Supercharge your Agents and Flows with AI Prompts

AI has evolved beyond a simple tool for assistance and has become a dynamic force driving business transformation. Over the past year, generative AI adoption among business leaders and decision-makers has soared from 55% to 75%, and the momentum continues to build. AI models have become faster, more efficient, and more specialized, enabling them to handle a vast range of tasks—from writing and coding to advanced reasoning and problem-solving. With powerful capabilities like the o1 model in Azure OpenAI Service, these frontier models can analyze complex problems, structure logical steps, and generate responses that closely resemble human decision-making.  

As a result, mastering how to instruct AI models effectively is now crucial to unlocking tangible results and boosting productivity in the AI age. New tools are emerging that empower users to fully leverage AI’s potential. One such tool is the AI Prompt Builder, an advanced capability included in Copilot Studio and Power Automate. This feature allows users to craft precise instructions and choose the most suitable model for each task, whether automating information extraction from e-mails using GPT-4o mini or enabling agents to analyze customer feedback with o1 to identify pain points. Through this prompt engineering interface, organizations can customize AI to behave exactly as needed for their unique business scenarios. 

AI Prompts provide structured instructions to improve AI results 

AI Prompts provide structured instructions that guide large language models (LLMs) to perform specific tasks. This technique, known as instruction tuning, allows businesses to optimize AI-generated responses for more precise, relevant, and useful outputs. By clarifying directives, instruction tuning reduces ambiguity and enhances consistency across automated and agentic workflows. With AI Prompts, organizations can also ground models in their enterprise data—respecting runtime user permissions and data policies—so they can securely draw insights from internal resources. By carefully crafting prompts, businesses can extract higher-value insights, automate complex processes, and improve AI alignment with organizational goals.

We are excited to announce that AI Prompts can now leverage the o1 model in Copilot Studio, unlocking even more advanced reasoning capabilities for your AI-driven workflows. For instance, imagine a customer support scenario in which agents need to analyze complex troubleshooting data—like error logs or past support tickets—to pinpoint the root cause of an issue. By tapping into o1’s powerful logic and step-by-step reasoning, agents can rapidly identify patterns, suggest tailored solutions, and offer clear next steps for resolution. This enhanced approach not only streamlines support operations but also elevates the overall customer experience. The advanced reasoning o1 model in AI Prompt Builder, currently in private preview, will be available to all customers in March.

How to configure AI Prompts 

AI prompts leverage several key features to create specialized AI-powered functions. They include: 

• Customizable Instructions: Users can tailor prompts to address unique business needs, ensuring AI-generated content aligns with specific workflows and objectives. 

• Dynamic Input Handling: AI Prompts can integrate input variables and contextual data, making responses more relevant and adaptable based on real-time information. 

• Model Selection for Tasks: Users have the flexibility to choose the right AI model for specific tasks, optimizing performance and accuracy based on the desired outcome. 

• Knowledge and RAG with Dataverse Data: AI Prompts can leverage knowledge retrieval and retrieval-augmented generation (RAG) to contextualize prompts with relevant data from Dataverse, ensuring more informed and accurate AI responses. 

• Document and Image Processing: AI Prompts can handle document and image inputs, enabling AI-driven workflows to extract insights, summarize content, and interpret visual data. 

• Configurable Output Formatting: Responses can be structured in JSON format, allowing seamless integration into applications that require standardized data outputs like Power Automate. 

For more details on leveraging these features to craft effective prompts, download our Prompt Guide. 

Real world applications of AI Prompts 

AI Prompts enable an endless number of scenarios and can apply to a multitude of industries and processes. Some of the most common use cases our customers are implementing include: 

• Document Processing – AI Prompts can automate document extraction, categorization, and summarization, making handling large volumes of text-based content more efficient. 

• Email Classification and Auto-Reply – AI Prompts can analyze incoming emails, categorize them based on intent, and generate automated responses to streamline communication. 

• Automated Content Summarization – AI Prompts can be configured to extract key insights from lengthy documents or emails, making it easier to digest critical information efficiently. 

• Data Transformation – AI Prompts can be used to convert raw data into structured formats, improving data consistency and usability. 

Building on the sample scenarios above, The AI Builder Prompt Library offers a curated set of ready-made prompts designed to help you rapidly create AI-driven results. With practical examples and step-by-step guidance, these resources streamline prompt engineering—enabling you to craft precise instructions, simplify workflows, and optimize AI-driven initiatives. 

Getting Started with AI Prompts 

Ready to transform your business processes with advanced AI tools? 

With AI Prompts, you have access to the latest AI models, enterprise-grade security, and a powerful instruction building playground. Start supercharging your flows and agents with these AI tools today!