Seven reasons Spindle is built for core modernisation.
Why a legacy estate moves onto Spindle safely, and stays modern afterwards.
Seven reasons
A mature core, modernised
Over twenty years of product heritage on a headless, API-first, containerised backbone.
The core flexes to you
Your products and rules configured one to one, not forced into predefined buckets.
Rationalise the model, not the products
Core products hold the rules once; plans hold only what differs.
Start from a finished platform
Integration, BPM, CRM, content, reporting and security already running.
Co-existence designed in
Migrate in waves, never a big bang. One administering system per policy.
Governed data engineering
A migration engine that reconciles positions, and becomes the archive.
Economics follow the migration
The subscription builds as books land; legacy cost falls as cores retire.
Modernise in controlled steps, not a single high-risk cutover.
Most modernisations fail because the new system forces the business to fit a rigid core. Spindle reverses that: the core flexes to your products, the platform arrives finished, and books move one wave at a time.
- Every wave rehearsed, reconciled and accepted before cutover
- Each cutover small and reversible
- Value released wave by wave, not at the end
Migrate in waves, co-existing and de-risking every step.
Channels and processes consume canonical APIs that don't change for the life of the programme. Beneath them, products are re-pointed from legacy to Spindle PAS wave by wave, and each legacy core retires when its last book has moved.
Every plan you sold is a promise. Spindle keeps them all, more efficiently.
On older systems product rules were embedded in each plan, so every rate change, benefit option or regulatory update had to be repeated across hundreds of near-identical products. Spindle analyses your plans, designs a product model that supports all of them, and parameterises what makes each one different.
Today: every plan carries every rule
Spindle: one core product, parameterised plans
All existing plans accommodated one to one. No forced product rationalisation.
Rationalise the product model, not the products.
Core products hold the rules once and plans hold only what differs. Inheritance, effective dating and versioning let every in-force plan be accommodated one to one and run correctly to run-off, while downstream ledger mapping, letters and reporting stay undisturbed.
PLANS · ONLY WHAT DIFFERS
PRODUCT PARAMETERS
CORE PRODUCTS
PRODUCT PARAMETERS
Parameterised components are managed in one place and can be changed once for every plan, or overridden for one. Product rationalisation becomes a business choice you make, not a technical prerequisite.
A proven approach, tailored to every estate.
Every migration is different because source systems, target design and requirements are always different. The approach follows a defined set of activities, arranged to fit each programme's business, systems and technical needs.
Agree the target architecture, data boundaries and governance for the migration.
Shape the quality, testing and cutover approach for this particular estate.
Understand the source data and map it to the target product model.
Stand up the migration engine early, so cleansing can start long before cutover.
Plan phased, reversible cutovers with rollback and change readiness.
Prove every position, with audit and business sign-off before acceptance.
Positions reconciled to the cent, not record counts.
Provisioned early in the programme so cleansing can start before cutover, and proven through repeated trial loads that build volume with every iteration. The engine gives full control where support from the source is limited, and becomes the archive that lets old platforms switch off.
Source systems
Policies, transactions and documents
DATA MIGRATION ENGINE
Target systems
Spindle PAS and connected systems
Content follows a similar path: documents stay at source while metadata is worked through, then move in bulk or as a trickle feed once the target is confirmed.
Every wave, the same discipline
Customers see no change. Downstream systems see no change.
See it working on your products.
A working demonstration within weeks; a defined first product in production within three to six months.