Partner Preview

Add an AI org-modelling workstream to your consulting engagements.

Orgonaut gives AI consultants, fractional CTOs, and org design advisors a white-labelled modelling layer for restructuring recommendations, AI SDLC rollouts, operating-model reviews, and change programmes.

White-label delivery layer

Your Consultancy OS

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Live View
Current engineering org Source
AI SDLC target model Scenario
Cost and capacity delta Scenario
Change plan Scenario

Brandable

Repeatable

Accountable

Positioning

Do not sell another AI tool. Sell a better consulting outcome.

The strongest partner motion is not a generic affiliate programme. It is a partner-owned consulting offer: you use Orgonaut as the modelling and source-of-truth layer inside your client engagement, under your own advisory proposition.

That matters because AI adoption changes work design, team shape, management layers, capacity, cost, and governance. The recommendation needs somewhere to live after the workshop ends. Orgonaut gives the client a model they can inspect, compare, approve, promote, and maintain.

The market signal is consistent. McKinsey's State of AI 2025 points to workflow redesign as a core condition for scaled AI value. BCG argues that agentic AI value depends on redesigning how work and operating models function, and IBM's 2025 CEO research highlights the pressure to connect AI investment with enterprise execution. For AI SDLC rollout, org design is not a comms workstream at the end. It is part of the implementation.

Partner proposition

Use Orgonaut as a white-labelled extension of your consulting business

The client buys your judgement. Orgonaut makes the recommendation modelled, visual, explainable, and maintainable.

White-labelled consulting extension

Use Orgonaut behind your own proposition, workshops, and client artefacts. The client experiences a structured modelling workstream delivered by your firm.

System of record for the recommendation

Keep the agreed current state, scenario options, assumptions, deltas, and final target model in one place instead of spreading them across slides and spreadsheets.

Repeatable AI SDLC org sprint

Package a concrete engagement around moving engineering teams toward an AI-native delivery model, with clear goals, workshops, data capture, scenarios, and adoption steps.

Flagship offer

AI SDLC Org Modelling Sprint

A packaged engagement consultants can sell to engineering and technology leaders who want AI adoption to show up in the operating model.

Example client goal

Transition the engineering organisation toward an AI SDLC, improve delivery performance by 2x, and reduce staff costs by 20%, while preserving accountable ownership and delivery resilience.

1

Set the goal

Agree the client outcome, such as moving an engineering organisation toward an AI SDLC, doubling delivery performance, or reducing staff cost by 20%.

2

Capture the current organisation

Bring in teams, roles, reporting lines, allocations, ownership, cost, and delivery context from the client systems and interviews.

3

Validate Live View

Represent the current structure accurately in Orgonaut so the engagement has a shared system of record before scenario work begins.

4

Model future scenarios

Clone Live View, then use Orgonaut and its CLI with an AI agent to apply proposed team, role, cost, and capacity changes in a controlled scenario.

5

Promote and manage change

Once the recommendation is accepted, promote the scenario to Live and use Orgonaut to track moves, additions, removals, and ownership changes.

Abstract scenario comparison visual
White label

Make it look and feel like your consulting toolkit

Orgonaut can support partner-branded delivery where the consultant owns the client relationship and Orgonaut powers the model.

  • Co-branded or white-label reporting options
  • Partner-specific demo tenant and engagement templates
  • Client-ready scenario narratives and board summaries
  • A source-of-truth model that remains useful after your final workshop
Commercial model

Clear partner economics

Lead with the consulting engagement. Use the commission model to create recurring upside.

Referral Partner

For consultants who want to introduce Orgonaut to clients but keep implementation light.

Commercial

25% recurring monthly commission for referred sign-ups in the first 12 months, then 15% for subsequent months.

  • Make warm introductions
  • Help confirm client fit
  • No delivery obligation

Implementation Partner

For consultants who want Orgonaut to sit inside a paid consulting engagement.

Commercial

Same 25% / 15% recurring commission structure, plus your own implementation or advisory fees charged directly to the client.

  • Prepare and validate org data
  • Configure the client or demo tenant
  • Facilitate scenario workshops
  • Help leadership interpret the model

Strategic / White-label Partner

For firms embedding Orgonaut into an AI transformation, org design, or operating model offer.

Commercial

Custom commercial terms for repeatable partner-led practices.

  • Co-branded or white-label reporting
  • Repeatable workshop templates
  • Demo tenant support
  • Potential volume or portfolio pricing
Partner fit

A better lead magnet: qualify the partner before sending the pack

The Partner Pack should support a sales conversation, not replace it. The page now sells a concrete engagement and uses the form to identify serious partner fit.

AI transformation consultants

Fractional CTOs and engineering advisors

Operating model and org design consultants

Change-management and People Ops consultants

PE operating partners and value-creation advisors

Apply

Request the Partner Pack

Tell us where your consulting work fits. After submitting, you can open the Partner Pack and we may follow up about demo tenant access.

The pack includes the AI SDLC Org Modelling Sprint, discovery questionnaire, demo tenant notes, white-label positioning, outreach samples, and draft partner agreement outline.

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Partner Preview

Build a consulting offer clients can understand and act on.

We are looking for a small group of consultants and advisors who want to use Orgonaut as the modelling layer inside AI transformation, AI SDLC, org design, and efficiency engagements.