Governance for AI agents

Control what your AI agents do.

If you run AI agents, GaaS makes their work safer and more consistently reliable — the same way, across every one of them. Free to start.

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The Problem

Your agents are already acting. Right now they send, post, order, and touch records on their own, and the only thing checking them is the prompt you wrote.

Hope is not a control.
What GaaS Does

Before your agent acts, GaaS decides.

Before an agent sends, posts, orders, or touches a record, GaaS checks it against your rules and does one of three things:

Allows it

Lets it through

When the action is clearly fine, it clears in well under a tenth of a second. Your agent never breaks stride.

Holds it

Holds it for you

When it wants a human to say yes first, the action waits — and lands where you already work.

Blocks it

Stops it cold

When it would cross a line you drew, it never executes. The mistake you prevented once is prevented forever.

Every decision is kept as a receipt you can show anyone — an immutable record of what your agents did, and what they were never allowed to do.

The Proof

Set it up in an afternoon.

Install the SDK and declare your first intent in three lines. Then author your policies in plain language — the conversational dashboard is powered by Claude, so you govern by describing what you want, not by writing rules by hand.

govern_payment.py
from gaas_sdk import GaaSClient, build_intent

async with GaaSClient("https://api.gaas.is", api_key="gsk_...") as client:
    intent = build_intent(
        agent_id="my-agent-v1",
        action_type="TRANSACT", verb="initiate_payment",
        target="vendor_account_9912",
        summary="Pay invoice INV-2026-0044",
    )
    decision = await client.submit_intent(intent)
    print(decision.verdict)   # APPROVE | BLOCK | ESCALATE

The real Python SDK; TypeScript, Java, cURL, and LangChain are documented at gaas.to.

No rule syntax to learn. Tell the dashboard "hold any order over $500 for my approval" and the policy exists. Stress-test it with what-if scenarios before it ever enforces.
The Dividend

Governance that pays you back.

Prompt-based guardrails burn 23,000 to 65,000 tokens every governance cycle. GaaS uses 200 to 500, and hands you back 30 to 60% of the agent's context window.

Read The Context Dividend
For Every Operator

Whatever your agents do, GaaS governs it.

Content & social agencies

Posts checked against brand and claims rules before they publish; risky ones held for a yes.

Parts & purchasing

Orders verified for cost and correctness, and gated over the dollar amount you set.

Healthcare & clinics

PHI detected and blocked, minimum necessary enforced, audit trail ready if anyone asks.

Retail & customer service

Prices, promises, and refunds stay inside your policy — off-policy promises never go out.

Pricing

Start free, stay cheap.

Start free in Shadow Mode, no credit card. There is a free tier, plans from $99 a month, and less than a cent per governed action at scale. Nonprofits, NGOs, and veteran-owned businesses govern free for life.

See Full Pricing
// FAQ

Every objection, answered.

An external layer that checks what your AI agents are about to do and allows, holds, or blocks it against your rules, keeping an immutable record of every decision.

No. GaaS is for any operator running agents. Regulated teams get framework mappings; everyone else gets control over what their agents do.

No. Start in Shadow Mode with just an email; it runs the full pipeline on real actions without enforcing anything, so there is zero operational risk. A developer wires the SDK in an afternoon, and you author policies in plain language.

Start free in Shadow Mode, no card. There is a free tier, then plans from $99 a month, and under a cent per governed action at scale. Nonprofits, NGOs, and veteran-owned businesses govern free for life. See pricing.

Routine actions clear in well under a tenth of a second. Only high-stakes decisions take longer, and only because you asked them to.

No. GaaS sits outside the agent and needs no model changes and no cooperation from the agent to work.

The opposite. Prompt guardrails cost 23,000 to 65,000 tokens per governance cycle; GaaS costs 200 to 500 and returns 30 to 60% of your context window. See The Context Dividend.

Prompt guardrails live inside the model, get re-read on every call, and can be argued away. GaaS is external and enforced; the agent cannot talk it out of a block.

Start Free Shadow Mode

Full pipeline, real actions, zero enforcement, no credit card. See what your agents are doing, then decide when to go live. If you run AI agents, this is the safest move you can make today.

Start Free Shadow Mode