
THE CORTEX AI STORY
See the power of governed agents.
A visual journey for business and technology leaders. Explore the capabilities, follow a claims workflow, and see the path to a focused MVP.

Take the story with you.
Download the English presentation for meetings or a LinkedIn document post.
Slide context and sources
Cortex AI, presented by Genellipse. Explore the business opportunity, technical capabilities, governance model, and a focused delivery path. Use the website chapters to navigate the story, and try the illustrative governance scenarios. Contact info@genellipse.com to discuss your workflow.
Product information reviewed in September 2026. Conceptual artwork. Product fit and availability are confirmed for each engagement.
CORTEX AI OS · INDUSTRY CAPABILITIES
Explore what Cortex AI can do for your industry.
Individual agents. Coordinated solution packs. Applications for your organization. Explore six detailed presentations with integration, governance and business value explained.
Explore all industry presentations
Actuarial
Experience studies, valuation close and pricing assessment with actuarial judgment and traceable evidence.
34 slides · English
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Insurance
Underwriting preparation, renewal coordination and policy servicing through connected agents and authorized decisions.
34 slides · English
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Banking & Finance
Reconciliation, credit review preparation and finance close with controlled financial actions.
34 slides · English
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Retail
Order resolution, product launches and returns operations with consistent product data and customer service.
34 slides · English
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Education
Student support, course preparation and research administration with educators and staff in control.
34 slides · English
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Defence
Corporate services, facilities administration and procurement evidence within approved security boundaries.
34 slides · English
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Cortex AI
Build useful agents. Define what they can do. Understand what happened.
Cortex AI brings agent creation and operation into a governed environment. Teams can connect knowledge and tools, establish permissions and approval rules, and review quality, cost, and activity as an agent moves from a first test to an ongoing business workflow.
EXPLORE CORTEX AI
Built around
the work that matters.
Cortex AI OS brings agent creation, workflow automation, governance, and monitoring into one runtime. Connect your models, knowledge, and business systems while keeping permissions, budgets, and approvals attached to the work.
- AI & technology leaders
- Automation teams
- Business process owners
- Risk & governance teams
Build agents and workflows
Combine skills, business knowledge, and tools in Agent Studio to create agents around the way your team works.
Set the boundaries
Apply identity, budget, and policy controls. Route consequential actions through human review.
Understand each outcome
Monitor runs, evaluate quality, and inspect the Trust Ledger to follow an action from its context to its result.
INSIDE CORTEX AI
From agent design to accountable operation.
Explore the capabilities behind the platform, the work each supports, and the details to examine with your team.
Agent Studio & knowledge
Configure an agent’s skills, approved knowledge, behavior, and escalation rules. Test the conversation in the authoring environment and use versioned definitions to manage changes.
Explore technical details
- Build around documents and business context
- Scope information to the intended audience
Workflows & connected tools
Combine agent tasks with the tools and systems a business process uses. Workflow design includes the order of actions, the context supplied to each step, and the point at which work returns to a person.
Explore technical details
- Connect permitted actions to a defined process
- Handle incomplete inputs and exceptions explicitly
Identity & permissions
Treat an agent as an accountable identity with an owner and a defined scope. Specify the models, tools, and business objects it may use rather than relying on a prompt to express all access boundaries.
Explore technical details
- Establish ownership and permitted actions
- Review permissions when the use case changes
Policy & human oversight
Apply rules to actions at runtime and define the circumstances that require approval. The action lifecycle supports preparation and review before execution, helping teams distinguish a proposal from an authorized action.
Explore technical details
- Set risk-based approval and escalation rules
- Test policy behavior before widening the workflow
Evaluation & observability
Inspect a run’s inputs, context, tool use, and output. Evaluation and monitoring help teams understand quality, investigate exceptions, and assess whether a change is ready for release.
Explore technical details
- Test against representative tasks and edge cases
- Trace a result back through the steps that produced it
Cost governance & Trust Ledger
Keep usage and spending visible while maintaining a record of agent activity. Budget controls and the Trust Ledger provide complementary views of what ran, what it did, and the resources it used.
Explore technical details
- Define usage boundaries for the operating scope
- Review activity and evidence alongside the outcome
A WORKFLOW IN PRACTICE
Follow a governed service request.
An illustrative workflow shows how a knowledge task can progress to a proposed action, with review kept in the process. The exact tools and approvals depend on the implementation.
Understand the request
Identify the task and retrieve the information the user is allowed to access from approved knowledge sources.
Prepare the response
Draft an answer or a proposed next action with the relevant context. Flag missing information or an exception rather than treating it as a normal case.
Apply policy & review
Check whether the proposed action is permitted and whether a person must approve it. Route the work to the designated reviewer when required.
Record & evaluate
Review the completed run, tool activity, output, and cost. Use the record to investigate issues and improve the workflow’s evaluation examples.
YOUR EXISTING ENVIRONMENT
Plan the connections
that matter.
Start with approved knowledge sources and the specific business systems an agent needs. Assess model choices, tool permissions, identity mapping, retention, and operating constraints. Connect additional tools only when the workflow has a defined reason to use them and an owner who can review the resulting behavior.
FROM CAPABILITY TO APPLICATION
Where Cortex AI
fits into the work.
A useful AI agent needs more than a prompt. It needs the right business context, permission to use specific tools, boundaries around consequential actions, and a way for people to inspect its work. Cortex AI organizes these controls around the agent lifecycle.
Knowledge assistance
Build an assistant around approved business knowledge. Define what it may retrieve, when it should ask for help, and how its responses will be evaluated before broader use.
Operational workflow support
Connect agents to a bounded process such as service intake or document review. Specify allowed actions and the points where a person must approve the next step.
Agent oversight
Give platform owners a view of activity, quality, and spending. Review a run’s context and actions when a result needs investigation, then refine the policy or workflow.
PLAN A USEFUL EVALUATION
Start with a workflow
your team knows.
Bring a representative example, the people who own it, and the requirements it must meet. Review the whole path from input to output, including exceptions and handoffs.
EVALUATE WITH CONFIDENCE
MVP delivery within 6 weeks.
Genellipse plans a focused MVP within 6 weeks. Agree the outcome, interfaces, authorized access, client reviewers, and acceptance criteria before delivery begins.
COMMON QUESTIONS
Details that help
you decide.
Explore the scope, practical considerations, and a useful starting point for your team.
How does Cortex AI differ from a standalone chatbot?
Cortex AI focuses on operating agents and workflows with identity, policy, oversight, and activity records. A chat interface can be one entry point; the broader purpose is to manage what an agent can do and how its work is reviewed.
Can people review an agent’s actions?
Human oversight is part of the platform’s governance model. During design, teams define which actions can proceed within policy, which require approval, and which must be escalated or blocked.
How should we judge a MVP?
Assess the workflow using representative tasks, including exceptions. Review output quality, completion rate, escalation behavior, time spent by reviewers, and cost per completed task. Agree the threshold for expansion before the MVP starts.
TAKE A CLOSER LOOK
Explore Cortex AI.
See the product, explore its capabilities, and find your next step.





