Build complete AI applications on one Shared Application Model.
Design the experience your users work in, give every decision governed data and context, orchestrate AI, tools, policy, and people, then carry the process through durable business action and evidence.
App Builder
The surfaces people actually use.
AI Control Plane
The governed execution path.
AI Data Plane
The context and evidence that decisions rely on.
Build the application around the business outcome
A useful enterprise AI application rarely ends with an answer. It moves through information, decisions, people, events, external systems, and later proof.
Purpose-built experiences
Dashboards, portals, forms, cases, queues, contextual AI screens, approvals, and evidence views stay connected to the active process.
Governed context
Retrieve knowledge and operational information within the active authority, then assemble decision-ready context with provenance.
Coordinated execution
Combine deterministic logic, models, APIs, tools, policy, approvals, callbacks, retries, and reusable subflows.
Human judgment
Bring reviewers into the same application state with the record, evidence, policy conditions, and proposed action.
Durable workflows
Pause for people, documents, schedules, callbacks, and downstream systems while preserving state, authority, and versions.
Outcome evidence
Update external systems and preserve the evidence behind the resulting business effect.
One platform. Three connected responsibilities.
The modules are separate so each responsibility is clear, but they share application semantics so the work stays connected.
App Builder
Build the experience around the work: dashboards, portals, forms, cases, workbenches, contextual AI experiences, approval screens, and evidence views.
Gives your team complete operational software instead of generic chat or workflow consoles.
Explore App BuilderAI Control Plane
Define how the application behaves and what it is allowed to do across deterministic logic, models, APIs, tools, policy, approvals, events, retries, and external actions.
Keeps workflows governed when they cross AI, APIs, people, events, and time.
Explore AI Control PlaneAI Data Plane
Give every decision governed access to operational data, retrieved knowledge, context assembly, features, relationships, durable state, cache, memory, provenance, and evidence.
Provides relevant decision-ready information without flattening every data responsibility into a prompt or generic cache.
Explore AI Data PlaneSee one application move across the platform
Experience and context
A reviewer sees the supplier, requested account change, invoices, evidence, risk indicators, status, and pending actions while the Data Plane assembles eligible information.
Decision and policy
The Control Plane coordinates deterministic checks, AI analysis, policy, tool calls, human review, durable waits, and step-up authentication.
Action and evidence
The final writeback and resulting effect remain tied to the same context package, policy decisions, approval state, and action receipts.
One Shared Application Model keeps the application connected
The model connects the experience, data contracts, execution, identity, governance, context, durable state, and evidence without forcing every workload into one physical engine.
User experience
Pages, forms, dashboards, conversations, workbenches, queues, and evidence views.
Data contracts
Schemas, business objects, queries, mappings, APIs, calculated features, documents, and knowledge relationships.
Execution
Graphs, nodes, edges, subflows, conditions, events, models, tools, deterministic capabilities, and effects.
Authority
Users, workloads, tenants, roles, delegated authority, taxonomy, purpose, assurance, and scope.
Governance
Policies, obligations, approvals, enforcement points, and permitted capabilities.
Context
Operational facts, retrieved evidence, calculated features, prior state, memory, instructions, and history.
Durable state
Execution instances, waits, callbacks, attempts, approvals, operation identities, and recovery state.
Evidence
Versions, provenance, decisions, approvals, capability attempts, action receipts, effects, and causality.
Explore the architecture behind governed AI applications
Start with the platform overview, then go deeper into App Builder, AI Control Plane, AI Data Plane, identity, execution, and evidence as each page is authored.