GENELLIPSE
Build and operate enterprise AI agents with policy controls, human oversight, and a traceable record of their actions.
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.
Confirm the capabilities and configuration appropriate to your requirements.
Combine skills, business knowledge, and tools in Agent Studio to create agents around the way your team works.
Apply identity, budget, and policy controls. Route consequential actions through human review.
Monitor runs, evaluate quality, and inspect the Trust Ledger to follow an action from its context to its result.
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.
A named process owner, representative examples, current measures, and the constraints the solution must meet.
An agreed workflow, tested configuration, findings, operational responsibilities, and a recommendation for the next phase.
Evaluate a bounded agent workflow that gathers approved evidence, drafts an interpretation, and routes a proposed action to the right authority. Assess a single agent first, then coordinated agents or packaged workflows where the handoffs create business value.
Identify permitted sources, tools, users, and actions. Separate read access, recommendation, and execution; specify which actions always require review.
Assess approved APIs or MCP tools and the treatment of externally supplied agents. Agree contracts, identity propagation, budgets, tool scopes, and failure handling.
Test the complete journey across agents and systems, including interruptions. Define the review route and acceptance evidence before packaging a solution for wider organizational use.
Govern each tool and data boundary, not merely the language model. Review credentials, scoped permissions, source freshness, prompt-injection scenarios, and logging. Confirm which governance capabilities apply to the proposed platform configuration and brought-in agents.
Document API and MCP contracts, authorization, timeout behavior, and idempotency for actions. Tool discovery alone must not grant permission to execute.
Route insufficient evidence, conflicting instructions, unauthorized requests, and unavailable dependencies to a controlled failure or human review. Keep financial and regulated decisions within agreed authority.
Measure accepted task completion, serious errors, review time, escalations, repeated tool calls, and cost per completed outcome. More agents or more generated tokens are not measures of business value.
Bring representative tasks, difficult examples, approved sources, prohibited actions, tool documentation, domain reviewers, and a current operating baseline.
Include an authority map, evaluation set, configuration versions, observed outcomes, exception evidence, operational ownership, and conditions for expanding autonomy.