Re-Think Your Operating Model — Live, with AI

A 1-hour interactive session for Operating Model Owners, Transformation Owners, and modeling practitioners. We start with an empty canvas and build a knowledge graph of an operating model from scratch — live, with you, with AI in the loop.

Most enterprises run on operating models that live in tacit knowledge, scattered documents, and the heads of senior people.

What if you could turn that mess into a queryable knowledge graph — in real time, with AI doing the heavy lifting?

In this 1-hour live session you'll watch (and join in on) the build itself. We put a fictitious company on the table, share the kind of artifacts most enterprises actually have — a leadership memo, a process write-up, a KPI snapshot, a strategy slide or two — and build an knowledge graph of the company's operating model live with AI.

No prepared demo, no polished result. Just the workflow, as it happens.

Agenda

• 5 min — The problem. Why operating-model conversations stall on slide decks and out-of-date documents — and what changes when you can build the model collaboratively, with AI, in the room.
• 30–40 min — The live build. A fictitious company (we'll share the brief on the day). A handful of typical artifacts. An empty knowledge graph.

We:

• Describe the situation to the AI assistant.

• Share the documents and watch the assistant parse them.

• Build the knowledge graph node by node — capabilities, processes, decision rights, KPIs, dependencies — with the audience suggesting what to ask next.

• Surface tensions, gaps, and the decisions that fall out.

• 10–15 min — Q&A and what's next. Your questions on the build, the platform, the method; a walk-through of our AI-Driven Operating Model Workshop (our full-day version on your operating model, with your real documents)

Who it's for

• Operating Model Owners — CEOs, COOs, CTOs and other senior leaders accountable for how the enterprise actually runs, who want their operating model to be a queryable, improvable artefact rather than tacit knowledge spread across people and slide decks.
• Transformation Owners — accountable for a specific multi-stakeholder enterprise transformation, looking for ways to keep the model of the work explicit and useful as the programme evolves.
• Modelling practitioners — enterprise architects, business engineers, knowledge engineers and operations researchers who already work with structural and process models and want to see what an AI-grounded, computational version of that practice looks like.
• Anyone curious about how AI assistants behave differently when grounded in a typed knowledge graph of an enterprise rather than scraping a pile of documents.

What you'll take away

- A first-hand view of the workflow: how a computational knowledge graph gets built from prose-and-doc inputs, live, with AI.
- A clear picture of the difference between AI-on-documents (RAG) and AI-as-co-modeller
- A concrete next step if you want to do this on your own operating model — same workflow, your data, more time.