Business Innovation & Development
Identify AI opportunities that create new sources of growth.
Your Innovation teams are exploring, testing, ideating, but are struggling to transform these initiatives into concrete business value. We structure the transition from the idea to the validated MVP, with an economic framework from day one and a go/no-go logic that avoids burning the budget on dead ends.
+150 companies supported
— 5/5 Google reviews
Benefits/Impacts
What it brings
Concrete results for your organization, measurable from the first weeks of intervention.
01
AI opportunities evaluated on their business potential
An impressive demo use case is worthless if it doesn't solve an expensive problem. We filter opportunities by business impact before investing an hour of development.
02
Shortened time-to-value
From the idea to the MVP tested in real conditions in a few weeks, not in a few quarters. Our rapid prototyping methods validate the value before starting industrialization.
03
Evidence-based go/no-go decisions
Each initiative involves a framework that answers three questions: what is the problem, how much does it cost, and can AI solve it better than the existing one. If the answer is no, stop early.
04
A structured innovation pipeline
No more scattered initiatives carried out by isolated individuals. We set up a repeatable process to identify, evaluate, and launch AI use cases on an ongoing basis.
05
A direct link between innovation and operations
The MVPs we build are designed to be industrialized, not to stay in a lab. The transition to Build or Scale is anticipated from the design stage.
Chapters
Our expertise
The skills and know-how that we mobilize to deliver results on this expertise.
Tools/Partnership
How do we implement this expertise
Innovation is not based on a tool but on a method. We combine structured exploration frameworks with rapid technical prototyping capability to turn ideas into proofs of value.
Amazon Web Services
Google Cloud
Azure
Apache Airflow
Power BI
Amazon Web Services
Google Cloud
Azure
Apache Airflow
Power BI
Amazon Web Services
Google Cloud
Azure
Apache Airflow
Type of projects
What we deliver
Operational deliverables, not recommendations. Here are the mission formats that we deploy on this expertise.
01
AI opportunity detection sprint
In 2 to 4 weeks, we map high-potential AI use cases in your organization, prioritize them by business impact and deliver a shortlist with business case for each one.
02
AI MVP in 6 to 10 weeks
Development of a functional prototype tested in real conditions by target users. At the end: a numerical proof of value and an industrialization plan if the answer is given.
03
Ongoing AI innovation program
Implementation of a structured and recurring process to detect, evaluate and prototype AI use cases over time. A permanent innovation pipeline, not a one-off exercise.
04
Immersive AI session for COMEX
A half-day or a full day to make managers aware of the concrete AI levers applicable to their sector, with live demonstrations and workshops for the co-construction of use cases.
Business Cases
They got their teams involved in AI transformation
We do not deliver POCs. We deliver systems that work, with a measurable impact on the business of our customers.
Your questions, our answers
All the answers to understand our approach, how we work and what you can expect from our collaboration.
How do I detect AI opportunities in my company?
Detecting AI opportunities is based on a 2-4 week sprint that analyzes your processes, data, and business irritants. Diametral applies a systematic scoring grid (impact, feasibility, urgency) then returns a backlog of prioritized opportunities with value estimation, ready to arbitrate in the executive committee.
What is an AI opportunity sprint?
An AI opportunity sprint is a structured workshop of 2 to 4 weeks that mobilizes your business teams, your data experts and Diametral facilitators. The deliverable is a portfolio of qualified opportunities with business case, feasibility level and go/no-go recommendation for each one, thus avoiding dispersing the innovation budget.
How long does it take to deliver an AI MVP?
A Diamétral IA MVP is delivered in 6 to 10 weeks, compared to several quarters for a traditional project approach. This speed is possible thanks to a tight framework, short sprints with user demos and an architecture designed from the start for industrialization, without redesign when switching to production.
How to avoid wasting innovation budgets?
Avoiding budget waste requires a go/no-go logic at each stage: framing, prototyping, MVP, industrialization. Diametral imposes these decision-making doors with measurable criteria (adoption, value, feasibility) in order to quickly stop what is not working and invest more in what proves its value from the first weeks.
What is the difference between MVP and AI prototype?
A prototype demonstrates an idea in a few cases, an MVP works in real conditions with real users and real data. Diametral builds MVPs already designed for industrialization, which avoids the typical complete redesign between the validation and deployment phases, and accelerates time-to-value by several months.
contact
An AI idea worth testing?
Describe your intuition. A Diametral expert assesses the potential and offers you a framework in 48 hours.