Say yes to AI. Not to sprawl.

Say yes to AI. Not to sprawl.

One governed platform for every agent, model and tool your company runs. Know every agent, its owner and its cost, enforce policy in one place, and deploy in your cloud, on-prem or air-gapped.

One governed platform for every agent, model and tool your company runs. Know every agent, its owner and its cost, enforce policy in one place, and deploy in your cloud, on-prem or air-gapped.

Self-deployed in your Kubernetes

Air-gapped ready

SOC 2 Type II

GDPR

Built for organizations that can't leave shadow AI unanswered

Government

Defense

Critical Infrastructure

Insurance

Banking

Retail

Retail

  • Government

  • Defense

  • Critical Infrastructure

  • Insurance

  • Banking

  • Retail

    Retail

Five layers between your company and AI sprawl

Agents are moving off laptops and out of one-off automations. Now they run every day on customer and financial data. Your people also connect AI assistants to Microsoft 365 and internal systems. You want to say yes to that, and still see and control what every agent can reach.

  • Lock-in as the price of control: The usual fix replaces the AI tools people like with one vendor's assistant. People lose tools that keep getting better, and you are tied to one vendor.
  • Agents on laptops: Coding agents and assistants run on personal machines, under personal logins. They stop when the laptop closes. People add their own tools, and nobody sees what those tools reach.
  • No audit trail: When an agent touches customer or financial data, nobody can say who asked, what it did, or who approved it.
  • Costs that do not fit agents: Per-user token limits stop agents that run all day. API spend has no owner.
  • Data in places you did not choose: Agents send customer and financial data to vendor clouds and laptops you do not control.

Applications: Keep the tools your people already use

People reach your agents from Slack, Microsoft Teams, Claude, ChatGPT or the AI Workspace. Your own apps call the same agents through the API. You replace nothing, and you are not tied to one vendor's assistant.

Secure runtime: Move agents off laptops, into a sandbox you control

Agent Runtime runs Claude Code, Codex or OpenCode in an isolated sandbox for each conversation. Agents run on a schedule or in the background, with no laptop open, and every turn is recorded. MCP Gateway connects agents only to the tools your admins approved, such as Outlook, SharePoint, Jira or GitHub. A tool can run with the permissions of the person who asked, where the system supports it.

Governance: Every agent action recorded. Risky ones wait for a person.

Every model call from your agents goes through AI Gateway. AI Gateway checks it against your model rules and budgets, and records it under the person who asked. You choose which actions wait for a named approver, such as a production deploy or a write to a customer system. The audit log shows which agent used which system, when, what it did and for whom. Every approval is recorded with the approver's name. Already run an AI gateway? Keep it and connect it.

Models: Any model, with budgets that fit agents

Use Claude, GPT, Gemini or open-weight models. Set a budget for each team, person and agent, so an agent that runs all day has its own limit. Usage shows what each person, team and agent spent.

Deployment: Your data stays where you decide

Run xpander in xpander cloud, in your own cloud, or on-prem with models on your own GPUs. In your own cloud, agent runs, credentials and model keys stay in your network. An air-gapped install has no connection to xpander cloud.

Give your people AI. Keep the control.

Your existing infrastructure wasn’t built to run AI at scale

Agents are growing in number and complexity, but the infrastructure to run and govern them hasn’t caught up.

01 · INFRASTRUCTURE TRAP

Every AI use case turns into a lengthy integration project

Every AI use case turns into a lengthy integration project

Each new AI project starts from scratch. Gateways, sandboxes, memory, and audit trails get rebuilt every time, and the maintenance never ends. Months pass before the first business outcome.

Each new AI project starts from scratch. Gateways, sandboxes, memory, and audit trails get rebuilt every time, and the maintenance never ends. Months pass before the first business outcome.

02 · AI SPRAWL AND GOVERNANCE GAPS

Your teams already use AI, but security can’t see or govern it

Your teams already use AI, but security can’t see or govern it

Agents run on laptops under employee logins, and each team builds its own with no shared policy. Nobody can say which agents are running, what they can reach, or when they’ll cross a boundary.

Agents run on laptops under employee logins, and each team builds its own with no shared policy. Nobody can say which agents are running, what they can reach, or when they’ll cross a boundary.

03 · COMPLIANCE BOUNDARIES

AI has to reach your systems without crossing compliance boundaries

AI has to reach your systems without crossing compliance boundaries

Vendor-hosted AI sends your data to their cloud, with no record of which agent touched what or what it changed. Every new AI vendor means another console to manage and another audit to pass.

Vendor-hosted AI sends your data to their cloud, with no record of which agent touched what or what it changed. Every new AI vendor means another console to manage and another audit to pass.

The full suite for becoming AI‑native

xpander provides everything you need to adopt AI without losing control. IT teams get governance over every agent, while everyone else gets the freedom to run them.

Agent Runtime

Give every agent a secure environment to run

Run the agents your teams already built on Claude Code, Codex or OpenCode, in your environment. When a better model comes along, swap it in without reconfiguring your agents.

  • Any harness: Claude Code, Codex, OpenCode or your own
  • One sandbox per agent, one policy per team
  • Blocked calls become admin approvals
  • Kubernetes, any cloud, on-premises or air-gapped

Why enterprises choose xpander

xpander is the only all-in-one platform that doesn’t force you to go all-in on any model provider, harness, or cloud.

Works with what you already have

Your identity provider, vault, security stack and internal systems.

The usual trade-offTheir environment, their models, their roadmap

Vendor-neutral, by design

Any harness, any model, any cloud or air-gapped. Switch anytime.

The usual trade-offLocked to one framework, one cloud or one harness

Governed out of the box

Permissions, approvals, audit and budgets are built in from day one.

The usual trade-offYou build the governance yourself, and maintain it forever

Your data stays yours

Prompts, memory, skills, workflows and history stay in your environment.

The usual trade-offYour data leaves for a vendor cloud

Where will you start?

Once xpander is running in your environment, most teams start with one of these five use cases.

Move your employees’ agents off their laptops

People already run Claude Code and Codex agents on their laptops. Run those same agents in a governed sandbox in your environment, so they keep working in the background after the laptop closes.

Learn more →

Built for the most security‑conscious teams

Certified and audited

SOC 2 Type II certified and GDPR compliant, with independently audited controls so your security review starts from a known baseline.

Runs where your data lives

Your VPC, your data center, or fully air-gapped. Nothing leaves your environment unless you say so.

Every action is logged

Agents act as the person who asked, credentials come from your vault at call time, and every run is logged and attributable.

Questions we hear from IT leaders

No. Your teams keep Claude Code, Codex, or OpenCode. xpander runs them in your environment and adds what they lack on their own: permissions, approvals, budgets, audit, and a shared place for every team to use them.

Put AI to work safely across teams

Book a demo and we’ll walk through xpander with your first use case in mind.