Real data problems.
Proven data flows.
Slipflow is built around the data workflows that regulated industries actually deal with - not generic import tools retrofitted to insurance.
Where Slipflow goes deep first
Insurance data is complex, high-stakes, and arrives from sources you don't control. These are the workflows Slipflow is purpose-built for.
Bordereaux Processing
For insurers, reinsurers, and MGAs receiving delegated authority data from coverholders
Monthly bordereaux from dozens of coverholders arrive in different formats, with different column names, different date formats, and different conventions. Your ops team spends days reformatting before your systems can accept them.
Coverholder emails bordereaux as CSV or Excel - no change to their process
Slipflow maps columns to your Lloyd's or internal template automatically
Validates inception dates against binder periods, premiums against expected allocations, and checks for duplicate UMRs
Clean rows delivered to policy admin. Exception rows returned to coverholder with clear failure reasons.
Aggregate individual submissions into a consolidated bordereau across all coverholders - on schedule or on demand.
Claims Data Processing
For insurers and TPAs receiving claims data from multiple sources in inconsistent formats
Claims data arrives from TPAs, loss adjusters, and direct sources - each with their own format and field conventions. Bad data reaching your claims system means delayed settlements, incorrect reserves, and audit exposure.
Claims files received via SFTP or email from TPAs and loss adjusters
Cross-referenced against policy data - claim references validated, coverage dates checked
Reserve amounts reconciled, duplicate claims detected, status codes normalised
Clean claims data delivered to your claims management system with full audit trail
Partner Data Onboarding
For insurers, MGAs, and platforms onboarding new coverholders, brokers, or data partners
Onboarding a new data partner typically means weeks of back-and-forth getting their data into a format your systems accept. Slipflow compresses that to days - without requiring the partner to change anything.
New partner sends a sample file - whatever format they use
Slipflow maps their structure to your target schema, Slipflow team configures validation rules
Partner confirmed and live - their subsequent files processed automatically
Exceptions returned to partner automatically, clean data to your systems
The same problems exist beyond insurance
Wherever structured data moves between organisations in regulated environments, the same manual fixing happens. Slipflow's approach works across financial services and healthcare too.
Financial Services
Counterparty data, regulatory reporting feeds, reconciliation files across inconsistent formats from multiple sources.
Healthcare
Patient records, clinical data exchanges, third-party extracts requiring consistent validation and audit-ready outputs.
Coming soon
Slipflow is insurance-first today. If you're in financial services or healthcare, book a demo and we'll be in touch.
Dealing with one of these problems?
Tell us about your data flows and we'll show you how Slipflow handles them specifically.
Book a discovery call