Automate Document Review Across Big Data Cloud with AI
Purpose-built AI agent for Document Review — connects to Big Data Cloud in minutes so your team can stop doing the work by hand.
MSA reviewed. 4 deviations flagged · summary in the legal queue:
Customer
“Pls review attached MSA before Thursday — same terms as last time except we tightened the indemnity clause and added a data-residency requirement.”
Agent draft · in your tone
Reviewed. Three substantive changes vs. our template: (1) indemnity cap raised to 2× fees — recommend pushing back to 1×; (2) EU data-residency clause is acceptable; (3) auto-renewal language is one-sided — proposed redline attached.
How does Big Data Cloud work for document review automation?
Big Data Cloud works for document review automation by powering an Vayan AI agent that runs the workflow end-to-end inside your existing tools — no code, no custom build. The agent connects to Big Data Cloud alongside the other apps your team already uses, watches for the triggers that matter for document review, and takes the next step on its own while keeping a complete audit trail for review. AI analyzes contracts and documents in minutes instead of hours, surfacing key clauses and risks. Teams typically see hours → Minutes with flags for attorney attention once the agent is in production. You stay in control: every action is logged, confidence thresholds are configurable, and anything ambiguous is queued for a human instead of being silently auto-completed.
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.
Automate Insights Delivery
AI processes your Big Data Cloud data on schedule, surfaces anomalies, and distributes reports to stakeholders automatically.
Reviewed. Three substantive changes vs. our template: (1) indemnity cap raised to 2× fees — recommend pushing back to 1×; (2) EU data-residency clause is acceptable; (3) auto-renewal language is one-sided — proposed redline attached.
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.
- Northwave Procurement9:14 AM
Customer marked the resolution as helpful.
- Agent9:12 AM
Sent reply on ticket Doc · Northwave-MSA-v3.
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 Doc · Northwave-MSA-v3 as the matching topic.
Frequently asked questions
The Big Data Cloud integration automates end-to-end document review — including data capture from Big Data Cloud, validation, routing, follow-up actions, and status updates. Every document review step that touches Big Data Cloud can be handled by the AI agent.
Yes. You define exactly which Big Data Cloud events start document review workflows — new records, status changes, messages, or custom triggers. Each trigger can have conditions so document review actions only fire when your specific criteria are met in Big Data Cloud.
All data exchanged between Big Data Cloud and Vayan AI during document review processing is encrypted in transit and at rest. We use OAuth tokens for Big Data Cloud access, never store raw credentials, and maintain full audit logs of every document review action.
When the AI hits an edge case during document review processing 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 document review pipeline never stalls or loses data.
The agent reviews contracts, leases, policies, regulatory filings, and the big data cloud-specific documents your team handles daily — extracting key clauses, flagging non-standard terms, and surfacing risks against your standards library.
Yes. You configure standard clauses, acceptable variations, and red-flag language specific to big data cloud. The agent applies these standards consistently across every document — eliminating the variance that comes from different reviewers with different opinions.
The dashboard shows document review-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 document review workflows perform over time.
No coding required. The no-code builder walks you through connecting Big Data Cloud and configuring document review rules visually. Your team can set up, modify, and manage Big Data Cloud-based document review workflows without any developer involvement.
Yes. You can run document review workflows in test mode using sample Big Data Cloud data before activating on live records. This lets you verify every document review rule works correctly with your Big Data Cloud setup before processing real data.
Vayan AI connects natively with Big Data Cloud to handle the full document review workflow. The AI agent monitors Big Data Cloud events, processes document review tasks automatically, and writes results back to Big Data Cloud — no copy-pasting or tab-switching required.
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