- PlanAxion’s Rapid AI Solutions Workshop targets small-scale AI solutions that are aligned with immediate business goals and are quickly deployable.
- Every AI idea is put through the same filter: the problem to solve, the expected value, the available data, and the effort required.
- The process consists of 5 steps spread over four weeks: prepare, identify, prioritize, validate data, decide, and deliver.
- The final deliverable is a detailed roadmap: use cases to test first, cases to defer, data prerequisites, and next steps.
In an era where agility and rapid adaptation are keys to success, PlanAxion’s Rapid AI Solutions Workshop is designed to immediately unlock value for your business through targeted, easily deployable artificial intelligence initiatives. Say goodbye to the daunting prospect of large-scale digital transformations, and hello to quick, impactful improvements that deliver results.
“65% of respondents say their organizations are regularly using generative AI in at least one business function, nearly double the percentage from the previous survey 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 will walk away with a clear, actionable roadmap for rapid AI projects that can be deployed in the short term to achieve tangible benefits, from operational efficiency to improved customer engagement. Businesses aren't short on 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, exploration of concrete tools, and the development of a tailored implementation plan. You will leave with four things:
- concrete use cases linked to your actual operational challenges;
- clear priorities: what is worth testing now, later, or not at all;
- clear feasibility: what is actually achievable with your data;
- next steps: simple actions to move forward without launching an overly complex project.
Who should attend the AI workshop?
You need the right people at the table to make decisions, explain the day-to-day realities, and validate what is possible. Three roles are brought together for a group of about 5 people:
- decision-makers: to set priorities and confirm the budget;
- operational experts: to identify pain points and tasks for improvement;
- technical leads: to verify data, tools, and integrations.
What are the benefits of participating?
Participation allows you to discover immediate AI opportunities aligned with your business goals and achieve results and ROI faster. You will also learn how to implement quick-win AI projects that require neither massive investment nor a complete overhaul of your systems.
Why choose PlanAxion for your workshop?
PlanAxion’s expertise in identifying and delivering quick-win AI solutions sets us apart, with a proven track record of helping businesses succeed. Our approach is tailored to your needs: the solutions are scalable, impactful, and easy to integrate. We have helped companies quickly gain an edge through targeted AI implementations.
What filter is used to evaluate each AI idea?
Every idea is put through the same four-question filter: the problem to solve, the expected value, the available data, and the required effort. Does the idea address a concrete pain point? Can the benefit be measured or observed? Is the data ready? Can we test it without launching a major project? This filter eliminates vague ideas early on and focuses energy on those that can create value quickly.
How does the process work?
The Rapid AI Solutions Workshop process consists of 5 steps over four weeks: prepare, identify use cases, prioritize, validate data, and then decide and deliver. The exact pace is adjusted to your context.
Step 1: Preparation
Before the workshop, we gather 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 met. The group is limited to about 5 people representing three key roles (decision-making, operations, and IT/data), and the scope is focused on a single process, department, or issue to be analyzed.
Step 2: Identifying use cases
This step starts with real-world pain points to highlight where AI can provide concrete help. It includes five activities:
- client introduction: every business is unique; we take the time to understand your specific needs, challenges, and strategic goals to tailor our approach;
- AI 101 training: what AI can truly do in a business context, with concrete examples (automating, summarizing, classifying, detecting, or predicting) and what distinguishes an AI project from a standard development project;
- an introduction to the AI roadmap planning methodology—a proven, methodical approach that guides you from identifying opportunities to concrete implementation;
- use case qualification: by working closely with your teams, we explore opportunities related to tasks, errors, delays, and pain points;
- brainstorming session and initial screening: a creative session to generate ideas, then filter out those that are too vague or too far removed from the actual need.
Step 3: Prioritization
Once opportunities are identified, we work together to establish criteria for business value and complexity, then compare the ideas. They are categorized into four groups: quick wins to test first; efficiency drivers to keep if the effort remains low; strategic bets to prepare over a longer period; and those to postpone because they are too vague, too complex, or not useful enough.
Step 4: Data validation
We verify whether the data can support the selected use cases: where the useful data is located (sources), whether we can access and use it (access), whether it is reliable, complete, and up-to-date (quality), and which systems, rules, or integrations might act as blockers (constraints). Our data scientists get a high-level overview of the data and determine its capacity to produce effective algorithms.
Step 5: Decision and delivery
The analysis becomes a clear roadmap: cases to test first, cases to postpone, prerequisites regarding data, systems, and validations, and the sequence of next steps. The deliverable includes a summary of the points discussed, the identified opportunities, proposed architecture, and a service offer to support the implementation of the recommended projects.
What happens after the workshop?
The goal is to maintain momentum: confirm the selected cases with decision-makers, choose the first test, estimate the effort, and then launch the first AI initiative. We define what will be tested, with which data, and within which process, then identify the people, tools, and systems needed to move from the roadmap to execution.
Ready to take the next step?
Don’t let the complexity of AI slow you down: the Rapid AI Solutions Workshop helps you leave with a clear decision on what to test, what to postpone, and what to prepare. This keeps your business ahead in a fast-evolving digital landscape. Let’s unlock the potential of AI for your business 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 rapid AI projects that can be deployed without large-scale transformation.
How long does the AI workshop process take?
The full process spans four weeks and consists of 5 steps: prepare, identify use cases, prioritize, validate data, and then decide and deliver. The pace is adjusted to your context, participant availability, and the depth of the data diagnostic.
How many people participate in the AI workshop?
The number of participants is limited to about 5 people, covering three roles: decision-makers (priorities and budget), subject matter experts (pain points and tasks to improve), and system leads (data, tools, and integrations). Each workshop focuses on a single process, department, or issue to keep discussions targeted.
How much does the Rapid AI Solutions Workshop cost?
The investment varies by mandate, depending on the scope: the process or business unit being analyzed, the number of participants, and the depth of the data diagnostic. Each case is scoped individually and confirmed during a short discovery call. Contact us to discuss your context and receive a tailored proposal.
What deliverable do we receive at the end of the workshop?
The deliverable is a detailed roadmap document. It includes a summary of the points discussed, identified AI opportunities, proposed architecture, and a service offer to support the implementation of the recommended projects. A data diagnostic can also confirm the reliability of the identified projects.
Do I need AI knowledge to participate?
No. An AI 101 session is provided at the start of the workshop to ensure a common understanding of fundamental concepts. It explains the potential of AI to transform your business and shows how an artificial intelligence project differs from a standard development project, with no technical prerequisites required.
- McKinsey, The state of AI in early 2024: 65% of respondents say their organization regularly uses generative AI in at least one business function

