Organization Orchestra Nexus

An operating system for a governed AI workforce.

We are building one place to coordinate AI workers, connect organizational knowledge, choose models and keep permissions, approvals and costs in view.

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In development

Every AI action, cleared before execution.

Governed workflow overview

Illustrative data

DIGITAL EMPLOYEE

Research operator

Role boundaries, approved tools and scoped knowledge.

POLICY CHECK

Approval required

Sensitive actions pause for a named reviewer.

DIGITAL EMPLOYEE

Execution logged

Activity, model usage and cost remain visible.

Product preview. Interface and sample data are illustrative; capabilities are being developed.

AI work needs an operating layer

Models and tools are only part of the system. Teams also need shared context, clear permissions, approval paths and a record of what happened. O2N brings those controls into the way AI work is organized and executed.

We started on 28 February 2026 with a practical question: how can AI do useful work across a company without losing control of data, decisions or cost?

One connected environment for AI work

O2N is designed to connect the people setting direction with the AI workers, knowledge and systems carrying it out.

DEVELOPMENT SCOPE

01 Workspaces and Digital Employees

Give each AI worker a role, a working context and approved tools.

01 Workspaces and Digital Employees

Give each AI worker a role, a working context and approved tools.

02 Memory and knowledge

Make relevant organizational knowledge available within defined access boundaries.

02 Memory and knowledge

Make relevant organizational knowledge available within defined access boundaries.

03 Multi-model Gateway

Connect model access, routing, usage and budgets through one operating layer.

03 Multi-model Gateway

Connect model access, routing, usage and budgets through one operating layer.

04 Governed Runtime

Run workflows with policies, human approvals and a record of execution.

04 Governed Runtime

Run workflows with policies, human approvals and a record of execution.

05 Outcomes and visibility

Review activity, cost and defined KPIs, with richer outcome measurement developing over time.

05 Outcomes and visibility

Review activity, cost and defined KPIs, with richer outcome measurement developing over time.

From a request to a governed result

Follow a workflow through the product we are building. Routine steps can proceed within policy; sensitive actions can wait for human approval.

ILLUSTRATIVE PRODUCT WORKFLOW

  • 01

    Define the worker

    Set the role, responsibilities and operating boundaries.

  • 02

    Connect approved knowledge

    Choose the sources available within the worker’s access scope.

  • 03

    Choose model access

    Define routing, usage boundaries and budget controls.

  • 04

    Test and deploy

    Validate the workflow before controlled operation.

  • 05

    Review sensitive actions

    Approved — continue and record execution

    Rejected — stop and record the reason

  • 06

    Inspect the result

    Review activity, usage, cost and the defined outcome.

Our journey from design to real work

We are building O2N in stages: define the operating system, test it with real teams, then expand on evidence.

28 February 2026

STARTED

O2N project begins.

Foundation

DOCUMENTED

Product architecture, business planning and connected user journeys define the system we are building.

Now

IN DEVELOPMENT

Turning the product design into a stable MVP.

October 2026–March 2027

PLANNED

Complete the MVP build, harden security and prepare supported deployment paths.

April 2027

PLANNED

Run a focused design-partner programme targeting five companies, with defined workflows and success measures.

May 2027

TARGET

Begin commercial availability, subject to pilot readiness and product validation.

June–December 2027

PLANNED

Improve onboarding, reliability and measurement while developing SMB adoption and partner conversations.

2028–2029

DIRECTION

Expand deployment choices, channel distribution and enterprise capabilities as demand is validated.

2029–2031

LONG TERM

Deepen outcomes and cross-environment operation; introduce a marketplace only when recurring demand supports it.

Future dates are targets and may change as we learn.

Help shape O2N around real work

We are preparing a focused pilot programme for technical teams that want to run a measurable AI workflow with clear controls. The first programme is planned around five design-partner companies.

01

Share your workflow

02

Agree scope and success measures

03

Test with controlled access and usage

04

Review results together

A request is not a confirmed pilot place. Scope, timing, credits and commercial terms will be agreed separately.

Request pilot access
Frequently asked questions

01

Is O2N available today?

O2N is in development. We are preparing an MVP and a design-partner programme. The roadmap shows our current targets.

01

Is O2N available today?

O2N is in development. We are preparing an MVP and a design-partner programme. The roadmap shows our current targets.

01

Is O2N available today?

O2N is in development. We are preparing an MVP and a design-partner programme. The roadmap shows our current targets.

02

What is a Digital Employee?

An AI worker configured for a role, with defined tools, knowledge access, budgets and approval rules.

02

What is a Digital Employee?

An AI worker configured for a role, with defined tools, knowledge access, budgets and approval rules.

02

What is a Digital Employee?

An AI worker configured for a role, with defined tools, knowledge access, budgets and approval rules.

03

Is O2N only a model gateway?

No. Model access is one layer, connected with organizational memory, workspaces, governed execution and outcome visibility.

03

Is O2N only a model gateway?

No. Model access is one layer, connected with organizational memory, workspaces, governed execution and outcome visibility.

03

Is O2N only a model gateway?

No. Model access is one layer, connected with organizational memory, workspaces, governed execution and outcome visibility.

04

Will self-hosting be supported?

The MVP plan includes supported O2N-managed and self-host reference deployment paths for pilots. Broader automation and advanced hybrid capabilities will develop in later phases.

04

Will self-hosting be supported?

The MVP plan includes supported O2N-managed and self-host reference deployment paths for pilots. Broader automation and advanced hybrid capabilities will develop in later phases.

04

Will self-hosting be supported?

The MVP plan includes supported O2N-managed and self-host reference deployment paths for pilots. Broader automation and advanced hybrid capabilities will develop in later phases.

05

Does every action need approval?

No. Approval requirements depend on policy and risk. Routine work can proceed within defined boundaries.

05

Does every action need approval?

No. Approval requirements depend on policy and risk. Routine work can proceed within defined boundaries.

05

Does every action need approval?

No. Approval requirements depend on policy and risk. Routine work can proceed within defined boundaries.

06

How will pricing work?

The planned model combines platform subscriptions, metered usage and relevant deployment options. Pilot terms will be discussed before participation.

06

How will pricing work?

The planned model combines platform subscriptions, metered usage and relevant deployment options. Pilot terms will be discussed before participation.

06

How will pricing work?

The planned model combines platform subscriptions, metered usage and relevant deployment options. Pilot terms will be discussed before participation.

Tell us what you want AI to do

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