How much does sipi.bot cost for enterprise ai teams?

There's a free tier suitable for individuals and small teams. Paid plans scale with usage.

Do I need technical skills to use sipi.bot as a enterprise ai teams?

No. sipi.bot is designed for non-technical users while offering a full API for developers.

sipi.bot for Enterprise AI Teams

Compliance and audit trails for enterprise AI spend

Why enterprise ai teams choose sipi.bot

Enterprise AI teams need SOC2-grade audit trails on every dollar spent.

Common pain points sipi.bot solves

Auditors demand spend trails
Finance needs chargeback
Compliance requires controls

What enterprise ai teams get with sipi.bot

SOC2-ready audit logs
Department-level chargebacks
Policy-based spend approvals

How it works for enterprise ai teams

Sign up and configure your spend firewall settings in under 5 minutes.
Integrate via API or use the dashboard — no engineering team required.
Get results immediately and export in your preferred format.

Common spend patterns for Enterprise AI Teams

Enterprise AI Teams run agents that can move money in the course of their work. The exact pattern varies, but the failure modes repeat: an agent loops on a paid API call, a tool call hits the wrong merchant, a multi-step workflow accumulates charges faster than anyone expected, or a prompt injection tricks the agent into a transaction it should never have made.

A runaway agent's cost is bounded only by the limits you set before it spends. The pattern is not rare and it is not cheap.

How sipi.bot fits your workflow

sipi.bot is a spend firewall for autonomous AI agents. It sits between your agent code and your payment methods, evaluating every transaction against your rules in under 5 milliseconds and returning one of three structured decisions: approve, block, or flag. Per-transaction limits, daily ceilings, velocity caps, merchant allowlists, and human-in-the-loop escalation are all enforced before a dollar moves. Pricing starts at $99 per month.

For Enterprise AI Teams, the value is enforcement, not just observability. Dashboards tell you what happened after the money moved. A spend firewall stops the transaction before it moves. The difference, on a runaway loop, is the difference between a $2 anomaly and a $2,000 incident.

A typical deployment

List the transactions your agents actually initiate — paid API calls, provisioning, purchases, refunds.
Set a per-transaction limit that covers legitimate use but flags anything unusual. For most Enterprise AI Teams workflows, $1 to $5 per transaction is enough.
Set a daily ceiling per agent ($10-$50 for development, higher for production).
Add a velocity cap (transactions per minute) to catch loops. Ten per minute is a reasonable starting point.
Configure a merchant allowlist so the agent can only transact with vendors you have approved.
Turn on alerts and run a postmortem on every flagged transaction.

Why Enterprise AI Teams choose sipi.bot

The alternative is building this yourself: a policy engine, a decision API, an audit log, alerting, and a review workflow. That is months of engineering for a problem that is not your core product. At $99/mo, sipi.bot is cheaper than a single incident and deploys in an afternoon.