Agentic Hub

Put AI agents to work — with enterprise control.

Build, orchestrate and govern AI agents and agentic workflows across your enterprise. Reuse trusted building blocks, connect existing systems, keep humans in control and deploy where your business requires.

  • Open standards
  • Framework agnostic
  • Human-in-the-loop
  • Sovereign deployment
Product preview — Agentic Hub console with Agent Registry, policy controls and execution status

One place to build, run and control your enterprise agents.

Agentic Hub is a control and orchestration layer — not just a chat interface. Bring the Agent Registry, policy controls, execution status, costs and traces together in a single view.

  • Agent Registry
  • Policy controls
  • Execution status
  • Cost & traces
Product preview — Agent Admin / Policy Manager showing the Agent Registry and governance
Product preview. Screens are illustrative of the current prototype.
Agentic Hub Agent Portal showing the Available Agents catalogue with 29 governed agents, each with success rate, latency and daily cost

A closer look at the Agentic Hub console.

Real product views from the Agent Portal — where business users discover and run governed agents, review approvals, and orchestrate integration workflows.

01

Available Agents

a governed catalogue with success rate, latency and cost per agent

Browse and discover approved AI agents from a central catalogue. Each card surfaces live performance metrics — success rate, average latency and daily cost — so your team can choose the right agent with confidence.

Agentic Hub Agent Portal showing the Available Agents catalogue with 29 governed agents, each with success rate, latency and daily cost
02

Approval Queue

human-in-the-loop review of agent actions

High-risk agent actions are automatically routed for human review before execution. Platform teams triage by risk level, SLA deadline and estimated business impact — keeping humans in control without slowing down routine tasks.

Agentic Hub Approval Queue listing agent actions that require human oversight, with risk, impact, SLA and status columns
03

n8n Workflows

low-code integration automation, MCP-enabled

Build deterministic workflows alongside your agents using low-code automation. Connect APIs, trigger agents on events and apply enterprise-grade error handling — without writing boilerplate integration code.

Agentic Hub n8n Workflows view with total, active and MCP-enabled workflow counts and workflow cards
04

Agent chat

interact with governed agents through guided experiences

Business users interact with governed agents through structured chat experiences. Every session is logged, traceable and configurable with guardrails — so you get the speed of AI without losing oversight.

Agentic Hub chat interface interacting with a governed document-analysis agent
05

Conversation History

searchable, exportable audit of past runs

Every agent interaction is stored, searchable and exportable. Compliance teams get a full audit trail; developers get structured data for evaluations and continuous improvement.

Agentic Hub Conversation History with search, filters and exportable past agent conversations

Screens are from the current prototype and are illustrative.

One platform. Three ways to work with agents.

Business User

Agent Portal

Business users discover and run approved agents, interact through guided experiences, and make decisions at human-in-the-loop gates.

Builder

Agent Studio

Builders create agents and workflows using low-code or pro-code approaches. Components are framework-agnostic and can be reused instead of rebuilt.

Platform & Governance Team

Agent Admin

Platform teams manage policies, identities, access, auditability, model usage, deployments and cost transparency from one control plane.

Build, orchestrate and govern AI agents — in one platform.

Enterprise agent governance must cover more than the model. Agentic Hub applies policies and visibility across the complete execution chain.

Multi-agent orchestration

Coordinate specialized agents and delegate tasks dynamically across a process.

Workflow-based automation

Model deterministic steps, integrations, gates and fallbacks where reliability matters.

Human-in-the-loop

Route critical decisions to people with full context and traceability.

4D governance

Control access across User → Agent → Tool → Model with policy-based, default-deny semantics.

Auditability & observability

Trace actions across agents, tools and frameworks; support behavioral monitoring.

Cost transparency

Attribute model and execution cost to agents, teams or use cases where supported.

Building toward a fully managed enterprise platform.

Confidently deploy autonomous AI workforces that are secure, sovereign and compliant, integrating with existing systems, agents and tools — on an open, agent-native platform.

Q3 2025

Platform Design

Selection and experimentation with core platform components and architecture.

Q1 2026

Platform Prototype

Use for selected proof-of-concept scenarios.

Q2 2026Now

Platform Hardening

First use cases are onboarded while security, reliability, operations and governance are hardened.

Q3 2026

Public Preview

Preview for a broader set of customers and use cases.

Q4 2026

General Availability

Targeted availability as a fully managed enterprise platform, subject to the final approved roadmap.

Roadmap items are indicative and subject to change based on the final approved product roadmap.

Build an enterprise agent layer you can actually operate.

Bring your existing agents, workflows and systems into a governed, observable and reusable platform — or start with a focused use case and scale from there.