Put Agents to Work on Your
Data Operations
Leave templates behind and describe the data format your systems need just once. AI agents build repeatable workflows that automatically map, transform, and validate every new customer file, regardless of source and format.

No layout to review and approve data in
Results can hallucinate and differ from run to run
General LLMs that know nothing about your work
What changed exists only in a chat history
Sensitive data often exposed to an LLM you don’t control
A spreadsheet-like interface for fast handling and approval
Rules you set once run on every file that arrives
AI that learns and adapts for every next task
Every change is logged for control and compliance
You decide how sensitive data is processed
Customer, supplier, and partner files arrive almost daily, in everything from messy CSVs and Excel sheets to PDFs, JSON, and XML. Tell Ingestro Data Flows what good data looks like for your system, and its AI agent builds a reusable workflow to map, validate, and clean every file. Your team only reviews exceptions before the approved data reaches its destination.
Your Target Data Model captures the fields, data types, and validation rules your system expects. Add where files come from and where processed data should go. Reuse the model across workflows, and publish changes when you’re ready.
Columns, required fields, rules, and validations in one model
Reusable connections to sources and destinations
Versioned changes with a full audit trail and logs
Start from a ready-made workflow or a blank canvas, then tell the agent what you need. It maps, validates, and cleans every file to match your model. Every step stays visible in the workflow builder, and you can adjust it yourself without writing code.
Ready-made or custom workflows
Visual, editable processing steps
Agent-assisted validations and transformations
Drawing on hundreds of thousands of mapping decisions, Ingestro’s AI models help the agent map, validate, and clean incoming files according to your rules. It flags issues for review, suggests fixes, and lets you reuse corrections on future runs.
Start runs manually, on a schedule, or from an API call
Review flagged issues and approve the suggested fixes
Your cleaning decisions apply again on the next run
Security and data protection teams need clear answers on data residency, access, and AI usage. Ingestro provides them for every data flow you run.
Ingestro Data Flows is an AI platform for automating data operations at scale. Implementation, onboarding, delivery, and professional services teams use Ingestro Data Flows to turn complex files from customers, suppliers, and partners into clean, system-ready data. Agents automate the entire process, from mapping to validation to cleaning, replacing manual reformatting, macros, and scripts. Whether you’re onboarding customers or processing recurring files, you can handle data ingestion more easily and quickly with Ingestro’s agents.
Ingestro Data Flows supports Excel, CSV, JSON, XML, and other formats, including exports with stacked header rows, regional number and date formats, or multiple sheets.
Yes, you can automatically collect Excel, CSV, and other files through email, SFTP, APIs, or cloud storage. Ingestro’s agents process them using your existing workflows, so your team only needs to step in when something needs attention.
No, your team describes the desired outcome in plain language, and Ingestro’s AI agents build the workflow for them. You only review and confirm the cases the AI flags as unclear. Developers are needed only if you want custom steps or API connections.
Yes, every step the agents create appear in the visual workflow builder, so you can open, move, or edit any step before you commit.
Yes, a flow can start on a schedule, when an API call comes in, or when a file lands, for example, in your SFTP folder. They pause only when your team needs to review or make a decision.
Yes, many customers can share a workflow and/or Target Data Model, each with their own input.
New file formats take minutes, not weeks. You define your target data structure once, and Ingestro’s AI agents instantly map, validate, and clean each new customer file to match it. Your team can onboard different file formats right away, without building a new workflow from scratch for every customer.
Yes, our agent maps changing column names, layouts, and formats to the target data model you've defined. When a partner changes their file, the flow shows you what changed, and one mapping or rule update is typically enough for the next run to pick it up.
The run pauses and notifies the owner, but anyone on the team can pick it up, with the full history in one place.
Yes, you can monitor your data flows, track individual runs, and see where errors occur, all in one place. You can also configure notifications when a file needs attention, allowing your team to resolve issues and resume processing without starting over.
For most data preparation tasks, Ingestro Data Flows lets you use agents to map, validate, and transform incoming data instead of maintaining Excel macros or Python scripts. Each run has a processing history, so your teams can track what happened, review validation errors, and resolve issues.
By default, your data is processed in Ingestro’s EU hosting, in line with European data protection requirements. For full control over security or data residency, you can also self-host Ingestro Data Flows on your own infrastructure.
See how easily you can turn your customer files into usable data with Ingestro Data Flows.