Clean, trusted data – without the manual work
Slipflow automatically ingests, validates, standardises, and moves structured data between systems – eliminating manual fixes, rework, and delays.
Ingest → Standardise → Deliver
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Structured data shouldn’t slow your business down.
Most insurance and financial services organisations move structured data between systems every day – policy data, bordereaux, accounting feeds, regulatory reports. But when that data doesn’t line up, teams fall back to spreadsheets, manual checks, and rework.
SlipFlow removes that friction by automatically validating, standardising, and translating structured data before it reaches downstream systems.
Eliminate manual rework
Catch data issues early and automatically – before they trigger delays, fixes, or exceptions downstream.
Improve trust in your data
Ensure consistent, validated data across systems, teams, and partners – without relying on human intervention.
Move faster with confidence
Reduce processing time, operational risk, and dependency on fragile manual processes.
Currently in private build with early access partners.
Created with insurance data realities in mind – not retrofitted from generic data tooling
Built for insurance data flows – not generic pipelines
SlipFlow is designed for organisations that move structured insurance data between multiple systems, where accuracy, consistency, and timeliness matter. It supports operational teams dealing with high-volume, repeatable data flows across partners, platforms, and processes.
Insurers and Reinsurers
Operational and finance teams handling policy, claims, bordereaux, accounting, and regulatory data across core systems and external partners.
MGAs and Coverholders
Teams managing delegated authority data where consistency, validation, and downstream acceptance are critical.
Brokers and Intermediaries
Organisations translating data between carriers, markets, and internal platforms – often across inconsistent formats and requirements.
InsurTech and Platforms
Software providers and platforms that need reliable, standardised data feeds into underwriting, finance, and reporting systems.
How Slipflow works
SlipFlow sits between your data sources and your downstream systems – ensuring structured data is clean, consistent, and trusted before it moves on.
Ingest from multiple sources
Accept structured data from upstream systems, partners, and files – without forcing changes to existing processes.
Validate and standardise automatically
Data is checked, aligned, and translated against consistent rules – catching issues before they cause downstream problems.
Deliver clean data downstream
Trusted, standardised data is passed into core platforms, finance systems, or reporting tools – ready to use.
Modern systems deserve better data foundations
Slipflow was created for organisations that already have core systems in place, but still lose time, trust, and momentum when data moves between them.
Instead of forcing teams to fix issues downstream, Slipflow focuses on preventing them upstream, by validating, standardising and translating structured data before it creates operational drag.
The result is cleaner data, fewer exceptions, and systems that work together the way they were meant to.
- Designed for real-world complexity – SlipFlow works with the formats, partners, and constraints you already have – not idealised greenfield models.
- Preventative by design – Issues are caught before they reach policy systems, finance platforms, or regulatory processes.
- Invisible when it’s working – SlipFlow doesn’t add friction or overhead – it removes it.