AgentOS for enterprise

We put the right agents to work inside your operation.

AgentOS is a multi-agent orchestration system, deployed by the team that builds it. We find the work worth automating, build the agents that do it, and run them under your approval. You keep the decisions. The system carries the rest.

You are buying a system, not hours. It runs without us.

ResearchAnalysisPreparation MonitoringReconciliationFollow-through

The system

What multi-agent orchestration actually is.

Most teams already have capable models. What they do not have is the layer that governs them. Orchestration is not one assistant with more tools. It is the set of decisions made every time work moves through your business.

  • 01
    Which agent takes the work

    Routed by capability, cost, and the context the task actually needs, not by whichever window happened to be open.

  • 02
    What it is allowed to touch

    Scoped access per agent and per system, so a research task cannot reach the systems that move money.

  • 03
    When a human decides

    Approval gates on anything consequential. The system prepares the decision and waits for a person to make it.

  • 04
    What happened, and why

    Every action carries its evidence, so the record answers the audit question before anyone has to ask it.

The agents you already run

ClaudeGPTDevinManusCodexYour own

AgentOS decides, gates, and records

RoutingScoped accessApproval gatesEvidence

Your systems and your data

SalesforceGmailDriveSlackNotionInternal

No agent reaches your systems directly. Every action passes through the layer that decides who does it, what they may touch, and what gets written down.

The work

What agents should own.

Not your judgement. The work that surrounds it: the gathering, the checking, and the chasing that consumes senior people before a decision can even be made.

Research

Diligence and background

Counterparties, markets, and documents read and summarised against your own criteria, with the sources attached.

Preparation

Briefed before the room

Meetings, reviews, and committees prepared in advance, so the discussion starts at the decision instead of the recap.

Monitoring

Watched continuously

Portfolios, pipelines, deadlines, and obligations checked on a schedule, with exceptions raised rather than reports filed.

Reconciliation

Commitments against reality

What was promised, checked against what actually happened in your systems, with the gaps surfaced and owned.

Follow-through

Nothing quietly dropped

Handoffs chased to completion across teams and systems, closing when the outcome is done rather than when the thread goes quiet.

Reporting

Written where it lands

The recurring pack assembled from live data and delivered where your team already works, on the cadence you set.

The engagement

We do the work required to make it real.

Software alone does not change how an operation runs. We are not a consulting firm and we do not sell you a team: we build the system, deploy it into your operation, and hand it over. Every engagement follows the same three stages.

01

Scope

We sit with your operators and map the recurring work: what happens, who touches it, where it stalls, and what it costs you. You get a written view of the work worth handing over, ranked by value and by risk.

Findings, not a proposal

02

Build

We configure the agents, workflows, and integrations against your real systems, with access scoped and approval gates set where they belong. It runs in your workspace, on your data, owned by you.

Built in your environment

03

Operate

We stay close through rollout, tune what the first weeks reveal, and train your team to run and extend it. Then we step back. The system does not need us to keep working.

Handed over, not held hostage

Agentsapp.agentos.net/agents
The AgentOS agents view: Otto alongside agents running on Claude, GPT, Devin, Manus, and Codex, each with its connected systems and current status

A worked example

One opportunity, from inbound to committee.

This is a single deal moving through a system we deployed. Nothing here is a model answering a question. Every step is scoped work with a named owner, and the two decisions that matter still belong to a person.

  1. TriggerRuns automatically

    A deck lands in the shared inbox

    The opportunity is created, the sender matched against prior contact, and anything already known about the company is attached before anyone opens it.

  2. Research agentRuns automatically

    Background assembled

    Market, competitors, team history, and prior coverage pulled together, with every claim linked back to the source it came from.

  3. Analysis agentRuns automatically

    Scored against your thesis

    Checked against the criteria your firm actually uses, with the mismatches stated plainly rather than buried at the end of a summary.

  4. YouWaits for your decision

    Pursue, or pass

    The system has prepared the decision and stops. Pass, and it writes the reason to the record. Pursue, and the next stage begins on its own.

  5. OttoRuns automatically

    Diligence tracked and chased

    Outstanding requests monitored against the data room, owners chased when items go quiet, and what was promised reconciled against what actually arrived.

  6. OttoRuns automatically

    The committee pack, written

    Drafted in your format, from your own materials, with the open questions and the evidence behind each one attached.

  7. CommitteeWaits for your decision

    The decision, made by people

    The judgement was always yours. What changed is that it arrives prepared, on time, and with the work behind it already done.

Swap the trigger and the criteria and the same shape covers a renewal, a claim, an onboarding, or a compliance review.

Governance

Built for the questions your risk team will ask.

Autonomy is earned per action. Anything consequential waits for a person, and every action leaves a record behind it.

Single sign-on

SSO across every surface, with role-based access control.

Scoped permissions

Access granted per agent and per system, not per user account.

Approval gates

Human sign-off required on any action you classify as consequential.

Evidence and audit trail

Every action recorded with the evidence it acted on.

Data residency

Residency options for regulated industries and regional requirements.

Custom integrations

Internal and legacy systems wired into the same shared context.

Bring your own models

Run the providers you are already approved for, side by side.

Dedicated team

A named team through evaluation, rollout, and the first quarter.

"Forty people all using AI individually. AgentOS is the first thing that made it a company capability."
Chief of Staff

Find the right work for AgentOS

Tell us about your operation.

A thirty-minute call. We will tell you honestly whether you need the deployment team, or whether the product on its own is enough.

Already running agents? Bring them. AgentOS orchestrates the ones you have.