Automate Banking Operations with Big Data Cloud + AI
Unlock Big Data Cloud for your Banking business. Vayan AI agents handle the busywork so your team doesn't have to.
47 inquiries handled overnight. Sample escalation:
Customer
“I see a $1,240 charge from 'TLR Holdings' on my March statement that I don't recognize. Can you investigate and pause if needed?”
Agent draft · in your tone
Hi James — I've placed a temporary hold on your debit card and opened a dispute for the $1,240 charge from TLR Holdings (filed Mar 10, ref D-7821). You'll see a provisional credit within 48h while we investigate. A new card is on its way; ETA Wednesday.
How does Big Data Cloud work for banking teams?
Big Data Cloud works for banking teams as the engine behind an Vayan AI agent built around the workflows that actually consume your week. The agent reads context from Big Data Cloud and the other systems your banking operation depends on, runs the routine work in the background, and surfaces only the cases that need a human decision. AI moves, transforms, and loads data between your analytics platform and operational tools — keeping dashboards current without manual effort. Teams typically see faster application-to-funded time once the agent is in production. Setup is no-code, every action is auditable, and the agent is scoped to the rules your banking team defines — not a generic template applied to your business.
Built in plain English.
You write the rule the way you'd describe it to a teammate. The agent reads the rule, breaks it into the actions it'll take, and confirms the apps it'll touch — before it does anything.
- 1Read the inbound ticket and classify the topic
- 2Pull the customer's plan, history, and SLA
- 3Draft a response in your support team's voice
- 4Resolve directly or hand off with full context
Get started in three steps
Connect Big Data Cloud
Link Big Data Cloud to Vayan AI and your data pipelines start syncing within seconds.
Define Data Workflows
Choose which Big Data Cloud datasets, reports, or dashboards trigger AI actions — and configure transforms and delivery rules. For banking teams, this typically means routing workflows from tools like Fiserv alongside Big Data Cloud.
Automate Insights Delivery
AI processes your Big Data Cloud data on schedule, surfaces anomalies, and distributes reports to stakeholders automatically.
Hi James — I've placed a temporary hold on your debit card and opened a dispute for the $1,240 charge from TLR Holdings (filed Mar 10, ref D-7821). You'll see a provisional credit within 48h while we investigate. A new card is on its way; ETA Wednesday.
Customer reports a duplicate charge; refund queued, awaiting confirmation.
Customer asking what's included on the Growth plan vs. Pro.
Approve before it sends.
Every draft lands in a review queue. You approve, edit, or reject — the agent never acts on its own unless you explicitly turn that on for a workflow you trust.
Every action, with the reasoning attached.
Each step the agent takes is logged with what it did, why it did it, and which app it touched. Audit-ready, so security and compliance can sign off without backfilling.
- James Whitaker9:14 AM
Customer marked the resolution as helpful.
- Agent9:12 AM
Sent reply on ticket #3318.
Reason: Confidence above auto-send threshold; voice match passed; SLA at-risk.
- Agent9:11 AM
Drafted reply in your team's voice.
- Agent9:10 AM
Pulled customer plan, prior tickets, and account context.
- Agent9:09 AM
Triaged #3318 as the matching topic.
Frequently asked questions
Manual banking workflows involving Big Data Cloud require constant context-switching, copy-pasting, and status tracking. Vayan AI eliminates this by handling banking tasks in real-time as Big Data Cloud events occur — running 24/7 with consistent accuracy.
Yes. You can run banking workflows in test mode using sample Big Data Cloud data before activating on live records. This lets you verify every automation rule works correctly with your banking processes before it touches real Big Data Cloud data.
No coding required. The no-code builder walks you through connecting Big Data Cloud and configuring banking-specific automation rules visually. Your banking team can set up and manage Big Data Cloud workflows without any developer involvement.
The Big Data Cloud integration scales automatically with your banking operations. Whether your banking volume doubles from seasonal demand or business expansion, the AI handles the increased Big Data Cloud workload without slowdowns or additional configuration.
Vayan AI uses Big Data Cloud as a structured surface for the operational work behind account-opening slas stretched by manual kyc and identity checks. Instead of your banking team coordinating manually, the agent listens for the right Big Data Cloud events, takes the next action, and escalates only when judgment is required — turning a recurring drain into a measurable workflow.
For banking teams, the highest-leverage automations on top of Big Data Cloud target bsa/aml monitoring tuned by people instead of signals and the routine Big Data Cloud-mediated work that surrounds it. An Vayan AI agent runs those flows continuously, captures the audit trail in Big Data Cloud, and frees your team to focus on the cases that actually need human attention.
When the AI hits a scenario outside its configured rules for your banking workflow in Big Data Cloud, it escalates to your team with full context — the Big Data Cloud record, what was attempted, and why it needs review. Your banking pipeline never stalls.
The dashboard shows banking-specific metrics for your Big Data Cloud integration — tasks processed, average handling time, success rates, and escalation frequency. You can track how Big Data Cloud-triggered banking automations perform and optimize over time.
You can automate the full range of banking workflows through Big Data Cloud — lead processing, data entry, document handling, customer communications, and reporting. The AI agent reads from and writes back to Big Data Cloud so your banking data stays centralized.
Most banking businesses see measurable time savings within the first week of connecting Big Data Cloud. The AI agent starts processing banking tasks the moment you activate the Big Data Cloud integration — no training period or warm-up required.
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