Sources and systems of record
Policy administration, claims, finance, documents, applications, and approved external data remain the authoritative starting points. Identify source owners and permitted uses before connecting data.
GENELLIPSE FOR ENTERPRISE
Connect business systems, trusted data, governed AI, and professional review around the workflows that matter.
THE DECISION BEHIND THE TECHNOLOGY
A useful enterprise architecture explains more than connections. It makes ownership, consistency, failure recovery, and permission boundaries visible. Modernizing a workflow does not require every core system to be replaced at once; it requires a deliberate boundary between what remains authoritative and what can safely change.
Select a stage to inspect its owner, evidence, and stopping condition.
CONTROLLED PROGRESSION
Expose versioned records through an agreed API, event, or controlled batch. Preserve source identifiers, effective dates, and reconciliation totals.
Illustrative design: an insurer retains its policy administration system while introducing evidence preparation for servicing. A read-only data path supplies approved information to an agent. A separate, permissioned command path handles any approved change. Neither an AI response nor an analytical copy becomes the policy record.
Use these prompts with your team. Checked items are a local working aid, not a readiness certification; they reset when you leave this guide.
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INTERACTIVE REFERENCE ARCHITECTURE
Select a product to explore its role. This is a planning view of an agreed solution, not a statement that every integration is preconfigured.
Connect approved sources, apply quality checks, retain lineage, and make reviewed datasets available to the agreed consumers.
Explore this productPeople, permissions, evidence, and operational ownership apply across the entire workflow.
Use this reference architecture to plan the role of each product. It describes an engagement pattern; supported interfaces and deployment configurations are confirmed against your requirements.
Policy administration, claims, finance, documents, applications, and approved external data remain the authoritative starting points. Identify source owners and permitted uses before connecting data.
GeneData can organize ingestion, transformation, quality, catalog, and lineage. GeneAnalytics supports shared metrics and analytical views based on the agreed data definitions.
AegisNow provides insurance, reinsurance, and actuarial context. Cortex AI coordinates approved agent tasks, evidence retrieval, and human approvals within the selected workflow.
GeneComply supports control evidence and review processes. GeneSecure supports security investigation. Business owners retain responsibility for decisions and approved actions.
Genellipse begins with an interface inventory and a bounded business transaction. Each connection needs an owner, a contract, and a way to detect and recover from failure.
Assess existing APIs and permitted service interfaces before proposing an adapter. Start with a read-only policy enquiry, then evaluate authorized updates with validation, transaction identifiers, and reconciliation.
Where an API is unavailable, assess controlled extracts or approved event interfaces. Agree schemas, freshness, duplicate handling, delivery acknowledgements, and the treatment of late or incomplete records.
Record the fields, data classification, access scope, expected volume, error behaviour, and acceptance tests. Confirm that a retry cannot silently duplicate a consequential action.
Your architecture review should cover hosting location, network boundaries, identity, model providers, and operating responsibility. Availability of a particular cloud, private environment, or residency arrangement must be confirmed for the selected product.
Compare a provider-hosted service, a customer-controlled environment, and hybrid connections to retained systems. Assess operational ownership, data location, connectivity, and change control. Confirm which patterns the selected product and commercial arrangement support.
Map users, agents, service accounts, and approval roles. Request evidence of the identity integration, permission model, and audit events supported by the proposed configuration.
Identify where data is stored and processed, which model services receive it, how long records are retained, and how deletion or export will be handled.
Agree monitoring, backup and recovery responsibilities, change windows, escalation routes, and the tests needed before production use. Recovery and service commitments belong in the agreed contract.
Genellipse can prepare a solution blueprint with your technology and business teams. It should be detailed enough to support an implementation decision.
A system context diagram, integration inventory, data flow, responsibility matrix, assumptions register, and prioritized technical risks.
System owners, interface documentation, representative non-sensitive examples, identity and network requirements, and the people authorized to approve access.
Proceed when the proposed design meets the agreed functional, data, security, and operational criteria, with unresolved dependencies assigned to owners.
Choose by timeliness, authority, failure behavior, and operating cost. A faster interface is not automatically the right interface for a reconciled financial process.
Use for bounded queries and commands with explicit caller identity, request validation, and predictable outcomes. Specify timeout budgets, idempotency keys, version compatibility, and error contracts. For a payment or policy update, a timeout means the outcome is unknown until reconciled—not that the transaction failed.
Use for decoupled processing when consumers can tolerate agreed delays. Define ordering requirements, replay limits, deduplication, dead-letter handling, and who investigates stuck messages. Replaying an event should reconstruct state without issuing the same business instruction twice.
Use controlled extracts where cores cannot expose suitable real-time interfaces. Capture the business cutoff, file manifest, record counts, amounts, rejected records, and late-arrival rules. Schedule dependencies around close windows and retain a restart point rather than rerunning every job.
MCP connects AI applications to tools and context; it does not replace business authorization. Approve servers and tools, minimize scopes, validate intended token recipients, and protect outbound access. The official MCP security guidance addresses token passthrough, confused-deputy, and SSRF risks. Assess the chosen implementation against that guidance.
A credible blueprint contains an implementation path and a reversibility path. Confirm each environment and responsibility during solution design; the diagram above is a reference pattern, not a universal deployment commitment.
Separate development, test, and production credentials. Keep secrets out of prompts and logs. Review network egress, model-provider routes, data location, retention, and diagnostic access before introducing sensitive information.
Agree peak volumes, tail latency, allowable data age, recovery time, and recoverable data loss with business owners. Test a dependency failure while work is in progress. A successful restart is insufficient if accepted transactions are missing or duplicated.
Document data formats, configuration ownership, model and prompt versions, export arrangements, and replacement interfaces. Agree how access is revoked and information is returned or deleted when a provider or operating model changes.
Primary references for the related guidance. Engagement-specific architecture, controls, and obligations require their own assessment.