Videos
Our analyses of what makes an artificial intelligence project hold — or fail — inside a company: the conditions, the costs, the responsibilities. Each video starts from a concrete case and ends with what remains to be decided.
In-depth

AI agents in production: the 3 conditions
7 min 32
What keeps an agent from leaving the pilot phase is almost never the model. This video sets out the three conditions to write down before production — explicit permissions, complete logging, human validation — and applies them to a concrete case: following up on pending quotes.
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AI agent: 3 cost lines the quote leaves out
7 min 16
An agent's price is not in the licence. Operations, data quality and skills: three lines that recur every month and decide the real cost. This video explains how to budget them honestly.
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Your agent executes. Who authorised it?
7 min 11
An assistant answers; an agent writes into your systems. That difference changes accountability, scope and traceability. This video shows what an agent actually commits, and under which conditions an organisation can carry it.
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The model is not the first question
6 min 33
Most projects start with “which model”. This video proposes the reverse order: the data, the use case, the named owner — and then the model, if one is needed.
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Your three data questions: quality, access, rights
6 min 04
A table can be correct while the view the agent reads is no longer current, and nobody sees it. This video sets out the three questions to settle before any model choice — freshness at the level of the object actually queried, written permissions, a named owner — then says plainly what they do not cover: running cost, team skills and the model.
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AI agent: 4 rights nobody wrote down
6 min 23
A service account created for a forgotten report keeps reading the database, and the agent that reuses it inherits rights nobody can enumerate. This video contrasts two ways of opening access, describes the three levels actually used and gives the four lines that bring an agent back to its scope: the source, the columns, the level, the name of the person authorising. It also says what that list does not cover — the quality of the data read, the correctness of the answer, the need for a review.
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AI agent: the 4 log lines your auditor will demand
7 min 56
A technical log proves that a query ran, not on whose behalf or under which authorisation. This video separates the two logs, sets out the three questions an audit will ask and gives the four lines that make the trace demonstrable: the timestamp, the agent's identity, the exact object touched, the decision with the name of whoever validated it. It then covers what makes a log hold — append-only writing, a decided retention period, an export readable without the tool — and says plainly what it does not prove.
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AI agent: 3 actions your agent will never approve itself
7 min 15
What changes on the day the agent is right is not accountability: it is the time spent validating. This video separates reliability, measured on a sample, from responsibility, which rests on a dated act. It names the three families of actions that keep a signature — payment, commitment, sending to a third party — gives the four conditions that make the arrangement hold, then says plainly what validation does not fix.
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On-prem LLM or API: 3 things decide
7 min 13
On-premises does not close the question of what leaves: it moves it. The video names the three real exits — the prompt, the document excerpt, the corrections that make the model useful — then compares what is comparable over three years. It ends on independence where it is actually decided: in the update, and in what you take with you when you leave.
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Data sovereignty: 3 questions, not a slogan
6 min 26
Data sovereignty is almost always confused with where data is hosted. This video separates the two words that dossiers merge, hosting and being sovereign, then asks the three questions that decide: where the data is stored, who can read it, and which law applies. It gives the six lines the contract must carry, names the three recurring confusions, the three-step method, and what sovereignty does not guarantee.
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AI total cost of ownership: 3 cost lines, not a price
6 min 35
An agent platform’s price is signed once; its cost is paid every month. This video separates the two words, then prices the three lines a quote never carries — operations, data, skills — with four costing rules and a checklist to run against an existing quote, line by line. It also says what a total cost does not cover: means can be counted, the value produced is only observed in use.
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A proof of concept that decides, not one that demos
6 min 25
A pilot that ends in a demo decides nothing. This video sets out the other arrangement: the five pieces written before the first line of code, three signatures — IT, business, security — and the order of the five steps, from written scoping to a signed decision. It also says what a pilot cannot settle: adoption, the value produced, and the running cost over time.
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7 roles, 6 refusals: where an AI agent acts
6 min 43
An assistant proposes; an agent writes into the system. The video separates those two verbs, sets four written conditions — an output a reviewer can check in a minute, a bounded write scope, a write that can be corrected or must be signed, a named trace — then applies them to thirteen common functions. Seven pass, from customer service to reporting; six steps, from granting credit to answering a regulator, stay human, and the video says why.
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CIMA reporting: what AI prepares, what stays signed
6 min 50
An insurance report is often signed before it is explained. The video names the four pieces an variance must leave behind — a dated source, the calculation and its version, the reconciliation, the explanatory sentence — then follows one variance from detection to filing, saying at each step whether the agent acts or stops. It sets out what an agent does not do, the three signatures that stay human, and what the method does not say.
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Telecoms: the cause before the complaint
6 min 51
A telecom operator often learns about an outage from the customer's call. The video separates detection, which compares a measurement with a threshold, from diagnosis, which looks for the cause across the equipment, the link, the configuration and the ticket, then crosses four signals already present in the information system. It follows one anomaly through five steps, says at each step whether the agent acts or stops, names the three roles accountable for service, and closes on what the method does not say.
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Utilities: the unpaid bill starts at the meter reading
7 min 29
At a water or power utility, meter reading and dunning sit in two departments that never talk to each other, and one assumes the other without ever checking it. The video names four discrepancies the data already holds — zero consumption on an active meter, an estimate carried forward, a connection still drawing on a closed contract, a payment received but not allocated — then follows a dunning case through five steps, saying at each step whether the agent acts or stops. It closes on what the agent never decides: correcting an index, granting a payment plan, cutting supply, qualifying fraud.
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Import CEMAC: 5 documents, 3 gaps that stop the file
6 min 10
In a CEMAC port, an import file rarely stalls on the vessel. The video takes apart the five documents that make it up — bill of lading, commercial invoice, packing list, certificate of origin, import declaration — and names the three gaps that stop it: names, weights, dates. It then follows one file through five steps up to filing with the customs broker, saying at each step whether the agent acts, flags, or stops.
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