Insurance modernization demo

Modernize selected insurance workloads with operational control at the center.

Explore how to assess infrastructure for AWS, separate selected workflows from the core, and compare cost, continuity, and change options before committing to a migration wave.

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The operating problem

Our core insurance system blocks every change, and the infrastructure cost keeps growing.

Insurance capabilities

What the demo explores.

Infrastructure migration to AWS

Compare rehost, replatform, refactor, retain, and retire options for selected VMware, on-premises, and managed-datacenter workloads.

Core insurance system modernization

Modernize policy, billing, and claims cores by decomposing the parts that block product, with the contract layer your existing systems can still rely on.

Run-cost management

Compare compute, storage, license, support, and operations costs across current and candidate architectures.

AI workflow foundation

Map the data, compute, access, monitoring, and ownership needed for a selected AI or analytics workflow.

Assess

Inventory infrastructure, core systems, and connected workflows, then compare migration patterns for selected workloads.

Re-platform

Move infrastructure to AWS with rehost, replatform, refactor, or retire patterns.

Carve out workflows

Decompose policy, billing, and claims workflows around the core with a contract layer.

Operate and improve

Bring observability, FinOps, and continuous improvement into steady-state operations.

Run-rate visibility

Compare infrastructure, license, support, and operations cost for each modernization option.

Change cadence

Measure how independently a selected workflow can be tested and released.

AI workflow prerequisites

Identify the data, compute, monitoring, access, and ownership a priority AI workflow needs.

Operational stability

Test parallel operation, rollback, monitoring, and support before each migration decision.

Use cases to evaluate

Three workflows to put in front of your team.

Each use case starts with an operating problem, shows a candidate workflow, and identifies the outputs and measures your team can review in a pilot.

UC1

Infrastructure migration

"Our datacenter contract is up and the cost trajectory is unsustainable."

Carriers with imminent datacenter or VMware renewal cliffs.

What this demo shows

The demo inventories VMware, on-premises, and managed-datacenter workloads, scores migration options, and creates a wave plan with validation, cutover, rollback, and retirement decisions.

What a pilot includes

Discover workloads, classify candidates, select a pilot wave, and define validation, rollback, operations, and source-retirement criteria.

Example prompt or trigger

Assess our priority datacenter workloads for AWS and propose a pilot wave with cutover, rollback, and retirement criteria.

Example outputs

Workload inventoryWave planCutover runbookDecommission checklistRun-rate report

UC2

Core policy and claims modernization

"Every product change waits for a core release that lands once a quarter."

Carriers where the core blocks product, distribution, and operations from moving at the speed the market expects.

What this demo shows

The demo maps a selected policy, billing, or claims workflow, defines a service contract around the core, and shows how the separated workflow could be tested and changed.

What a pilot includes

Map workflows touching the core, design a contract layer, choose a pilot service, and compare its change process with the current release cycle.

Example prompt or trigger

Carve out our quoting workflow from the core so distribution can change pricing rules without a core release.

Example outputs

Workflow inventoryService contractCarved-out quoting serviceOperations dashboardChange cadence report

UC3

AI-ready modernized platform

"Our modernized stack still does not let us run the AI workflows the business wants."

Carriers where the next round of AI work is blocked by platform readiness.

What this demo shows

The demo maps the data access, compute, monitoring, identity, and review needs for one priority AI workflow against the candidate platform.

What a pilot includes

Pick the priority AI workflow, define the platform changes it needs, and stand up the supporting data and compute foundation.

Example prompt or trigger

Stand up the platform readiness for our priority AI workflow with the data, compute, observability, and governance it needs.

Example outputs

Platform readiness planData and compute foundationObservability baselineGovernance patternAI workflow handoff

Pilot path

A five-step path to a useful pilot.

Start with one workflow, agree on the baseline, connect the approved data, test with users, and let the results guide the operating plan.

Plan a pilot

Assess

Map the estate

Inventory workloads, workflows, dependencies, and current costs.

Design

Compare target options

Choose a candidate migration pattern for each selected workload and workflow.

Pilot

Test one wave

Run a controlled migration with parallel comparison, validation, and rollback.

Modernize

Separate a workflow

Pilot one core-adjacent workflow behind a defined service contract.

Prepare

Plan steady state

Complete monitoring, support, cost management, runbooks, and handoff with operations.

Who this is for

Carrier technology, claims, underwriting, and product leaders where the legacy core and infrastructure footprint is the brake on growth.

Insurance demo

Part of the Tactical Edge insurance demo library. See related demos for the rest of the customer journey.

Browse the library

What to measure

Agree on a baseline before the pilot, then compare the output, review effort, exceptions, quality, and operating cost with your current process.