AegisNow
Insurance, reinsurance, and actuarial operating context: connect policy, claims, financial, and modeling workflows within the agreed implementation scope.
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InsuranceInsurance operations
Expose legacy insurance capabilities through governed APIs
Brokers and digital channels need current policy and service information, but existing administration systems offer limited or inconsistent interfaces. Each new integration becomes a separate project with duplicated business rules.
Solution blueprint: implementation is scoped with your team. The workflow below describes an engagement approach; it is not evidence of a completed customer deployment or a guaranteed return.
FROM PROBLEM TO PROCESS
How the workflow can improve.
Inventory supported APIs, files, and legacy interfaces.
Define a canonical service contract for a focused capability such as policy enquiry.
Build and test an adapter with authentication, idempotency, monitoring, and reconciliation before adding transaction services.
How Genellipse brings the platforms together.
Genellipse maps the business rules and source systems, configures the agreed capabilities, and validates the workflow with the people who will operate it. Existing systems and supported interfaces determine the integration approach.
Cortex AI
Agent workflow: assemble evidence, assist with drafting and coordination, and apply configured permissions, evaluation, approval, and monitoring controls.
GeneData
Data foundation: connect approved sources, prepare governed datasets, track lineage and quality, and support repeatable analysis and reporting.
VALUE TO MEASURE
Where ROI can come from.
Reuse integration components across channels to reduce delivery and maintenance effort. Measure the avoided cost of subsequent integrations and support incidents, after API infrastructure and ongoing adapter costs.
Track these measures against your baseline.
- Lead time to connect a new channel
- Integration support hours
- Successful and reconciled API transactions
Agree definitions, data sources, and an observation period before the MVP. Compare similar work, include exception handling and quality review, and subtract implementation and ongoing operating costs.
Start with a focused, reviewable MVP.
- Suggested starting scope
- One read-only policy enquiry API, followed by an approved transaction API if the source system supports it.
- Data and integration needs
- Interface documentation, representative requests, product rules, authentication requirements, and service-level expectations.
- Review and control requirements
- Assess legacy access and licensing constraints; control write permissions, rate limits, duplicate requests, and backward compatibility.
What Genellipse can deliver with your team.
A current-state workflow map, data and interface assessment, configured MVP, evaluation evidence, and a phased delivery recommendation. Agree the output, acceptance criteria, operating owner, and improvement measures before extending the scope.
Follow the process in more detail.
A servicing request crosses email, a policy administration screen, and a manual reconciliation queue. A controlled API layer can give staff a consistent way to retrieve policy information and prepare a change while the existing system remains the system of record.
Explore the workflow walkthroughBUILD YOUR BUSINESS CASE
Explore an illustrative ROI scenario.
Replace these example assumptions with your own baseline and validated MVP results. This calculator estimates the value of processing-time improvements; it does not predict a customer outcome.
ILLUSTRATIVE FIRST YEAR
- Capacity hours released annually
- 2,000
- Annual realized capacity value
- CA$60,000
- First-year total cost
- CA$44,000
- First-year net value
- CA$16,000
- First-year value ROI
- 36.4%
- Simple payback
- 6.7 months
Released capacity becomes cash savings only when spending is actually avoided. Otherwise, measure the value of agreed redeployment or additional output. The realization percentage must reflect that distinction.
Calculation method and assumptions
Annual hours = monthly volume × minutes saved per item × 12 ÷ 60. Annual realized value = annual hours × hourly cost × realization percentage. First-year cost = implementation cost + 12 × monthly operating cost.
First-year value ROI = (annual realized value − first-year cost) ÷ first-year cost. Payback = implementation cost ÷ monthly value after recurring costs, when that monthly value is positive.
The example assumes steady volume and immediate full operation. Include integration, licensing, AI usage, infrastructure, support, quality review, training, and change management in your costs. Model ramp-up separately before an investment decision. Currency selection changes the unit label; it does not convert amounts. Do not add the same benefit again as headcount savings, revenue, or avoided rework.
Bring us the workflow you want to improve.
Tell us about your source systems, current bottleneck, and the outcome you want to measure. Your selected use case will be added to an editable enquiry so we can start with the right context.
Discuss this use case