AI discovery workshop: uncover the AI opportunities for your organisation
Where are the biggest AI opportunities within your business processes? In a single day, our AI discovery workshop maps out the most impactful applications, prioritises them by feasibility and business value, and delivers a concrete roadmap you can act on straight away. No abstract advice, but a workable action plan.
What is an AI discovery workshop?
Many organisations recognise that AI offers opportunities but struggle to translate them into their own processes. Where do you start? Which departments stand to benefit most? And how do you ensure AI initiatives don't stall after a proof of concept? An AI discovery workshop is a structured, intensive one-day session in which we work with your team to find answers to these questions.
During the workshop, we analyse your current business processes, identify concrete AI applications and assess each use case for technical feasibility, expected impact and implementation effort. The result is not a lengthy report that gathers dust in a drawer, but a prioritised list of use cases and a practical roadmap your team can pick up straight away. We combine our experience in AI development with domain knowledge to deliver results that suit your specific situation, technical infrastructure and organisational culture.
The difference from a traditional consultancy engagement? Speed and concreteness. Instead of weeks of analysis and abstract recommendations, we work towards usable output within a single day. Your decision-makers and domain experts are actively involved, so the results are embraced by the organisation straight away. That makes the step from insight to action shorter than in any other format.
Who is the AI discovery workshop for?
The AI discovery workshop is designed for organisations that are serious about investing in AI but need a clear starting point. Whether you're at the very beginning of your AI journey or have already run some initial experiments, the workshop helps you structure and prioritise your next steps.
Growing organisations (50-200 FTE)
Scale-ups that are growing fast want to automate processes or become smarter with AI. Think of automating repetitive tasks in operations, improving customer service with AI assistants, or using predictive analytics for better decision-making. The workshop helps identify which processes stand to benefit most from AI and which quick wins can be tackled straight away.
Enterprise organisations
Larger organisations with complex IT landscapes and multiple departments that want to explore AI opportunities. The workshop brings stakeholders from different departments together, creates a shared vision for AI adoption and prevents initiatives from becoming fragmented or duplicated. Particularly valuable for organisations already running several separate AI experiments but struggling to structure and scale successful pilots. See also our enterprise AI implementation service.
Tech-forward companies
Organisations that already have a modern tech stack and want to explore the next generation of AI applications. For example, integrating LLM technology into existing products, building AI-driven features for end users, or deploying computer vision in production processes. For these organisations, the workshop acts as a strategic sounding board to determine the most impactful next step.
The workshop is industry-agnostic. We have experience with AI applications in sectors such as healthcare, fintech, logistics, e-commerce, manufacturing and the public sector. The challenges and opportunities differ by sector, but the methodology for uncovering and prioritising them is universally applicable.
Programme: from exploration to roadmap
The AI discovery workshop follows a proven structure that takes you from broad exploration to concrete, prioritised action points in a single day. Each part builds on the previous one, so the final result is firmly grounded in your business reality.
Process analysis and context
We start with a thorough analysis of your current business processes, data flows and IT landscape. Which systems do you use? Where are the manual tasks, the bottlenecks and the data points that currently go unused? This part ensures that all participants share a common picture of the current situation and that we, as facilitators, understand the specific context of your organisation.
Use case brainstorm
In a structured brainstorming session, we map out all possible AI applications. We draw on our experience with comparable organisations as input, but the use cases come primarily from your team. Think of process automation, intelligent document processing, predictive analytics, AI-driven customer service, and more. All ideas are noted down without immediate judgement. We steer the discussion across all relevant departments and processes so that no opportunities are overlooked.
Prioritisation and feasibility analysis
After lunch, we assess each use case along three axes: expected business impact, technical feasibility and implementation effort. Use cases that score high on impact and low on effort rise to the top as quick wins. More complex use cases with significant strategic value are scheduled for later phases. During prioritisation, we take technical reality into account: which data is available, which API integrations are required, and where are the dependencies on existing systems?
Technology mapping and roadmap
In the final block, we match the prioritised use cases to specific technologies and implementation approaches. For each use case, we determine which AI technology fits best (LLM, machine learning, computer vision, NLP), what architecture is needed, and how the integration with your existing systems will look. We conclude by setting up a realistic 12-month roadmap, including milestones, required resources and dependencies.
Wrap-up and next steps
We close the day with a summary of the key findings, the top five prioritised use cases and the agreed next steps. Every team member leaves the workshop with a clear picture of what will happen, when and by whom.
What does the workshop deliver?
Within five working days of the workshop day, you will receive a complete deliverables package. Everything you need to build internal support, secure budget and start the first AI implementation.
Prioritised use case list
A detailed list of all identified AI applications, each assessed on business impact, technical feasibility and implementation effort. The top use cases come with a short description, expected outcomes and an indication of the data and systems required. This document forms the basis of your AI strategy and makes it easy to communicate internally which opportunities exist.
12-month AI roadmap
A visual roadmap with a realistic phasing of AI initiatives over the next twelve months. Including quick wins for the first few weeks, medium-sized projects for the first quarter and strategic initiatives for the longer term. Milestones, required resources and dependencies are specified for each phase.
Quick win implementation plans
For the top two to three quick wins, we provide a concise implementation plan: which technology, which data, which integrations, estimated lead time and a proposal for the first steps. This lets you get started straight away without further research. These plans are concrete enough to serve as a briefing for an internal team or a development partner.
Business case templates
Completed business case templates for the most important use cases, including expected benefits, required investment and an indication of payback period. No exact figures we cannot substantiate, but an honest estimate based on our experience and the specific context of your organisation. Useful for presentations to the board or management to secure budget and mandate.
Our approach
The AI discovery workshop does not stand alone. It is the starting point of a structured process that ensures maximum value and minimal waste of time and resources. From first introduction to possible implementation: each step builds on the previous one.
Technology and expertise
Appfront has extensive experience developing and integrating AI solutions. We bring that experience into the workshop: we know which technology fits which use case, what is technically feasible and where the pitfalls lie. That is what makes the difference between a theoretical brainstorm and a session with directly applicable results.
LLM integration and GPT applications
Implementation of large language models for document processing, knowledge management, AI chatbots, content generation and internal search systems. We work with both commercial models (OpenAI, Anthropic Claude) and open-source alternatives, depending on your requirements around privacy, cost and performance.
- RAG architectures with business data
- Prompt engineering and fine-tuning
- Document processing and extraction
Predictive analytics and machine learning
Predictive models for demand forecasting, churn prevention, anomaly detection, quality control and process optimisation. We build models that integrate with your existing data systems and that your team can manage and monitor through dashboards and alerting.
- Forecasting and demand planning
- Classification and scoring models
- Real-time anomaly detection
Computer vision and custom models
Image recognition and computer vision for product inspection, document scanning, object detection and visual analysis. We also build custom AI models for specific domain applications that cannot be solved with off-the-shelf tools, from data preparation through to model training and deployment.
- Object and pattern recognition
- Custom model training on your data
- Edge deployment for real-time analysis
Our breadth of technical expertise allows us to advise objectively during the workshop on which technology best suits a specific use case. We are not tied to a single vendor or technology stack, so our recommendations are always in the interest of your organisation. See our full AI development services for more information about our technical capabilities.
AI discovery workshop vs. standard advisory engagement
Many organisations consider a traditional advisory engagement with a consultancy firm. This can be valuable, but it is far from always the best route. Below we compare the two approaches candidly, so you can make an informed choice.
| Aspect | AI discovery workshop | Standard advisory engagement |
|---|---|---|
| Lead time | 1 day workshop + 5 days of deliverables | 4 to 12 weeks |
| Output | Prioritised use cases, roadmap, implementation plans | Strategic report with recommendations |
| Team involvement | Your team is an active participant and co-owner of the outcome | Team provides input, consultant carries out the analysis |
| Technical depth | Direct technology mapping per use case by AI engineers | Often at strategic level, technical elaboration separate |
| Implementation readiness | Quick wins immediately implementable, roadmap with concrete steps | Report often still requires a translation into action |
| Ongoing collaboration | Optional: the same partner can also build the solution | Implementation by a third party, knowledge transfer required |
When does each approach suit?
The AI discovery workshop is most valuable for organisations that want to act quickly and already have a foundation in data and digital maturity. If your organisation does not yet have structured data, or if a fundamental digital transformation is needed first, a broader advisory engagement may be more suitable. We are candid about this: if we feel the workshop is not the right format for your situation, we will tell you during the intake conversation.
Not sure? Get in touch for a no-obligation conversation. We are happy to help you determine the right approach for your specific situation.
Frequently asked questions about the AI discovery workshop
Below we answer the most common questions about the AI discovery workshop. Don't see your question here? Feel free to get in touch with us.
Start with your AI discovery workshop
Curious about what AI could mean for your organisation? Schedule a no-obligation introductory call and we'll discuss whether the AI discovery workshop is the right starting point. No sales pitch, just an honest conversation about your situation, ambitions and the opportunities we see.
Within a week of your enquiry, we will schedule an intake conversation. After that, we'll agree together on the best date for the workshop day. On average, there are two to four weeks between first contact and the workshop itself.