AI governance framework · multi-provider

Command Center unifies governance, orchestration and operational control across your AI providers, agents and workflows — turning fragmented AI work into measurable, auditable outcomes.

◇Multi-provider governanceAnthropic, OpenAI and Google today — one control layer, provider-agnostic.
◎AI observabilityEvery action audited, with its real cost in dollars — accounted, not estimated.
◈Agent orchestrationEight governed agents per project. Every task cites the rule that justifies it.
◉Human-in-the-loopHard gates on anything irreversible. Security veto enforced in the database.

The universal AI governance layer.Manage all outcomes across every model.

Adopt the messy project you already have. Get a governed manifest, auditable AI execution, and a real traceable cost for every action — on your own API keys.

Start free — bring your own key

No credit card. No compute resale. Your provider, your data agreement.

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Why teams adopt it

Your operational exoskeleton, not a learning curve.

Adopt the messy project you already have. Command Center wraps it in governance, auditable execution and a real, traceable cost for every action — on your own keys.

Built for the people accountable for AI

Four guarantees the board can stand behind.

Governance isn't a markdown prompt. In Command Center it's enforced where it can't be argued with — in the keyring, in the database, in the ledger, before the spend.

01

Bring your own key

Execute across OpenAI, Anthropic and Google with no vendor lock-in. You own the API relationship and the data agreement — Command Center provides the governance, never resells the compute.

02

Database-enforced security gates

Irreversible actions require explicit, human-in-the-loop security vetoes enforced structurally at the database level — not a sentence in a prompt the model can talk its way around.

03

Immutable audit trails

Eliminate black-box AI. Every decision, model choice and output is logged in a mathematically tamper-evident SHA-256 hash chain — evidence your auditors can verify, not take on faith.

04

Pre-action spend control

Stop runaway AI cost before it executes. Hard budget gates evaluate the true dollar cost of an action before the API call is made — not after the invoice arrives. Over budget, it stops itself.

Why governance

An AI error is never a moment. It's a system that propagates backward.

In June 2026, Chile's Supreme Court suspended a lawyer for citing case law the AI invented — not because she used AI, but because nothing in her workflow could tell her it was lying. Adoption isn't the problem anymore. Accountability is.

US$340K

A US health-tech team, one weekend, a runaway agent with no token ceiling.
Air Canada

Held legally liable for a refund policy its own chatbot invented.
Samsung

Confidential source code pasted into a public model. A company-wide ban followed.
See the evidence — real failures & the controls that stop them →

From inside the platform

The governance surface your team runs on.

Real views from Command Center — the project dashboard, the agent architecture, the skills marketplace and the security officer with veto power.

Command Center dashboard — project overview with metrics and the agent org-chart
Project dashboard

Every project's agents, tasks and priorities at a glance — CEO → strategic → operational, each task citing its governing rule.

Command Center — hierarchical agent architecture from CEO to operational C-levels
Agent architecture

A hierarchical, multi-project model: CEO → PO → AI Architect → security veto → operational C-levels, each with its recommended provider.

Command Center — skills marketplace with one-click role bundles per agent
Skills & bundles

SHA-verified skills per agent and one-click role bundles — Marketing, Legal, SaaS and more — distributed to the right agent automatically.

Command Center — Chief Security & Ethics agent with veto power and verified skills
Security & Ethics officer

Audits RLS, OWASP and IAM; holds veto power over unsafe deploys — enforced in the database.

Sensitive-data architecture & security →

How it works

From chaos to governed execution in three moves.

01 · Adopt

Show it your messy folder

It scans, classifies (current / deprecated / protected / noise) and never overwrites anything. Read access only to what you explicitly show it.

02 · Manifest

Get a governed manifest

Your project distilled into a curated source of truth — honest about what's undocumented. Eight AI agents operate under rules they must cite.

03 · Execute

Run tasks with a receipt

One click runs a real audit, test plan or deliverable. Live event stream, security gates checked server-side, and the exact cost in dollars.

Who runs on Command Center

Lawyers Auditors Finance Operations Marketing Consultants Journalists Academics Healthcare Founders Tech teams HR

Built to take a non-AI professional from zero to governed execution.

EDUCATE → CALIBRATE → EXECUTE → AUDIT

The platform calibrates to your experience level on first contact, recommends the right provider per agent, executes with guardrails, and leaves evidence of everything.

Pricing

Pay for governance. Never for tokens.

You pay your AI provider directly with your own key. We charge for the layer that keeps it ordered, audited and under budget.

Start here

Free

$0
forever · 1 user · 1 project
  • Full governance — 8 agents, security veto in the database
  • Adopt your existing project → curated manifest
  • 3 audited skills per agent — curated and suggested for each role, one-click install
  • Free role bundles — Marketing, Legal, SaaS, E-commerce and Consulting packs
  • Auditable task plans — every task cites its rule
  • Real spend tracking per call (BYOK)
  • Community support
Start free

Pro

$29
/month · 1 user · multi-project
  • Everything in Free
  • 5 audited skills per agent — curated and suggested for each role, one-click install
  • Broader role bundles, larger toolkits per agent
  • 1 audit "honoris causa" — a full governance audit, on the house
  • Unlimited projects, isolated contexts
  • Multi-provider keyring per agent
  • Budget caps that stop the spend pre-call + kill-switch
  • Per-project token economics — 30-day history
Opening soon

Team

$99
/month · up to 5 users
  • Everything in Pro
  • Admin panel — team task control
  • 2 "honoris causa" accesses — two complimentary full-access seats
  • Role-based governance with a security-officer veto
  • Cross-project economics rollup
  • Audit-log export for your auditors
  • BI bridge — push AI events to your dashboards
Opening soon

Enterprise

Talk to us
regulated industries · banking-grade roadmap
  • CFO agent stack bundle — Treasury, FP&A, Tax, Operational Controller and CSAT Analyst (McKinsey-grade audit depth)
  • BYO Database — operational data never leaves your infrastructure
  • Compliance path: full audit chain, SOC 2 trajectory
  • Dedicated technical partner for regulated rollouts
✉ Talk to us

Every skill in the marketplace is SHA-verified and security-audited. Role bundles let you load a full toolkit in one move — and you can bring your own skill (15% rev share).

FAQ

The questions technical people ask.

Short, honest answers. The deep dives live on the security & architecture page.

Where does my data live, and what does Command Center access?
In a closed space owned by your account (multi-tenant Postgres with RLS isolation). The system only accesses what you explicitly show it — nothing is read behind your back.
Does my data train the AI? Who else sees it?
No. With BYOK your data relationship belongs to you and your provider (major API plans don't train on your data by default). Account isolation is enforced in the database, not just the interface.
What about my API keys?
Encrypted in a server-side vault. They never touch the browser or frontend code, and you can rotate them anytime.
How do you control AI spend? Can it run away?
Every call is accounted with the real cost the provider reports, and a pre-call gate checks your monthly budget before spending. Go over — it stops on its own.
What if the AI hallucinates or fakes results?
Inviolable rule: never fake progress, never "done" without a real findable result, and unknowns are marked [NOT DOCUMENTED]. The security agent holds a veto enforced in the database.
Can the AI do something irreversible?
No. Irreversible actions require human confirmation for every user level. What can't be undone, gets confirmed.
Can I use my preferred provider? Is there lock-in?
Anthropic, OpenAI and Google work today, with your own key, mixable per project and per agent. Your context lives in Command Center — not trapped in a provider's chat.
How is this different from using ChatGPT or Claude directly?
A subscription gives you a chat with fragile memory. Command Center gives you an operations layer: governance, auditable tasks, real spend control, and permanent context that doesn't live at the provider.
Doesn't analyzing data with AI burn tokens on every data point?
Correct — that's an anti-pattern, and Command Center doesn't work that way. Tokens scale with the decisions you govern, not with your data volume. For high-volume analysis, an agent generates the code once — audited, versioned, with a traceable cost — and that code runs deterministically at near-zero cost per event. The LLM decides; code processes. And every call that does reach a model passes a budget gate before it spends.
We already run our own system with heavy data. Where does this fit?
Command Center doesn't compete with your system or process your stream. Heavy data stays in your infrastructure (BYO Database on Enterprise); deterministic code computes aggregates, and only exceptions and summaries reach the LLM. What we govern is the layer nobody audits today: every generated analyzer gets an owner, a version, an audit trail and a spend ceiling.
Does it meet regulated-industry requirements?
The design points there (full audit log, isolation, BYO Database option), but formal certifications are Enterprise roadmap. We don't promise tomorrow's things for today.

Five minutes from chaos
to a governed plan.

Start free — bring your own key

Bring your hardest, messiest project. That's what it's for.