Business Innovation & Development
Identify the AI opportunities that create new growth drivers.
Your innovation teams explore, test and brainstorm ideas, but struggle to turn these initiatives into tangible business value. We structure the process from idea to validated MVP, with clear economic framing from day one and a go/no-go logic that avoids burning budget on dead-end projects.
+150 companies supported
— 5/5 on Google
Benefits / Impact
What it delivers
Concrete results for your organization, measurable from the very first weeks of our engagement.
01
AI opportunities assessed on their business potential
A use case that dazzles in a demo is worthless if it doesn't solve a costly problem. We filter opportunities by business impact before investing a single hour of development.
02
Shorter time-to-value
From idea to an MVP tested in real-world conditions in a few weeks, not a few quarters. Our rapid prototyping methods validate value before industrialization begins.
03
Evidence-based go/no-go decisions
Every initiative goes through a scoping phase that answers three questions: what is the problem, how much does it cost, and can AI solve it better than the current solution? If the answer is no, we stop early.
04
A structured innovation pipeline
No more scattered initiatives driven by isolated individuals. We set up a repeatable process to identify, assess and launch AI use cases continuously.
05
A direct link between innovation and operations
The MVPs we build are designed to be industrialized, not to stay in the lab. The move to Build or Scale is anticipated from the design stage.
Chapters
Our expertise
The skills and know-how we bring to bear to deliver results in this area of expertise.
Tools / Partnerships
How we put this expertise into practice
Innovation doesn't depend on a tool but on a method. We combine structured exploration frameworks with rapid technical prototyping capabilities 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
Project types
What we deliver
Operational deliverables, not recommendations. Here are the engagement formats we deploy in this area of expertise.
01
AI opportunity detection sprint
In 2 to 4 weeks, we map the high-potential AI use cases across your organization, prioritize them by business impact and deliver a shortlist with a business case for each.
02
AI MVP in 6 to 10 weeks
Developing a functional prototype tested in real-world conditions by target users. The outcome: a quantified proof of value and an industrialization plan if the answer is positive.
03
Continuous AI innovation program
Setting up a structured, recurring process to detect, assess and prototype AI use cases over time. A permanent innovation pipeline, not a one-off exercise.
04
Immersive AI session for executive committees
A half-day or full-day session to familiarize executives with concrete AI levers applicable to their industry, with live demos and use case co-creation workshops.
Business Cases
They structured their AI growth drivers with us
We don't deliver POCs. We deliver systems that work, with measurable impact on our clients' business.
Your questions, our answers
Everything you need to understand our approach, how we work and what you can expect from working with us.
How do I identify AI opportunities in my company?
Detecting AI opportunities relies on a 2- to 4-week sprint that analyzes your processes, your data and your business pain points. Diametral applies a systematic scoring grid (impact, feasibility, urgency), then delivers a backlog of prioritized opportunities with value estimates, ready for an executive committee decision.
What is an AI opportunity sprint?
An AI opportunity sprint is a structured 2- to 4-week workshop that brings together your business teams, your data experts and Diametral facilitators. The deliverable is a portfolio of qualified opportunities, each with a business case, feasibility level and go/no-go recommendation — which avoids spreading the innovation budget too thin.
How long does it take to deliver an AI MVP?
A Diametral AI MVP is delivered in 6 to 10 weeks, compared with several quarters for a traditional project approach. This speed is made possible by tight scoping, short sprints with user demos and an architecture designed from the start for industrialization, with no rebuild when moving to production.
How can you avoid wasting innovation budgets?
Avoiding budget waste requires a go/no-go logic at every stage: scoping, prototype, MVP, industrialization. Diametral enforces these decision gates with measurable criteria (adoption, value, feasibility) to quickly stop what doesn't work and invest more in what proves its value in the first weeks.
What is the difference between a prototype and an AI MVP?
A prototype demonstrates an idea on a few cases; an MVP works in real-world conditions with real users and real data. Diametral builds MVPs designed for industrialization from the start, which avoids the complete rebuild typical between validation and deployment and speeds up time-to-value by several months.
contact
Got an AI idea worth testing?
Describe your hunch. A Diametral expert will assess its potential and propose a scoping approach within 48 hours.