Regently

Turn a goal into an AI company that executes

Create the roadmap, hire AI leaders and workers, connect real tools, and run every task through approvals, budgets, proof, and a persistent Company Brain.

What Regently is built to prove

Autonomous work needs more than chat. Founders need visible priorities, real execution paths, scoped permissions, cost controls, proof artifacts, and a command center that shows what is blocked, what moved, and what needs approval.

Pricing

Start free with no credit card. The Starter plan is $49/month for your first governed AI department. Growth is $199/month for multiple departments, more agents, and higher budgets. Enterprise plans are available on request.

Frequently asked questions

What is Regently?

Regently is a governed operating system for autonomous AI companies. You describe a business goal, and Regently builds the company around it: a CEO agent, department leaders, scoped worker agents on real infrastructure, a roadmap, integrations, budgets, approval gates, and a persistent Company Brain. Every piece of work produces proof you can inspect.

Why is it called Regently?

Regently fuses two words. A regent is someone appointed to govern on behalf of the sovereign — exercising real power, but always answerable to the throne. Agentic describes AI that acts independently: it perceives, plans, breaks goals into tasks, and executes with real tools instead of waiting for prompts. Put together, that's the product: agentic AI that works like a regent. Your agents run marketing, outreach, and operations with real authority, while you remain the monarch — nothing publishes, sends, or spends without passing your approval gates, and every action is recorded as proof. AI that governs for you, never instead of you.

How is Regently different from AI chatbots and copilots?

Chatbots and copilots draft things and wait for you. Regently agents follow through: they take roadmap items, execute with real tools like GitHub, email, social channels, and payments, and ship artifacts — posts, pull requests, reports, CRM updates. The difference is governed follow-through with proof, not suggestions in a chat window.

What can the AI agents actually do?

Agents run inside whatever departments your business needs — Marketing, Engineering, Sales, HR, Operations, Finance, Legal, Customer Success, or any custom department you define — each led by a leader agent reporting to your CEO agent. Workers write and deploy code, publish content through a calendar gate, run outreach, handle support, and track KPIs. They operate on real VPS infrastructure with scoped permissions, not in a sandboxed demo.

What tools and integrations can agents use?

Agents start with native connectors — GitHub, social publishing, email, calendars, CRM — authenticated through managed OAuth. Beyond that, a governed marketplace gateway gives them access to 1,000+ tools and MCP servers from the broader ecosystem: agents discover what a task needs, and anything executable, paid, or outbound requires your approval before it's enabled. Every tool is scoped to the smallest useful permission set.

How do approvals and budgets keep agents under control?

Every agent starts untrusted at L0 on the autonomy ladder and earns L1 and L2 through clean approval streaks — failures move it back down. Risky actions route through approval gates you control, spend is capped by per-company and per-agent budgets with daily hard caps, publishing is gated by the content calendar, and every action lands in a tamper-evident hash-chain audit log with an emergency kill switch.

Is it safe? What happens if an agent goes rogue?

Multiple independent controls stay on at all times. Per-company and per-agent budgets with daily hard caps stop runaway spend, an egress allowlist limits where agents can reach on the network, every action lands in a tamper-evident hash-chain audit log, and an emergency kill switch halts any agent — or the whole company — instantly. Because agents start at L0 with zero autonomy, a misbehaving agent can't publish, send, deploy, or spend without first hitting your approval queue.

How fast until I see something real?

Minutes, not weeks. Quick Start onboarding walks you from describing the mission to your first approved artifact — a real draft sitting in your approval queue — in your first session. From there the loop repeats: drafts appear, you approve or send back, the work ships exactly once with recorded proof, and everything lands in the audit log.

How much does Regently cost?

You can start free — no credit card required. The Starter plan is $49/month for your first AI department with governed execution, and Growth is $199/month to unlock multiple departments, more agents, and higher budgets. Enterprise plans with custom governance and SAML SSO are available on request.

What do I get on the free plan?

The full governed loop, with no credit card: create your company, set the mission, build the roadmap, and run your first governed tasks through the approval queue and audit log. Upgrade to Starter when you want a full AI department running in production, or Growth for multiple departments under one CEO agent.

Do I need to be technical to use Regently?

No. You describe the mission in plain language, connect the accounts you already use, and review work like a board member: approve, reject, or send back with feedback. Technical founders can go deeper with isolated git workspaces, code review, and custom MCP tools — but the command center is built for operators, not engineers.