Internal AI assistants and agents
We want to build an internal AI assistant or agent
You are past everyday use of generative AI and want assistants aimed at specific employees, tasks, or disciplines. From custom GPTs and Copilot Studio agents to AI work systems that operate directly in your files and knowledge.
Does this sound familiar?
Staff have learned to write good prompts, but they write the same prompts over and over. Case workers, HR consultants, or finance staff each have a task where an assistant with the right instructions and the right knowledge would save the same effort every day.
Some have tried building an agent in Copilot Studio or a custom GPT in ChatGPT. It worked for the demo but not in the real process. It lacked domain understanding, the right knowledge, or a clear purpose.
A good internal AI assistant starts with the specific task and the person doing it, not with the technology. That is where we start.
Anders on the task
Anders Jensen
Microsoft MVP and UiPath MVP
A good internal AI assistant starts with the specific task and the person doing it, not with the technology. The agent has to fit the real process, or it stays a demo.
What the work can include
We work with Copilot Studio, custom GPTs in ChatGPT, Claude, and the agent tools that operate directly in your files. The tool is chosen to fit the task and your platform.
Internal assistants built for your own needs
Assistants for specific groups of employees and tasks, where the teams learn to build and improve them themselves.
- Identifying the use cases where an assistant adds the most value.
- Designing instructions and intended behaviour together with the people who will use it.
- Building custom GPTs or equivalent internal assistants.
- Workshops where teams design, build, and refine their own assistants.
- Iterating and testing on real tasks, not on examples.
A Copilot Studio agent for one specific process, such as case handling
When an agent has to sit inside a real process with large volumes of information, professional rules, and structured documents, domain understanding matters at least as much as the technology.
See what it includes
- A Copilot Studio agent designed around one specific process, such as drafting case summaries.
- Relevant professional knowledge, legislation, and internal guidelines as the agent's foundation.
- Supporting the employee in the process rather than acting as a generic chatbot.
- Combining the agent with Power Automate to automate the steps that follow.
From Copilot Studio experiments to an internal capability
If you want to build agents yourselves going forward, we design the programme so the learning stays with you.
See what it includes
- An introduction to Copilot Studio and hands-on workshops over one or two days.
- A progressive programme over several sessions, developing your own use cases along the way.
- Technical setup and governance so agents can be published safely. Optionally AI Foundry.
- Train-the-trainer and a hackathon where the learning is applied to your own solutions.
AI work systems: Agents that operate directly in your files and knowledge
The latest generation of tools does not stop at chat. Agents such as Claude Code and Copilot Cowork work directly in your documents, folders, and systems and complete tasks end to end. Anders uses them himself every day.
See what it includes
- Setting up a work system where AI agents have access to your knowledge, templates, and rules.
- Designing repeatable workflows the agent can run: Reports, drafts, clean-up, data extraction.
- Rules for what the agent may do on its own and when a person has to approve.
- A pilot with a single department before rolling the system out more widely.
How we have helped others
The examples are anonymised. The experience comes both from our own deliveries and from the specialists in our network.
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Workshops where teams built their own custom GPTs
Several workshops in a large organisation where different teams each designed and built custom GPTs for their own tasks and learned how to improve them afterwards.
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Agents for case handling in the public sector
Experience from municipal agent projects in Copilot Studio, aimed at specific case-handling processes and grounded in professional knowledge and legislation.
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Extended programme from experiments to own agents
A programme of recurring sessions where participants built their own agents, got governance and AI Foundry in place, and finished with a hackathon on their own solutions.
Price and format
If you want to learn to build, a workshop programme with Anders Jensen fits: One on-site day where you build the first assistant on your own tasks, plus half a day of online follow-up. If an agent needs to be designed and built for a specific process, we use a workshop day or an hour package with a specialist from our network who has done exactly this kind of project before.
Recommended: With Anders Jensen
Workshop program
DKK 53,500 excl. VAT
See all prices, programs, and termsWrite to us
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Frequently asked questions
Copilot Studio or a custom GPT? Which should we choose?
It depends on your platform and data. If you run Microsoft 365 and the agent needs SharePoint, Teams, and your internal data, Copilot Studio is the natural choice. If the task is narrower, or you already work in ChatGPT, a custom GPT can be faster to get started with. We assess it together based on the task.
What does it cost to run a Copilot Studio agent?
Copilot Studio is billed in credits, and the cost depends on how much the agent is used and whether users hold a Microsoft 365 Copilot licence. We have written an article with a calculator so you can work it out for your own situation. The link is at the bottom of this page.
Can we maintain the agent ourselves afterwards?
Yes, that is the goal. We prefer to build together with you so your own people know the solution. If you expect to build many agents, we recommend a programme that enables you to continue on your own, combined with proper governance.
What is an AI work system?
A setup where an agent such as Claude Code or Copilot Cowork works directly in your files, knowledge, and systems under fixed rules, instead of you copying text in and out of a chat. It suits recurring tasks that involve many documents.
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