Dotwork captures the real operating model of your business - the teams, goals, workflows, and dependencies that often live in slides, spreadsheets, or the heads of a few key people.
Think of it as a shared map of how things actually work. You can trace why a project is stuck, see where responsibilities overlap, or explore the knock-on effects of a decision
For leaders, it means fewer blind spots. For teams, it’s clarity on how their work connects. For product owners and consultants, it’s a way to spot gaps, opportunities, and risks before they bite.
The benefit is simple: Dotwork helps organisations move from static reporting to continuous alignment, turning strategy from words on a page into something executable and adaptable.
Most organisations suffer when strategy and operations fall out of sync. Strategy lives in polished presentations; operations live in tools, habits, and workarounds. When the two misalign, energy leaks: teams duplicate effort, priorities drift, and decisions stall.
Dotwork was born out of years of organisational design work, where we saw this problem again and again. We built the platform to close the gap, to align how an organisation thinks with how it operates. It means strategy can be expressed not just in documents, but in a living system that shapes decisions, coordinates work, and adapts as things change.
We didn’t set out to build an AI company. We set out to solve the persistent, boring, unsolved problems of connecting strategy and execution in large enterprises. But in making the implicit explicit, capturing strategic context, aligning teams, connecting data, and wiring up operating models, we realized very quickly we were creating the foundation AI needs to actually work in the enterprise.
At the heart of Dotwork is the operating model - the way a business creates, delivers, and captures value by organising people, processes, goals, and resources. Most companies have one, but few can see it clearly.
We call this intelligent structure: a representation of how the parts of a business fit together, designed to be both human-readable and machine-usable. Intelligent structure makes it easier to spot bottlenecks, coordinate across silos, and understand the ripple effects of decisions.
It’s not bureaucracy. It’s the opposite: turning the hidden complexity of an organisation into something you can work with, adapt, and improve. AI can benefit from this, but the core value is human.
To make structure usable, Dotwork builds on two key concepts: ontologies and knowledge graphs.
An ontology is a structured understanding of what exists in your organisation, how those things relate, and why they matter. It’s the shared semantic foundation, the difference between simply documenting work and actually modelling it.
Ontology → makes meaning (context)
A knowledge graph instantiates that ontology. It’s the connected web of teams, goals, products, processes, and dependencies that you can navigate and explore. Together, ontology and graph turn scattered data into a meaningful model.
Knowledge Graph → makes connections (data)
For business leaders, this means clearer planning and coordination. For teams, a shared language that cuts across silos. And for hybrid operations, human and AI working together, it provides the continuity, memory, and context agents need to make judgment calls in complex environments.
Clarity over complexity
The interface is built to be visual and approachable, letting teams drag, connect, and edit without needing technical expertise.
Structured, not static
Everything you model is dynamic: update a dependency and it flows through the system, exposing knock-on effects in real time. Leaders can even run ‘what-if’ scenarios and watch potential impacts ripple across the model.
Built for what’s next
Every design choice, from graph-native architecture to semantic layering, ensures organisations are not just digitised, but ready for agentic operations.
In the age of too much - too many inputs, too many tools, too little clarity - Dotwork provides the scaffolding for focus and alignment.
By making operating models explicit, it helps organisations move faster without losing coherence. By weaving human judgment with machine reasoning, it lays the groundwork for hybrid teams of people and agents.
Dotwork reframes strategy not as a one-off exercise, but as a living system that can be navigated, adjusted, and executed every day.
How we've applied ontologies - see3.io
See3 helps organisations reach a shared understanding of their situation, develop consistent approaches to resolving problems and efficient ways to respond to change.
The aim of see3 is to provide tools that make the planning stages of an endeavour easier to carry out, so that once you get to the operational stage it’s easier for people to act quickly and do the right thing.
Assemble
A visual interface allows you to map out and define the structure of the network that will need to deliver your endeavour – the companies, agencies or other groups who will be working together to deliver services or get tasks done.
Orchestrate
Once you have the pieces assembled, you next need to define the rules of the game. see3's Orchestrate module allows you to plan for different scenarios, map out the interactions that need to happen across the network and then play them back - debugging them to expose gaps or weaknesses.
Deploy
The aim of see3 is to provide tools that make the planning stages of an endeavour easier to carry out, so that once you get to the operational stage it’s easier for people to act quickly and do the right thing.