AI TRAINING
AI Pilots Under €10K for SME Leaders
Leave with a shortlist of ready-to-run AI pilots sized for your budget and team.
What it covers
A practical one-day workshop guiding founders and general managers through a catalogue of proven AI pilots achievable in 4–8 weeks for under €10K total cost. Participants evaluate pilots by business impact, data readiness, and integration effort, then define clear success criteria before committing resources. The session covers tooling options, light integration patterns, and a go/no-go decision framework for scaling. Roughly 60% of the day is hands-on assessment using real scenarios from participants' own businesses.
What you'll be able to do
- Select 2–3 AI pilot candidates from a structured catalogue and justify the choice against your own business constraints
- Define a success scorecard with at least 3 measurable KPIs before a pilot starts
- Estimate total cost of a pilot (tools, integration, staff time) and keep it under €10K
- Apply a go/no-go scaling framework to a completed pilot using real outcome data
- Identify the top 3 integration risks for your chosen pilot and name a mitigation for each
Topics covered
- Catalogue of 10–15 SME-ready AI pilots with cost and effort estimates
- Scoring pilots by ROI potential, data availability, and integration complexity
- Setting measurable success criteria before launch
- Low-code and no-code tooling options under €500/month
- Light integration patterns: webhooks, APIs, Zapier-class automation
- Go/no-go decision framework for scaling a pilot
- Common failure modes and how to avoid them
- Building a 4-week pilot roadmap with your own use case
Delivery
Delivered in-person or via video conference (half-day variants available for remote). Participants receive a printed or digital Pilot Catalogue workbook, a scoring matrix template, and a 4-week roadmap canvas. Facilitator-led instruction accounts for roughly 40% of the session; the remainder is structured peer work and individual use-case assessment. No laptops with dev environments required — standard browser access is sufficient.
What makes it work
- Commit a named internal owner to the pilot for its full 4–8 week duration
- Define a binary go/no-go decision gate before the pilot starts, not after
- Start with a use case where current manual cost or error rate is already documented
- Limit scope ruthlessly — one workflow, one tool, one success metric
Common mistakes
- Choosing a pilot that requires clean, centralised data the business does not yet have
- Skipping success criteria definition and having no basis to decide whether to scale
- Underestimating staff time needed to supervise and validate AI outputs during the pilot
- Picking the most exciting use case rather than the one with the fastest path to measurable value
When NOT to take this
This workshop is not the right fit for a team that has already run two or more AI pilots and is actively managing models in production — they need a practitioner-level programme on MLOps or AI governance, not a catalogue-selection exercise.
Providers to consider
Sources
This training is part of a Data & AI catalog built for leaders serious about execution. Take the free diagnostic to see which trainings your team needs.