Business Innovation and Development
Identify AI opportunities that create new growth drivers.
Your innovation teams explore, test, and brainstorm ideas, but struggle to transform these initiatives into tangible business value. We structure the process from idea to validated MVP, with a clear economic framework from day one and a go/no-go logic that prevents burning budget on dead-end projects.
+150 companies supported
— 5/5 on Google
Benefits / Impacts
What it delivers
Concrete results for your organization, measurable within the first few weeks of engagement.
01
AI opportunities assessed by their business potential
A spectacular demo use case is worthless if it doesn't solve a costly problem. We filter opportunities by business impact before investing an hour of development.
02
Accelerated time-to-value
From idea to MVP tested in real-world conditions in a few weeks, not a few quarters. Our rapid prototyping methods validate value before launching industrialization.
03
Evidence-based go/no-go decisions
Every initiative undergoes a framing process that answers three questions: what the problem is, how much it costs, and whether AI can solve it better than existing solutions. If the answer is no, we stop early.
04
A structured innovation pipeline
No more scattered initiatives driven by isolated individuals. We implement a repeatable process to continuously identify, evaluate, and launch AI use cases.
05
A direct link between innovation and operations
The MVPs we build are designed for industrialization, not to remain in the lab. The transition to Build or Scale is anticipated from the design phase.
Chapters
Our expertise
The skills and know-how we leverage to deliver results in this area of expertise.
Tools / Partnerships
How we apply this expertise
Innovation relies not on a tool, but on a method. We combine structured exploration frameworks and rapid technical prototyping capabilities to transform 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
Actionable deliverables, not just recommendations. Here are the types of engagements we offer for this expertise.
01
AI Opportunity Discovery Sprint
In 2 to 4 weeks, we map high-potential AI use cases within 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
Development of a functional prototype tested in real-world conditions by target users. Resulting in: a quantified proof of value and a scaling plan if the outcome is positive.
03
Continuous 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 Executive Committee
A half-day or full-day session to educate leaders on practical AI opportunities relevant to their industry, with live demonstrations and co-creation workshops for use cases.
Business Cases
They have structured their AI growth drivers with us
We don't deliver POCs. We deliver working systems with a measurable impact on our clients' business.
Your questions, our answers
All the answers to understand our approach, our way of working, and what you can expect from our collaboration.
How to identify AI opportunities in my company?
Identifying AI opportunities involves a 2 to 4-week sprint that analyzes your processes, data, and business pain points. Diametral applies a systematic scoring matrix (impact, feasibility, urgency), then delivers a prioritized backlog of opportunities with value estimates, ready for review by the Executive Committee.
What is an AI opportunity sprint?
An AI opportunity sprint is a structured 2 to 4-week workshop that engages your business teams, data experts, and Diametral facilitators. The deliverable is a portfolio of qualified opportunities, with a business case, feasibility level, and go/no-go recommendation for each — which prevents dispersing the innovation budget.
How long does it take to deliver an AI MVP?
A Diametral AI MVP is delivered in 6 to 10 weeks, compared to several quarters for a classic project approach. This speed is made possible by tight scoping, short sprints with user demos, and an architecture designed from the outset for industrialization, without redesign when moving to production.
How to avoid wasting innovation budgets?
Avoiding budget waste involves a go/no-go logic at each stage: scoping, prototype, MVP, industrialization. Diametral implements these decision gates with measurable criteria (adoption, value, feasibility) to quickly stop what isn't working and invest more in what proves its value from the first weeks.
What's the difference between an AI prototype and an MVP?
A prototype demonstrates an idea with a few use cases; an MVP operates in real-world conditions with real users and real data. Diametral builds MVPs already designed for industrialization, which avoids the typical complete redesign between validation and deployment and accelerates time-to-value by several months.
contact
An AI idea worth testing?
Describe your idea. A Diametral expert evaluates its potential and provides a scoping proposal within 48 hours.