Serve customers better
Connect channels and relationship context so people spend less time repeating information and staff can act on a more complete picture.
BANKS · CAPITAL MARKETS · INVESTMENT MANAGERS
Bring trusted data, controlled integration and accountable AI into customer, trade and investment operations. Connect post-trade exceptions, positions and reporting to an accepted financial record.
Discuss your financial-services prioritiesExplore our banking experienceA BUSINESS PROGRAM, CONNECTED END TO END
Bring banking leaders, operations, risk, finance and technology teams around one delivery agenda. Genellipse combines process design, data engineering, AI, integration and security with clear responsibility for the work.
A customer may see one bank, while the work behind the experience crosses channels, relationship records, payment engines, core systems and separate operations teams. When those handovers are weak, staff recreate context, customers repeat information and management receives reports that are difficult to reconcile.
Genellipse begins by connecting the business process to the technology and data that support it. We identify where information loses meaning, where a person must make a decision and where an interface or AI-assisted task can remove avoidable work. The result is a scoped change with an accountable owner, an operating model and a measurable business outcome.
Connect channels and relationship context so people spend less time repeating information and staff can act on a more complete picture.
Reduce avoidable handoffs and repeat preparation. Measure accepted output, review effort and total operating cost together.
Build with clear ownership, observable interfaces, reliable data and recovery procedures that your team can operate.
THE RIGHT CONTEXT FOR YOUR INSTITUTION
A useful transformation plan reflects the customers you serve, the systems you depend on and the people who will operate the result. Select your institution’s context to explore a practical starting point.
Retail banking
A retail journey spans account opening, payments, enquiries, disputes and ongoing servicing. Improving the front end has limited value when the next team still receives incomplete information or has to repeat the same checks. The useful unit of transformation is the complete customer journey, including exceptions and the handover to operations.
Genellipse maps the journey across channels, customer records and core interfaces. We prioritize repeated points of friction, connect the evidence staff need and introduce AI assistance where the task and review boundary are clear.
WHERE TRANSFORMATION BECOMES PRACTICAL
Detailed engagement possibilities connect a specific banking or capital-markets issue with the workflow, product fit, human decision and measures of progress.
Onboarding & KYC
Applicants repeat information while teams reconcile forms, identity evidence and customer records across disconnected systems.
Connect permitted source records, structure document intake and use AI to highlight missing or inconsistent information. Give the reviewer a case with evidence, outstanding checks and a clear next action.
The authorized onboarding team resolves identity concerns and makes the customer acceptance decision.
Completion time, repeat document requests, rework and review quality.
Application forms, identity and company documents, relationship records, approved screening results and the account-opening interface. Source permissions and document retention are agreed before ingestion.
Onboarding operations owns the case; compliance defines review and escalation rules; data and engineering teams establish source mappings. Cortex AI assists document and case preparation, GeneData supports consistent inputs, and GeneCRM connects the relationship context.
A working intake-to-review journey with evidence links, completeness checks, an exception queue and an auditable approval record. Test conflicting names, duplicate submissions, missing documents and unavailable source services.
Reducing repeat document requests and manual assembly can release review capacity and reduce abandonment. Measure the full time to an accepted application, including escalations and rework, rather than counting documents processed.
Illustrative workflows. Integration scope, product configurations and acceptance criteria are agreed for your environment.
CORE MODERNIZATION · DATA · INTEGRATION
Genellipse connects the systems you rely on to the experiences you want to deliver. Map dependencies and business cut-offs, introduce controlled interfaces and prove the result before expanding the change.
EXISTING BANKING ESTATE
Preserve source ownership. Expose only permitted capabilities. Make freshness and exceptions visible.
NEW BANKING CAPABILITIES
Consistent service across customer and employee journeys.
Bounded assistance through approved APIs and MCP tools.
Reconciled information for analytics, finance and risk.
Core modernization can mean extending, selectively replacing or consolidating systems. We select the approach around business continuity, integration constraints and the evidence required to switch safely.
The core remains usable, but channels and operations need better access to its capabilities.
Map supported interfaces, wrap selected functions behind versioned contracts and add validation, observability and access controls. Keep batch-backed information clearly identified when it cannot be made current in real time.
Demonstrate contract behavior, permissions, reconciliation and recovery against representative core data before exposing the interface to another channel.
A specific component creates excessive maintenance, limits change or no longer supports the required workflow.
Define the component’s business rules and dependencies, build the replacement and run controlled comparisons. Plan data migration, coexistence and rollback before deciding when to retire the old component.
Agree balances, records, business events and exceptions that must reconcile. Retire the old path only after the accountable owners accept the evidence.
Two organizations bring overlapping applications, customer identifiers, products and reporting definitions into one operating model.
Inventory both estates, map product and account semantics, resolve duplicate identities and agree the target ownership model. Sequence conversion and integration around customer continuity, cut-offs and operational capacity.
Reconcile opening and closing positions, migrated records, entitlements and downstream reporting. Rehearse customer-service fallback and recovery before each migration wave.
EXTEND THE BANKING ECOSYSTEM
Connect approved partners and consented customer journeys through protected banking APIs. See how customer permission, bank authorization, API policy and core integration work together—and where AI and MCP fit.
Explore Open Banking architectureAccount information · payment initiation · partner integration
THE GENELLIPSE PRODUCT ECOSYSTEM
Choose the capabilities that fit the workflow. We assess existing systems, available product configurations and connector requirements before defining the delivery scope.
Configure bounded agents for evidence gathering, case preparation and workflow support. Connect approved API or MCP tools and define evaluation, review and operating ownership.
Explore productConnect source data, quality checks and governed data products. Reconcile what feeds customer, operational, finance and risk workflows.
Explore productBring operational measures, exceptions and management reporting into a consistent analytical view with definitions and accountable owners.
Explore productAssess and integrate access, security and risk workflows alongside existing identity, monitoring and infrastructure controls.
Explore productStructure control evidence, reviews and responsibility across the agreed workflow. Map obligations with your risk and compliance teams.
Explore productConnect approved customer and business relationships, service context and next actions. Configure the workspace around the bank’s relationship model.
Explore productBANKING EXPERIENCE, IN CONTEXT
Explore selected banking engagements already documented on our website, including digital channels, consolidation and infrastructure transformation.
MAKE THE BUSINESS CASE REVIEWABLE
A faster task is only useful if the bank receives an acceptable result. We build the business case around the complete workflow, the cost of operating it and the evidence needed to show that quality has been maintained.
For a servicing or onboarding workflow, record the volume of completed cases and the total handling effort across all teams. Include checking, escalations and repeat contacts. Compare like-for-like cases after the change.
This estimates the value of capacity released. It becomes cash savings only when expenditure is actually reduced; otherwise, show how the capacity supports service or growth.
For a reporting or reconciliation workflow, track aged exceptions, repeat corrections, evidence completeness and the time needed to explain an output. Identify whether work has been removed or simply moved to another team.
Use observed operational measures. Do not translate fewer alerts or faster reviews into an unsupported claim of lower financial crime, credit loss or regulatory exposure.
For modernization, compare the costs of the current and proposed operating models. Include interfaces, infrastructure, licences, support, migration, parallel running, training and ongoing AI evaluation.
Distinguish recurring benefits from one-time costs. Track savings only when the old expense is retired, and show the dependencies that could delay the benefit.
Genellipse works with the workflow owner and finance team to agree the measurement period, case mix, cost assumptions and acceptance thresholds. We then report the observed change, remaining exceptions and operating cost so the next investment decision has a clear basis.
A PRACTICAL FIRST RELEASE
Agree one workflow, the interfaces it needs and the evidence required for acceptance. Start the delivery window when access, representative data, environments and responsible owners are ready.
Map the process, baseline effort, permissions, exceptions and acceptance criteria.
Implement the selected integrations, data checks and bounded workflow.
Test data quality, authorization, model errors, reconciliation and failure recovery.
Complete the agreed MVP, monitoring, runbooks, training and rollout decision.
Process and architecture maps, interface contracts, a working workflow, control and evaluation evidence, and an operating handover. Wider core migrations and external approvals have separate plans.
Baseline handling effort, exception age, rework and control performance. Include integration, licensing, review, training and support costs; distinguish capacity released from cash savings.
Successful adoption depends on more than an implementation team. Agree the responsibilities, decision points and support model at the start, then use them throughout design, validation and release.
Nominate the journey owner, define the exception process, supply representative cases and confirm what constitutes a successful customer or operational outcome.
Agree permitted data use, access boundaries, review obligations, evidence retention and the tests required before the workflow can be released.
Provide approved interfaces and environments, define data ownership and quality thresholds, and confirm dependencies, cut-offs and service-support arrangements.
Translate the agreed outcome into process and architecture, implement the scoped capability, present validation evidence and complete the training and operating handover.
TRUST IN THE OPERATING MODEL
Our design discussions address source quality, permitted data use, third-party dependencies, named decision owners and continuity of critical operations. These themes are reflected in banking-sector guidance; the applicable obligations and control design depend on your institution and jurisdiction.
BIS / FSI: AI data governance considerationsBasel Committee: operational resilience principlesCAPITAL MARKETS / PRIMARY CONTEXT
Matching, confirmation and settlement are distinct stages. Interfaces and exception handling must preserve the authoritative trade record and the responsibilities of each market participant.
DTCC: institutional trade allocation and matchingCOMMON QUESTIONS
Explore the scope, practical considerations, and a useful starting point for your team.
Yes. Begin by mapping the selected journey and the interfaces your core supports. Genellipse can assess APIs, adapters, events and controlled batch integration. Keep the authoritative records in place while validating the new workflow against them.
Scope the program around the institution’s operating model, service priorities and available team. Start with a repeatable workflow and manageable integration boundary, then expand when the value and operating responsibilities are clear.
We assess your existing systems, available APIs, security requirements and vendor constraints. Product selection and connector work follow that assessment. Cortex AI integration is scoped around compatible agents, tools and the control model required for the workflow.
The bank defines accountable ownership for customer acceptance, credit decisions, investigations, payment release, reporting and production changes. AI can prepare evidence and recommendations; authorization rules and consequential decisions remain outside the model.
A focused workflow with agreed interfaces, representative data, controls, validation evidence and an operating handover. The delivery window begins when required access, environments and owners are ready. A wider migration or transformation needs its own plan.
Agree a baseline for the chosen process and measure both efficiency and quality. Include integration, licensing, review, change management and support costs. Distinguish time released for other work from expenditure actually avoided.
LET’S BUILD THE NEXT CHAPTER