Design
Identify and redesign your critical processes.
Before building anything, you need to know where AI creates value and where it doesn't. We audit your business processes, identify high-impact use cases and design the target architecture of your future AI systems.
+150 companies supported
— 5/5 on Google
Challenges
The challenges you face
You know AI can transform your operations, but no one in-house knows where to start or how to prioritize the use cases that will generate a real return.
01
You don't know where to start.
There are many possible AI use cases, but no one in-house is in a position to prioritize those that will generate a real return.
02
Your AI initiatives remain at the idea stage.
Business teams have intuitions, tech teams have tools, but there is no shared roadmap to get from one to the other.
03
Your processes weren't designed for AI.
You're trying to graft artificial intelligence onto workflows designed 10 years ago. The result: marginal gains and POCs that never reach production.
04
You invest without visibility on ROI.
Data and AI budgets are growing, but no one can precisely quantify what these investments bring to the business.
Our answer
Our approach
We work both as advisors and on structured projects, with a commitment to results.
Audit
We audit your existing business processes, map your data flows and identify the friction points where AI can step in with measurable impact.
Prioritization
We assess each use case against three criteria: business impact, technical feasibility and time to implementation. You leave with a clear ranking, not a list of possibilities.
AI-native design
We redesign the target processes with AI built in by design, not as an add-on layer. Technical architecture, data flows, required models: everything is specified.
Roadmap
We deliver a detailed execution plan: milestones, required resources, estimated budget and expected KPIs. An operational document, not a consultant's report that ends up in a drawer.
Benefits / Impact
What you gain
A clear view of your AI use cases, a costed roadmap and processes redesigned to leverage artificial intelligence by design.
01
A clear view of which AI use cases deserve investment — and which don't.
We audit your business processes and assess each use case against three criteria: business impact, technical feasibility and time to implementation. You leave with a clear, well-argued ranking, not a list of possibilities.
02
Processes redesigned to leverage AI natively, not technology patches on outdated workflows.
Grafting AI onto a process designed 10 years ago only produces marginal gains. We rethink your critical workflows with artificial intelligence built in by design, for structural and lasting results.
03
A costed, realistic roadmap, validated by your business and tech teams.
Milestones, required resources, estimated budget and expected KPIs: we deliver an operational execution plan that your teams understand and support. A document that triggers action, not a report that ends up in a drawer.
04
A framework that accelerates everything that follows: Build, Scale and Run start on solid foundations.
Every hour invested in Design is a multiplier for what comes next. The architecture is specified, the data is mapped, the priorities are validated. The teams that take over know exactly what to build and why.
Your questions, our answers
All the answers to understand our approach, how we work and what you can expect from working with us.
What does the Design phase involve at Diametral?
The Design phase is the first step of the Diametral model: identifying and redesigning your critical processes for AI before writing a single line of code. Diametral audits your operations, prioritizes use cases by business impact and technical feasibility, then delivers an executable roadmap with budgets, milestones and target KPIs.
What is an AI process audit?
An AI process audit maps your business flows, available data and friction points to detect where AI creates real value. Diametral analyzes each process from three angles — business impact, data quality and technological feasibility — then delivers a use case scoring ready for executive committee decision-making.
How do you prioritize your AI use cases?
Diametral prioritizes AI use cases against three criteria: measurable business impact, technical feasibility and time to implementation. Each opportunity is scored and then placed in a quick wins / structural projects matrix, in order to arbitrate objectively between initiatives and avoid the budget dispersion typical of poorly structured AI programs.
What are the deliverables of the Design phase?
The Design phase produces four deliverables: a process audit with data mapping, a prioritized ranking of use cases with business cases, an AI-native target architecture and a costed execution plan. This package makes it possible to start the Build phase without delay and to secure the budget with the sponsor.
How long does a Design engagement last?
A Diametral Design engagement lasts between 4 and 12 weeks depending on the scope (entity, business unit, group). The deliverable includes an executive summary ready to be presented to the executive committee, detailed sheets for each use case and a costed 12- to 24-month roadmap.
contact
A process to rethink? Let's start with a conversation.
Describe your context. A Diametral expert will get back to you within 24 hours with an initial scoping.