APIs & tools
Prefer explicit interfaces when they exist. Connect approved tools, MCP resources, knowledge and external APIs to the same agent authority model.
Agentic AI platform for governed execution
AI agents that act across your business—under explicit control.
Build custom agents in Agent Studio, coordinate durable work through the Orchestrator and operate it from Mission Control. Tools, browser sessions, voice and subagents can share the same authority and evidence model.
Agent StudioOrchestratorMission ControlALLOW · ASK · DENY
MISSION · CUSTOMER OPERATIONSconfigured example
ObjectiveResolve a disputed invoice without writing outside policy.
01Context assembledBilling policies · approved CRM context · account stateContext
02Action describedCRM update · external side effect · financial targetAction
03Policy evaluatedPrepared write requires human approval before executionASK
04Evidence retainedDecision state · approval binding · execution traceAudit
Objective→ Context→ Policy→ Action→ Evidence
One platform · three operating surfaces
Build the agent. Coordinate the work. Operate the outcome.
Createting separates configuration, coordination and operations instead of forcing every task into one chat or one workflow canvas. The surfaces share the same agent resources and control model.
CREATETING PLATFORMAGENT STUDIO · DRAFT
Configure before deployment
Identity, resources, autonomy and runtime belong to one agent definition.
The builder exposes the resources and boundaries the runtime will later enforce instead of hiding execution authority behind a single “autonomous” toggle.
IdentityCustomer Operations Agentconfigured
ResourcesCRM · Billing knowledge · Browserscoped
Autonomyguarded · approval on consequential writespolicy
Runtimebrowser enabled · parallel tools enabledcapability
Execution surfaces
Use the interface the workflow actually requires.
API access is preferable when a reliable integration exists. Browser and computer sessions cover GUI-bound work. Voice becomes useful when conversation is the operating interface. They should not require separate governance models.
APIs · tools · MCP
Structured actions against connected systems, with resources scoped to the agent and policy decisions attached to consequential operations.
Platform →Browser · computer
Operate web interfaces when the process cannot be completed cleanly through an API, while keeping session state, authority, review and verification attached.
Browser agents →Voice
Gather context and complete permitted workflow steps through conversation, with escalation and handoff remaining part of the same operational flow.
Voice agents →Choose the engagement that matches the problem
Platform, implementation and infrastructure are different decisions.
The platform should not pretend every company needs a custom model or consulting engagement. Start from the workflow and use the narrowest layer that solves the actual constraint.
PlatformBuild and operate governed agentsAgent Studio, Orchestrator, Mission Control, tools, knowledge, browser, voice and governance.Explore →ConsultingDesign the workflow and controlled pilotArchitecture review, integration planning, pilot boundaries and implementation support when the problem is not yet product-shaped.Review →InfrastructureMatch models and deployment to the workloadPrivate or hybrid inference, routing, fine-tuning and operational architecture where economics, data or deployment requirements justify it.Explore →
Start with one workflow
Find the smallest governed system worth proving.
Map repeatability, systems, agent decisions, risk and approval boundaries before deciding whether the right answer is deterministic automation, an agent, a durable mission or a hybrid.
