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 for your future AI systems.
+150 companies supported
— 5/5 on Google
Problems
The challenges you face
You know AI can transform your operations, but no one internally knows where to start or how to prioritize use cases that will generate a real return.
01
You don't know where to start.
There are many potential AI use cases, but no one internally 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 insights, tech teams have tools, but there's no shared road map for moving from one to the other.
03
Your processes weren't designed for AI.
You are trying to add artificial intelligence to workflows designed 10 years ago. The result: marginal gains and POCs that never make it into production.
04
You invest without visibility on the ROI.
Data and AI budgets are growing, but no one can precisely quantify how much these investments bring to the business.
Response
Our approach
We provide both consulting services and structured project delivery, with a commitment to results.
Audit
We audit your existing business processes, map your data flows, and identify friction points where AI can intervene with measurable impact.
Prioritization
We assess each use case according to three criteria: business impact, technical feasibility and implementation time. You leave with a clear ranking, not a list of possibilities.
AI-native design
We are redesigning target processes by integrating AI by design, not on top of that. Technical architecture, data flow, required models: everything is specified.
Roadmap
We deliver a detailed implementation plan: milestones, required resources, estimated budget and expected KPIs. An operational document, not a consultant's report that ends up in a drawer.
Benefits / Impacts
What you gain
A clear vision of your AI use cases, a quantified roadmap, and redesigned processes to leverage artificial intelligence by design.
01
A clear vision of AI use cases worth investing in — and those that aren't.
We audit your business processes and evaluate each use case according to three criteria: business impact, technical feasibility, and implementation time. You leave with a clear and well-reasoned ranking, not just a list of possibilities.
02
Redesigned processes to exploit AI natively, not technological fixes on outdated flows.
Grafting AI onto a process designed 10 years ago only produces marginal gains. We rethink your critical workflows by integrating artificial intelligence by design, for structural and sustainable results.
03
A numerical and 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 comes after: the Build, the Scale, the Run start on solid foundations.
Each hour invested in Design is a multiplier for the future. 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, our way of working, and what you can expect from our collaboration.
What does the Design phase at Diametral consist of?
The Design phase is the first step in the Diametral model: identifying and redesigning your critical processes for AI before any line of code. The agency audits your operations, prioritizes use cases based on 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 assigns a score to each use case, ready for arbitration by the management committee.
How to prioritize your AI use cases?
Diametral prioritizes AI use cases according to three criteria: measurable business impact, technical feasibility, and implementation time. Each opportunity is scored and then classified in a quick wins/strategic projects matrix, to objectively arbitrate between initiatives and avoid the budgetary 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, each with a business case, an AI-native target architecture, and a digital execution plan. This document enables the Build phase to commence without delay and helps secure the budget with the sponsor.
How long does a Design mission last?
A Diametral Design mission lasts between 4 and 12 weeks depending on the scope (entity, BU, group). The deliverable includes an executive summary ready to be presented to the Executive Committee, detailed use case sheets, and a quantified roadmap over 12 to 24 months.
contact
A process that needs to be rethought? Let's start with an exchange.
Describe your context. A Diametral expert will contact you within 24 hours with an initial framing.