Workshops

Initial Alignment Call

A short introduction call to understand your goals, current state, and constraints - and to confirm whether a workshop is the right next step.

This is a focused conversation to make sure we use your time well and pick the format that creates the most value.

What We Do

  • Clarify goals, scope, and success criteria
  • Review team, data, and systems context
  • Decide which workshop is the best fit (and in what order)
  • Align on logistics, roles, and expected outcomes

Discovery Workshop - Identify Opportunities & Use Cases

Explore where AI or Cloud can create real value in your organization - without long strategy phases, buzzwords, or big-bang projects.

This is a collaborative working session that brings the right people together to map challenges, spot opportunities, and choose a clear starting point.

What We Do

  • Map current processes, pain points, and goals
  • Explore practical AI/automation examples relevant to your context
  • Evaluate ideas by value, feasibility, and impact
  • Select a high-impact use case to move forward

Prototype Workshop - Design & Prioritize

Turn a selected use case into a simple, testable concept. We design the first version together - clear, lightweight, and grounded in reality.

This is a hands-on session where we sketch workflows, outline data flows and integrations, and define what the first version (MVP) should include - and what it shouldn’t.

What We Do

  • Frame the problem and expected outcome
  • Sketch the end-to-end workflow and user interaction
  • Outline data sources, connectors, and constraints
  • Define MVP scope and prioritize features by value vs. effort

Validation Workshop - Build & Validate

Create a lightweight, working prototype to test assumptions and gather feedback - fast.

We build a simple version using no-code/low-code or sandbox components, run it with realistic inputs, and refine based on what we learn.

What We Do

  • Set up a minimal working prototype (UI/workflow or API flow)
  • Use sample or real data to simulate key scenarios
  • Collect feedback from the people who will use or run it
  • Refine scope and define what an MVP or pilot should include