How Pharos deploys AI workforces.
A structured deployment methodology — design, deploy, operate. Crews execute missions through Helm, governed by Aegis, integrated into your infrastructure by Forward-Deployed Agents.
The Architecture
The pieces that make a workforce
Four concepts you'll see throughout deployment. Every later phase reduces to these.
Helm
The operating environment for your AI workforce. Where you deploy crews, assign missions, and monitor live operations.
Aegis
The governance layer. Policy enforcement, audit trails, approval gates, and compliance evidence — applied to every mission.
Crews
Coordinated teams of agents with defined roles. Built for a specific operational domain and the missions inside it.
Missions
The unit of work. A defined objective with deliverables, timelines, and approval criteria. Crews execute missions, Aegis governs them.
Deployment Methodology
Three phases to operational AI
Forward-Deployed Agents own the deployment end-to-end. You participate; you don't carry it.
AI Workforce Design Session
Forward-Deployed Agents work with your operational stakeholders to define the missions worth automating, the crews that will execute them, and the governance posture they will operate under.
Activities
- •Operational workflow mapping
- •Crew architecture & agent role definition
- •Mission specification with success criteria
- •Governance policy & approval-gate definition
- •Integration surface identification
Deliverables
- ✓AI Workforce Architecture document
- ✓Crew & mission specifications
- ✓Aegis governance policy draft
- ✓Implementation timeline
Your involvement: Operational stakeholders join 2–4 half-day workshops. Security and compliance are in the room from day one.
Deployment by Forward-Deployed Agents
FDAs stand up the workforce inside your environment — configuring Helm, wiring Aegis policies, integrating systems, and validating mission execution end-to-end before live operations begin.
Activities
- •Helm environment configuration
- •Crew deployment & mission rehearsal
- •System integration (data, identity, comms)
- •Aegis policy enforcement & audit wiring
- •Operator training & runbook handoff
Deliverables
- ✓Operational Helm environment
- ✓Deployed and tested crews
- ✓Active system integrations
- ✓Aegis policies enforced and logged
- ✓Trained operations team
Your involvement: IT and security teams collaborate on integrations. Pilot operators validate mission execution before broader rollout.
AI Workforce Operations
Crews execute missions through Helm. Aegis enforces policy and produces the audit record. FDAs remain engaged for optimization, expansion, and onboarding additional crews as operations mature.
Activities
- •Crews execute live missions
- •Operators monitor through Helm
- •Aegis enforces policy and produces audit evidence
- •Performance optimization based on operational data
- •Crew expansion as new missions are approved
Deliverables
- ✓Live AI workforce in operation
- ✓Measurable mission outcomes
- ✓Audit-ready governance evidence
- ✓Expanding crew deployments
Your involvement: Your operations team runs the workforce through Helm. FDAs remain on call for optimization and new mission onboarding.
Governance, By Design
Aegis is wired in before the first mission runs
Governance is not a phase that follows deployment. It is enforced from the moment a crew is stood up.
Policies before agents
Action policies, threshold rules, and escalation triggers are written during Design — not retrofitted after the workforce is live.
Approval gates on missions
High-impact actions route through human approval. Aegis enforces gates automatically; operators see queue and turnaround through Helm.
Continuous audit evidence
Every mission, every action, every input — captured in an immutable audit record. Exportable for regulators, security, and internal review.
Compliance on day one
Aegis posture is mapped to your regulatory framework (SOC 2, HIPAA, SR 11-7, GDPR) before go-live. No retroactive controls.
Why this model works
Not a software handoff
You are not handed a platform and a login. Forward-Deployed Agents stand up the workforce with you and stay through go-live.
Not a pilot
Pilots optimize for stakeholder demos and stall at the production boundary. We deploy missions that operate.
Not a consulting deck
Consultants deliver findings. FDAs deliver a working AI workforce inside your infrastructure.
Not a black box
You see every mission, every approval, every action. Helm is the operator surface; Aegis is the audit surface.
Implementation with accountability. Crews that show up. Missions that close. Governance you can produce on demand.
Typical deployment schedule
| Week | Phase | Focus |
|---|---|---|
| 1–2 | Design | Workflow mapping, crew and mission specification, Aegis policy draft |
| 3–4 | Deploy | Helm configuration, crew deployment, integration build |
| 5–6 | Deploy | Mission rehearsal, Aegis enforcement validation, operator training |
| 7–8 | Operate | Pilot missions live, optimization based on operational data |
| 9+ | Operate | Expanded missions, additional crews, ongoing FDA support |
Timeline varies with integration complexity, regulatory posture, and organizational readiness.
Deploy an AI Workforce
Start with an AI Workforce Design Session. Forward-Deployed Agents will scope the crews, missions, and Aegis posture for your environment.