Crew Execution Model

Enterprise-grade CrewAI teams operating inside LangGraph workflow nodes

AgentSub-AgentCrewWorkbenchValidatorHuman Approval

Agent Nexus workforce model

Agents are digital employees. Sub-agents are specialist employees. Crews are specialist teams. Workbenches are their tools, checklists, playbooks, and operating dashboards. Validators are independent reviewers. Humans remain final approvers for high-risk decisions.

Agent
Owns a business function
Sub-Agent
Handles a specialist track
Crew
Executes as a specialist team
Workbench
Provides tools and playbooks
Validator
Checks quality and risk
Approval
Keeps humans accountable

Agent → Sub-Agent → Crew → Workbench

A workbench is not an agent. It is the execution environment used by a sub-agent and its crew.

Workforce hierarchy
Coordinator
Selects workflow and routing
Primary Agent
Owns business outcome
Sub-Agent
Handles specialist track
Crew
Executes as expert team
Workbench
Tools, playbooks, checklists
Validators
Independent quality gates
Approval
Human accountability
LangGraph controlledCrewAI execution layerValidator governed

Crews are specialist teams invoked by sub-agents.

A primary agent delegates specialist work to a sub-agent. When the task needs deeper domain execution, that sub-agent invokes a crew. The crew uses its workbench, assigned tools, validators and handoff rules to return a controlled output.

6
Crews
4
Active
80%
Avg. Confidence
4
High Risk
18+
Validators
30+
Sub-agents

Crew portfolio

Enterprise view
Cisco Solutioning Crew
Manager: Cisco Pre-Sales Lead
ActiveHigh risk

Convert customer branch/network requirements into a Cisco-aligned architecture, with clear assumptions, risks, BoM boundaries and vendor validation points.

86%
Maturity
82%
Confidence
5
Sub-agents
Invoked by: Cisco Sub-Agent
Uses: Cisco Workbench
Returns output to: Primary Agent + Validators
Branch / LAN / WAN / WLAN refreshCisco SD-WAN or Meraki opportunityNetwork security modernization
Open crew control room →
Cloud Architecture Crew
Manager: Cloud Solution Architect
ActiveMedium risk

Design secure, reliable, cost-aware cloud architectures and validate whether they are operable after deployment.

84%
Maturity
86%
Confidence
5
Sub-agents
Invoked by: Cloud Sub-Agent
Uses: Cloud Workbench
Returns output to: Primary Agent + Validators
AWS/Azure/GCP hostingCloud migrationLanding zone
Open crew control room →
Software Solutioning Crew
Manager: Application Solution Architect
ActiveMedium risk

Convert business requirements into an application architecture with modules, integrations, NFRs, effort assumptions and delivery dependencies.

81%
Maturity
80%
Confidence
5
Sub-agents
Invoked by: Application Sub-Agent
Uses: Application / AI / Security Workbench
Returns output to: Primary Agent + Validators
Custom appWorkflow automationCRM/ERP integration
Open crew control room →
AI/Data Crew
Manager: AI/Data Solution Architect
ActiveHigh risk

Design grounded, governed and measurable AI solutions that connect to enterprise data safely.

78%
Maturity
77%
Confidence
5
Sub-agents
Invoked by: AI/Data Sub-Agent
Uses: Application / AI / Security Workbench
Returns output to: Primary Agent + Validators
RAG assistantAI searchAgentic workflow
Open crew control room →
Security Solutioning Crew
Manager: Cybersecurity Solution Architect
ReviewHigh risk

Recommend security controls and architecture aligned to customer maturity, compliance and operating model.

82%
Maturity
79%
Confidence
5
Sub-agents
Invoked by: Security Sub-Agent
Uses: Application / AI / Security Workbench
Returns output to: Primary Agent + Validators
Zero TrustSOC/SIEMIAM/PAM
Open crew control room →
IT-Security Review Crew
Manager: Enterprise Security Reviewer
WaitingHigh risk

Independently review proposed solutions for security, privacy, compliance and operational risk before approval.

80%
Maturity
74%
Confidence
5
Sub-agents
Invoked by: IT-Security Agent / Reviewer
Uses: Application / AI / Security Workbench
Returns output to: Primary Agent + Validators
PII or sensitive dataCustomer data accessProduction go-live
Open crew control room →

Execution pattern

1
LangGraph selects crew
Based on intent, risk, tools and workflow template
2
Crew manager plans
Breaks work into specialist sub-agent tasks
3
Sub-agents execute
Use assigned RAG, MCP, APIs and checklists
4
Validators inspect
Schema, risk, tools, confidence and approval checks
5
Handoff or approval
Returns output, rework request or human approval gate