Org in Action
See how work really moves through your organisation.
Org in Action creates a living graph of the people, teams, systems, decisions, artefacts, and hand-offs behind every outcome.
The problem
Make the invisible organisation legible.
Important work happens in spreadsheets, email, Slack or Teams, shared documents, and meetings. The graph connects these fragments so you can see the real dependencies, bottlenecks, exceptions, and transfers of context—without forcing people into a rigid workflow tool.
The gap
Hard for leadership, impossible to AI.
Organization-wide coordination and task tracking requires status meetings with inherent lag in information flow. Even then the overall picture is tacitly held by individual leaders. This doesn’t support systematic process improvement and offers no reference to ground AI agents.
The organisational process graph
A shared model for the work behind every outcome.
Bring the elements that shape an outcome into one operational view, so teams can trace dependencies, understand context, and improve the way work moves.
The transition
Redesign work for people and agents.
Using AI to drive business outcomes requires more than automating individual tasks. It requires redesign of entire organisational processes. AI changes how information is found, requests are interpreted, hand-offs are coordinated, and routine decisions are made. The process graph enables preserving human judgement and accountability where they matter while AI autonomy is gradually and transparently increased.
Trust by design
Use organisational context without giving up control.
On-edge summarisation can keep raw conversations and documents close to their source. Sensitive-data masking removes or replaces protected information before it is shared. Granular context controls scope access by organisation, team, role, process, source, sensitivity, and purpose—and make it auditable and revocable.
process graph
Product architecture
Useful grounding without an unrestricted copy of internal communications.
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On-edge summarisation
Raw conversations and documents can be processed close to their source, passing only the minimum useful process signals or summaries into the shared graph.
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Sensitive-data masking
Personal, confidential, regulated, or customer-defined data can be removed or replaced before information is stored, transferred, or made available to a model.
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Granular context controls
Access can be scoped by organisation, team, role, process, source, sensitivity, and purpose—then audited and revoked as needed.
Start a conversation
Build a trusted reference layer for your organisation.
See how an organisational process graph can help you understand, govern, improve, and run AI-driven business processes.