YinkoShield
Brief

applications

Pick the journey you want to improve.

Execution evidence is one substrate that resolves five kinds of operational ambiguity. Each journey below is a buyer mental model with concrete operator outcomes the layer delivers today. Pick the one your customers — or your fraud team, or your operations team — will name out loud.

six journeys

Choose a journey

for product teams

From buyer journey to product mechanism.

Each journey above is a buyer-outcome surface. The substrate mechanism that delivers it is concrete — a specific Evidence Token field, a verification step, a signed event class, or a forensic channel. Below: the bridge between the buyer language and the product mechanism — the slide a product manager wraps for their roadmap conversation.

  • Network

    tctx + per-device seq

    Retry disambiguation lands deterministically; sequence gaps surface in real time. Read on the request body, evaluated alongside the payment authorization.

  • Fraud

    verifier reject reasons + signed threat events

    Algorithm-confusion and downgrade attacks fail at verification step ·02 — they never reach the risk model. Threat signals arrive inline with the transaction they describe.

  • Experience

    boot_id + scope + retry semantics

    Restart-interrupted flows surface as named events, not silent declines. The auth context — login → biometric → OTP → payment — arrives hash-linked with the transaction.

  • Integrity

    key.rotation + classified reject reasons

    Per-device key rotations are attributable; verification failures arrive with the precise step that decided. Audit moves from anonymous counts to forensic-grade traceability.

  • Operations

    cohort signals + Commander channel

    Cohort outages observable before support hears about them. The Commander module retrieves the device-resident ledger on demand for forensics — encrypted command in, signed response out.

  • Autonomous

    agentic-payment Evidence Token annex

    Delegation chain, agent identity, and intent-vs-execution split carried inline. Hash-linked across propose → consent → initiate → confirm; one step omitted and the chain breaks visibly.

For the integration channels, the verifier contract, and the operating model — read the platform page.

by deployment context

Two business contexts where the journey set composes differently.

The six journeys above are problem classes. The two contexts below are business shapes that pull on multiple journeys at once — and have specific scope boundaries (USSD, agent-vs-customer separation, multi-jurisdictional posture) worth naming explicitly.

how teams consume it

One substrate. Eight teams reading it.

The journeys above are buyer-outcome surfaces. Below: how the same signed evidence stream is consumed by the eight teams typically involved in payment trust — security, fraud, UX, operations, forensics, support, compliance, and network-trust. Each applies its own threshold. The substrate stays unified.

primary use cases

  • ▢ security

    Runtime integrity

    Portable runtime integrity verification across devices and networks. Every signed event carries the integrity state at the moment of action.

  • ◐ fraud

    Behavioral correlation

    Correlate device behaviour with transaction-level anomalies. Fraud models receive cleaned, signed inputs instead of operational artefacts.

  • ◯ user experience

    False-positive reduction

    Reduce false positives through execution-grounded evidence. Conservative declines stop being the only safe choice.

  • ↻ operations

    Flow reconstruction

    Deterministic reconstruction of disputed payment flows. The execution path is replayable from the signed ledger.

extended use cases

  • ✦ forensics

    Audit trail

    Tamper-evident signed event trail for post-incident investigation. Every step is hash-linked to the next.

  • ✉ automated support

    Dispute resolution

    Evidence-backed dispute resolution without manual reconstruction. The record either validates or refutes the claim cryptographically.

  • ▣ compliance

    Policy proof

    Verifiable proof of runtime policy enforcement at execution time. Auditors see what the system actually did, not what it reported.

  • ⟁ network trust

    Zero-trust extension

    Continuous device-bound trust across constrained and offline environments. Trust re-established per transaction, not inherited from enrolment.

Tell us which one of these is costing you the most.

We will map your exposure against the layer and tell you whether execution evidence is the right substrate for it.

Request a briefing