See the Transformation
Watch how our AI transforms messy, inconsistent data into clean, standardized records.
Before: Raw Data
| name | phone | address | company | start_date | |
|---|---|---|---|---|---|
| john.doe@email | John Doe | +1-555-123-4567 | 123 main st, NYC | Acme Corp. | 01/15/2024 |
| JANE SMITH | jane_s | (555) 987.6543 | 456 Oak Avenue, NY 10001 | acme | 2024-02-20 |
| bob123 | Robert Johnson | 5551112222 | 789 elm street | ACME CORPORATION | Feb 28, 2024 |
| alice@company.com | alice wonderland | N/A | 321 Pine Rd., Suite 100 | Acme corp | 03-15-24 |
| m.wilson | Mike W | 555.444.3333 | 654 maple, new york | acme-corp | 15/04/2024 |
... inconsistent names, phones, addresses, dates, company names
After: Clean Output
| full_name | phone | street | city | state | zip | company_id | start_date | |
|---|---|---|---|---|---|---|---|---|
| John Doe | john.doe@email.com | +15551234567 | 123 Main St | New York | NY | 10001 | ACME001 | 2024-01-15 |
| Jane Smith | jane.smith@email.com | +15559876543 | 456 Oak Ave | New York | NY | 10001 | ACME001 | 2024-02-20 |
| Robert Johnson | robert.j@email.com | +15551112222 | 789 Elm St | New York | NY | NULL | ACME001 | 2024-02-28 |
| Alice Wonderland | alice@company.com | NULL | 321 Pine Rd Ste 100 | New York | NY | NULL | ACME001 | 2024-03-15 |
| Michael Wilson | m.wilson@acme.com | +15554443333 | 654 Maple St | New York | NY | NULL | ACME001 | 2024-04-15 |
... standardized, validated, ready for ERP import
We Know Your Pain
Data cleanup is the hidden bottleneck in every ERP implementation.
Hours of Manual Work
Your team spends 40+ hours per client cleaning data in spreadsheets. That's time you'll never get back.
Inconsistent Formats
Phone numbers, addresses, dates — every client sends data in a different format. Standardizing it manually is error-prone.
Repeated Revisions
Import fails, data validation errors, client corrections — the back-and-forth never ends.
Team Bottleneck
Your best consultants are stuck doing data entry instead of high-value implementation work.
Template Confusion
Clients never follow your import templates correctly. You end up fixing their data anyway.
Quality Concerns
Bad data leads to bad implementations. You're always worried about what slipped through.
AI That Actually Understands
Not just pattern matching — real intelligence that adapts to your workflow.
Smart AI Processing
Our AI understands context, not just patterns. It recognizes names, addresses, phone numbers, and custom fields — mapping them to your exact template structure.
RAG-Powered Matching
Upload your template once. Our retrieval system learns the structure and automatically maps incoming data to the right fields, even with messy headers.
Confidence Scores
Every transformation comes with a confidence score. High confidence rows auto-approve; low confidence rows get flagged for your quick review.
Smart Suggestions
When the AI isn't sure, it suggests the most likely options ranked by probability. One click to approve or correct — no manual typing required.
Validation Rules
Define your ERP's validation requirements once. We check every field against your rules before output — catch errors before they reach your system.
Instant Export
Export clean data in exactly the format your ERP expects. CSV, Excel, JSON — whatever works for your workflow.
Four Steps to Clean Data
From messy client data to clean ERP import in minutes.
Share Your Template
Send us your ERP import template. We configure the system to match your exact requirements — done once, used for every client.
Upload Raw Data
Share the client's messy data file. Support for CSV, Excel, and most common formats — no matter how inconsistent.
AI Processes
Our AI analyzes each field, standardizes formats, and maps data to your template. Low-confidence items get flagged with smart suggestions.
Review & Export
Quickly review flagged items, approve suggestions, and get your perfectly formatted file ready for ERP import.
Frequently Asked Questions
What is Reflekt Lab's AI data onboarding service?
Reflekt Lab turns raw, inconsistent supplier and customer files — Excel, CSV, Word, PDF, and scanned documents — into clean, validated, import-ready data for any ERP or SaaS platform. We configure the system once to match your import template, then process every client file against it with domain-specific AI models and a human remediation guarantee.
Which file formats can you clean and import?
We handle the formats real suppliers actually send: Excel (.xlsx, .xls), CSV, JSON, Word documents, PDFs, and scanned documents. No matter how inconsistent the source, the output is a single standardized file mapped to your ERP's import template.
How much time does AI data cleanup save?
Teams typically save 80%+ of the time spent on manual data prep. About 95% of transformations are auto-approved with high confidence, client data is import-ready in minutes instead of days (around 10x faster onboarding), and validated data yields a ~99% first-import success rate.
How accurate is the AI, and what happens to data it isn't sure about?
Roughly 95% of fields are standardized and auto-approved automatically. The remaining low-confidence items are flagged with smart suggestions for a quick human review, so nothing wrong slips through. This human remediation step is guaranteed — you always get clean, validated data, not best-effort guesses.
Does this work with my existing ERP or SaaS system?
Yes. The pipeline is ERP-agnostic. During a one-time setup we configure it to match your exact import template and field requirements, so the cleaned output drops straight into the system you already use — no migration or platform change required.
How do you handle messy, real-world supplier data?
Our AI analyzes each field individually, standardizes formats and units, deduplicates records, and maps everything to your template. It is built for the messy reality of supplier files — mixed languages, inconsistent units, typos, and merged columns — turning thousands of unreliable rows into structured, import-ready data.
