Powered by Fovea — Infoveave's native GenAI engine

# AI-Powered Workflow Automation

Stop routing data through external AI APIs. Fovea runs inside your Infoveave workflows — write a prompt once, and it handles the processing on every scheduled run.

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No Python or code required

ISO 27001 · SOC 2 · HIPAA · GDPR compliant

Runs on every scheduled workflow cycle

## How AI Workflows Work

You write the prompt. Fovea does the rest.

01

### Connect your data source

Read from databases, files, APIs, or any Infoveave-connected source into the workflow.

02

### Add an AI activity

Drop a Summarize or Transform activity into the workflow canvas and write your prompt in plain English.

03

### Fovea generates and executes

Fovea reads your prompt, writes the code, and runs it across every row.

04

### Results flow downstream

The updated data feeds into dashboards, databases, or the next activity in your workflow.

## AI Workflow Activities

Two activities. Both drop into your existing workflows with no infrastructure changes.

### Summarize using Gen AI

Turn paragraphs into one-line insights. At scale. On a schedule.

Point it at any long text column — feedback, descriptions, notes — write a prompt, and get a clean summary column added on every run. The original column stays untouched.

Text column in → summary column out

Common use cases

* Summarise call centre transcripts for CX dashboards
* Condense product descriptions for catalogue exports
* Generate headline insights from survey open-text

[See how it works →](/platform/data-automation/transformations/summarize-with-ai)

### Transform using Gen AI

Describe the transformation in English. Fovea writes and runs the code.

Write the transformation rule in plain English. Fovea generates the code and runs it on every row. No Python environment, no script file to manage, no manual re-runs.

Natural language prompt in → transformed data out

Common use cases

* Fill missing salary values with the column average
* Classify transactions into expense categories from descriptions
* Standardise inconsistent date formats across merged datasets

[See how it works →](/platform/data-automation/transformations/transform-data-with-ai)

Powered by Fovea

## Fovea also works interactively

Same engine, different mode. When you want answers on the spot rather than on a schedule, Fovea works as a conversational assistant directly inside your Infoveave dashboards.

[Explore Fovea AI →](/platform/fovea-agentic-ai)

## AI Workflows by Industry

What teams are actually using AI workflows for, by industry.

### Retail & E-commerce

* Summarise 10,000 product reviews into sentiment tags for a pricing dashboard
* Auto-classify customer complaints into return / refund / delivery categories
* Generate short product descriptions for catalogue exports from long spec sheets

### Banking & Financial Services

* Classify transaction descriptions into expense categories for spend analytics
* Fill missing reference fields using AI inference from adjacent columns
* Summarise audit trail narratives for compliance reporting

### Manufacturing & Operations

* Summarise maintenance log notes into structured fault codes
* Extract part numbers and fault descriptions from free-text service records
* Standardise inconsistent supplier names across merged procurement datasets

## Frequently Asked Questions

##### What is AI workflow automation in Infoveave?

##### How is this different from using Fovea in conversational analytics?

##### Do I need to write Python or any code to use AI workflows?

##### What types of data can I process with AI workflows?

##### How does Infoveave compare to using ChatGPT or OpenAI directly on my data?

##### Can these AI workflow activities run on a schedule automatically?

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