Automate Insurance Operations with Big Data Cloud + AI
Unlock Big Data Cloud for your Insurance business. DeskFerry agents handle the busywork so your team doesn't have to.
First-notice acknowledged. Adjuster assignment confirmed:
How does Big Data Cloud work for insurance teams?
Big Data Cloud works for insurance teams as the engine behind a DeskFerry agent built around the workflows that actually consume your week.
- 01
Trigger fires
The agent reads context from Big Data Cloud and the other systems your insurance operation depends on, runs the routine work in the background, and surfaces only the cases that need a human decision.
- 02
For every new claim
AI moves, transforms, and loads data between your analytics platform and operational tools — keeping dashboards current without manual effort.
- 03
Data Cloud acknowledge receipt
Teams typically see faster claims resolution once the agent is in production.
- 04
Request the right documents
Setup is no-code, every action is auditable, and the agent is scoped to the rules your insurance team defines — not a generic template applied to your business.
- 05
You approve
Anything under your confidence bar waits for a human.
How you tell it what to do
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.
- 1For every new claim
- 2Data Cloud acknowledge receipt
- 3Request the right documents
- 4Assign to the matching adjuster
How it connects
Connect Big Data Cloud. The agent does the rest.
Claude and ChatGPT are already running on our side. You connect Big Data Cloud with one click, and insurance runs inside it.
Claude and ChatGPT run on our keys. Nothing for you to configure.
- Big Data CloudConnect
Runs on your data, in your apps.
Nothing to deploy. Nothing to maintain.
Actions
What Big Data Cloud + DeskFerry can do
Real Big Data Cloud actions your AI agent can perform automatically — no manual work required.
Pull report data
Extract metrics, dimensions, and time-series data from Big Data Cloud dashboards for use in downstream workflows.
Schedule automated reports
Generate and distribute periodic reports from Big Data Cloud to stakeholders via email or messaging channels.
Monitor KPI thresholds
Watch key metrics in Big Data Cloud and trigger alerts when values cross defined thresholds or show anomalies.
Combine data sources
Merge datasets from Big Data Cloud with other analytics platforms to build unified cross-channel views.
Generate narrative summaries
AI interprets charts and tables from Big Data Cloud and produces plain-language summaries of trends and outliers.
Create custom dashboards
Build tailored dashboard views in Big Data Cloud by selecting metrics, filters, and visualization types programmatically.
Export data snapshots
Capture point-in-time data exports from Big Data Cloud and store them for historical comparison and audit trails.
Forecast trends
Apply predictive models to historical data from Big Data Cloud and surface projected values for planning and budgeting.
Claim CL-44821 received · adjuster Marisa Lim assigned
We received your auto claim from this morning's accident on I-90. Claim number CL-44821 has been opened and assigned to Marisa Lim (direct: 555-0192).
Personalized using LinkedIn activity from the last 30 days.
Human in the loop
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.
Governance
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.
- Marco11:42 AM
Approved the draft to e.shaw@homemail.com.
- Agent11:41 AM
Drafted the email and queued it for review.
Reason: High-confidence personalization but recipient is C-level — escalating per policy.
- Agent11:40 AM
Pulled LinkedIn activity and HubSpot deal context.
- Agent11:40 AM
Triggered: For every new claim, have @Big Data Cloud acknowledge receipt, request the right
- Agent11:38 AM
Confirmed sender domain DKIM is healthy.
How it works
Get started in three steps
Step 01
Connect Big Data Cloud
Link Big Data Cloud to DeskFerry and your data pipelines start syncing within seconds.
Step 02
Define Data Workflows
Choose which Big Data Cloud datasets, reports, or dashboards trigger AI actions — and configure transforms and delivery rules. For insurance teams, this typically means routing workflows from tools like AMS360 alongside Big Data Cloud.
Step 03
Automate Insights Delivery
AI processes your Big Data Cloud data on schedule, surfaces anomalies, and distributes reports to stakeholders automatically.
Start automating Insurance for Big Data Cloud
7-day free trial. Works with the tools you already use.
FAQ
Frequently asked questions
What insurance workflows can I automate using Big Data Cloud and DeskFerry?
You can automate the full range of insurance 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 insurance data stays centralized.
How quickly will my insurance business see results from Big Data Cloud automation?
Most insurance businesses see measurable time savings within the first week of connecting Big Data Cloud. The AI agent starts processing insurance tasks the moment you activate the Big Data Cloud integration — no training period or warm-up required.
How does DeskFerry keep insurance data secure when using Big Data Cloud?
All data exchanged between Big Data Cloud and DeskFerry during insurance processing is encrypted in transit and at rest. We use OAuth for Big Data Cloud access, maintain complete audit trails, and follow enterprise-grade security practices for insurance compliance.
Can I connect Big Data Cloud with other tools in my insurance tech stack?
Yes. DeskFerry supports 1,500+ integrations, so your insurance workflows can span Big Data Cloud and every other tool in your stack. A single automation can pull insurance data from Big Data Cloud, process it, and push results to CRMs, databases, or communication platforms.
How does Big Data Cloud with DeskFerry help Insurance teams handle fnol and claims triage that takes days when minutes matter?
DeskFerry uses Big Data Cloud as a structured surface for the operational work behind fnol and claims triage that takes days when minutes matter. Instead of your insurance 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.
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