Pharos · Engagement Phases

From assessment to operation.

A structured path from initial discovery to a live AI workforce Forward-Deployed Agents own delivery, Aegis governance is wired in from day one.

Why most enterprise AI evaluations stall

Evaluations stall because they don’t address the realities of enterprise deployment: data sovereignty, governance, and integration complexity. Pharos engagements are structured to close those gaps before they kill momentum.

We deploy workforces, not demos

Pharos engagements are not hackathons or innovation workshops. We are accountable for delivering a working, governed AI workforce running through Helm — and the documented evidence that proves it.

The common pattern

  • • Evaluations expand without a forcing function (scope creep)
  • • Shared accountability makes outcomes optional
  • • Security and governance reviews happen too late
  • • Demos work on sample data, not production systems
  • • Engagements end with “findings,” not a deployment path

The Pharos approach

  • • Fixed-fee, time-boxed phases with named deliverables
  • • Custom crew architecture designed for your operations
  • Aegis governance: full audit trails and approval gates from day one
  • Helm as the operator surface — built into the deployment
  • • Documented ROI model and an explicit path to live missions

Discovery → Design → Deployment → Operate

From assessment to a live AI workforce, with Helm and Aegis configured before the first mission runs.

PHASE 1

Discovery ($25K–$50K)

  • Operational workflow analysis
  • Mission opportunity mapping
  • Recommended crew architecture
  • ROI projections from baseline data
  • Integration & governance requirements

PHASE 2

Design Session ($75K–$150K)

  • Crew architecture & agent roles
  • Mission specifications
  • Aegis governance policy & approval gates
  • Integration architecture
  • Implementation roadmap

PHASE 3

Deployment ($150K–$500K)

  • Crew deployment (typically 3–15 agents)
  • System integrations
  • Helm environment for operators
  • Aegis policies enforced & logged
  • Operator training & runbook handoff

PHASE 4

Operate ($50K–$150K/mo)

  • 24/7 operational support
  • Mission performance monitoring
  • New crew & mission deployments
  • Integration updates
  • Quarterly operational reviews

Engagement Phases

Choose your starting point based on where you are in your AI workforce journey.

Start Here

Discovery

Operational assessment

$25K–$50K
1–2 weeks, fixed-fee
  • Operational workflow analysis
  • Mission opportunity mapping
  • Recommended crew architecture
  • ROI projections grounded in baseline data
  • Integration and governance requirements
Design

AI Workforce Design Session

Crew, mission, and Aegis policy specification — ready to build against.

$75K–$150K
1–2 weeks, fixed-fee
  • Crew architecture and agent role definitions
  • Mission specifications with success criteria
  • Aegis governance policy and approval gates
  • Integration architecture for your systems
  • Implementation roadmap and deployment plan
Deploy

Deployment

Forward-Deployed Agents stand up the workforce inside your environment.

$150K–$500K
4–12 weeks, fixed-fee
  • Crew deployment (typically 3–15 agents)
  • System integrations (data, identity, comms, line-of-business)
  • Helm environment configured for your operators
  • Aegis policies enforced and audit wiring live
  • Operator training and runbook handoff

Operate

Continuous operation, optimization, and expansion — not abandonment.

Most consulting engagements end with a report. Pharos engagements end with a live AI workforce — and stay engaged through ongoing operations, additional crew rollouts, and continuous performance work.

$50K–$150K/month
Ongoing operations partnership
  • 24/7 operational support
  • Mission performance monitoring and tuning
  • New crew and mission deployments
  • Integration updates as your stack evolves
  • Quarterly operational reviews

What this looks like in practice

A dedicated FDA team focused on keeping your AI workforce performant. Unlike consultants who leave at handoff, Forward-Deployed Agents stay as operational partners.

Crews accumulate institutional context over time. Missions improve. Aegis policy posture stays current with regulatory change.

Governance from day one

Aegis posture is defined during Design and enforced from the moment a crew is deployed. Security review is not deferred.

Data sovereignty

Your data does not leave your boundary. Crews execute inside your infrastructure — on-premise, in your private cloud, or in an air-gapped network where required.

Deterministic audit

Every action a crew takes is logged with full context, timestamp, and attribution by Aegis. Audit evidence is exportable and review-ready.

Human oversight

Approval gates for high-impact actions are wired in by Aegis. Operators retain control over critical decisions while crews handle routine execution.

No vendor lock-in

Model-agnostic architecture. Aegis is vendor-neutral. You own the deployment and can swap underlying providers without re-architecting the workforce.

Deploy

Ready to deploy an AI workforce?

Start with Discovery — Forward-Deployed Agents will assess your operations and identify the highest-leverage missions to deploy first.