Cortex AI
Agent workflow: assemble evidence, assist with drafting and coordination, and apply configured permissions, evaluation, approval, and monitoring controls.
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Banking & FinanceWorkflow automation
Prepare customer onboarding and KYC review
Onboarding teams gather documents, compare information across systems, and chase incomplete submissions. Repeated checks increase review time and make it difficult to explain why a case was escalated.
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.
Assemble permitted customer and entity information with its provenance.
Flag missing, inconsistent, or expired documentation against configured requirements.
Prepare an evidence-linked review packet and route exceptions to authorized staff.
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.
GeneData
Data foundation: connect approved sources, prepare governed datasets, track lineage and quality, and support repeatable analysis and reporting.
GeneComply
Assurance workflow: connect requirements, controls, owners, review tasks, and evidence so responsible specialists can assess and approve the work.
VALUE TO MEASURE
Where ROI can come from.
Reduce document preparation and follow-up effort while monitoring review quality. Measure time to a complete decision-ready file rather than promise automatic compliance or faster approval for every applicant.
Track these measures against your baseline.
- Handling time per complete case
- Requests for missing documentation
- Reviewer correction and escalation rate
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 customer segment and onboarding journey with reviewer comparison against the existing process.
- Data and integration needs
- Onboarding documents, customer records, permitted verification feeds, and approved review requirements.
- Review and control requirements
- Authorized reviewers make acceptance and risk decisions; restrict sensitive data and log changes to evidence and rules.
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.
An internal operations assistant can collect evidence, identify missing documents, and prepare a reviewer brief. The business value depends on reliable handoffs and clear authority, as well as model quality.
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.
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