AI Agents in action – use cases from sales, service and project management

Imagine this: It’s Monday morning, and the sales team is getting ready for an important client meeting. But instead of digging through old CRM entries and cryptic email threads, a tailored, well-structured prep report lands in their inbox, right on time, with all the relevant info, clear and concise. And after the meeting? All it takes is a quick voice note, and the meeting minutes are automatically documented in the system. Thanks to AI agents, this is already a reality in some companies.

But how do these solutions come to life? At proMX, we work every day (and sometimes at night) on the question of how automation and artificial intelligence can actually make work less labor-intensive. That’s why, in this article, we’re sharing real-world use cases based on actual projects and conversations with users and decision-makers who know what they’re talking about.

We’ll show you how AI and automation are transforming processes, saving time, and opening up new possibilities. And yes, despite all the technological advances, people remain a crucial factor.

Smart preparation: automated prep reports for sales

At a glance:

• Possible applications: Sales, Service, Field Service
• Saves time on meeting prep
• Better conversations through targeted information
• Automated and AI-powered analysis for more insights

In sales, good preparation is just as important as the actual pitch. But researching customer data, past projects, and product usage eats up valuable time. This is where an automated visit report comes in: Before every client meeting, the sales team receives a custom report that pulls together all relevant CRM information from previous projects to current product usage.

The report is generated automatically via a workflow that recognizes upcoming appointments and transfers the right data into a clear Word or PDF document. Next, AI-powered summaries highlight key findings and trends for each customer. This way, the sales team heads into every conversation fully prepared and saves hours of manual preparation.

Intelligent follow-up: voice-based meeting documentation

At a glance:

• Possible applications: Sales, Service, Field Service
• Quick and easy documentation right after the meeting
• Structured meeting notes without manual effort
• Improved traceability and team communication

Following up after a client meeting is just as important as preparing for it. With voice-based meeting documentation, this process becomes much more efficient: Sales or account reps can record what was discussed right after the meeting using a voice memo. An AI-powered system automatically converts speech to text and creates structured meeting notes in the CRM.

In an advanced version, a digital agent can prompt for agenda items and systematically document the responses. This creates a complete, traceable conversation history that not only makes follow-up easier but also improves team collaboration.

Contracts under control: automated contract review with AI

At a glance:

• Possible applications: Procurement, Legal, Contract Management
• Faster contract review and assessment
• Automatic detection of deviations and risks
• Flexible adaptation to different document types

Manual contract review is often time-consuming and prone to errors. With AI-powered solutions, this process becomes much more efficient: An intelligent agent analyzes incoming contract documents, automatically detects deviations from the standard, and extracts the most important content. Specialized models are used that can flexibly adapt to different contract formats.

This gives legal and procurement teams a quick overview of critical points so they can focus on what really matters. The AI handles the routine work, the final assessment always stays in human hands.

Rethinking support: autonomous email triage

At a glance:

• Possible applications: Service, (IT) Support, Helpdesk
• Automatic handling of routine inquiries
• Relieves the support team
• Faster response times for customers

Customer service and IT support teams receive countless emails every day, many of them routine requests that repeat over and over. This is where the “email triage” comes in: AI agents automatically sort and assess incoming messages. They identify which issues can be resolved quickly and easily, and route more complex cases to the right team members.

That means standard requests like password resets or general info are handled instantly, with no wait time, while the support team has more time for the tricky cases. The AI agents work in the background, respond to new emails, and use existing guidelines to craft appropriate replies.

For customers, this means fast help with simple issues; for companies, it means more efficient support and more room for personalized service.

Project planning with foresight: AI-powered dependency analysis

At a glance:

• Possible applications: Project Management, PMO, R&D
• Automatic analysis of project dependencies
• Suggestions for adjustments when schedules change
• More transparency and better decision-making

Complex projects consist of many tasks that often depend on each other. An AI-powered solution can analyze these dependencies and automatically suggest adjustments when schedules shift. It considers not only the project structure but also internal guidelines and minimum intervals.

Project managers get a clear overview of the impact of changes and can make informed decisions. The AI provides transparency and supports planning, while the final approval always remains with people.

Technical perspective – what’s behind these solutions?

Automation and AI are often mentioned together, but they’re fundamentally different: Automation handles repetitive, clearly defined tasks, like generating reports or extracting data from the CRM. It’s based on fixed rules and workflows, implemented with tools like Microsoft Power Automate.

Artificial Intelligence goes a step further: It can analyze data, recognize patterns, and even understand and process language. Modern business solutions use a variety of technologies and platforms:

• Microsoft Copilot: As an AI-based assistant, Copilot supports various Dynamics 365 modules. For example, Copilot can automatically create summaries of customer conversations, analyze contract documents, or help with project planning.

• Copilot Studio: With Copilot Studio, you can design custom AI agents and automations tailored to your company’s needs. For example, you can develop your own workflows for email triage or meeting documentation.

• Dynamics 365 modules: The use cases described can be integrated directly into Dynamics 365 Sales, Dynamics 365 Customer Service or Dynamics 365 Project Operations. Here, automation and AI work seamlessly together – from automated report generation to intelligent project data analysis.

Several models are used:

• LLMs (Large Language Models): Specialized in analyzing, summarizing, and generating text, such as meeting notes or contract reviews.
• Speech-to-text: These models convert spoken language into text, enabling fast, voice-based documentation.
• Agents: Autonomous agents work in the background, respond to triggers like new emails, and perform actions independently, no direct user interaction required.

By the way: AI is not the same as a chatbot. While classic chatbots respond to direct input, autonomous agents act independently and take on tasks that previously required manual work.

Conclusion: AI as co-pilot – seize opportunities, know the risks

The examples show: AI and automation offer huge opportunities to make processes more efficient and smarter. They relieve teams, create transparency, and enable new forms of collaboration. But despite all the progress, human oversight remains essential. AI provides valuable support, but the final decision should always rest with experts.

If you’re exploring AI-powered processes, stay open to new ideas, but also evaluate critically and gain your own experience. That’s how AI becomes a true co-pilot in your daily work.

Maybe our use cases have inspired you, and you want to launch your own AI agent project? Our experts are happy to discuss your ideas and help you bring them to life.