From AI roadmap to operating model
Use Orgonaut to show how AI adoption changes team shape, role mix, management layers, ownership, and delivery capacity.
AI consultants
Turn AI transformation advice into an organisation model clients can act on.
Orgonaut helps AI consultants move beyond tool adoption plans by modelling the teams, roles, cost, capacity, and operating-model changes needed to make AI work in practice.
Consulting motion
Make the organisation model part of the engagement, not an appendix.
Package an AI SDLC Org Modelling Sprint around a concrete outcome: which work changes, which roles change, what the future engineering model looks like, and how leadership can compare the trade-offs before committing.
White-labelled delivery
Deliver the engagement under your own proposition while Orgonaut provides the modelling, scenario comparison, and source-of-truth layer.
A clearer executive recommendation
Replace static slideware with current-state and future-state models that leadership can inspect, question, and maintain after the engagement.
Workshops
What you can run with the client
Use Orgonaut to move the conversation from opinions to a shared current-state model, scenario options, and an agreed target state.
Workshop 1
Agree the AI adoption goal and the organisational outcome it must support.
Workshop 2
Map the current teams, roles, ownership, cost, and delivery constraints.
Workshop 3
Identify which SDLC activities are likely to change with AI agents and tooling.
Workshop 4
Clone Live View and build future-state team and role scenarios.
Workshop 5
Compare capacity, cost, delivery, risk, and governance trade-offs.
Workshop 6
Promote the agreed scenario to Live and hand over ongoing operating discipline.
Use Orgonaut under your proposition.
The commercial path is straightforward: referral partners receive 25% recurring monthly commission for the first 12 months and 15% thereafter. Implementation partners get the same commission structure and can charge clients directly for advisory and delivery work.