Workshop AI Value Realisation

Starting point

Every Swiss SME leader is hearing about AI from vendors, consultants, and competitors. Most are reacting to the loudest voice in the room rather than a clear business case. AI Value Realisation changes that. In one day, your leadership team applies a structured method to evaluate AI opportunities based on value and feasibility - specific to your business model, not generic best practices. You leave with a prioritised AI roadmap, named owners, and a clear sequence of what to fund, what to test, and what to stop.

What you get

• Stop making AI investment decisions based on vendor hype or competitor announcements
• Evaluate every AI opportunity against the same objective criteria - cost reduction, revenue growth, risk reduction, and feasibility
• Surface opportunities your team had not considered - using AI itself as the analysis engine
• Leave with a single agreed set of AI priorities across your full leadership team
• Get a clear path from priorities to execution - including which follow-on workshop addresses which opportunity

How we work

One day. One business model. One prioritised AI roadmap your leadership team commits to.

Map and generate
Your team defines your business model - from value proposition to cost structure and customer relationships. AI generates a targeted longlist of AI opportunities mapped directly to your business model. Not trends. Not generic use cases. Opportunities grounded in your actual business.

Score and prioritise
Every opportunity is scored on value and feasibility. AI provides relevant benchmarks and comparison points. Your team populates a physical value/feasibility matrix - Quick Wins, Strategic Bets, Low Priority, Deprioritise. The debate happens in real time, driven by evidence rather than internal politics.

Decide and commit
Your team agrees a clear sequence: First, Next, Not Yet. Each priority is assigned an owner. Each participant commits to one action before leaving the room. The roadmap identifies which AIghty20 workshop addresses each priority - so the next step is never ambiguous.

Who it is for

Manufacturing, watchmaking and medtech (MEM sector)
The Reality: high investment levels and world-class engineering standards. Many operate highly customised, high-mix, low-volume production environments, making generic AI solutions difficult to apply effectively.
The AI Opportunity: optimising high-mix production schedules. AI analyses machine downtime, order pipelines, and supply chain constraints to support dynamic production planning, helping maximise throughput while maintaining quality standards.

Specialised B2B trade and customer services
The Reality: many Swiss SMEs face persistent skilled labour shortages while supporting multilingual customers across German, French, Italian, and English markets. Small teams are expected to handle increasing volumes of complex customer enquiries.
The AI Opportunity: deploying intelligent triage for international client enquiries. AI processes inbound multilingual requests, classifies urgency, identifies relevant internal knowledge, and drafts responses for account managers to review and approve.