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GOVERNED AGENTIC AI

01 / Overview

Put AI to work. Keep people in control.

Build and operate enterprise AI agents with policy controls, human oversight, and a traceable record of their actions.

How can Genellipse help?

Genellipse plans a focused MVP within 6 weeks. Agree the outcome, interfaces, access, client reviewers, and acceptance criteria at the start. Use the delivered evidence to decide the next stage.

ILLUSTRATIVE WORKFLOW

  1. 01

    Build

  2. 02

    Govern

  3. 03

    Observe

Confirm the capabilities and configuration appropriate to your requirements.

01 / 07

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.

Build. Deploy. Govern.

Cortex AI OS The enterprise operating system for governed agents.

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Cortex AI | Genellipse

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
A robotic hand reaching toward a network of connected points

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
01

Build agents and workflows

Combine skills, business knowledge, and tools in Agent Studio to create agents around the way your team works.

02

Set the boundaries

Apply identity, budget, and policy controls. Route consequential actions through human review.

03

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.

01

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
02

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
03

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
04

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
05

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
06

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.

01

Understand the request

Identify the task and retrieve the information the user is allowed to access from approved knowledge sources.

02

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.

03

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.

04

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.

01

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.

02

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.

03

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.

cortexrizi.com (opens in a new tab)

LET’S TALK ABOUT YOUR PRIORITIES

Put Cortex AI in your business context.

Tell us about the process, the people involved, and what you want to improve. We can explore the scope, dependencies, and a practical next step together.

Discuss your use case