Response365 Response365
Request a demo
Platform Go-to-Market CRM E-Commerce Marketplace Social Media Customer Service Call Center Purchasing Inventory Management Manufacturing Supply Chain Planning Warehouse Management Logistics Export Planner Global Trade Compliance Booking System Project Management Asset Management Staff Leasing IT Service Management Knowledge Base Forms & Surveys Profitability Monitor Enterprise Consolidation Contract Management Personal Finance Business Intelligence Predictive Analytics AI Onboarding Integrations Website Builder Learning Management Label Design Food Production Food Security Food Trade Food Regulatory Waste & ESG Compliance Suite Real Estate Publishing Pricing Request a demo
AI Onboarding

Onboard your data in days, not months

An AI-assisted wizard that imports your existing spreadsheets, exports and legacy extracts, maps every column to the right destination field, and lets you validate the set before it lands. Pairs with Integrations, lands data into CRM, and feeds BI on day one.

Request a demo See the wizard
AI field mapping · confidence scoring · validation preview · one flow, every module
app.response365.ai · Onboarding · Customer import
Import wizard · Step 3 of 5 customers.csv · 4,812 rows
Source rows
4,812
Mapped fields
14/14
Avg confidence
94%
AI field mapping · confidence per column
company_name → Name4,812 of 4,812 matched
99%
contact_email → Emailformat check passed
99%
vat_id → VATreview 12 low-confidence rows
86%
Validation · 12 issues to reviewduplicates, missing VAT, format
Preview
AI-mapped fieldsconfidence per column
Validate before commitpreview, fix, then land
6
source connector families
0–100
field-mapping confidence
12
validation rule types
1
wizard, every module
The problem

Implementation is six months of spreadsheets and consultants

The system is ready on Monday. Then everyone waits — for the data. Customers in a Salesforce export, products in a legacy ERP, inventory in a stack of XLSX files a regional manager keeps emailing in versions of.

Someone writes a mapping doc. A consultant writes a script. Two months in, the first dry run blows up on a date format. Response365 makes that an afternoon in the wizard — the AI proposes the mapping, you review the low-confidence columns, and the validation set tells you what to fix before anything commits.

CSV exportsfive formats, four owners
Spreadsheetsmerged cells, hidden tabs
Legacy ERPnightly extract, odd encodings
Mapping doca 40-tab workbook
Migration scriptwritten once, runs twice
Six monthsbefore anyone logs in
Why it's different

An onboarding flow, not a migration project

Bring your data, not just your hopes

Upload the export you have today — CSV, XLSX, JSON, or a direct pull from a legacy system. The wizard reads the headers, the sample rows, and the data types before you do anything.

Field mapping that learns

The AI proposes a destination field for every column, with a confidence score. You correct the misses; the next import for the same source remembers what you taught it.

Validate before you commit

The preview surfaces every issue — duplicates, missing requireds, format mismatches, broken references — and lets you fix in place. Nothing lands in production until you say so.

One flow, every module

From upload to live record — five steps, one wizard

The same flow imports customers, products, inventory, contacts and contracts. Onboarding teams learn it once.

1
Upload

Drop a CSV or XLSX, paste a JSON, or connect a source. The wizard fingerprints headers and sample rows.

2
Detect

The AI proposes a target module and the destination fields for every column, with confidence per column.

3
Map

Review the proposals — accept high-confidence matches in bulk, correct the low-confidence ones, save the template.

4
Validate

The preview runs every validation rule and lists issues by severity — fix in place, re-run, keep going.

5
Commit

Land the set in production with a transaction ID. Rollback is one click while the import is fresh. nothing commits until you do

Field mapping

Confidence per column, not blind transformation

Every column gets a proposed target and a score. You see what the AI is certain about and what it isn't — before a single row lands.

  • Header + sample inferencecolumn name, sample values and data type all feed the proposal
  • Confidence scoring0–100 per column, with the alternatives the model considered
  • Templates that learnsave a corrected mapping; the next import from that source uses it
  • Transformations inlinecase, trim, split, date format and unit conversion, configured per field
company_name → Nameexact header match
99%
contact_email → Emailformat and sample agree
99%
vat_id → VATreview the 12 rows below threshold
86%
Template savednext CRM export auto-maps
Learned
Validation

Preview the import set before it lands in production

A staging table you can read, filter and fix — with every issue surfaced, classified and counted.

  • Twelve rule typesrequired, format, range, enum, regex, unique, reference, dependency, duplicate, date, currency, custom
  • Severity by issueblocker, warning, info — only blockers stop the commit
  • Fix in placeedit cells in the preview, re-run validation, no re-upload
  • Transactional commitone ID covers the batch; rollback while the import is fresh
3 blockersmissing required VAT on EU rows
Stop
6 warningslikely duplicates, fuzzy name match
Review
3 infodates auto-converted to ISO
Note
Commit · 4,803 rowstransaction · rollback ready
Ready
Sources & targets

Six source families, every core module as a target

Files & spreadsheets

CSV, XLSX, JSON and TSV — drag-and-drop, paste, or upload from a URL. The wizard reads multi-sheet workbooks and lets you pick the tab, then samples the first rows to infer types before you touch a single mapping.

Legacy systems & APIs

Pull from a legacy ERP, accounting package or CRM through the Integrations layer — the same wizard maps and validates the result, and a scheduled pull can run the same template again on the next cut-over weekend.

Every core module

Customers and contacts into CRM. Products and inventory into the catalogue and warehouse. Suppliers into Purchasing, contracts into Contract Management, and historical sales into the dashboards that feed BI on day one.

Audit & rollback

Every import is a transaction with a name and a switch

The wizard isn't only the first day. It's the same flow operations runs every time a regional spreadsheet refresh comes in — and every commit is traceable.

  • Import ledgerevery import has an ID, an owner, a row count and the template it used
  • One-click rollbackwhile the import is fresh, undo the whole batch — the platform reverses every row
  • Field-level lineageeach imported value carries the source file, row and column it came from
  • Re-runnable templatesthe same template runs against a new file with one click — no re-mapping
Import #2118 · customers4,803 rows · template v3
Logged
Rollback availablefor 24h after commit
Reversible
Lineage on every cellfile · row · column
Traceable
Re-run templatemonthly supplier refresh
Scheduled
Build vs buy

The absence of the implementation tax

CapabilityWorkatoFlatfileResponse365 AI Onboarding
AI field mapping with confidenceLimitedYesYes — score per column
Validation preview before commitRecipe-sideYesYes — 12 rule types
Templates that learn from correctionsRecipe versionsYesYes — per source
Targets every core ERP moduleVia connectorsNoYes — native
Transactional commit + rollbackWorkflow-levelJob-levelYes — per import
Inline cell editing in previewNoYesYes
Integrations layer for live pullsYesLimitedYes — shared with platform
One wizard across modulesBuild per recipeEmbed per workspaceYes — same flow
CostPer-recipe + connectorsPer-seat + usageIncluded in Response365
The business case

What this means in euros

The conservative annual case for a mid-market implementation moving off legacy systems.

€40–90k
Cut implementation weeks

Replace a multi-month migration project with a wizard the in-house team runs. Consultant days collapse to a fraction.

€25–55k
Recover admin time

One operations lead, hours a week no longer spent reconciling spreadsheets, rewriting mappings and re-running scripts.

€20–45k
Reduce data errors

Validation rules catch bad VAT IDs, broken references and duplicates before they land — not after they corrupt the first month of operations.

€85–190krecoverable in year one

Before counting the value of going live in days, not months — and the reduction in implementation risk on every subsequent module rollout.

From upload to live record, in an afternoon

Let us show you in seven minutes how a customer export becomes a mapped, validated and committed set of records — with confidence scores you can read and a preview you can fix in place.

Request a demo Explore Integrations