Solutions · Payments

Agentic AI for Payments

Payments runs on volume, speed, and tiny error budgets. BlackGrid lets agents work the queues that swamp your teams — fraud alerts, screening hits, disputes, reconciliation breaks — grounded in transaction context, gated by policy on anything consequential, and logged end to end.

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Why it's hard today

The blockers between pilots and production.

Real-time stakes

Holds and blocks happen in seconds and touch real customers — wrong actions are incidents, not inconveniences.

False-positive floods

Screening and fraud rules are tuned not to miss — so analysts drown in alerts that were never risk.

Exception backlogs

Disputes, returns, and reconciliation breaks pile up in queues where every item needs context from three systems.

Where agents pay off

Payments workflows, worked end to end.

Payments fraud investigation

Score, then investigate: device, velocity, counterparties, and history assembled into a case — auto-clear or escalate per policy.

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Sanctions & AML screening

Enrich screening hits, clear obvious false positives with documented rationale, and escalate true risk to investigators.

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Disputes & chargebacks

Gather transaction evidence, draft representments, and track error-resolution clocks — with people on the judgment calls.

Reconciliation & exceptions

Match across ledgers and networks at scale; resolve routine breaks; escalate the genuine anomalies with context.

Built for your regulators

Governance is the product, not the paperwork.

Payments automation lives under BSA/AML expectations, consumer error-resolution rules such as Regulation E, and card-network requirements — all of which assume you can show why an action was taken. Grounded context, human gates on holds and blocks, and a decision-grade audit trail are how agentic operations stay defensible.

Under every workflow sits the same foundation: one governed context layer feeding every agent, human checkpoints on consequential actions, and a complete audit trail on everything. See how the layer works.

Frequently asked questions

Can agents act in real time on payments?

Agents assist in real time and act within policy: low-risk dispositions execute automatically, while holds, blocks, and account actions route through human checkpoints defined by impact and reversibility.

How does this cut false positives without missing risk?

The agent adds context a rule can't see — history, counterparties, device, prior dispositions — so obvious false positives clear with documented rationale and genuine risk reaches an investigator faster. Detection thresholds stay yours.

What does the audit trail cover?

Every signal consulted, every action taken, the policy that allowed it, and the human who approved anything consequential — reconstructable per transaction.

Bring us a real payments workflow.

We'll show it grounded, supervised, and auditable end to end.

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