can power assistants that understand large product catalogs, configurable offerings, discounts, and policy-heavy service interactions.
Commerce, telecom, banking, and service journeys
Common fit
- Shorter time-to-answer for high-volume service queries.
- More consistent policy and offer explanations across channels.
Use Gaia to help users navigate technical documentation, public information sites, knowledge portals, blogs, and other large content collections.
Internal portals, public content, and large knowledge estates
Common fit
- Lower search effort across large and fragmented knowledge estates.
- Better answer quality for cross-document and cross-topic questions.
Gaia supports document-heavy operations where teams need shared evidence workspaces, editable artifacts, graph-based routing, and clear human control from intake to sign-off.
Case-centric document processing with human and agent collaboration
Common fit
- Reduced manual effort across high-volume document handling.
- Better consistency in rule application, drafting, and approvals.
Gaia can support deep research workflows similar to consumer AI research tools, but with enterprise control over sources, access, and reasoning process.
Research with controlled sources, access, and reasoning boundaries
Common fit
- Higher trust in outputs because the source universe is explicit and controlled.
- Less time spent manually reconciling information from private and public sources.
Gaia can power learning assistants that work across textbook content, curriculum goals, pedagogy instructions, and learner progress.
Education workflows that combine content, pedagogy, and learner context
Common fit
- More personalized learning support without losing curriculum alignment.
- Faster preparation of practice material and teaching aids.
Gaia can provide a general enterprise assistant where users organize documents into shared folders, collaborate with peers and agents, search grounded evidence, and create new outputs from the same context.
Document-centric team workspaces with shared conversations and outputs
Common fit
- A low-friction starting point for enterprise knowledge work.
- Shared context and collaboration instead of isolated personal assistants.