AI Opportunity

Discovery Workshop

Wondering how you and your business can leverage AI?

You're here:

Discover → Design → Implement & Validate → Scale

Want to take advantage of new possibilities with AI, but don't know how to start?

Our AI Opportunity Discovery Workshop offers a thorough analysis of expectations and pain points of your users, organization, or business units, to map them into potential ML Proof of Concept (POC) candidates.

Whether to identify new features for your product or enhance your internal processes, we get insights around your data sources, potential machine learning use cases scenarios, and their main associated challenges.

What is it?

By going jointly through a series of ideation exercises and discussions, we work together to translate your original ideas, goals and pain points into AI opportunities.

We’re constantly solving new challenges with machine learning. From our interactions with our academic partners and our clients from industry we have identified common application scenarios and needs.

We’re here to map your necessities into actionable machine learning implementation plans. Let’s get into it!

Our process

How does it go?

Goals and pains exploration

Together, we explore the main goals and challenges you aim to address with AI. Whether it involves improving processes within your company or introducing innovative features to your digital product, we collaboratively understand your genuine needs and objectives.

Goals and pains exploration

Journey and opportunity mapping

Understanding the processes in which you plan to integrate AI components is fundamental to accurately define machine learning use cases. Furthermore, data sources are key elements for constructing the models that will power these features, so identifying them is a must in any early ideation stage. By thoroughly reviewing both points, we can identify real opportunities for AI together.

Journey and opportunity mapping

AI brainstorming

At this stage, we return with a clear roadmap for each AI opportunity: identifying relevant data sources, addressing challenges, and outlining steps to confirm feasibility. Armed with this information, we can collaboratively associate which of the goals and pains we reviewed in stage 1 will be addressed by these brand new AI components.

AI brainstorming

Prioritization and POC candidates confirmation

By carefully reviewing the impact and efforts associated with each AI opportunity, we prioritize them based on your actual needs and identify confirmed POC (Proof of Concept) candidates!

Prioritization and POC candidates confirmation

By carefully reviewing the impact and efforts associated with each AI opportunity, we prioritize them based on your actual needs and identify confirmed POC (Proof of Concept) candidates!

What will you get?

📝

A prioritized list of AI opportunities, based on their impact and associated effort.

📊

An exploratory data analysis (EDA) to estimate the feasibility of the POC candidate.

💪

A series of challenges that have to be addressed to get things done.

🤖

A roadmap with key steps to bring your AI idea to life!

What’s next? A POC Design workshop!

Discover → Design → Implement & Validate → Scale

Roles

Who will help you along the way

Our team combines experts in design and machine learning that will help you nail the right use case and the minimum viable models you will need.

Our design experts bring a creative and user-centric approach to the process, ensuring envisioning AI opportunities aligned with the actual user needs.

Our machine learning experts possess the technical expertise to analyze use cases from a realization point of view.

Together, they collaborate to explore innovative ideas and prioritize AI opportunities that will deliver meaningful and impactful solutions for our organization.