Used by teams at
Agents belong in a governed environment, not on laptops
Your teams are already using AI agents to work faster, with or without your approval. Instead of blocking them, give them a platform that makes agents safe, governed, and auditable.
01
BUILD
Working agents in days, not quarters
Everything underneath is already built.
Agents handle multi-turn, multi-tool, long-horizon work, with budget controls built in.
Omni, the built-in AI engineer, sets up an agent from a plain-language description.
No infrastructure project: connectivity, permissions, and audit come with the platform.
02
CONNECT
Connected to the systems your business already runs on
Agents reach your applications, your data, and your cloud, through your existing identity and access setup.
Agents authenticate as the person who invoked them, through your identity provider, so every action respects that person’s existing permissions.
Connect the systems your teams work in: ticketing, data platforms, cloud accounts, and internal applications.
Run where your data lives: AWS, GCP, Azure, your VPC, on-prem, or fully air-gapped.
03
Multiplayer AI
One team builds an agent. The whole company uses it
Agents and the people who use them work in the same place, with every action scoped and audited.
Any authorized team runs a published agent self-serve, instead of filing a ticket to the team that built it.
Agents work where people already do: Slack, Teams, ChatGPT, Claude, and the Omni UI.
People and agents share one conversation, so approvals and handoffs happen in the thread.
04
CONTROL
Full visibility into every agent action and decision
One place defines who can run each agent, what it can reach, and what needs human approval.
Every agent has a named identity, and every action ties back to a specific human.
Every tool call is logged: runs, traces, approvals, failures, with spend attributed per task.
Credentials are injected from a vault at tool-call runtime, so the model never sees a secret.
Describe what you need. Omni takes it from there
Omni is the AI engineer built into the xpander platform. It builds, runs, and optimizes agents from plain language, no setup required.
Tag Omni like a teammate, right inside ChatGPT, Claude, or whatever you already use
Ask for an agent and Omni sets it up in a few clicks - no infrastructure, no setup project
Run actions and pull data through a secure, governed path, not a workaround
Teach Omni the skills and context you have already built in your chosen AI tool, so it comes with you
The xpander Universal Harness
One runtime that works with any model, runs in any environment, and delivers agents wherever your people already work. Change any of the three without rewriting your agents.
Works with
Gemini
Llama
GPT
Qwen
Deepseek
Z.ai
Mistral
Open-weight models
Your fine-tuned models
Runs on
AWS
GCP
Azure
your VPC
Air-gapped on-prem
Lives in
WhatsApp
Claude Code
the Omni UI
Whatever you adopt next
Slack
Telegram
Bring AI agents to every team across the business
Review, monitor, and catch incidents early
Agents watch your CI/CD pipeline, catch on-call error spikes before they page you, review pull requests, and flag risky changes in security review, so nothing slips through unnoticed.
