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The useful cost of AI

by the AI for leaders team

FinOps, model selection, agents and sovereignty: practical methods for moving from experiments to measured usage.

Enterprise5 min read

AI seats or tokens: calculate total cost without a false comparison

A reproducible way to compare a per-seat plan with usage billing, without confusing list price with total cost.

By Alexandrine Marjollet · November 5, 2026

Use cases9 min read

Internal support assistant: trusted answers, controlled costs

Design an internal support assistant around authorized sources, human escalation, and cost per resolved request.

By Alexandrine Marjollet · October 17, 2026

Engineering6 min read

Shipping an enterprise agent: the LLMOps practices to clear in testing

A demo that holds on a curated sample is not a production go. The test phase is where four practices (business evals, tool-call traces, drift and cost, rollback) decide whether traffic can widen.

By Florian Gabon · October 13, 2026

Enterprise7 min read

Central AI layer, embedded suite AI, or build: a decision matrix for the CIO

The PoC proved the use case. The next decision is ownership: build it, take AI already inside business suites, or hold a vendor-independent central layer the enterprise controls.

By Alexandrine Marjollet · October 9, 2026

Sovereignty7 min read

Sovereign AI infrastructure vs Copilot and Claude: what an enterprise IT organization should actually compare

SaaS assistants make employees more effective. For a multi-BU enterprise information system, the real question is a controlled AI layer: data residency, governance, audit, FinOps, and exit from vendor lock-in.

By Florian Gabon · October 5, 2026

Enterprise7 min read

Mutualizing enterprise AI cost: budget governance and a vendor-agnostic central layer

SaaS seats, API tokens, business clouds, and shadow AI: without a central layer, AI spend stays a pile of contracts. AI for leaders recenters quotas, chargeback, and audit.

By Alexandrine Marjollet · September 22, 2026

Engineering5 min read

Why an AI Gateway becomes the control plane of your AI stack

As models and tools multiply, without a single choke point Shadow AI moves to the LLM layer. An AI Gateway recenters auth, quotas, routing, and audit.

By Florian Gabon · September 21, 2026

Engineering5 min read

Enterprise MCP: wiring agents into the IS without Shadow AI

A standard tool contract, real user identity, a governed catalogue: how MCP lets you connect agents to the IS without opening the door to Shadow AI.

By Florian Gabon · September 16, 2026

Sovereignty5 min read

AI for leaders as a trusted AI layer inside the IS

Shadow AI, prompt leakage, unsanctioned tools: the real risk is not the model, it is the missing controlled layer in the information system.

By Florian Gabon · September 11, 2026