Establish ownership and inventory
Record AI use cases, models, data dependencies, intended users, and accountable owners. Prioritize review according to business impact and operating context.
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Overview
Make AI oversight part of everyday delivery.
Translate AI principles into inventories, evaluations, approvals, and evidence that business, technology, and risk teams can use.
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THE BUSINESS CONTEXT
Build around the problem worth solving.
Policies alone do not establish control over AI. Organizations need to know which systems are in use, who owns them, what risks matter, and how changes are reviewed. Genellipse helps turn those questions into a practical governance process connected to the way teams design, release, and operate AI.
- Risk and compliance leaders
- AI governance teams
- Technology executives
AREAS OF WORK
From requirements to useful capability.
Define evaluation and approval
Agree evidence requirements for quality, access, human oversight, and relevant risk tests. Set decision gates and document exceptions with named approvers.
Maintain traceable evidence
Connect evaluation results, releases, approvals, incidents, and periodic reviews. Make the governance record usable for internal oversight and due diligence.
SHAPE THE ENGAGEMENT
A scope you can review.
The scope can include the following. Agree the priorities, responsibilities, and acceptance criteria around your specific environment.
- AI inventory and ownership model
- Risk assessment and review templates
- Evaluation and approval workflow
- Evidence register and review schedule
ILLUSTRATIVE ENGAGEMENT
What this could look like.
Before releasing an underwriting assistant, business and risk owners review its intended use, evaluation results, permissions, and escalation design. A change in its model or data triggers the agreed reassessment.
Illustrative scope, not a customer case study or a promised outcome.
Your team’s role
Provide applicable internal policies, risk criteria, an inventory starting point, and decision-makers from business, technology, security, and legal teams.
An MVP within 6 weeks
Build a governance MVP delivered within 6 weeks around a defined set of AI use cases and one release process. Scale the control model after owners have tested it in practice.
How Genellipse products fit
Cortex AI connects agent lifecycle decisions with operational workflows. GeneComply can support evidence and review processes, while GeneSecure contributes to the access and security design.
FROM PRIORITY TO PRACTICE
A clear path
through the work.
Start with an agreed scope. Connect business decisions, implementation, and the people who will own the result.
Discover & define
Agree the business problem, users, current baseline, and constraints. Identify the systems, information, and owners needed for a useful first scope.
Design & validate
Map the workflow, integration, and controls. Test the proposed approach with representative inputs and agree how the team will judge the result.
Build & introduce
Deliver the agreed capability in manageable increments. Include user feedback, documentation, training, and the decisions needed for a controlled rollout.
Operate & improve
Review adoption, reliability, quality, and cost against the baseline. Refine the workflow and decide what to expand using evidence from actual use.
COMMON QUESTIONS
Details that help
you decide.
Explore the scope, practical considerations, and a useful starting point for your team.
Does this provide a certification or legal opinion?
The service develops governance processes and evidence. Certifications, independent assurance, and legal opinions require their own qualified providers and agreed scope.
Can it fit our existing governance process?
Yes. We start with your current policies, committees, delivery tools, and ownership. The aim is to close practical gaps and avoid creating a disconnected approval process.