Building a sovereign AI system for executive operations, facilities, logistics, and decision support. Co-designed with TPO on an open AI platform.
TPO Management Services operates in a complex operational environment: Oracle-backed systems, air-gapped infrastructure, GPU clusters, and a growing need to consolidate operational intelligence across facilities, logistics, finance, and decision support.
The opportunity is to make TPO Management Services AI by design: connecting every system, every process, every decision into one Autonomous Intelligence Network.
The next phase moves from workshop discussion to a structured collaboration: co-designing AIN, an open-source operational intelligence platform built around TPO's actual technology strategy.
About this portal
AIN is the operational platform. ABI is the open-source operating system backbone that powers its agents, workflows, ontologies, integrations, and knowledge graph.
The same logic as BOB for Forvis Mazars: a platform built on open-source foundations, adapted to the operational context of the organisation, owned and controlled by the organisation.
Platform capabilities
Starting with the highest-value operational domains for TPO. Each use case is a concrete, deployable workflow built on the AIN platform and powered by the ABI operating system backbone.
ABI is the open-source operating system backbone powering AIN. Every component is replaceable. No dependency on a single model provider, no SaaS lock-in, no data leaving the organisation without explicit control.
AIN is the platform experience. The stack underneath is fully open and auditable.
AIN is designed to run entirely within TPO-owned infrastructure. No SaaS dependency. No data leaving the perimeter without explicit consent. Local models, controlled data flows, integration with Oracle and internal systems.
Deployable on TPO's existing servers and GPU clusters. Designed for security, privacy, and full operational control.
The consolidated workshop deck covers the foundational topics introduced at Vivatech Paris: sovereign AI architecture, open-source stack, procurement workflows, and the AI by Design Flywheel. Use as reference alongside the evolving AIN collaboration.
A four-step path from alignment to a live operational intelligence platform. Each step builds on the previous and produces a concrete deliverable.
Validate priorities, systems, constraints, and deployment environment. Define the scope of AIN Phase 1.
Map processes, systems, data sources, and first AIN use cases. Produce a structured design for S3 and S4 workflows.
Build the first operational graph and workspace around S3 facilities and S4 procurement. Live inside TPO infrastructure.
Expand toward full S1-S9 operational intelligence. Oracle integration, executive briefing layer, and continuous improvement loop.