AI Intelligence & Technology Monitoring
Artificial intelligence changes faster than most organisations can review it. AI.com.gp builds monitoring set-ups that turn a stream of announcements into a clear reading of what matters for your decisions.
We work with companies, institutions, media organisations and public decision makers. Each assignment is designed to order: we identify the technologies that are genuinely emerging, compare the solutions available on your market, follow the regulatory calendar and flag the opportunities and risks that concern your own activity.
From information to strategic decisions.
The subject is not short of information. It is short of hierarchy. Six recurring difficulties explain why internal teams struggle to keep a reliable reading of the field.
Models, versions and features are released continuously, often with partial documentation at launch. Reading everything is impossible; separating a genuine capability change from a marketing update is the real difficulty.
Public evaluation scores rarely match the conditions of a specific workflow. A model that leads a leaderboard can underperform on your documents, your languages or your latency and cost constraints.
Usage terms, licence conditions and data retention policies change without warning, sometimes between two versions of the same product. What was contractually acceptable last quarter may no longer be.
Inference cost models, context limits and volume behaviour make budgeting uncertain. Teams commit to a tool during a pilot, then discover that production volumes change the economics entirely.
Obligations arrive in stages, and sector regulators add their own expectations on top of general frameworks. Compliance work has to start well before the text that applies to you takes effect.
Tools spread through teams faster than internal rules can follow, often outside any approved list. Understanding what is already used, and on which data, is part of monitoring the subject.
Every assignment is assembled from the services below, in the combination that answers your question. A technology watch can be paired with a regulatory watch, a benchmark with a feasibility study, a continuous alert channel with a quarterly report. Nothing is packaged in advance: the scope is written with you before any work begins.
A continuous reading of how artificial intelligence technologies evolve on the subjects you have chosen, separating the capability changes that affect your organisation from the announcements that will never reach it.
For: Chief technology officers and technical directors · Innovation and research and development teams · Enterprise and solution architects
Systematic tracking of the models, versions, interfaces and tools you depend on, so that a deprecation, a behaviour change or a new usage condition never reaches you as a surprise.
For: Technical teams operating systems built on external models · Product managers responsible for features that depend on those models · Information system and infrastructure managers
A structured comparison of professional artificial intelligence solutions against criteria that reflect your own constraints, so that a supplier choice can be documented and defended.
For: Purchasing departments and procurement teams · Chief information officers and technical directors · Legal and compliance teams reviewing contractual conditions
Continuous monitoring of the rules that apply to artificial intelligence in your sector: legislative texts, regulator positions, standards and the ethical expectations your stakeholders now express.
For: Legal directors and compliance officers · Data protection officers and risk managers · Public affairs and institutional relations teams
Structured monitoring of the players who shape artificial intelligence in your market: model developers, software publishers, integrators and the competitors whose moves change your own options.
For: Strategy and market intelligence teams · General management and executive committees · Marketing and product management
An independent assessment of whether a planned artificial intelligence project is realistic given your data, your constraints and the state of the technology, before budget is committed to it.
For: Executive committees and investment committees · Project sponsors and business department heads · Chief information officers and technical directors
Monitoring is only useful when it changes something in the decision. These are the practical effects our clients look for when they set up an assignment.
You receive an interpretation, not a feed. Each item is placed in context: what changed, what it affects in your organisation, and whether it calls for a decision now or later.
We do not resell, integrate or represent any technology provider. Announcements are read against documentation, terms of use and independent evaluations before they are passed on to you.
Some subjects justify a same-day alert, others a monthly synthesis. The frequency is set according to how quickly your organisation can actually act, not according to the volume of news.
Every element we report is sourced and dated, so your teams can verify it, cite it internally or reuse it in a technical, legal or budget discussion without starting the research again.
The field publishes in English while your internal decisions may be taken in French. We work in both, and add other languages when the subject or the market requires it.
Scope, sources and formats are reviewed as the subject moves. A watch that made sense at the start of a project rarely fits it unchanged six months later.
The same sequence applies to every assignment, from a single study to a continuous watch. It is what makes the result verifiable rather than impressionistic.
We start from the decisions you have to take, not from the technologies. The question comes first; the monitoring perimeter follows from it.
Subjects, exclusions, markets, languages and rhythm are written down and validated. Nothing starts before that document is agreed.
Sources are chosen case by case: technical publications, official registers, regulatory texts, vendor documentation and specialised professional press.
Material is gathered continuously, then filtered. Duplicates, recycled announcements and unverifiable claims are removed before the analysis stage begins.
Digital tools help with volume; the reading, the comparison and the judgement of relevance remain human and are attributed to a named analyst.
Alerts, syntheses, benchmarks or reports are written in the format agreed, with sources, dates and an explicit level of confidence.
We review what proved useful and what did not, then adapt sources, filters and frequency. The watch follows the subject as it changes.
The format is a choice, not a constraint. A single assignment often combines a fast channel for time-critical items with a slower one for analysis.
There is no catalogue offer to sign up to. We begin with a conversation about the decisions ahead of you, then propose a written scope: the subjects covered, the sources retained, the frequency, the languages, the format of each deliverable and the way we will handle a subject that turns out to be more or less productive than expected. Work starts only once that scope is validated.
The questions organisations ask us most often before starting an assignment.
No. We monitor, compare and analyse; we do not resell software, take commission from vendors or deliver integration work. That separation is what allows a benchmark to be read as an assessment rather than a recommendation with a commercial interest behind it.
It depends on the breadth of the scope. A watch on a defined subject, with sources already identified, can start within days of the scope being validated. A wider set-up covering several markets, languages and regulatory frameworks needs a longer preparation phase before the first deliverable.
Yes. The distinction matters for licensing, hosting and data residency, so both are followed. We look at what a licence actually permits for commercial use, what a self-hosted deployment demands in practice, and how the two options compare for your specific constraints.
Your subject, your questions and the existence of the assignment are treated as confidential. We do not publish client names or reuse the material produced for you in another assignment. Specific confidentiality commitments can be signed before any exchange of documents.
English and French for both sources and deliverables. Other languages are covered on request when a market or a regulatory framework justifies it. Deliverables can be produced in one language while sources are followed in several, which is common on this subject.
It usually is. A watch reveals which sources produce useful material and which do not, and your own priorities move. We plan a review point to adjust subjects, sources, frequency and formats rather than running an unchanged set-up to the end.
Tell us which decisions you need to support, on which technologies and on what timeline. We study each request individually and come back with a written scope proposal before any work is engaged.
Every request is reviewed confidentially. No commitment is required to discuss a scope of work.