Structure Discovery
Structure Discovery is the twin itself, built from how your organization actually works.
Engagements
Three moments where the evidence changes the decision.
Structure Discovery
How work actually moves across people, process and systems, from conversations with the people doing it.
See how it worksMerger & Acquisition
Both operating models, read side by side for the integration risk no org chart carries.
See how it worksAI Adoption
The same work, read task by task for what automation can take now and what it cannot.
See how it worksHow it fits together
Structure Discovery is your digital twin.
The twin comes first. Everything else adds depth on top of it.
Drawing. Structure Discovery appears first as a platform carrying the digital twin, then two layers attach to its edges one at a time: Merger & Acquisition on the left, AI Adoption on the right.
Merger & Acquisition
Merger & Acquisition attaches to the twin and reads it for integration risk.
AI Adoption
AI Adoption attaches to the same twin and reads it for where automation is ready.
Structure Discovery, the foundation
Your organizational knowledge starts here.
The operating model, the gaps and the opportunities, built from anonymous conversations with the people doing the work.
Drawing. Fog lifts across a map to reveal six points one at a time, then three paths connecting them, the way Structure Discovery reveals how work moves.
What this looks like
Your organization has been changing for years and nobody wrote any of it down. OWI has one conversation with each person and what they say becomes the model you decide from.
What you get
- 01
An operating model of how work actually flows
- 02
The gaps and the opportunities across your departments
- 03
A report whose every finding is based on your reality
Merger & Acquisition, the integration risk layer
Know where integration creates value.
Deeper clarity on integration risk, from the people and systems both sides depend on to the operating norms neither side ever wrote down.
Drawing. Two rings of four nodes turn in opposite directions, and the lens where they overlap is the one filled shape, the way two operating models resolve into one.
What this looks like
Two teams with different release rhythms are being merged into one. Structure Discovery has already mapped both operating models, so Merger & Acquisition starts from that picture and flags where forcing a single process on day one would slow releases down instead of speeding them up.
What you get
- 01
Overlaps and conflicts named before day one
- 02
Integration priorities sequenced by risk and by value
- 03
One evidence base both sides can check
AI Adoption, the automation layer
Know where automation creates value.
Deeper clarity on automation, from trust and governance to what is blocking adoption today and what should come next.
Drawing. Four task nodes flow into a central automation hub while two are held back on the vertical axis, the two where human judgment stays.
What this looks like
A support team is weighing an AI ticket routing tool. Structure Discovery has already mapped the process, so AI Adoption goes straight to which steps are ready to automate today and which still need a person in the loop.
What you get
- 01
An honest read on trust, governance and AI readiness
- 02
What is blocking adoption today
- 03
A view of what automation should tackle
The experience
Employees book their own time.
Each person picks their own slot through a personal link, for one 30 minute phone conversation.
Employees choose their own time. No admin back and forth.
- No scheduling emails back and forth
- No identity questions at the start of the call
- In English or in French, each person's choice
Built on trust
Every engagement, the same standard.
Grounded in your own evidence. Never synthesized, never guessed.
No individual scoring
Responses are aggregated. Nothing in a report is ever attributed to a person.
Based in your reality
Every finding comes from the conversations with your own people, and stays grounded in your reality.
Compliant by design
Built to Loi 25, PIPEDA, and GDPR standards, from the first call to the last recommendation.