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SwiftCase

Workflow automation for UK service businesses. Created in the UK.

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The screenshots on this page are SwiftCase's own screens, filled with made-up firms, cases and people, so no client's data is on show.

© 2026 SwiftCase. All rights reserved.

  1. Home
  2. Platform
  3. Data Model

39fieldtypes.
Yourdata,structuredproperly.

Not another flat table pretending to be a database. Real data structures with nested forms, relationships, validation, and complete audit trails. Your single source of truth.

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39
Field Types
Every data type you need
100%
Audited
Complete change history
Field
Level History
What each value was before

The Problem

Spreadsheets aren't a database

But you're using them like one. Here's what a proper data model gives you.

✗

Spreadsheets that anyone can edit incorrectly

Validation rules that enforce data quality

✗

Flat data that can't represent real-world complexity

Nested structures that match how you think

✗

No history of who changed what

Complete audit trail on every field

✗

Data scattered across multiple systems

One system of record for everything

Screenshots

The questions change with the work

A fire risk assessment records the premises, an ECG brings its own measurements and a carbon engagement collects a year of the client's activity data. Your admin sets out the fields for each kind of case.

The sun and moon switch a screen between light and dark, and a click opens it full size.

See all 77 screens in the product tour
Each assessment records the premises in the same order, so nothing gets missed on site.Larkhythe Fire Safety, fire risk assessment
Open a recording and the figures are already in, with anything urgent at the top.Linnetfield Cardiac Diagnostics, ambulatory ECG reporting
The client's activity data arrives checked against comparable footprints.Irkfield Carbon, carbon footprint reporting
Your own admin lays out each record's page, dragging the questions where they belong.

39 Field Types

Every data type you need

From simple text to complex nested structures. If you need to store it, there's a field type for it.

Text & Content

Short Text
Single-line text input
Long Text
Multi-line text areas
Rich Text
Formatted content with HTML
Email
Validated email addresses
Phone
Phone number formatting
URL
Web addresses with validation

Numbers & Calculations

Number
Integer values
Decimal
Floating point precision
Currency
Money with formatting
Percentage
Rates and ratios
Calculated
Formulas from other fields
Auto-Number
Sequential reference codes

Date & Time

Date
Calendar date picker
Time
Time selection
Date/Time
Combined timestamps
Duration
Time spans in hours/minutes

Selection & Choice

Dropdown
Single select from options
Multi-Select
Choose multiple values
Checkbox
Boolean yes/no
Radio Buttons
Visual single selection
Colour Picker
Visual colour selection

Relationships & References

User Lookup
Reference to CRM contacts
Org Lookup
Reference to organisations
Task Reference
Link to other records
Parent/Child
Hierarchical relationships

Files & Media

File Upload
Any document type
Image
Photos and graphics
Signature
Digital signature capture
Document Set
Grouped file collections

Location & Address

Address
Structured address fields
Postcode
UK postcode lookup
Coordinates
Latitude/longitude
What3Words
Precise location reference

Advanced

Schema Form
Nested data structures
Dynamic Collection
Repeatable field groups
JSON
Structured data storage
Protected
Read-only for compliance

Beyond Basic Fields

Structure that matches reality

Schema Forms

Complex nested data without complexity. Build forms within forms - insurance policies with multiple vehicles, legal matters with multiple parties. No coding required.

Dynamic Collections

Repeatable field groups that expand as needed. Add another line item, another contact, another phase. The form adapts to the data, not the other way around.

Relationship Types

Parent-child hierarchies. Cross-references between records. Lookup fields that pull data from related entities. Your data model, properly connected.

Complete Audit Trail

Every change logged. Who changed what, when, and what it was before. Full field-level history for compliance, disputes, and sanity checking.

Validation Rules

Required fields. Format validation. Conditional logic. Custom rules that prevent bad data before it enters the system.

Conditional Logic

Show or hide fields based on other values. A vehicle claim shows different fields than a property claim. The form adapts automatically.

Schema Forms

Complex data made simple

An insurance claim might have multiple vehicles, each with their own details. A legal matter might have multiple parties. A project might have multiple phases. Schema forms handle this without complexity.

  • Nested structures that mirror real-world data
  • Add/remove items dynamically
  • Validation at every level
  • Full audit trail on nested changes
  • Works with workflows and documents

Complete Audit Trail

Every change. Every field. Every time.

When compliance asks "who changed this and when?" - you have the answer. Field-level history on every record. Who, what, when, and what it was before.

Explore Platform

See how your data would be structured

Bring your spreadsheets. We'll show you what a proper data model looks like - and how much easier it makes everything else.

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