One platform. Many controls. One engine underneath.
Every use case you can run on Swiftward sits on the same engine: versioned policy, replay, shadow testing, and human review, on an enterprise foundation you run yourself. You are not buying a point tool. You are buying the engine every team shares.
Book a demoThe stack
- Enterprise foundation. On-prem, SSO, role-, attribute- and field-level access, multi-tenancy, secrets, append-only audit. Enterprise foundation
- The Swiftward engine. Versioned policy, shadow, A/B, dead-letter queue. The engine
- Evidence and audit. Prove what your AI did and replay it on the exact version that was live. Evidence & audit
- Human-in-the-loop. The engine routes the calls it flags to a person; their decision re-enters the same audited pipeline. Human-in-the-loop
- Policy packs. The rules for your problem. Same engine, different pack. Solutions
- Gateways. Drop one in front of your LLMs, agents, trading flow, or code. Gateways
- Configuration and white-label. Everything above is configured, not coded, and can run invisibly under your own brand.
How a decision works
Event in. Policy evaluated. Decision and trace out. Evaluation runs in two phases on purpose: a deterministic phase that settles the verdict, then a best-effort phase for side effects. So a verdict built from deterministic rules is settled before any side effect fires and reproduces on replay, no matter what fails downstream; where a rule defers to a model or a human, the trace still records exactly what happened. Every step is recorded, so any decision can be explained or replayed later.
Why the list is this deep
Swiftward is built on a declarative platform: entities, screens, actions, and permissions are defined as configuration, not hand-written for each case. That is why the enterprise surface is this complete, and why adapting it to a specific requirement your review raises is normal engineering, not a rewrite. See how this compares to assembling it yourself on OPA, LiteLLM, ROOST, or Microsoft's toolkit.