Nexus: orchestrate AI agents across tools, teams, and workflows
Design agent playbooks, connect tools, and deploy safely with approvals, monitoring, and cost controls.
Nexus is the orchestration layer for LLM and agent workflows. Coordinate reasoning, tool calls, and human-in-the-loop steps with guardrails and end-to-end analytics.

Teams scaling AI workflows with Dokaai
HOW IT WORKS
Build and deploy AI agents in weeks, not months
Model workflows, connect tools, and ship production-ready agents with guardrails and observability.
STEP 01
Design workflows
Map decisions, fallbacks, and handoffs with visual playbooks and policies.
STEP 02
Connect tools
Securely connect CRMs, data stores, and internal services with governed access.
STEP 03
Deploy and monitor
Ship agents with observability, QA checks, and cost controls from day one.
Design workflows
Map decisions, fallbacks, and handoffs with visual playbooks and policies.
Connect tools
Securely connect CRMs, data stores, and internal services with governed access.
Deploy and monitor
Ship agents with observability, QA checks, and cost controls from day one.
Production-ready orchestration with measurable outcomes.
Everything you need to run AI agents safely
Control quality, safety, and cost with built-in guardrails.
Purpose-built for enterprise-grade workflows and scale.
Workflow orchestration
Multi-step playbooks
Stateful context
Escalation paths
Tool routing
API connectors
Fallback actions
Policy controls
Safety and governance
Human approvals
Audit logs
PII handling
Observability
Monitor quality, latency, and cost with real-time dashboards.
Orchestrate every decision
From prompt to action, Nexus coordinates reliable outcomes with guardrails.
Define the agent brain
Create policies, guardrails, and decision trees for every workflow.
Connect to your stack
Use secure connectors for data, CRM, and internal tools.
Measure and improve
Track success rates, escalations, and cost per task in real time.
Built for every AI team
Product, engineering, and ops aligned
Nexus adapts to how your team builds and ships automation across the full lifecycle.
Product teams
Ship agent experiences without rewriting infrastructure
Own outcomes with approvals and quality controls
Engineering teams
Tool routing, versioning, and environment controls
Debug and monitor in production with traceability
Operations teams
Escalation playbooks and QA checks
Cost and compliance visibility
Popular AI agent use cases
Frequently asked questions
Orchestrate AI agents with confidence
Build safe, measurable automation with Nexus from pilot to production.