The Shapes of Collaboration
A framework for understanding how collaborating systems work — and what changes when the collaborators are LLM agents.
Agentic AI · 15 min
One engagement builds the platform and moves your people into a new way of working. All of it happens in a room where every document, decision and number is visible to you from the first week. This is one, opened.
Overview
In deliveryDiscovery & architecture
Weeks 1–3
Foundational sprint
Weeks 4–7
Iterative delivery
Weeks 8–20
Autonomy handoff
Weeks 21–24
What's next
Cycle 6 review
Jun 6 · Vantor · Matrice
Dispatcher override policy
Jun 13 · Vantor
Second region enabled
Jun 24 · Vantor
Who owns it
Matrice delivery
Build
Platform team
Building alongside
Dispatch leads
Deciding scope
North-star measures
| Jobs replanned per day | 40 | 400 |
| Dispatcher touches per job | 3.2 | 0.9 |
| Same-day completion | 61% | 80% |
Documents
Vantor Industrial is a demonstration, not a client. Real rooms are private to the people in the engagement.
Three kinds of system, usually together. The agents are the point; the rest is what makes them able to do anything useful.
Autonomous agents that do real work inside your workflows: reasoning, deciding, and executing where a person used to sit. The part your team learns to direct rather than perform.
The platform underneath: distributed systems, real-time APIs, data pipelines. Purpose-built for your domain, because the agents are only as good as what they can reach.
A living replica of your physical and operational systems, so decisions can be simulated before they are made and agents have something faithful to act against.
The room fills up as we go. Watch what lands in it at each phase, and who the work belongs to by the end.
We map the domain, the constraints and the way the work actually runs today. It ends in a system architecture, a data model and a plan you can argue with.
Vantor Industrial
DiscoveryWhat's next
Walk the dispatch floor, Lyon depot
Mar 4 · Matrice
Architecture review with platform team
Mar 11 · Matrice
Sign off the data model
Mar 18 · Vantor
Who owns it
Alex Collet
Architecture
Head of Field Ops
Sponsor
The core goes in: APIs, data pipelines, authentication, deployment. Every decision is written down where you can read it, not held in someone's head.
Vantor Industrial
BuildingWhat's next
Scheduling service to staging
Apr 2 · Matrice
Baseline the four measures
Apr 8 · Matrice
First agent run, shadow mode
Apr 15 · Matrice
Who owns it
Alex Collet
Architecture
Matrice delivery
Build
Platform team
Reviewing
Two-week cycles, each ending in something deployed. Your team is in the room the whole time, and progressively doing more of the deciding.
Vantor Industrial
In deliveryWhat's next
Cycle 6 review
Jun 6 · Vantor · Matrice
Dispatcher override policy
Jun 13 · Vantor
Second region enabled
Jun 24 · Vantor
Who owns it
Matrice delivery
Build
Platform team
Building alongside
Dispatch leads
Deciding scope
Runbooks, monitoring, and the operating model itself. Ownership moves across. The room stays; we leave.
Vantor Industrial
Handing overWhat's next
On-call rotation moves to Vantor
Aug 5 · Vantor
Final runbook walkthrough
Aug 12 · Vantor
Engagement closes
Aug 19 · Vantor
Who owns it
Platform team
Owns the system
Dispatch leads
Own the operating model
Matrice
On call until Aug 19
Every system, decision and runbook in this room belongs to Vantor. The room stays open after we leave.
Overview
DiscoveryDiscovery & architecture
Weeks 1–3
Foundational sprint
Weeks 4–7
Iterative delivery
Weeks 8–20
Autonomy handoff
Weeks 21–24
What's next
Walk the dispatch floor, Lyon depot
Mar 4 · Matrice
Architecture review with platform team
Mar 11 · Matrice
Sign off the data model
Mar 18 · Vantor
Who owns it
Alex Collet
Architecture
Head of Field Ops
Sponsor
North-star measures
Baselines land with the foundational sprint.
Documents
Vantor Industrial is a demonstration, not a client. Real rooms are private to the people in the engagement.
Vantor Industrial is a demonstration, not a client. Real rooms are private to the people in the engagement.
Model any company. See where AI agents fit.
A résumé you can interview
A journal worthy of the science it carries
We write down what we believe about this shift, at length, before anyone pays us. If you want to know how we would approach your problem, this is the most honest preview there is.
Languages
Services & interfaces
Data & platform
Agents
Tell us what your team is trying to do and where it keeps getting stuck. If we are the right people for it, the first phase starts with mapping that properly.
or write to alex@matricetechnologies.com