Agents are an operations problem
The hard part is not which model to call. It is what the agent is allowed to do, who approved it, and how the workflow recovers when a step fails.
About Us
Agento is built for enterprises that need AI work to run like production software. That means policy enforcement, durable execution, and evidence on every step.
We are not a chatbot layer or a demo-only agent platform. We orchestrate skills across systems, govern what those skills are allowed to do, and produce an audit trail that can survive a regulator.
- Policy-first execution
- Temporal-backed durability
- Immutable evidence trails
- Enterprise integrations
- Built for regulated teams
- Melbourne, Australia
Why Agento exists
Most AI agent platforms are demos. They look impressive in a walkthrough and fail the first question a CISO asks: what happens when this agent makes a mistake at 3 a.m. on a customer record?
Agento exists to answer that question. We provide the operating system layer enterprises use to run AI work like any other production system: governed, durable, and observable.
What we believe
Evidence is the unit of trust
A workflow you cannot reconstruct from logs is a workflow you cannot ship in finance, healthcare, or other regulated contexts.
Policy belongs in code
Approval rules, risk tiers, and tool allow-lists should live beside the workflow definitions they govern.
Our three pillars
Governed
Nothing runs without policy approval. Least-privilege execution, versioned tool allow-lists, and human-in-the-loop checks are the default.
Durable
Long-running workflows survive failures, retries, and restarts. State is persisted so work resumes where it stopped.
Auditable
Every step produces structured execution artifacts that can be reviewed, exported, and defended in front of an auditor.
The team
Built in Melbourne, Australia by a small, full-stack team shipping production software for regulated enterprise environments.
Arsalan Usmani
FounderFounder of Agento, building an enterprise AI platform that transforms how companies execute work across systems through autonomous agents and workflow orchestration. Electrical engineer and PMO leader with years of experience delivering large-scale infrastructure and renewable energy projects, bringing deep operational insight into AI product design. Focused on solving real enterprise friction, turning complex workflows into intelligent, automated execution at scale.
LinkedInContact
- General enquiries: hello@agento.com.au
- Sales & demos: sales@agento.com.au
- Press & partnerships: press@agento.com.au
- Security disclosures: security@agento.com.au
- Brand & design: brand@agento.com.au