OpenChief installs and operates a governed AI agent fleet across your departments. Monitored, self-healing, compliance-reviewed. The output of a team — without the headcount, and without the risk of AI acting unwatched.
For corporations, agencies, and funded startups • 30–500 employees • $3M–$75M revenue
Who This Is For
Built for operations leaders, not solo founders
Enterprise Fleet is the offer for COOs, Heads of Operations, and RevOps leaders at companies with multiple departments that need to run simultaneously — not personal AI leverage for one person.
Your profile
Company size
30–500 employees, $3M–$75M revenue. Multiple departments running in parallel — content, CRM, analysis, ops — each competing for attention.
Buyer profile
COO, Head of Operations, VP RevOps, or a founder still wearing the ops hat. CFO or founder signs the Enterprise setup — this is a line-item decision, not a tool purchase.
Sweet spots
Digital agencies drowning in client deliverables. Funded startups (Seed–Series B) needing output without headcount. Fintech ops, real-estate finance, e-commerce, professional services.
Trigger event
A key operator resigns. A new launch triples ops load. The board mandates an AI plan this quarter. Or the team is maxed and revenue is capped by throughput.
Not for you if…
You're a solo founder or team under 10 with a single workflow — that's OpenChief Solo. You want a platform to build it yourself — that's Relevance AI or Lindy. You need a signed SOC 2 today — that requires a custom engagement.
Only-We Statement
Only OpenChief Enterprise Fleet installs and operates a governed, self-healing multi-agent fleet for a mid-market company — with monitoring, auto-failover, and compliance review built in — instead of handing you an agent-builder and wishing you luck.
What they're paying now
One ops/analyst/content hire: $60K–$110K/yr fully loaded. An agency retainer: $3K–$8K/mo. Or 20–40 wasted staff-hours per week. Enterprise Fleet at $10K setup + $2.5K/mo is below a single junior ops salary — for the output of several roles, 24/7.
In their words
"My team spends half their week on repetitive work a machine should do — but every AI tool I've tried needs babysitting and breaks the moment I look away."
What You Get
Everything in the fleet
Specialized agents across departments, observable infrastructure, and an operator accountable for uptime — not an agent-builder and a wish.
Specialized department agents
Up to 12+ agents deployed across your departments — content production, CRM management, performance analysis, reporting, ops coordination. Each agent is a Declarative Hand: versioned config, reproducible, auditable.
declarative hands
Observability + alert-action loop
Every agent event flows to a monitored channel. Failures raise real-time alerts that trigger auto-failover — you find out from a dashboard, not from an angry client. The fleet never dies silently.
bot.js ↔ notifications.py
3-tier security + compliance
Channel ACLs, outbound secret redaction, and a prompt-injection scanner on every public-facing channel. Enterprise adds quarterly compliance review: ACL audit, injection-log review, secret-rotation check, and a QBR.
3-tier security
Governed orchestration brain
The Orchestrator Brain dispatches and load-balances work across the fleet. One central dispatcher routes tasks across departments, handles parallelism, and produces status reports automatically.
chiefos/ orchestrator
Auto-failover + self-healing
Crashed agents are detected, alerted, and restarted automatically. A failure at 3am triggers failover, not a ticket in your Monday morning inbox. Enterprise: 24/7 monitoring with on-call escalation.
enterprise: 24/7
Token packages + usage telemetry
AI compute is tiered fair-use per plan — not billed as a surprise. Usage telemetry feeds monthly performance reports. At Enterprise, token budgets are tracked per agent and department to surface waste and protect margin.
fair-use included
Unique Mechanism
The Governed Fleet Loop
Four interlocking parts that make the promise credible and hard to replicate.
Part 1
Declarative Hands
Agents defined as versioned config — not brittle prompts — so a fleet is reproducible, auditable, and recoverable. Source-controlled and portable: your fleet doesn't walk out the door with a departing engineer.
openchief/ — Declarative Hands layer
Part 2
The Orchestrator Brain
A central dispatcher that routes work across the fleet and load-balances departments. One brain coordinates all agents — content, CRM, analysis, ops — in parallel under one system with an audit trail.
chiefos/ — bridge :5050, autopilot dispatch
Part 3
The Alert-Action Loop
Every agent event flows to a monitored channel. Failures trigger alerts that fire auto-failover — the loop closes itself instead of waiting for a human to notice something broke in production.
bot.js ↔ notifications.py
Part 4
The Rust Substrate
A hardened 13-crate agent OS under the Python orchestration layer — providing A2A coordination, typed wire protocol, and an execution foundation that doesn't fold under load or concurrent department workflows.
Enterprise Fleet is built for companies with multiple departments whose work needs coordination and governance. If you're a solo founder or small team needing personal AI leverage — one always-on agent, run from your phone, no fleet management overhead — OpenChief Solo is the right offer. Same architecture, right-sized for one operator.
Setup due at signing. Monthly billed in advance. Token packages for AI compute — fair-use included per tier. 30-day cancellation. Custom dev at $150/hr.
Billing model — three separate line items, always: (1) Setup — one-time, due at signing; funds the onboarding sprint and agent provisioning. (2) Monthly — maintenance, monitoring, support, and model upkeep, billed in advance. (3) Token packages — AI compute usage; fair-use included per tier, additional packages available at cost + markup from wholesale. Custom development is quoted at $150/hr outside the standard fleet scope. 30-day cancellation. Configs are declarative and portable — no lock-in.
The questions we get before every signed contract.
Isn't this just Zapier and ChatGPT we could wire up ourselves?
Zapier/ChatGPT combinations break silently at scale and have no coordination or monitoring layer. There's no agent-to-agent handoff, no alert-action loop, no auto-failover, and no operator accountable when a chain breaks in production at 2am. We operate a supervised fleet with a central orchestrator and self-healing behavior — not a brittle trigger-action chain that collapses the moment an API changes or a model hallucinates in a live workflow.
How do I trust an AI agent fleet with our data and clients?
Governance is the product, not an afterthought. Every fleet runs 3-tier security: channel ACLs that restrict what each agent can access, outbound secret redaction that strips credentials before any message leaves the system, and a prompt-injection scanner on all public-facing channels. At Enterprise tier, quarterly compliance review audits the ACL configuration, reviews injection-scanner logs, and verifies secret rotation. You have a paper trail — not blind trust.
Won't we lose control or get locked in?
30-day cancellation — no lock-in. Your agents are defined as declarative config files that you own. They're readable and portable without us. The orchestrator is open-source. If you ever leave, you take the configs. The audit deliverable is yours regardless. We'd rather earn your renewal by being excellent than tie you to a contract.
Can't our own engineer build this?
They can — in 6–12 months and $150K+ in salary and opportunity cost. And then you have a single point of failure: the day that engineer leaves, the fleet knowledge walks out the door. We deliver an operated system via a 2-day Enterprise onboarding sprint, with an operator accountable for uptime and a compliance review cadence that keeps the fleet auditable. No rebuild risk, no knowledge cliff, no 6-month delay.
$10K + $2,500/mo feels like a lot.
Anchored to what you're actually paying now: one ops/analyst/content hire at $60K–$110K fully loaded per year ($5K–$9K/mo). Enterprise Fleet at $2.5K/mo covers the output of several such roles, runs 24/7, self-heals when it breaks, and includes quarterly compliance review. The first-year all-in ($10K setup + $30K monthly = $40K) is below a single junior ops hire in year one — and the fleet doesn't take vacation, get sick, or hand in notice.
What's the proof that this actually works?
We run the same architecture on our own multi-venture operations: OpenChief, Goldbackbond, Camp Alpha, and GBB FX — with a live GBB FX Growth Desk running ~19 agents on the Zo layer of this stack. The chiefos/ orchestrator, openchief/ Declarative Hands, and the openfang-src Rust substrate are the system we use every day across Discord, Telegram, and A0/A2A protocols. We recommend what we've shipped and operate — not what sounds good in a pitch deck.
How long until the fleet is up and running?
Enterprise tier includes a 2-day onboarding sprint — a fleet is stood up and running before the first full month bills. Starter and Professional tiers typically go live within one week of signing. The Business System Audit is the fastest path to knowing exactly what to deploy: it takes one week and produces the customization spec your onboarding uses, so there's no back-and-forth during the sprint.
Do I need the audit before signing up for a fleet tier?
No — but it's the recommended entry point for most buyers. The audit produces the customization spec that tells the onboarding sprint exactly what to build: which agents, which departments, which integrations, and what your guardrails need to be. Skipping it means a slower onboarding and more back-and-forth. The $500/$1,000 audit is a rounding error against a $5,000–$10,000 setup — and it's a standalone deliverable you keep regardless of what you decide.
Your operations, supervised 24/7.
Start with a Business System Audit — a standalone strategy deliverable that tells you exactly what fleet to build. $500/$1,000. One week.