The number-one fear in core insurance projects is a multi-year programme that overruns and never goes live. Our delivery model is built to prevent exactly that: incremental releases, parallel-run migration, automated testing, and a governance structure where responsibilities are never ambiguous.
Initiation & planning. Project setup, governance, environments, and a shared backlog. A dedicated project space is established in Jira and Confluence.
Requirements & analysis. Daily interaction during the design phase so the evolving blueprint stays aligned with business expectations.
System design & architecture. Solution design, integration map, and the configuration foundation for each product.
Development & configuration. Most product setup — coverages, premium rules, processes, UI — is configurable without code; custom development is reserved for integrations and printouts.
Integration & data migration. Parallel-run approach with reconciliation before cut-over (detailed below).
Testing & QA. Unit, integration, and smoke tests, plus regression suites built into the delivery pipeline and run automatically on every release.
Training & change management. Business and technical enablement, user documentation, and go-live readiness.
Deployment & go-live. Controlled cut-over with rollback paths and on-site/remote go-live support.
Post-implementation & support. Hypercare, SLA-backed support, and a predictable release roadmap.
We deliver in small biweekly increments using feature switches. Work that needs longer acceptance testing never blocks everything else from shipping — production can move at the same cadence, safely.
The new system runs alongside the old one until the numbers reconcile. Cut-over happens only when the data and business logic are proven — not on a hopeful date.
Automated regression tests run on every release in the delivery pipeline, so each upgrade doesn't trigger an expensive full re-test by the business.
Containerized delivery (Docker on Kubernetes) means most upgrades are zero-downtime. A single, always-current release — no unpatched legacy versions running in a corner.
You don't have to commit to the whole programme up front. We can start with a bounded pilot — one line of business or one process — at a fixed scope and fixed price, so you see real results on your data before scaling.
We typically migrate CRM and customer data first, establishing a clean foundation in the new system before touching policy and claims history.
Existing policies and claims stay in the old system until they expire or settle; only new business is created in the new system. Lowest migration risk, gradual transition.
Active policies are migrated and new claims are registered in the new system. Faster consolidation onto one platform, with reconciliation before cut-over.
Business, IT and supplier work together daily. We favour direct, synchronous communication — calls and messaging over email — especially during design.
Every work item lives in Jira. Status, decisions, open questions and next actions are traceable; system documentation and solution descriptions are maintained in Confluence.
Weekly or biweekly status with a fixed stakeholder group. Business and IT representatives plus an account manager and product owner provide governance and priority decisions.
A documented RACI. Responsibilities are split explicitly between your team and ours across every stage — initiation through post-go-live support — so nothing falls between the chairs.
Active risk management. Risks are surfaced and managed in the status cadence, not discovered at go-live.
Release notes for every release. Each release ships with a Jira issue, full release notes, instructions and a list of resolved items.
A focused core go-live typically takes about 6 to 10 months: delivery to a test environment within the first few months, a pilot period for adjustments, and full operation thereafter. Scope and the number of products drive the exact timeline.
We deliver in small biweekly increments behind feature switches, run automated regression tests in the delivery pipeline, run the old and new systems in parallel until reconciliation, and keep a single up-to-date release. Most upgrades are zero-downtime.
We typically migrate CRM data, then handle policies and claims by either running them in the legacy system until they expire while new business starts in the new system, or migrating policies with new claims registered in the new system. The approach is chosen per migration scope.
How long does a core insurance implementation take?
How do you avoid a failed multi-year core project?
What does the RACI split look like between us and Proof IT?