AI is used in different ways
Some employees use AI every day, while others aren't sure where to start. Knowledge, tools, and guidelines are scattered.
From repetitive office tasks to employees’ use of Copilot. We’ll help you identify relevant use cases, test solutions, and establish a framework for governance and security.
Consulting, automation, and skills development across systems.
Opportunities and frameworks are developed together.
We’ll review your processes with you and explore opportunities for streamlining and automation. You’ll receive a report detailing our findings, an assessment of the potential, and recommendations.
Next, you choose which features you would like help implementing. Implementation is arranged separately.
Across systems. Business Central is not a prerequisite.
The first step is to understand the task and the way you work. You don’t need to have chosen an AI tool or outlined a complete solution to schedule a conversation with us.
Some employees use AI every day, while others aren't sure where to start. Knowledge, tools, and guidelines are scattered.
Information is transferred between emails, documents, spreadsheets, and systems. You will identify which steps can be simplified or automated.
Who is allowed to use what information? Who verifies the response? And who takes action if an agent makes a mistake?
AI can support specific tasks such as drafting customer responses, reviewing documents, working with spreadsheets, and preparing information. Agents and automation can link multiple steps together. The possibilities must be evaluated in conjunction with requirements regarding data, quality, and employee oversight.
We can start with a single assignment, a course, or a framework for using AI. The program will be tailored to your specific situation.
We analyze a specific task and assess whether the solution should be an AI assistant, an agent, standard automation, or a process change. A pilot test must demonstrate both quality and actual labor savings.
We focus on employees’ specific tasks and on evaluating AI responses. Course topics include Copilot for Excel and the use of AI or Copilot in the workplace. The content, level, and format are tailored to the target audience.
We help make responsibilities, guidelines, and access concrete. The work is organized in collaboration with your management, IT, and relevant stakeholders so that the framework can be applied in daily practice.
Get help when a solution produces unexpected results, access is unavailable, or an integration changes. We’ll agree on what the support covers, who will handle inquiries, and how issues and requests for improvements will be addressed.
AI governance is the way you make decisions about, take ownership of, and monitor your company’s use of AI. The framework should be tailored to the tasks at hand and clearly define what employees can do on their own and what requires a decision.
Inventory AI tools and use cases. Designate an owner for each solution and the individuals responsible for approving new use cases, changes, and access.
Describe approved tools, permitted tasks, data types, and verification requirements. Make it clear to employees when they should ask for help.
Tailor training to employees' roles. Agree on who will evaluate results, approve actions, and follow up on errors and deviations.
Monitor quality, usage, and consumption. Agree on when the solution should be reevaluated—for example, when new data sources, new features, or changes in work tasks arise.
We provide practical guidance and assistance with organization in collaboration with your management, IT department, and the relevant personnel responsible for data and compliance.
An AI tool must be evaluated in the context in which it is used. We help describe the data flow, access, and controls for the specific solution and test relevant error scenarios.
The framework may include approved tools, employees’ use of data, and agents’ actions. Any need for data protection, legal review, or specialized security assistance should be discussed with your supervisor.
Distinguish between public information, internal documents, confidential business information, and personal information. Determine the purpose and necessity before sharing.
Review the specific terms of service, data retention policies, deletion procedures, any use for model training, and access policies of the service providers. Paid access does not in itself guarantee security.
Limit access based on the task. Distinguish between reading, making suggestions, and taking action. Obtain approval before making relevant changes, issuing communications, or taking other actions that affect the business.
Test for incorrect answers, lack of access, and manipulative instructions in external content. Agree on appropriate logging, accountability in the event of incidents, and the ability to stop the automation.
Imagine that customer service needs help with a draft based on the company’s approved guidelines. We examine both the task itself and the framework it requires.
Find relevant information, prepare a response, and make it easier for the employee to verify the facts. We are testing how the solution handles missing or conflicting information.
Which documents may be used? Who maintains them? What customer information may be included? And who approves the response before it is sent? Access to other customers' information must be included in the test.
An illustrative example for testing purposes. This is not a customer case study or a promise of a ready-made, off-the-shelf solution.
We begin with an initial discussion about your needs and aspirations. A focused analysis is often helpful when the issue requires further examination. A paid workshop can bring employees and management together around a shared vision.
The next steps may include testing, implementation, or training. We agree on the scope, responsibilities, and price before moving forward, and we also assess whether a simpler solution without AI is best suited for the task.
The scope of services is defined in the proposal and tailored to your project, organization, and responsibilities.
An AI tool, a data source, or an integration may change. Employees may also encounter situations that were not included in the initial testing. Support must play a clear role in the collaboration.
We help determine whether the problem lies in the data, instructions, access, integration, or the selected service. Relevant checks and the option to temporarily pause an automation process are included in the agreed-upon workflow.
Agree on how changes to tools, models, data sources, and access will be evaluated and tested. It must be clear who is responsible for monitoring these changes and when a change requires new approval.
Questions about usage, quality, and workflows may require guidance or additional training. Repeated inquiries can be used to improve instructions, training, and the specific solution.
We clarify communication channels, covered solutions, availability, prioritization, and expected response times. The agreement distinguishes between bug fixes, maintenance, and further development, as well as between our responsibilities, your responsibilities, and the supplier’s responsibilities.
The scope and price of support are agreed upon separately or are expressly included in the overall offer. Paid services, licenses, and usage are billed according to the agreed-upon model.
Academic content: Zealand Data · Background sources reviewed on November 13, 2026.
Tell us about your workflow, your employees’ needs, or the resources you’re missing. Then we’ll discuss the next appropriate step.