Defining before designing

11/2/2025
AI
Product & Tools
Peter Kestenholz
Founder - Projectum

If you had an AI-agent that knew everything about your project, what would it know? A successful implementation of AI in your organization starts with this question. It is about more than just technology – it’s about process and knowledge.

“If you had an AI-agent that knew everything about your project, what would it know? Start with this question before building your agents.”

AI can only act as your assistant and give you a shortcut to knowledge and insight – if it knows about your project.

With Microsoft copilot agents you can build your own agents that unuquely suit your needs. However, to achieve success, you need to asses what it needs to know.

What is a Microsoft Copilot Agent?

Copilot agents are specialized AI assistants designed to work with Microsoft 365 offerings. It can support you by offering suggestions when writing emails, automating repetitive tasks like data entry and scheduling, and provide insights to make more informed decisions such as providing .

Explore more of the Microsoft Copilot Agents capabilities here.

The 5 questions for succesful copilot agent implementation

A lot of companies make the mistake of looking at AI implementation as a purely technogical process. But gaining value from Microsoft Copilot is about more than making the technology available. It should fit the organization and this process begins with asking the right questions.

This means identifying who has the relevant knowledge and then interviewing the experienced professionals to understand their work situation. You should understand the tools, processes, and rhythm: what do they do, how do they do it, and how often?

“The people who know the answers to these questions are your domain experts – not your IT or AI team. That’s where you should start.”

This knowledge allows you to design a virtual agent that can fit into this, provide value, and understand the right things.

“As an adviser, and trainer, on Copilot and Agentic AI, I have learned that defining, before designing, is crucial for agent development success.”

Here are the five question, I always ask during implementation.

What would the perfect AI assistant know?

What type of information is relevant for the AI assistant to provide value? This could be

  • Proejct and taskmanagement data
  • current best-practices in the organization
  • industry-specific knowledge
  • domain knowledge
  • Compliance and regulations
  • User preferences & habits
  • News and market trends
  • Historical decision patterns or trendanalysis

How would the perfect AI assistant know it?

Mapping out the information requires insight into knowledge sources. Where is the information the AI needs located? How will it access the information?

This could be via

  • Explicit user input
  • Behaviour tracking and pattering recognition
  • Access to calendar or tasks
  • Pretrained models
  • Documentation
  • Relevant tools or system integration
  • Historical data analysis
  • And more

When would you use your AI assistant?

Understanding when and how you’ll use your AI assistant helps shape its integration with key systems and the knowledge it needs to be effective.

Will it assist during specific times of the day, such as daily stand-ups or end-of-day reporting?

Is it most valuable during certain project phases, like planning, execution, or review?

Or is its role tied to critical milestones, such as quarterly reviews, stakeholder presentations, or compliance deadlines?

Defining these contexts ensures your AI assistant delivers the relevant insights exactly when they’re needed.

Who would use the information from an AI assistant?

Different roles benefit from AI in different ways.

  • Project Leads – Use AI insights to track progress, identify risks, and ensure teams stay aligned with project goals.
  • Team Members – Employ AI for task management, automated reporting, and quick access to relevant project data.
  • PMO (Project Management Office) – Gain high-level visibility into project portfolios, resource allocation, and performance trends to support strategic decision-making.
  • C-Level Executives – Use AI-driven reports and analytics to assess overall business impact, make data-driven decisions, and prepare for key meetings with stakeholders.

Almost every role in the organization can benefit from AI by getting faster insights, reducing manual efforts, and improving data-driven decision making. By asking these questions, you ensure that you deliver the right information, to the right people, at the right time.

Where is the AI assistant available?

Defining where the AI assistant should be available will help guide you in your technological investments.

  • Copilot Chat – Engage in real-time conversations, ask questions, and get instant AI-driven insights.
  • Microsoft 365 Apps – Access AI assistance within tools like Teams, Outlook, Word, Excel, and PowerPoint for enhanced productivity.
  • In-App Integrations – Embedded directly into business applications and project management tools for context-aware support where you need it most.
  • Custom Agents

Embracing Agents for a smarter future

In the future, people will work alongside AI.

Whether embedded in Microsoft 365 apps, Copilot Chat, or custom business applications, these AI-powered assistants ensure that the right information reaches the right people at the right time. As AI technology evolves, the potential for custom agents will only expand, unlocking new levels of efficiency and innovation.

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AUTHOR
Peter Kestenholz
Founder - Projectum

Peter Kestenholz is a successful entrepreneur and business leader with 20 years of experience from founding and growing the company Projectum. Peter is a recognized Microsoft MVP for 13 years straight, Fast Track Architect for the second year in a row the second year and a member of the Forbes Technology Council.

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