Archon Workforce

Autonomous AI workforce, fully managed.

Archon orchestrates six specialist agents against your source-of-truth knowledge base and skill-trained workflows. We deploy it into your environment, run the work, and give your team live command over every task, approval and deliverable.

The command center

One dashboard runs the entire workforce.

AI workforce management in one place: every task, approval, deliverable, and budget under live command.

6specialist agents
1source of truth
Anyenvironment
Archon Workforce command center showing active agents, task board, approvals, deliverables, usage, integrations, and live project agent chat

Managed execution

Your next hire never sleeps. Never quits.

Archon Workforce is for clients who care more about completed work than learning another AI platform. You bring the business function. We deploy the autonomous workforce, manage the operation, and report everything through the command center.

01

Delivery over dashboards

Clients are not expected to learn AI, write prompts, or manage agents. They ask for the outcome, and Archon runs the operation.

03

Total command visibility

Every task, approval, file, token budget, timeline, integration, deliverable, and agent conversation stays visible in the command center.

Managed operating model

You get the output.
We run the workforce.

Archon is built for clients who want the work done, not another AI platform to staff, tune, and manage internally. The workforce is scoped, trained on your source of truth, deployed into your environment, operated, measured, and improved by our team.

01

Scope the work

We define the business function, active projects, source systems, approval points, delivery cadence, integrations, and execution budget before launch.

02

Train the workforce

Archon loads the knowledge base, configures the six specialist agents, builds task skills, connects systems, designs dashboards, and tests against real data.

03

Run and optimize

The autonomous workforce runs under Archon management with client visibility, usage controls, QA, reporting, and continuous improvement.

01

Source-of-truth knowledge

Company files, SOPs, examples, policies, brand rules, and operational data become the context every agent works from.

02

Skill-trained workflows

Each recurring task gets trained as a repeatable operating skill with inputs, tools, approvals, and quality standards.

03

Six specialist agents

Archon routes tasks to Swift, Sage, Nexus, Vision, Lens, and Rocket, then consolidates the finished output.

04

Governed execution

Approvals, usage limits, audit trails, analytics, and project chat keep the workforce accountable as it runs.

Archon
Archon Workforce approvals and deliverables dashboard with approval gates, source files, audit trail, risk assessment, and Archon Agent chat

Human-in-the-loop governance

Control the actions that matter before they ship.

Managed autonomy is only valuable when the client can trust what moves. Approvals, risk flags, source files, comments, and audit trails make the workforce useful without letting it run wild.

Pending approvals with owner, risk, due date, and source filesBefore and after summaries for changes that need human reviewArchon Agent chat tied directly to the active project contextAudit trail for submitted, reviewed, commented, changed, and approved work

See it on your work

Watch the workforce run a real workflow.

Bring your hardest operational process. We will show the agents executing it, live, with approvals in your hands.

General pricing

Managed AI operations, scoped so it can scale.

Every plan includes the managed service and client dashboard. Pricing scales by agents, workflows, integrations, projects, support cadence, and AI execution capacity.

Full pricing details →
Focused managed deployment

Single Agent Operation

$2,500/mo

For one narrow workflow, account, project, or system.

  • 1 managed agent operation
  • 1 active project, account, or company file
  • 1 clearly defined workflow
  • 1 primary integration
  • Client dashboard access
  • Approval queue, deliverables, timeline, and token usage visibility
  • Live project agent chat
  • Monthly reporting and optimization
Book a Demo →
Custom scoped operation

Enterprise AI Operations

Custom

For multi-team, multi-system, or governed enterprise deployments.

  • Custom functions, projects, workflows, and integrations
  • Advanced approval and governance requirements
  • Private infrastructure and model routing options
  • Custom reporting cadence and executive reviews
  • Security, compliance, and data residency planning
  • Dedicated onboarding and operating cadence
  • Custom SLA and execution capacity
  • Annual or custom commercial terms
Book a Demo →

Scope control

Setup, additional workflows, extra integrations, heavy document processing, media generation, emergency turnarounds, and added AI execution capacity are scoped before billing.

No surprise token invoices.
Billing and contractsAll plans are billed monthly, with additional discounts available on annual contracts. Your token counts reset automatically on each billing date, so every cycle starts fresh.
Annual discounts available

FAQ

Common questions.

Is Archon a multi-agent AI platform?+
Yes. Archon Workforce is a multi-agent AI platform run as a managed service: six specialist agents coordinated by an orchestrator, working against your source-of-truth knowledge base. You get the leverage of an intelligent agent platform without hiring a team to operate it.
Do we need engineers to use it? Is it no-code?+
No engineers required. Archon is no-code AI automation from your side: we configure the AI task automation platform, integrations, and approval workflows, and your team operates everything from a dashboard. If you have technical staff, they can go deeper, but nothing requires code.
Can agencies white-label or resell Archon?+
Yes. Agencies use Archon as a white label AI platform: run AI workforce automation for your clients under your brand, with per-client workspaces, approval queues, and usage budgets. Talk to us about agency platform terms on a consultation call.
Is Archon Workforce software or a managed service?+
It is a managed autonomous AI operations service with client dashboard access. Archon configures, trains, runs, monitors, and optimizes the workforce while your team sees every task, approval, timeline, deliverable, usage metric, and project conversation.
How do you prevent usage from running away?+
Every plan includes an AI execution budget sized to the scope. Usage is visible in the dashboard, and added capacity is approved before billing. Extra projects, workflows, integrations, heavy document processing, or media generation are scoped separately.
Can you work inside our existing tools?+
Yes. Archon is model agnostic and stack flexible. We can work across SaaS tools, Microsoft environments, project management systems, finance tools, CRMs, ad platforms, cloud environments, and internal systems where access is approved.
What does the knowledge base do?+
The knowledge base is the source of truth for the workforce. It holds approved documents, SOPs, brand standards, policies, examples, project files, and operating context so the agents can answer and execute from the client reality, not a generic prompt.
How do the six specialist agents work together?+
Archon is the orchestrator. It breaks down the objective, routes tasks to Swift, Sage, Nexus, Vision, Lens, and Rocket, coordinates handoffs, and consolidates the output into a governed deliverable.
What counts as a project or workflow?+
A project is an active business lane such as one website, one ad account, one company file, one inventory location, or one CRM pipeline. A workflow is a repeatable process inside that project, such as content briefing, reconciliation review, lead enrichment, reporting, or approval routing.
Can clients ask the agent anything?+
The live project agent is scoped to the work Archon is managing. It can answer questions about project status, deliverables, files, analytics, blockers, approvals, and next steps. Open-ended work outside scope is handled as an expansion.
What is a managed AI workforce?+
A managed AI workforce is a team of coordinated AI agents that we deploy, train, run, and monitor inside your business as a service. Unlike an AI workforce platform you have to staff and operate yourself, Archon runs the operation and reports every task, approval, and deliverable through your dashboard.
How does Archon handle AI workflow automation?+
Archon turns repeatable processes into governed AI workflow automation: each recurring task becomes a trained, reusable workflow with inputs, tools, approvals, and quality standards. It works as an AI operations platform run as a managed service, so automations are built, executed, and improved for you.
How is agentic automation different from traditional automation?+
Traditional automation follows fixed rules and breaks on exceptions. Agentic automation uses enterprise AI agents that reason over context, use tools, and handle variation, with human approval on consequential actions, so it covers operational work that rule-based automation cannot.
Can we deploy enterprise AI agents without building an in-house team?+
Yes. That is the point of managed AI agents: you bring the business function, and we deploy and operate the agents inside your environment. No engineers or prompt specialists are required on your side.
How quickly can a managed AI workforce go live?+
Most AI workforce deployments reach a first governed workflow in days, not quarters. Because Archon is a managed service, we handle setup, agent training, integrations, and approval design, so an AI-powered workforce is producing reviewed output while a traditional build would still be in planning.
How do you keep an AI workforce secure and compliant?+
Security travels with every workflow: scoped access, approval gates on consequential actions, audit trails, and human oversight. The artificial intelligence running each task only touches the systems and data you approve, and machine learning models are routed under policy so the workforce stays accountable as it scales.
How do you measure the ROI of an AI workforce?+
The dashboard turns activity into workforce analytics: tasks completed, approvals, cycle time, and execution cost per workflow. Those workforce data points become actionable insights, so you make data-driven decisions about where to expand the AI workforce and where leveraging AI is already paying off.

Book a demo

See Archon run on your workflows.

A few quick steps. Tell us about your team and what you want to automate, and we will tailor a live walkthrough.