Fintech & Payments · Operational automation

Merchant and payment operations

Merchant onboarding, POS and settlement support, reconciliation exceptions and transaction monitoring on one desk.

In short

Merchant and payment operations is an Aginies solution package for the Fintech & Payments sector in the “operational automation” area. What the agents do: KYB: trade registry, signatory and sanctions checks, risk class and contract in one flow; the operations assistant resolves POS diagnosis, settlement breakdown, refund and limit requests on WhatsApp and the portal. Expected outcomes: merchant issues resolved at first contact, on one channel; KYB within hours; the risk team only on exceptions; reconciliation exceptions no longer wait for month-end. The package uses the KYB & sanctions tools, Terminal & settlement tools, Policy engine, Human-in-the-loop capabilities of the Aginies platform and can be watched live through the Merchant operations assistant: POS, settlement, refund and limit, Merchant KYB onboarding, Payment reconciliation exceptions, AML transaction monitoring alert triage scenarios in the agent library.

The problem

At a payment institution the merchant desk, risk team and reconciliation team work separately on the same merchant; KYB takes days, settlement questions fill the call centre, exceptions wait for month-end.

What the agents do
  1. 01KYB: trade registry, signatory and sanctions checks, risk class and contract in one flow.
  2. 02The operations assistant resolves POS diagnosis, settlement breakdown, refund and limit requests on WhatsApp and the portal.
  3. 03Reconciliation exceptions matched and explained; AML alerts presented to the risk team with evidence.
  4. 04BNPL and instalment decisions through the policy engine; out-of-band requests always to a person.
Package scope
  • Merchant onboarding (KYB), risk class and contract
  • Operations assistant: POS, settlement, refund and limit in one dialogue
  • Reconciliation exceptions and transaction-monitoring (AML) alerts
  • BNPL and instalment decisions with the policy engine
What you need to start
  • API access to terminal management, settlement ledger and refund service
  • Risk policy and rules per central-bank and AML obligations
  • WhatsApp Business and merchant-portal channels
Architecture

Derived from the linked scenarios: the supervisors, specialist agents, models and systems that run this package.

Supervisors
Merchant SupervisorMerchant Onboarding SupervisorReconciliation SupervisorAML Supervisor
Specialist agents
Dialogue AgentPOS AgentOperations AgentRisk AgentBusiness Identity AgentUBO AgentContract AgentMatching AgentInvestigation AgentCorrection AgentEnrichment AgentScreening AgentNarrative AgentFiling Agent
Models (Hub catalogue)
aginies-talay-2aginies-sunkar-1aginies-tulpar-4aginies-konrul-1
Systems touched
WhatsApp BusinessTerminal ManagementSettlement LedgerRefund ServiceTicketingMerchant PortalTrade Registry (MERSİS)Sanctions Screeninge-SignEmailPSP / Acquirer APICard NetworkCore LedgerCase ManagementMASAK Reporting Portal
Channels
whatsappwebvoiceemailbatchapi
Simulation volumes
74,520runs / month
94.0%success rate
8.1 smedian duration
$0.0043estimated cost / run

Summed from the simulation definitions of the linked scenarios; recalculated for your scale in the discovery session.

Outcomes
  • Merchant issues resolved at first contact, on one channel
  • KYB within hours; the risk team only on exceptions
  • Reconciliation exceptions no longer wait for month-end
Capabilities used
KYB & sanctions toolsTerminal & settlement toolsPolicy engineHuman-in-the-loopWhatsApp BusinessFull audit trail
Explore the platform →
Measured targets
Merchant support first-contact resolution70% and above
KYB completion timeFrom days to hours
Reconciliation exception closure time60% shorter

Target ranges from comparable deployments; baseline and target are fixed together in the first week of the pilot.

Governance and approval rules

Scenario-level approval rules plus the package’s general controls.

  • Merchant operations assistant: POS, settlement, refund and limitRefund > 25,000 or limit increase > 50% → risk team approval
  • Merchant KYB onboardingRisk tier high or UBO fuzzy match > 0.65 → compliance manager approval
  • Payment reconciliation exceptionsSingle break > 10,000 or total > 50,000 → finance manager approval before adjustment
  • AML transaction monitoring alert triageEvery alert → compliance analyst decision mandatory; the agent never files an STR or closes a case alone
  • packageHigh refunds, limit increases and AML alerts always with the risk team
  • packageCommunity cloud or the institution’s data centre; deployment aligned with payment regulation
Rollout
  1. 1 · Process map · 2 weeksSignal sources, decision points and work-order systems mapped; the automatic-decision boundary and approval chain defined.
  2. 2 · Pilot · 4 weeksOne line, one region or one process; the agent prepares the recommendation, a person applies it; deviation and gain measured.
  3. 3 · Autonomous operationDecisions below the threshold run automatically, above it go to approval; shift reports and SLA dashboards live.

Time to move from experimenting with AI to transforming with it.

In a 30-minute discovery session we take your 2–3 priority business problems, show a live demo of a similar scenario, and draft a roadmap that starts with the Value layer.

Book a 30-minute discovery session → dahi@aginies.com
  1. Your 2–3 priority problems
  2. Live demo of a similar scenario
  3. Roadmap starting with value analysis