Frequently asked questions | FAQ

What requirements does our organization need for Microsoft Copilot or Google Gemini?

For a productive AI launch, you need suitable M365 or Google licenses, a clean authorization and data access concept (least privilege), clear guidelines for responsible use and a small pilot team with specialist departments, IT and data protection. Dedicated onboarding, training, a champions program and telemetry to monitor usage and security are recommended. Technically, we review Tenant settings, OneDrive/SharePoint governance and third-party integrations.

How does an AI pilot project work?

A typical pilot lasts 4–6 weeks:
Diagnosis & use case selection
Technical preparation (licenses, policies, data access)
Enablement & training
Controlled rollout to pilot group
Success measurement based on defined KPIs (e.g., time savings, usage rate, satisfaction)
Conclusion with recommendations for scaling. Results are documented and summarized in a go/no-go decision.

How do we measure the benefits of Copilot or Gemini?

We recommend combined metrics:
Quantitative KPIs (time saved on research, email, meetings; automation rate; reduction in manual steps)
Qualitative KPIs (user satisfaction, NPS, adoption rate)
Telemetry from M365 or Google Workspace
Random task time measurements provide reliable data
A KPI dashboard shows progress in each area and forms the basis for scaling decisions.

How do we deal with data protection and compliance (CH/EU)?

Data minimization and a tiered authorization concept are key. We check data flows and storage locations (CH/EU) and define guidelines for sensitive use (e.g., no personal data in prompts).

A privacy briefing for pilot users and audits prior to rollout are mandatory.

What is a RAG knowledge assistant (agent) and when is it worthwhile?

RAG (Retrieval-Augmented Generation) combines a language model with your verified knowledge base. RAG is particularly useful for document-intensive processes (support, quality, compliance). We start with source selection, access control, and guardrails, and then develop agents.
The result: more accurate answers and fewer hallucinations.

We work with Microsoft Copilot or Gemini.

Which processes are suitable for automation?

Recurring, rule-based activities with clear inputs/outputs (e.g., approvals, form processing, status messages, email drafting, log creation) are well suited.

We prioritize based on usefulness x feasibility, start with low-code prototypes, and harden successful flows.
Governance includes naming conventions, environments, monitoring, and security reviews. Microsoft Power Automate & AI Builder or Google AI Studio & AppSheet.

What roles does an AI program need?

A streamlined setup includes:
Executive Sponsor
Program Management
IT/Platform
Data Protection/Legal
Security
Department Champions
Training/Change
Controlling

What cost models does TeamWolke offer?

Typical pricing includes package prices for workshops/pilot projects, daily rates for consulting/training, and optional retainers for operation/further development. We provide transparent service scopes, milestones, and success criteria.

Take a look at our learning offerings.

How do we ensure acceptance and change management?

We combine a "why now" story, concrete use cases, lightweight training (use case path), a community of champions, and visible sponsorship.

An enablement plan links learning paths with KPIs and safety guardrails.

What are the risks associated with introducing GenKI, and how can we mitigate them?

Typical risks:
Data leakage
Hallucinations
Bias
Shadow IT
Legal issues

Countermeasures:
RAG with curated sources, prompt guardrails, human-in-the-loop, training, and clear guidelines. We document responsibilities and escalation paths.

How do we select the right use cases?

We use an evaluation matrix based on benefits (time/money/risk), feasibility (data, processes, tools), and compliance.

In workshops, we prioritize 5–8 candidates, refine 2–3 as pilots, and define clear success metrics.

What do you mean by "technology in the service of people"?

AI is a tool used by humans.
Technological progress and moral responsibility are inextricably linked.
We offer value-based consulting that is always focused on fairness, transparency, and data protection.
Our services are designed to increase efficiency in your company while ensuring that the technologies used are deployed securely and responsibly.

How do I start working with Teamwolke?

The easiest way to start your journey to the cloud and AI is with a free 25-minute virtual consultation. During this no-obligation discussion, you will have the opportunity to describe your challenges and learn how we can help you increase your productivity and streamline your processes.

Do you only work with certain tools or providers?

We specialize in the seamless integration of cloud and AI solutions into existing Microsoft (Microsoft 365, Copilot, Power Apps) and Google environments (Google Workspace, Gemini, AppSheet).

Our expertise in these two leading ecosystems enables us to develop efficient and customized solutions that improve your teams' everyday work.

How can AI increase my company's productivity?

AI has the potential to massively increase productivity. Over 60% of business owners believe that AI technologies can make their work more efficient.
Through process automation and content creation, AI can reduce manual work and free up valuable resources that can be used for more strategic tasks.

What types of training does Teamwolke offer?

Teamwolke offers customized training (skill-ups) ranging from basic knowledge to advanced AI techniques. This includes practical live sessions and videos as well as training on the responsible use of AI.

How do you ensure that the training courses are tailored to our needs?

We use questionnaires to determine the current level of knowledge within your company. Customer feedback confirms that our training courses are tailored precisely to the specific needs and questions of the teams.

One trainer is described as "highly motivated" and "knowledgeable," with the ability to deliver "just the right amount of information for users." This ensures that the learning content is highly efficient and relevant.

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