AI-Workshops for SMEs
Your AI Strategy with Aproda - From Concept to Actionable Roadmap
AI Workshop for SMEs - From Idea to Actionable Roadmap
Many companies have ideas for AI but no clear answers to key questions: Where should we start? Which use cases will create the greatest value? What is realistically feasible given our data, processes and systems?
That’s exactly what the Aproda AI Laboratory is designed for. We bring structure to your AI initiatives and deliver tangible outcomes that can be directly translated into pilot projects and implementation roadmaps.
Typical systems: Microsoft Dynamics 365 (Sales & Customer Service), Business Central, Microsoft 365, SharePoint, Microsoft Teams, Power Platform, and E-Commerce platforms such as Shopify.
AI Checklist: „Are We Ready for AI?“
Before investing in AI solutions, it’s worth taking a step back and doing a reality check. The answers to these questions often determine whether AI initiatives deliver quick results - or get stuck in lengthy discussions.
- Which three processes currently consume the most time or cause the most errors?
- Which data sources are reliable and accessible (e.g., master data, documents, tickets, emails)?
- Who owns the process and has decision-making authority?
- How will success be measured (time savings, costs, quality, revenue, CSAT)?
- What security, compliance and governance requirements must be considered?
- Which systems are relevant for implementation (Business Central, Dynamics 365 Sales/Customer Service, Shopify, SharePoint, Teams)?
- Which employees will be affected (adoption, training, change management)?
- Which use cases represent quick wins - and which are strategic initiatives?
On request, we can use this information to prepare a concise AI Readiness Assessment as input for the workshop - providing a structured starting point with a clear focus on measurable business outcomes.
Our AI Workshop: Here's How We Work
Workshop Objective
By the end of the workshop, you'll have more than just ideas - you'll leave with a prioritized AI backlog and a practical roadmap that your team can start implementing immediately.
Typical Participants
- Executive Management / Business Leaders (vision, strategy, and priorities)
- IT & Security (feasibility, architecture, and governance)
- Process Owners (Sales, Service, Finance, Purchasing, Operations)
- Key Users (practical insights, exceptions, and day-to-day challenges)
Format
Remote or on-site (St. Gallen or anywhere in Switzerland), professionally facilitated and highly interactive, with clearly defined deliverables and a strong focus on practical outcomes.
Our 3 Workshop Packages

1) OptIn AI & Change Management – Getting Started & Roadmap
Objective: Provide clarity by identifying pain points, prioritizing AI opportunities and defining a practical roadmap and adoption plan.
Suitable for: Companies looking to launch AI initiatives - or bring structure to existing ones - and establish a solid decision-making foundation for management and IT.
Contents:
- Current State Assessment: Processes, systems and operational bottlenecks
- Opportunity Assessment: Quick wins and strategic AI opportunities
- Use Case Prioritization: Business value, effort, data availability, risks and compliance requirements
- AI Roadmap (1–3 Years): Phases, dependencies, priorities and responsibilities
- Change & Adoption: Roles, communication, training and governance fundamentals
Results / Deliverables:
- Management Summary: Key pain points, top AI opportunities, and strategic recommendations
- Prioritized AI Use Case Portfolio Quick wins and strategic initiatives, including business value and feasibility assessment
- AI Roadmap (1–3 Years): Clear priorities and next steps
- AI Adoption Plan (Light) Including governance recommendations and initial guidelines
- Pilot Recommendation: The most suitable use case for a first pilot project
Ideal as a starting point before developing an AI agent or launching a pilot project.
Consulting Package 1: CHF 1,900
2) Customized Agent Specification – Technical Blueprint
Objective: Define a specific AI agent and create a detailed implementation blueprint to ensure fast, manageable and scalable deployment.
Suitable for: Companies that have already identified and prioritized an AI use case (e.g., Order Agent, Visit Report Agent, Service Agent, Product Data Agent) and now require a detailed specification for implementation.
Contents:
- Agent Target Profile: Responsibilities, scope, limitations and human-in-the-loop requirements
- Process & Dialogue Logic: Inputs → validations → actions → exception handling
- Data Sources & Integrations (e.g. BC/D365/SharePoint/Shop)
- Validation Rules & Business Logic (Plausibility checks, master data validation, approval workflows)
- Security & Governance (Access rights, logging, auditability, and responsibilities)
- KPI Definition: Measurement criteria and expected business impact
Results / Deliverables:
Agent Blueprint Document (Blueprint) including:
- Scope of functionality and clearly defined boundaries
- Data fields, mappings and validation logic
- Integration points (APIs and connectors at a conceptual level)
- Exception handling and approval workflows
- Acceptance criteria and KPI framework
The result is a comprehensive implementation package that developers, solution architects and project teams can use immediately.
Consulting Package 2: CHF 3,900
3) Scoping Workshop – Define Scope, Effort & Pilot Readiness
Objective: Translate a use case into a clearly defined and feasible pilot scope by identifying requirements, responsibilities, data sources, risks, and dependencies—and creating a clear go/no-go decision framework.
Suitable for: Companies that want to move quickly into a proof of concept (PoC) or pilot project and need a transparent understanding of effort, risks, dependencies, and integration requirements before implementation begins.
Contents:
- Scope Definition: Must-have features, optional capabilities, process boundaries, and out-of-scope elements
- Roles & Responsibilities: Stakeholders, ownership, and RACI framework
- Data Assessment: Data availability, quality, access rights, and data protection requirements
- Risk & Dependency Analysis: Systems, business units, integrations, security, and governance aspects
- Pilot Planning: Test scenarios, success criteria, KPI definition, and rollout approach
Results / Deliverables
Pilot Scope Document including:
- Clearly defined scope and boundaries
- Identified risks and dependencies
- Roles and responsibilities
- KPI tracking and measurement framework
- Recommended next steps and go/no-go decision criteria
Ideal for organizations that require alignment between business, IT, and management before approving budgets and moving into implementation.
Consulting Package 3: CHF 3,900
How the Packages Work Together
Many customers begin with the OptIn workshop and then proceed to either the Specification or Scoping workshop - depending on whether the priority is to define the solution in detail or to prepare for implementation.
The AI Workshop Explained Through an Example
A company has many AI ideas - chatbots, copilots, automation - but no clear understanding of where to start. During the workshop, it quickly becomes clear that:
- The greatest potential lies in the order-to-cash process (order entry, follow-up inquiries, and delivery date management).
- The required data is already available in Business Central, while supporting documents are received via email and PDF.
- An Order Agent pilot is realistic within a few weeks because the processes are well-defined and standardized.
- As a second step, an AI-powered shopping assistant could help reduce the workload of the support team while increasing online conversion rates.
Outcome: A clear starting point, measurable KPIs and a practical roadmap for turning AI from a standalone tool into a driver of business processes and operational efficiency.
Why Aproda?
Frequently Asked Questions
How quickly will we see results?
Initial quick wins are often achievable within a few weeks, provided that data access, process clarity and ownership are already in place. The workshop provides the decision-making foundation needed to identify the right use cases and move forward with confidence.
Do we need perfectly clean data to get started?
No - but we need to understand which data can be trusted and where validation is required. Many successful AI agents deliver strong results because they operate within clearly defined rules and a human-in-the-loop framework.
What is the difference between a Copilot and an AI Agent?
A Copilot assists employees with their daily tasks. An AI Agent can also execute actions, coordinate processes, and handle exceptions. During the workshop, we identify which level of automation makes the most sense for your business scenario.
Does this make sense for small teams as well?
Yes. SMEs in particular benefit from AI because it can quickly reduce administrative bottlenecks and improve efficiency. The key is prioritization: it is better to implement one or two use cases successfully than to pursue ten ideas simultaneously.
Christian Dürr | AI Solution Manager
I would be happy to advise you personally. Give me a call: 058 200 14 14 or send me a message. I look forward to hearing from you!
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