Background GIF

Prutan is the Agentic
Payments Assurance Platform.

Not a testing tool. Not a QA upgrade.

Core Principles:

Governing insight:

Prutan eliminates unknown payment risk, before your customers find it.

Protocol Native

Built from the ground up for ISO 8583, ISO 20022, and REST — not adapted from generic tools.

Payments Native

Every module, every alert, every report is built with payment system domain knowledge.

Deterministic Assurance

Not probabilistic. Not sampled. Every flow validated against defined conditions.

Human in the Loop

Regulated actions require human approval. Explainable outputs. Audit-ready by design.

The Market Problem

Payments-Aware Intelligence.
Not Generic AI.

What RADAR analyses

ISO 8583 and ISO 20022 message semantics and field definitions — not just syntax.

Payment lifecycle states — uth, reversal, timeout, retry, dispute, fraud — end-to-end.

Scheme and network rules — Visa, Mastercard, RTP, BNPL — enforced natively.

Banking and fintech workflows — not generic software flows. Context-specific intelligence.

What it delivers

Context-aware scenario generation, scenarios built around your specific payment flow, not templates.


Meaningful validations, not just syntax checks. Field-level semantic validation against protocol definitions.


Explainable outputs, every recommendation traceable. Audit-ready from generation to report.


95%+ more edge cases surfaced vs human-authored coverage, risk you didn't know you had.

Automation Acceleration

AI-Assisted Scenario
Generation via WISO

How it works

Business outcomes

Faster assurance onboarding, new flows validated from day one, not after months of scripting.


Reduced manual scripting, WISO generates the full suite. Your team reviews, not writes.


Higher Risk Surface coverage from day one, Risk Surface Expansion: WISO surfaces failure scenarios beyond what human engineers know to test.


Release certainty for every payment flow, every scenario validated, every edge case covered, before the release gate.

Generate scenarios from ISO spec definitions, transaction flows, API contracts.

Positive, negative, and boundary scenarios, complete coverage automatically.

Auto-cover edge cases, 95%+ more than manual coverage

Modernisation Insight

Payments Modernisation
Intelligence

Migration paths supported

Analyze ISO 8583 → ISO 20022 field mappings, semantic mismatches detected before cutover

Generate validation scenarios automatically from mapping definitions

Highlight high-risk fields and flows before production cutover

Detect BAU Change Risk post-migration, small, unnoticed changes that break payment flows.

Outcomes and coverage

Continuous assurance across modernisation phases , not a one-time validation at cutover.


Safer cutovers — validated, not assumed. Field-level confidence before production switch.


Tokenisation and Digital Currency flow support — natively understood by WISO.


Multi-region availability

Singapore
UAE
India
France
Expanding

Regression Intelligence

RADAR - Risk Assessment Dashboard
and Assurance Reporting

What RADAR analyses

BAU changes, gateway configs, microservice patches, fraud rule adjustments, scheme rule changes.


Payment message format changes, field additions, type changes, new response codes.


Scheme rule updates, automatic regression triggered by every scheme change.

What RADAR generates

Identifies impacted payment flows, not just impacted tests

Prioritises by Revenue-at-Risk, in dollars, not test count or QA metrics

Board-ready Audit Trail satisfying regulatory requirements, methodology-disclosed

Internal Payment Risk Alers to Slack, Jira, email, PDF — the viral sharing mechanism

Four diagnostic levels - L1 through L4

Payment Scenario Coverage Index

Coverage Gap Report surfacing untested payment flows. Shareable with peer engineers in one click.

Audience:

Payments engineers

Contextual Risk Profile

Revenue exposure estimate and management briefing. Translates technical risk into business impact.

Audience:

Team leads, Head of Payments

Observed Behaviour Risk Index

Internal Payment Risk Alert — auto-generated on Critical finding. Idempotency report and latency degradation curve.

Audience:

VP Engineering, CTO

Validated Payment Risk Index

Board-ready Executive Risk Report. Methodology-disclosed. Satisfies regulatory and compliance requirements.

Audience:

Board, Regulators, Auditors

Certification Intelligence

Self-Healing Payment
Assurance, Library + WISO

Library coverage

ISO 8583 — complete field definition library with scheme-specific variants


ISO 20022 — message structure, semantic validation, migration scenarios


Visa · Mastercard · RTP · BNPL — scheme-specific certification scenarios


Grows with every deployment — network effect no single-customer tool can replicate

WISO self-healing capabilities

Interprets scheme updates, identifies impacted flows, auto-updates certification packs

Detects non-breaking format changes and prevents false failures

Continuous certification readiness, not point-in-time certification runs

Detect BAU Change Risk post-migration, small, unnoticed changes that break payment flows.

60–70%

faster scheme certification cycles

Prutan Validated

Flow-level certification against Prutan's full scenario library. The badge that certified payment flows carry.

"Are you Prutan Validated before launch?"

— becoming the procurement requirement for payment system go-lives

Continuous certification

readiness, not sprint-gated, not point-in-time.

Reduced dependency on external certification labs, Library + WISO covers the full scenario surface.

AI Security Trust

GenAI in Regulated Environments -
Guardrails Built In

Security architecture - five controls

No public model training

Customer data is never used to train shared or public models. All learning is isolated per customer environment.


No public model training

Customer data is never used to train shared or public models. All learning is isolated per customer environment.


No public model training

Customer data is never used to train shared or public models. All learning is isolated per customer environment.


No public model training

Customer data is never used to train shared or public models. All learning is isolated per customer environment.


No public model training

Customer data is never used to train shared or public models. All learning is isolated per customer environment.

Regulatory alignment — three commitments

Alignment with Model Risk Management frameworks - AI governance built into the platform architecture.

Satisfies regulatory explainability requirements - every AI-assisted decision is auditable and traceable.

Board-Ready Audit Trail for AI-assisted decisions - timestamps, user actions, model versions captured automatically.

Privacy by Architecture:

Desktop: zero payment data stored on Prutan servers — all scripts remain on local machine. Sandbox: Digital Twin Simulation operates without production access. mTLS · OAuth · Data masking · Tokenisation.

Trust Every Payment. Certify Faster. Ship with Confidence.

Expand from individual engineers to payment teams to board-level infrastructure.Own your payment reliability — before your customers find the risk.

Prutan • Payment Reliability Assurance • Intellocore.com

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