Governance LayerInline AI Governance & Intelligence Harness
An Inline Distributed Cognitive Fabric for the Enterprise
Cortexa unifies and orchestrates specialized intelligence inside a governed harness for enterprise reasoning, governance, memory, observability, and model-agnostic AI execution. It helps teams understand what is happening, control risk, estimate cost, and make better AI decisions.
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CORTEXA PLATFORM
Governance LayerOrchestration LayerMemory & LineageObservability LayerTokenomics Layer5
Connected layers in one inline harness
100%
Decision lineage captured by default
Model-agnostic
Works with any LLM, SLM, or on-prem model
Real-time
Governance, observability, and cost control
The Problem
AI is running. No one is governing the run.
Enterprises are deploying agents, copilots, and RAG systems faster than they can govern them. The result is ungoverned intelligence — running in production without lineage, cost control, or oversight.
1
Governance is bolted on
Policies, PII controls, and approvals live outside the model call — applied after the fact, if at all.
2
No lineage or evidence
When an agent makes a decision, teams cannot trace what went in, what evidence was used, or why it chose that path.
3
Token cost is invisible
Spend on AI is unattributed. No per-request, per-agent, or per-team cost visibility — so budgets drift.
4
Observability is fragmented
Usage, quality, drift, and failure signals are scattered across tools. There is no single view of AI behavior.
5
Routing is manual
Every task is sent to the same model regardless of cost, latency, or domain — wasting capacity and budget.
6
No shared control plane
Each team runs its own tools, models, and policies. There is no common layer to govern, observe, and cost-control AI across the enterprise.
The Harness
One inline layer between users and models
Cortexa sits inline between your existing AI systems and the models they call. It does not replace your apps — it governs, observes, and orchestrates them through five connected layers.
1
Governance Layer
Inline policies, PII controls, approval gates, routing rules, and quality checks applied to every request and response.
2
Orchestration Layer
Routes each task to the right model, tool, or agent based on cost, latency, domain, and policy constraints.
3
Memory & Lineage
Captures every decision, its inputs, its evidence, and its outcome — so teams can trace and trust AI behavior.
4
Observability Layer
Real-time visibility into usage, quality, drift, failures, and cost across every agent and model in production.
5
Tokenomics Layer
Estimates and attributes token cost per request, per agent, per team — turning AI spend into a managed budget.
Governance
Governance that runs with the model
Governance is not a dashboard you check after the fact. In Cortexa it is inline — applied to every request and response, with policy, audit, approval, and sovereignty built in.
Inline policy enforcement
Policies are evaluated inside the harness — before and after the model call — so governance is never bypassed.
Audit trail by default
Every request, response, and decision is logged with full context. Compliance teams get evidence, not guesses.
Approval gates
High-risk outputs can require human approval before they reach the user — configurable per agent and per domain.
Sovereignty controls
Route sensitive workloads to on-prem models or approved jurisdictions. Data residency is enforced inline.
Tokenomics
Turn AI spend into a managed budget
Token cost is the hidden tax on AI adoption. Cortexa makes it visible, attributable, and controllable — so teams can reason about cost the same way they reason about latency and quality.
Per-request cost estimation
Estimate token cost before the call is made — so routing decisions account for budget, not just latency.
Budget caps & alerts
Set per-team, per-agent, or per-workload budgets. Cortexa alerts and throttles before spend exceeds limits.
Attribution by team & agent
Every token is attributed to the team, agent, and workflow that consumed it — turning AI spend into a managed line item.
Spend forecasting
Project future AI spend based on usage trends, model mix, and routing policy — so finance can plan ahead.
Demos
See Cortexa in action
Product demos across the Cortexa platform — enterprise harness, Spar, DomainLM, and inline AI governance.
CORTEXA Enterprise
The full inline intelligence harness for enterprise apps, agents, and model-agnostic execution with governance, lineage, and cost control.
CORTEXA Spar
A focused demo of Spar — fast specialist routing and orchestration inside the Cortexa fabric.
CORTEXA DomainLM
Domain language models running through Cortexa with policy, sovereignty, and evidence attached to every answer.
CORTEXA AI Governance
Inline policy enforcement, approval gates, audit trail, and tokenomics for every model call.
See Cortexa govern your AI in real time
Book a 30-minute executive demo. We will walk through the inline harness on your own use case — governance, lineage, observability, and tokenomics, end to end.