At a time when agility and rapid adaptation are keys to business success, PlanAxion’s Rapid AI Solutions Workshop is designed to unlock immediate value for your company through targeted, easily deployable AI initiatives. Say goodbye to the daunting prospect of large-scale digital transformations and hello to quick, impactful improvements that drive results.
“65 percent of respondents report that their organizations are regularly using gen AI in at least one business function, nearly double the percentage from the previous survey just ten months earlier.” Source: McKinsey, The state of AI in early 2024
What is the Rapid AI Solutions Workshop?
The Rapid AI Solutions Workshop is an expert-led session focused on identifying and implementing small-scale AI solutions aligned with your immediate business goals. You leave with a clear, actionable roadmap for quick-win AI projects that can be deployed rapidly to achieve tangible benefits, from operational efficiency to improved customer engagement. Companies do not lack AI ideas; the real challenge is knowing where to start, what to prioritize and how to avoid launching a heavy project that creates little value.
What does the workshop include?
The workshop combines interactive sessions that demystify AI, hands-on exploration of practical tools, and the development of a tailored implementation plan. You leave with four things:
- concrete use cases, tied to your real operational challenges;
- clear priorities: what deserves to be tested now, later or not at all;
- clear feasibility: what is actually achievable with your data;
- next actions: the simple steps to move forward without launching an oversized program.
Who should attend the AI workshop?
Around the table, you need the right people to decide, explain the field reality and validate what is possible. Three roles are brought together, in a group of about 5 people:
- decide: choose the priorities and confirm the budget;
- explain the field: name the irritants and the tasks to improve;
- validate the systems: check the data, tools and integrations.
What benefits can you expect from attending?
Attending helps you uncover immediate AI opportunities aligned with your business objectives and achieve results and return on investment faster. You also learn how to implement quick-win AI projects that require neither massive investment nor a system overhaul.
Why choose PlanAxion for your workshop?
PlanAxion’s expertise in identifying and delivering quick-win AI solutions sets the firm apart, backed by a proven track record of helping businesses. Our approach is tailored to your needs: the solutions are scalable, impactful and easy to integrate. We have helped companies gain benefits quickly through targeted AI implementations.
What filter is every AI idea evaluated against?
Every idea goes through the same four-question filter: the problem to solve, the expected value, the available data and the effort required. Does the idea address a concrete irritant? Can the benefit be measured or observed? Is the data ready? Can it be tested without launching a major program? This filter removes fuzzy ideas early and focuses the energy on those that can create value quickly.
How does the process unfold?
The Rapid AI Solutions Workshop process has 5 steps spread over four weeks: prepare, identify the use cases, prioritize, validate the data, then decide and deliver. The exact pace adjusts to your context.
Step 1: prepare
Before the workshop, we collect the right context to avoid overly broad discussions. A preparatory questionnaire is sent to the client to understand the technologies in place, the challenges encountered and the objectives to be achieved. The group is limited to about 5 people covering the three key roles (decision, field, IT and data), and the scope targets a single process, department or issue.
Step 2: identify the use cases
This step starts from real irritants to surface where AI can genuinely help. It includes five activities:
- client introduction: every company is unique; we take the time to understand your specific needs, challenges and strategic objectives to personalize our approach;
- AI 101 training: what AI can really do in a business context, with concrete examples (automate, summarize, classify, detect or predict) and how an AI project differs from a standard development project;
- introduction to the AI roadmapping methodology: a proven methodological approach that guides you from opportunity identification to concrete implementation;
- use case qualification: working together with your teams, we explore the opportunities tied to tasks, errors, delays and irritants;
- brainstorming and first triage: a creative session to generate ideas, then remove those that are too vague or too far from the need.
Step 3: prioritize
Once the opportunities are identified, we define the business value and complexity criteria together, then compare the ideas. They fall into four families: quick wins, to test first; efficiency levers, to keep if the effort stays simple; strategic bets, to prepare with more time; and those to postpone, too vague, too heavy or not useful enough.
Step 4: validate the data
We check whether the data can support the selected use cases: where the useful data lives (sources), whether it can be accessed and used (access), whether it is reliable, complete and up to date (quality), and which systems, rules or integrations could block (constraints). Our data scientists gain a global view of the data and determine its capacity to produce effective algorithms.
Step 5: decide and deliver
The analysis becomes a clear roadmap: the cases to test first, the cases to postpone, the prerequisites in data, systems and validations, then the sequence of next actions. The deliverable includes a summary of the points covered, the identified opportunities, architecture proposals and a service offer to support the implementation of the recommended projects.
What happens after the workshop?
The goal is to keep the momentum: confirm the selected cases with the decision makers, choose the first test, estimate the effort, then launch the first AI initiative. We specify what will be tested, with which data and in which process, then identify the people, tools and systems needed to move from roadmap to execution.
Ready to take the next step?
Do not let the complexity of AI slow you down: the Rapid AI Solutions Workshop helps you leave with a clear decision, what to test, what to postpone and what to prepare. Your business stays ahead in a fast-moving digital landscape. Let’s unlock the potential of AI for your company together.
Frequently asked questions
What is PlanAxion’s Rapid AI Solutions Workshop?
The Rapid AI Solutions Workshop is an expert-led session that identifies small-scale artificial intelligence solutions aligned with your immediate business goals. It results in a clear, actionable roadmap for quick-win AI projects that can be deployed rapidly, without requiring a large-scale digital transformation.
How long does the AI workshop process take?
The full process spans four weeks and has 5 steps: prepare, identify the use cases, prioritize, validate the data, then decide and deliver. The pace adjusts to your context, participant availability and the depth of the data diagnostic.
How many people take part in the AI workshop?
Participation is limited to about 5 people covering three roles: decide (priorities and budget), explain the field (irritants and tasks to improve) and validate the systems (data, tools, integrations). Each workshop focuses on a single process, department or issue, which keeps the conversations targeted.
How much does the Rapid AI Solutions Workshop cost?
The investment varies from one engagement to the next, depending on the scope: the process or business unit analyzed, the number of participants and the depth of the data diagnostic. Each case is scoped individually and confirmed during a short exploratory call. Contact us to discuss your context and get a tailored proposal.
What deliverable do you receive at the end of the workshop?
The deliverable is a detailed roadmap document. It includes a summary of the points covered, the identified AI opportunities, architecture proposals and a service offer to support the implementation of the recommended projects. A data diagnostic can also confirm the feasibility of the identified projects.
Do participants need prior AI knowledge?
No. An AI 101 training session is delivered at the start of the workshop to ensure a shared understanding of the fundamental concepts. It explains AI’s potential to transform your business and shows how an artificial intelligence project differs from a standard development project, with no technical prerequisites.
- PlanAxion’s Rapid AI Solutions Workshop targets small-scale AI solutions aligned with immediate business goals and quickly deployable.
- Every AI idea goes through the same filter: the problem to solve, the expected value, the available data and the effort required.
- The process has 5 steps spread over four weeks: prepare, identify, prioritize, validate the data, decide and deliver.
- The final deliverable is a detailed roadmap: cases to test first, cases to postpone, data prerequisites and next actions.
- McKinsey, The state of AI in early 2024: 65 percent of respondents report that their organizations regularly use generative AI in at least one business function

