Data & Analytics Use Cases

Data & Analytics
on Vertex AI

AI agents that unlock the intelligence in your data — from BigQuery natural language queries to Document AI extraction pipelines and enterprise knowledge search on Google Cloud.

How data and analytics agents on Vertex AI work

Most organisations hold more useful information than their teams can reach. These three agents make it accessible: business users can query a warehouse in plain English, documents become structured data, and internal knowledge becomes searchable.

The BigQuery Intelligent Agent turns natural-language questions into SQL over your BigQuery warehouse using Gemini, so analysts spend less time on ad-hoc requests. The Document AI Pipeline uses Google Cloud Document AI and Gemini to extract and classify invoices, contracts, forms and unstructured documents. The Enterprise Search Agent uses Vertex AI Search to give employees one place to find policies, procedures and product information across internal systems.

All three typically take 3 weeks to reach production.

Which data agent fits which problem

AgentProblem it addressesWorks overMain Google Cloud servicesTypical delivery
BigQuery Intelligent AgentAnalysts field a steady stream of ad-hoc query requestsYour BigQuery data warehouseGemini, BigQuery3 weeks
Document AI PipelineDocument review queues delay approvals and invoicingInvoices, contracts, forms and unstructured documentsDocument AI, Gemini, Cloud Storage3 weeks
Enterprise Search AgentEmployees spend hours searching fragmented internal sourcesInternal documents, wikis and data sourcesVertex AI Search, Document AI, Cloud Storage, Gemini3 weeks

Frequently asked questions

Do business users need to know SQL?

No. The BigQuery agent takes questions in plain English and writes the query.

Can the document pipeline handle our document types?

It is built for invoices, contracts, forms and unstructured documents. We confirm your specific types and fields during scoping.

What does enterprise search connect to?

Internal documents, wikis and data sources, indexed through Vertex AI Search. We agree the sources on the scoping call.

Do we need our data in BigQuery first?

The BigQuery agent works over BigQuery, so the data needs to be there. The search and document agents work from your files and repositories.

How is the work priced?

Each agent is delivered as a fixed-price build, scoped on a 30-minute call.

Ready to make your data intelligent?

Book a 30-minute scoping call. We will identify the right data agent use case and give you a fixed-price delivery plan.

Vertex AI Data & Analytics Agents | Kovil AI