An AI project is often decided before the first line of code: which use case to address, which data to use, which architecture to choose and how to integrate it into the information system.
We help you make those decisions with the experience of a team that builds and operates Data & AI solutions itself.
We work out of Poitiers and Montréal, remotely or on your premises.
A first 30-minute conversation, no commitment.
ADEME Our recommendations rest on actual practice: ADEME entrusted us with industrialising a pre-screening agent built during the Dis-ADEME challenge.Since 2019
experience with Data & AI software genuinely in use
500+
organisations equipped with our compliance software
ADEME
a prototype selected, then entrusted to DPLIANCE for industrialisation
No vendor commission
no software or cloud to resell in our consulting engagements
AI consulting is about securing the decisions that precede or accompany an artificial intelligence project.
DPLIANCE works mainly on three areas: AI project audit and scoping, to identify and prioritise use cases; architecture and technical choices, to define how the solution should be built; and a fractional AI/Data CTO, to steer a roadmap with your teams over time.
What sets us apart: the consultants on these engagements also work on systems that are genuinely running in production.
The cost of a poor AI project is not only the cost of the prototype.
You also have to count integration that turns out too complex, insufficient data, a dependency that is hard to take over, underestimated running costs, or a regulatory constraint discovered too late.
Our role is to examine those questions before they become expensive.
Does this sound like your situation? Talk to an engineer
Two fixed-price engagements to decide, one subscription to steer. Each engagement is quoted on the basis of your context: scope, state of the data and depth of integration.
You have several project ideas, or simply a mandate to "do AI". We analyse:
You come away with prioritised use cases and a roadmap that lets you decide which ones to explore further.
Duration: usually 2 to 3 weeks
Read the guide: AI for SMEsYour use case is identified. Now you have to define how to build it. We work in particular on:
The result is documented so it can be used by your teams, by DPLIANCE or by another provider.
Duration: usually 3 to 4 weeks
Read the guide: sovereign AIYou have several projects to steer without needing a full-time Data & AI lead. We can step in to:
Duration: a few days per month
Torn between two formats? That is exactly what the first conversation is for. Talk to an engineer
Not every organisation needs a full-time CTO specialised in Data & AI.
They still have to make structural decisions from time to time: architecture, model choice, hosting, data governance, suppliers or recruitment.
Our fractional CTO offer brings that competence in for a few days a month, while gradually building up knowledge of your information system and your teams.
We also build solutions. That dual activity has to be stated plainly: it is useful experience, but it must not turn every consulting engagement into a sales pitch.
That is why our scoping and architecture engagements produce deliverables you can use without any obligation to build the rest with DPLIANCE.
If a product on the market answers the need properly, we can recommend it.
If your data does not yet allow the project to start, we have to be able to say so.
And if AI is not the right answer, that conclusion is part of good advice too.
The right mode comes down to one question: who builds?
You want to delegate the project through to production. Our team can take on architecture, development, integration and operations.
Discover our AI agencyYou already have internal teams or a provider. We frame the decisions and support the project, while delivery stays in their hands.
See the three consulting offersIn both cases, the scope is agreed before the engagement starts.
We talk through your situation, the projects you are considering and your main constraints. We work out whether a consulting engagement is genuinely needed.
You receive a scope setting out the objectives, deliverables, schedule and budget.
We work with the people concerned: executives, IT, business teams, the DPO, technical teams or providers.
The decisions and recommendations are documented. You can then continue with your teams, with another provider or with DPLIANCE.
The first step takes 30 minutes.
An AI consultant helps an organisation identify the right use cases, assess their feasibility, choose an architecture and organise the implementation. Depending on the engagement, the work can also cover data, suppliers, hosting, security or regulatory questions.
Read the guide: DPIA for an AI projectHiring makes sense when the volume of projects justifies a permanent skill set. When the need is mainly a handful of structural decisions, or a few days of steering per month, external support can be better proportioned.
Look in particular at its experience of projects genuinely put into production, the way it handles data and security, any commercial interests attached to its recommendations, the quality and reusability of its deliverables, and its ability to explain what is not worth building. The point of a scoping exercise is not to produce the biggest possible project, but to allow a better-informed decision.
The boundaries are not absolute. An IT services company is generally structured to deliver projects, a consultancy to advise, and an AI agency to build specialised solutions. DPLIANCE operates at the first two levels: a consulting offer that can stay independent of delivery, and an agency offer when you also want to entrust us with the build.
Our consulting engagements involve no licence resale and no vendor or hosting commission, and the scoping and architecture deliverables are designed to be usable without us. If the best answer to your need is a product on the market, that is what the deliverable will say. We do also build solutions: that is useful experience, and it is also why the scope of each engagement is agreed before it starts.
Each engagement is quoted individually, based on the scope, the state of your data and the depth of analysis expected. The scoping and architecture packages have an amount stated before work begins. The fractional CTO subscription is sized in days per month. Describe your need to an engineer to receive a priced proposal.
That is often preferable. Two to three weeks of scoping is enough to prioritise your use cases before committing to development. You then decide whether to go further. The fractional CTO subscription starts at a few days a month and adjusts from there.
That is the principle of the offer: we come in to support your teams, not to replace them. We work through the decisions with your IT department, review the architecture with your developers and assess your providers’ proposals.
You are free to choose. The deliverables are written to remain actionable by any competent team: yours or a third-party provider’s. If you choose to entrust us with the build, that falls under our agency offer. Delivery remains an option, not a condition of the consulting work.
Yes. Our CTO, Florian Gadal, is based in Montreal. We support Quebec and Canadian organisations on projects governed in particular by Law 25, with hosting and architecture recommendations aligned to their framework rather than transposed from the European one.
Read the guide: Law 25 in QuebecYour question is not here? Put it directly to an engineer
Tell us about your situation. The first conversation lasts 30 minutes and establishes whether you actually need an audit, an architecture, a fractional CTO engagement, or simply a few answers.
Reply within 24 business hours.
