Key highlights
- AI democratization makes the technology more accessible, but AI adoption itself can still be tricky.
- An AI adoption workshop is a way to decide how to address your AI pain points right here, right now.
- The workshop goes beyond brainstorming with AI experts — you get a realistic, documented plan for technology implementation.
Let’s be honest, AI today can feel like a solution in search of a problem. Endless tools, sudden hype, and scattered experimentation make it hard to know where to begin or how to push beyond a prototype, what’s worth building, and how to make it all work.
That’s why we’ve designed an AI Adoption Workshop that starts from the only place that matters: your business goals. In just two days, *instinctools’ experts transform siloed ideas into structured, ROI-driven plans tailored to your business goals and tech environment. It’s a working session designed to move you from interest to action to value, with realistic planning, cross-functional expertise, and clear deliverables that are ready to implement.
A shortcut to sustainable AI adoption
When you hear “workshop,” you probably think of ready-made templates, generic frameworks, and pointless toy projects. We do it differently: you get direct, high-touch collaboration from a multidisciplinary team centered around your goals, your data, and your constraints.
An AI adoption workshop is a two-day exploratory and planning activity during which your tech partner cooperates with your company’s stakeholders. The aim is to identify how artificial intelligence can serve your current needs, catalog and calibrate relevant use cases.
Led by senior AI practitioners, including the head of our AI Center of Excellence, and digital transformation experts, the workshop brings up high-value, low-risk opportunities for responsible AI adoption. With a detailed action plan, you can either go further with us or choose any other AI service provider.
Our clients want practical advice and concrete steps to confidently release internal and market-facing AI products to their employees and customers sooner, with less risk and waste.
— Ivan Dubouski, Head of AI CoE
Common AI adoption challenges we help you solve
Here’s what we hear from clients before the workshop and how we help them move forward:
1. “We build prototypes, but they never make it to MVP”
94% of companies are good at developing AI prototypes, but only 21% can distill high-potential ones and carry them forward to MVPs.
An AI adoption workshop is a way to break you free from AI limbo and quicken AI development lifecycle, as your tech partner:
- Catalogs your current AI prototypes
- Evaluates and prioritizes them based on ROI, feasibility, and corporate strategy
- Identifies the most promising ones to invest in
- Prepares a high-level backlog for the chosen AI prototypes
2. “We don’t know where to start”
You’ve got AI FOMO, but are overwhelmed by all the available AI capabilities and tools. Or maybe you’ve launched some experiments, but nothing has really worked. We help you pinpoint the right starting point based on your business context, available data, and ROI goals.
One of our clients, a Canadian clothing retailer, wanted to replace their Excel-based analytics with an ML-powered system, but a vast selection of suitable ML tools paralyzed their decision-making. We analyzed their current tech stack and opted for Azure ML to keep it consistent and easy to maintain.
3. “We’re working with a tight budget”
You want to explore AI, but need to make every dollar count. We help you validate what’s feasible within your budget by calculating ROI across CapEx and OpEx for each viable use case so you can invest where it pays off most.
For a French eyewear manufacturer and retailer, we pinpointed a high-value, low-cost use case — a virtual frame fitting feature for their app. It enabled them to run a lean AI experiment that immediately set them apart from competitors.
4. “We want to play it safe”
It’s natural to be cautious about AI — 54% of companies are still wary about trusting AI systems for multiple reasons, such as data privacy issues, misinformation, model bias, and cybersecurity threats.
Moreover, these concerns can be topped with the company’s own unique challenges, such as innovation maturity, legacy infrastructure, or operating in heavily regulating industries like healthcare and finance.
The AI adoption workshop is also a quick intro to solid AI governance and risk mitigation frameworks. Though responsible AI isn’t built overnight, you can make meaningful progress in this direction during a two-day workshop.
For example, our client, a Czech bank, wanted to move beyond AI-driven customer support and offer their clients hyper-personalized financial advisors. To do this safely, our team proposed deploying a private instance of GPT-4 within their Azure tenant, ensuring data control and compliance.
5. “We lack AI expertise”
You may have a budget for AI adoption, but without hands-on expertise, your initiatives either wouldn’t move an inch or go south before you realize it. At the workshop, you get access to senior and lead-level experts with practical knowledge of AI development, who not only guide you during the workshop but can support implementation too.
Ready to make your next AI move?
What happens in the AI adoption workshop? | *instinctools’ experience
At *instinctools, we provide virtual and in-person workshops. Whichever the format and wherever you are on your AI journey (just starting with a single use case, scaling across departments, or introducing AI capabilities to the market), our flexible, modular approach adapts to your timeline, goals, and level of readiness.
Pre-workshop: strategic preparation
We don’t walk in blind. After signing an NDA, we do the homework by:
- Diving into your business context by interviewing key stakeholders to see your challenges and opportunities.
- Assessing your as-is state, including overall AI readiness and current AI prototypes, if there are any.
- Exploring meaningful processes and areas of potential impact where AI can add value
- Drafting an initial vision of your future AI-enabled to-be state.
Day 1: finding the right fit for AI
With your business context in hand, we spend the first day:
- Translating your business objectives and pain points into visual mind maps to reveal AI opportunities
- Presenting our ideas of the to-be state with a chart of relevant high-value, low-barrier AI use cases
- Defining clear success criteria for your AI initiative to measure results
- Running a validation session to see if everyone is on the same page after a day of discussions
Day 2: making it real
On the second day, we focus on turning ideas into tangible artifacts:
- Outlining the required tech environment
- Preparing a prioritized project backlog
- Drafting an initial architecture vision
- Sharing UX/UI concepts
- Creating a strategic roadmap
- Outlining project timelines and budget
- Planning for market or employee validation through a pilot program
And because every organization is different, our workshops are truly agile. We can recalibrate the program on the go to cover what brings value to your unique business, such as staff AI upskilling programs, or the basics of establishing an AI center of excellence if a client has an in-house software development team and wants to raise internal AI expertise. What matters most to you always makes it into the room.
What you’ll walk away with: AI workshop’s deliverables to act on
Even a structured, facilitated AI discussion is of little value if the insights go undocumented. Practical, no-fluff takeaways are what drive companies to turn their AI ambitions into actions.
The list of deliverables may vary from provider to provider. Here’s what *instinctools’ clients get:
- Vision&Scope provides an all-encompassing breakdown of your AI-related business problems, objectives and risks, opportunities for AI implementation, success metrics, and the scope and roadmap of your AI initiative.
- An architecture overview includes a review of your current tech infrastructure and an outline of an AI system’s architecture. It covers data lifecycle management, ML model training, and integration into your existing software ecosystem.
- UX/UI concepts are initial wireframes that can be later used for AI development.
- Budget and time estimates comprise a high-level cost of AI adoption (data cleansing, model fine-tuning, etc.) and delivery timeline.
Get your AI wheels turning in just two days
You don’t need another presentation. You need a clear path from where you are to where AI can take you. We’ll help you find it…and build it.
You leave the AI adoption workshop with a clarified vision, evaluated business opportunities, and a realistic, documented plan for technology implementation.
Get a head start or revive your current AI initiative