Sardis AI Agent Payments: What It Is and How It Works
A practical guide to Sardis AI agent payments infrastructure -- deterministic policy enforcement, approvals, cards, and on-chain rails.
Sardis is AI agent payments infrastructure. It lets autonomous agents execute real transactions without giving them unconstrained access to money.
Why Sardis exists
AI agents can decide and act quickly, but raw model output is not reliable enough for direct payment execution. In finance, a small reasoning error can become a large loss. Sardis adds a deterministic control layer between intent and settlement.
How Sardis AI payments work
- Agent proposes an action (for example: pay vendor invoice).
- Sardis policy engine evaluates spend limits, merchant/category rules, and risk posture.
- High-risk actions route to approval workflows (including 4-eyes controls where configured).
- Execution happens on the selected rail: virtual card, fiat treasury lane, or on-chain route.
- Decision and execution evidence is captured in an auditable trail.
What makes Sardis different
- Deterministic, fail-closed policy enforcement before money moves.
- Approval quorum controls for sensitive execution lanes.
- Multi-rail support across card, fiat, and on-chain payment paths.
- Operator-grade auditability for compliance and incident review.
Who should use Sardis
Teams building production AI agents for purchasing, treasury operations, or machine-to-machine commerce. If you need autonomous execution with control, Sardis is built for that boundary.
Who Owns Accountability When an AI Agent Moves Money?
When an AI agent pays the wrong vendor, overspends, or gets exploited -- who is responsible? The operator, the model provider, the framework, or the agent itself?
Sardis v0.9.5: Strict Live Mode + Operations Hardening
v0.9.5 ships strict live-mode controls, replay/idempotency proof gates, SLO alerting, DR evidence automation, and runtime security-policy preflight visibility.