Deploy an AI Workforce

From design to operations in weeks, not months. A structured deployment model that delivers working AI workforces—not pilots that stall.

The Deployment Model

Three Phases to Operational AI

1
1-2 weeks

AI Workforce Design Session

Pharos Forward-Deployed Agents work with your team to assess current workflows and design your AI workforce architecture.

Activities

  • Operational workflow mapping
  • Agent and crew architecture design
  • Integration requirements identification
  • Governance policy definition
  • Success metrics establishment

Deliverables

  • AI Workforce Blueprint document
  • Crew configuration specifications
  • Integration architecture diagram
  • Implementation timeline

Your involvement: Key operational stakeholders participate in design sessions. Typically 2-4 half-day workshops.

2
2-4 weeks

Deployment by Forward-Deployed Agents

FDAs implement your AI workforce—configuring Helm, establishing Aegis governance, and integrating with your systems.

Activities

  • Helm environment configuration
  • Crew deployment and testing
  • System integration implementation
  • Aegis policy configuration
  • User training and enablement

Deliverables

  • Operational Helm environment
  • Deployed and tested crews
  • Active system integrations
  • Configured governance policies
  • Trained operational team

Your involvement: IT and operational teams collaborate on integrations. Pilot users validate configuration.

3
Ongoing

AI Workforce Operations

Your AI workforce operates through Helm, governed by Aegis. FDAs provide ongoing support as operations mature.

Activities

  • Crews execute missions
  • Operations team monitors through Helm
  • Aegis enforces governance policies
  • Performance optimization based on data
  • Crew expansion as operations prove out

Deliverables

  • Operational AI workforce
  • Measurable business outcomes
  • Expanding crew deployments
  • Maturing operational practices

Your involvement: Operations team manages through Helm. FDAs available for optimization and expansion.

Why This Model Works

Not a software sale

We don't hand you software and wish you luck. FDAs deploy your system.

Not a pilot program

Pilots stall. Deployments produce operations. We deploy.

Not a consulting engagement

Consultants deliver reports. FDAs deliver working systems.

Not a black box

You see how everything works. You control operations through Helm.

This is implementation with accountability. The deployment model ensures AI workforces that actually operate.

Typical Deployment Schedule

WeekPhaseFocus
1-2DesignWorkflow assessment, architecture design
3-4DeploymentHelm configuration, crew deployment
5-6DeploymentIntegration implementation, testing
7-8OperationsPilot operations, optimization
9+OperationsExpanded operations, crew scaling

Timeline varies based on integration complexity and organizational readiness.

Deploy an AI Workforce

Start with an AI Workforce Design Session.