Turn every import into a reusable template

Migrate any client's data in minutes
and never rebuild it again.

An AI workbench for vertical-SaaS implementation teams. Map, transform, and validate each file in plain English, then save the mapping as a template. The next client off the same system is already mapped, and the AI gets smarter each time.

Try risk-free for 30 days, get started with a personalized walkthrough
www.dataflowmapper.com
DataFlowMapper Interface
§ 01Capacity

An asset, not a one-off

Run a four-person team like it’s seven.

Save each mapping as a reusable template, while the AI learns more with each migration. Capacity compounds with every customer onboarded.

Customer
Gym Launch
Blaine Roberts
Director of Partnerships
Read the case study
Without this, we couldn’t have migrated them. We didn’t have the bandwidth, the tooling, or the resources. In a couple hours we had a repeatable template running their data exactly how we needed.
Velocity
2–3×

more client go-lives
per implementation rep

Engineering load
Zero

engineering work to
onboard the next client

Asset growth
+1/run

reusable template added
with every onboarding

§ 02Autonomy

Two paths

Delegate it,
or drive it.

Hand the data to the autonomous pipeline, or steer an AI copilot at the level of autonomy you choose. Anywhere from auto-approve to off. Every onboarding produces the same editable template, in your library, yours to keep.

manualautonomous
01Drive it

AI copilot.

A goal in plain English, or your hands on the wheel. The copilot navigates and executes any feature in the app, at the permission level you set. Auto, per-step, or off.

You drive·Python escape hatch for edges
app.dataflowmapper.com/mapping
DataFlowMapper AI Copilot approval flow
Autonomy
manualper-step
You have the wheel
02Hand it off

Autonomous pipeline.

Source files in, editable template out. The agent maps, transforms, validates, and self-corrects across cycles, flagging review items as it goes.

Runs in the background·You approve the output
app.dataflowmapper.com/pipeline
DataFlowMapper autonomous pipeline running
Runningcycle 3 of 4
AssetEditable template
§ 03Workbench

One surface, end to end

Drop into the workbench, any time.

Map, validate, enrich, remember. The agent works in the same surface you do, so you can take any step yourself, audit what it produced, or build a template from scratch.

01·Map

Map any client’s schema, visually.

One card per field: source, destination, logic, validations. AI is the operator, not the engine, so hundreds of thousands of rows run the same as a few thousand.

AI-assistedDrag & drop
mapping editor
12 of 14 mapped
Mapping a source column to a destination field
team knowledge
Team knowledge panel: captured entries for one source and destination, each showing who captured it and when, including an entry attributed to the AI on behalf of a user and a retired entry with its reason
02·Knowledge

The system of record for your migrations.

As your team works, the AI picks up the system requirements, nuances, and gotchas that would otherwise live in one person's head, so each migration is easier than the last.

Team-wideAuditedSearchable
validation
3 errors
Validation grid with inline errors: an invalid email, an invalid country code, and a negative amount
03·Validate

Catch errors before they ship.

The same visual builder defines validations. Inline errors on the row, downloadable error reports, never a surprise at load time.

Inline errorsCustom rules
04·Enrich

Enrich from any source.

One file in, one file out isn't enough for real onboardings. Pull from other files, reference tables, APIs, or databases. Join across files, fetch missing fields, and cross-reference codes, all in the same mapping.

Local lookupsAPI callsDatabase joins
reference tables
Enrichment lookup: match CustomerRef to AccountID and Country to Region, returning the Owner field
Plus transformation, templates, AI agents, integrations, and more…

FOR SECURITY FIRST TEAMS

Scale securely with confidence.

Our architecture is designed to minimize liability and risk. Client data is securely stored for 24 hours to facilitate large file operations, then permanently deleted.

SupabaseSOC2 Infra
OpenAIZero-Training
Microsoft DefenderEncrypted

FAQs

Frequently Asked Questions

If we didn't cover yours, the docs and our team can.

Run your next onboarding
on the workbench.

Try Risk-Free for 30 Days

Full Access for 30 Days

Try DataFlowMapper for 30 days. If it's not the right fit, we'll refund you, no questions asked.

1-on-1 Onboarding & Support

Tailored setup so the workbench fits your team’s onboarding workflow.

Live in Your First Week

Build your first template on day one. By week one, real client files are running through it.

AI workbench for client data onboarding. Built for implementation teams at vertical SaaS.

Book Walkthrough

Newsletter

Get the latest updates on product features and implementation best practices.

© 2026 DataFlowMapper. All rights reserved.

DataFlowMapper: AI Workbench for Client Data Onboarding