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AI data prep for messy customer files.

Detect issues, suggest fixes, and turn spreadsheets into reviewed data your launch team can trust.

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Prepare data before it blocks launch

Aformity keeps AI suggestions tied to source rows, schema rules, and the approval path your team already follows.

Map fields to the right destination schema

Aformity reads source files, identifies likely columns, and proposes mappings your team can accept, adjust, or reuse for the next customer.

App / Source / Transform

Source transformation

Preview

Transformation rules

AI suggestions stay attached to source fields.

2 to review
company_name Account.name trim + title case Accepted
owner_email Team.owner match user by email Review
plan_start Contract.starts_at parse date Accepted
legacy_id External reference preserve Queued
4 mappings accepted
1 owner needed
2 reusable rules

Catch malformed records before import

Validation checks flag missing fields, duplicates, bad formats, and inconsistent values while the customer still has context to fix them.

App / Source / Validation

Validation preview

Preview
# CompanyBilling emailPlanStart date
18 Northline Required Scale 2026-06-12
42 Kestrel Labs admin@kestrel.io Growth 2026-06-19
77 Marrow CRM ops@marrow.app Team 19/06/26
91 Luma Health billing@luma.co Enterprise 2026-06-21
104 Peakdesk finance@peakdesk.io Scale 2026-06-24
118 AtlasCare Required Enterprise 2026-06-28
133 Brightpath ops@brightpath.co Growth 2026-07-02
149 CivicLoop launch@civicloop.app Team 07/05/26
162 Riverbank billing@riverbank.io Scale 2026-07-09

Turn fixes into repeatable rules

Accepted transformations become part of the workflow, so the same data shape is handled consistently across future launches.

App / Templates

Template builder

Preview

B2B SaaS launch template

Source guide, checks, transformations, approval.

v4
1 Source guide CSV and XLSX accepted Locked
2 Validation rules 17 checks locked Locked
3 Transformations 5 editable functions Editable
4 Approval path Ops then customer Queued

AI data prep FAQs

Answers for implementation, migration, and customer success teams evaluating AI-assisted customer data onboarding.

AI data prep helps teams inspect customer files, suggest field mappings, identify malformed records, and prepare import-ready data before launch. Aformity keeps suggestions tied to source rows, validation rules, and review decisions so teams can approve changes with context.

No. Aformity uses AI to accelerate mapping, cleanup, and issue detection, but launch-critical decisions still move through visible review and approval steps. Teams can accept, adjust, reject, or reuse AI suggestions.

Aformity can help surface missing required fields, likely duplicates, inconsistent values, malformed formats, unmapped columns, and values that do not fit the destination schema. The goal is to find blockers before customer data reaches production.

AI data prep is useful for SaaS implementation teams, customer success teams, migration specialists, agencies, and operations teams that repeatedly receive messy customer spreadsheets or legacy exports before launch.

Prepare cleaner customer data.

Use AI-assisted review before customer files reach production systems.

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