Use cases for Saykai.

Saykai is for robots, agentic systems, and physical AI where mistakes are expensive and hard to roll back.

If a change can move money, equipment, or people, it should clear a safety gate first.

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Start with one workflow where mistakes hurt and make that pipeline gated first.

Physical, financial, and infra changes - all gated through CI.

PHYSICAL

FINANCIAL

INFRA

GATED

Saykai is used for:

Agents & Ops Warehouse & Mobile Industrial & AV

Agents and operations copilots.

Gate tool, model, and policy changes for agents that move cash, touch configs, or trigger real work. Instead of hoping a new prompt behaves, you rehearse full workflows on real data before rollout.

Replay tickets, trades, orders, or jobs on every behavior change.
Compare new behavior against a known good baseline and drift limits.
Ship only versions that produce a passing Safety Pack.

> All of this runs in CI, with every PR producing a Safety Pack for that copilot.

Fintech & Trading Supply Chain Internal Ops

SCENARIO_CONFIG // LOGISTICS_PLANNER

Scenario Set: Production Planning

> ACTIONS

Replay 7 days of real plans and edits.
Flag new error patterns or unsafe allocations.

> ROLLOUT RULE

Block Shipping: If any critical workflow fails.
Require Approval: If risk metrics exceed drift limits.

Warehouse and mobile robots.

Protect warehouse fleets from autonomy updates that quietly increase collisions, near misses, or throughput hits.

Incidents become replayable scenarios that every new version must pass in CI before it reaches a live floor.

Capture real incidents and near misses as replayable scenarios.
Track regressions in collisions, near misses, overrides, and latency.
Give operators one Safety Pack that explains why a release is safe.

Warehouse Robots Logistics Fleets Mixed Traffic

Example gate: warehouse AMR fleet

AUTONOMY_GATE // AMR_FLEET_V2

COLLISIONS / 10K

0

NEAR MISS (< 25cm)

0.02%

HUMAN OVERRIDE

1.4%

LATENCY

24ms

> GATE STATUS: PASSED
> NO REGRESSIONS DETECTED

Industrial and AV programs.

Use Safety Specs and Safety Packs as standard parts of your safety case and risk process. Every release has a traceable story instead of scattered charts and screenshots.

Consistent evidence

Every approved change has a Safety Pack showing what changed, what was tested, and how it compared to previous releases. Attach it to safety cases and audits.

Clear ownership

Engineering owns the Spec in CI. Safety and risk own whether to accept the Pack. Everyone reviews the same artifact.

Program scale

Version Specs by fleet, region, or operating mode so you can meet regulatory expectations without reinventing process each time.

Cobots Industrial Cells AV & ADAS

Below is an example Safety Pack header for an industrial or AV release.

ARTIFACT // SAFETY_PACK.JSON

                "meta": {
                  "build_id": "ci-8921-b",
                  "spec_version": "v4.2",
                  "decision": "PASS"
                },
                "evidence": {
                  "scenarios_run": 240,
                  "log_replay_hours": 1200,
                  "critical_failures": 0
                },
                "signatures": [
                  { "role": "CI_GATE", "status": "AUTO_APPROVED" }
                ]
              

SIGSTORE KEYLESS SIGNING (COSIGN)

Start with one system that matters.

Pick a fleet or workflow where mistakes really hurt. Make Saykai the gate there first, prove the value, then extend.

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