Building AI solutions with partners: Empowering transformation with copilots

AI is shifting business today, across roles, functions, and industries. Microsoft technology empowers individuals and organizations to enhance productivity, creativity, and connectivity by integrating AI into everyday business processes. Microsoft Cloud can help organizations power their AI transformation in three ways:

1. Amplify human ingenuity with a copilot for everyone: Offering built-in and extensible AI capabilities in Microsoft Copilot to help people be more productive, creative, and efficient.
2. Deliver transformational experiences with build-your-own intelligent apps: Making it easy for customers and partners to build their own copilot solutions using the same stack and AI services Microsoft used to build its own copilots.
3. Safeguard business and data with a trusted AI platform: Microsoft has demonstrated leadership and delivered powerful tooling to help build safety and responsibility into AI solutions from the start—this includes guidance and best practices around responsible AI as well as secure AI principles that empower organizations with an end-to-end cyber risk approach that reinforces human control.

Part of enabling customers to adopt AI and deploy copilots includes empowering partners. Microsoft helps partners benefit from its unified data estate platform to create personalized, role-specific AI that can empower customers with meaningful and relevant experiences. Copilots can enhance development capabilities and allow partners to share the value of their domain experience with customers, reinforcing their commitment to innovation and excellence. Partners can extend and customize existing copilots from Microsoft or modify how copilots assist with core business functions, such as human resources, sales, or customer service interactions.

Building with partners

Partners play a crucial role in extending Microsoft’s offerings to customers with their domain expertise. When tailored to specific roles, copilots can personalize generative AI experiences, offering access to relevant business flows and data, when and where users need it.

The partners featured here have created copilots and AI platforms that support a wide range of industries and lines of business:

• TomTom has created its Digital Cockpit to turn cars into conversational companions.
• Modern Requirements has created an AI work item and requirements management assistant for healthcare, finance, automotive, aerospace, government, and defense industries.
• Dynatrace has developed Davis® AI which empowers countless use cases, supporting Microsoft Azure customers in areas like observability and security.
• Intellect Design has developed generative AI-powered copilot which allows a relationship manager to generate valuable insights from ISO 20022 payments repository data thereby helping corporations manage their funds better.
• Datamatics has created a partner onboarding copilot to help streamline and reduce the time spent on the onboarding process for vendors, partners, and more.
• MiHCM has developed an AI-powered human resources (HR) copilot called MiHCM SmartAssist.

TomTom

The TomTom Digital Cockpit is an open, modular in-vehicle infotainment platform. Their new AI-powered voice assistant enables users to engage in natural conversation with their cars and tackle complex driving requests. The voice assistant can handle follow-up questions and maintain contextual understanding, which means users can engage in multi-turn conversations and get relevant responses.

Key features include:

• AI-powered voice interaction: The digital cockpit enables natural voice communication with the vehicle, allowing drivers to control navigation, infotainment systems, and vehicle settings through voice commands.
• Integration with Microsoft Azure: TomTom utilizes Microsoft Azure OpenAI Service, Azure Cosmos DB, and Azure Kubernetes Service to provide a robust and scalable infrastructure, supporting advanced data handling and AI capabilities that enhance responsiveness and personalization.
• Customizable user interface: Automotive manufacturers can customize the digital cockpit to match their brand’s aesthetics and functionalities, making it adaptable to different vehicle models and consumer preferences.
• Cost efficiency: The system offers a cost-effective solution that reduces development expenses by up to 80%, providing a sustainable and economically viable option for car manufacturers.

Modern Requirements

Copilot4DevOps Plus is an AI-powered work item and requirements management assistant, which can be utilized by multiple industries such as healthcare and medical devices, finance, automotive, services and technology, aerospace, government, and defense. This tool, seamlessly integrated with Azure DevOps, optimizes requirement workflows with an easy-to-use interface and improves the requirements management process by enabling several key functions:

• Efficiency and productivity: It allows teams to focus on meaningful work by automating repetitive tasks and improving collaboration. In addition to powerful AI elicitation, analysis, conversion, and summarization, it gives teams cutting-edge features like pseudocode generation, dynamic prompts, and test script creation.
• Enhanced quality and security: Copilot4DevOps improves the quality of requirements by analyzing and refining them according to best practices in technical writing. It also incorporates Microsoft and OpenAI’s latest security features to help ensure data security.
• User control and customization: Users have the final say over the AI-generated content, with options to pick, edit, and refine outputs as per their specific needs.

Copilot4DevOps Plus is available as an add-on with Modern Requirements4DevOps or as a standalone in the Azure and Visual Studio Marketplaces.

Dynatrace

The Dynatrace platform delivers AI-enhanced cloud observability, security, and overall operational efficiency for global enterprises across all industries. With Davis® AI copilot, Dynatrace combined its predictive and causal capabilities and generative AI, built with Azure OpenAI, to bring Dynatrace Davis® hypermodal AI to market. This boosts the technical capabilities of IT teams by simplifying complex processes, enabling businesses to focus more on innovation and less on operational management.

Key features include:

• Davis® AI Engine: This core component leverages predictive, causal, and generative AI to provide deep insights and actionable recommendations. It automates tasks like anomaly detection, root cause analysis, and workflow automation, significantly reducing the manual effort required in managing complex IT environments.
• Predictive operations: The platform predicts potential issues before they impact operations using AI to forecast and automate responses, thereby ensuring reliability and proactive management of IT systems.
• Intelligent observability: Dynatrace uses AI to analyze real-time data across applications, services, and infrastructure. This helps in pinpointing issues quickly and accurately, which is crucial for maintaining optimal operational performance.
• Automation and integration: The platform’s automation capabilities extend to auto-discovery, auto-instrumentation, and auto-baselining, ensuring comprehensive coverage and real-time, dynamic responses to changes within the IT landscape.
• Azure native software as a service (SaaS): Azure Native Dynatrace Service seamlessly provides deep cloud observability, advanced AI for IT operations (AIOps), and continuous runtime application security capabilities native to all Azure customers empowered with Azure OpenAI generative capabilities.

Intellect Design

The iGTB Copilot helps banking professionals generate insights and provide cross-sell assistance in commercial and corporate banking. It leverages generative AI to streamline operations and client interactions, allowing relationship managers to spend less time on manual data analysis and more on strategic client engagement. Here are the key functionalities:

• Comprehensive payment analysis: It enables users to perform detailed analyses of historical payment data, helping to identify trends and patterns without the need for any programming skills. It also helps in identifying delayed payments.
• Visual data summarization: The iGTB Copilot can automatically transform complex data into easily understandable visual graphics and provide insights and suggested actions.
• The iGTB Copilot, composed on the Purple fabric of eMACH.ai, is powered by Azure OpenAI, GPT-4 Turbo model, and other Azure infrastructure services.

Datamatics

Datamatics Copilot for Partner Onboarding is integrated with Microsoft Teams and leverages Microsoft Copilot, Microsoft Teams bot framework, and Azure OpenAI technologies. The application is designed to streamline the onboarding of vendors, business partners, freight forwarders, and employees across different geographies, making what is traditionally a complex and tedious process much more efficient.

Key functionalities include:

• Natural language querying: Users can query the status of onboarding processes and receive updates using conversational language.
• Automation and integration: The Copilot automates the creation of partner records and integrates seamlessly with other business systems for efficient data management.
• Real-time updates and communication: Enables prompt communication with partners about their onboarding status, including rejections, directly from Teams.
• Document management: Maintains and enforces compliance by specifying required documents for each country, ensuring partners submit the correct documents.

MiHCM

MiHCM SmartAssist is an AI-powered HR copilot designed to streamline HR processes. This tool is part of the MiHCM platform and offers a range of functionalities and customizations that simplify various HR tasks.

Key features include:

• Document generation: SmartAssist, built on top of Azure with services, including Azure OpenAI, Azure AI Search, Azure App Service, and Azure SQL Database, and leveraging Microsoft’s Copilot framework, can quickly generate employee letters with just a few keystrokes. It ensures that these documents are personalized by dynamically incorporating employee data.
• Job description creation: It automatically generates job descriptions that reflect the company’s unique voice and tone, including key performance indicators (KPIs), qualifications, and experience requirements.
• Customization capabilities: Users can easily adjust the content generated by SmartAssist, ensuring the output meets their specific needs.
• Data analysis and reporting: SmartAssist leverages employee data to analyze and calculate statistics, generate reports, and provide information at high speeds, enabling business leaders to make informed decisions quickly. This tool can answer high-level questions, going beyond mere facts and figures to provide valuable insight quickly. Information that would take days to gather can now be analyzed and provided in seconds.

Next steps to adopt AI and deploy copilots

• Check out our digital session at Microsoft Build 2024, that discusses enabling independent software vendors (ISVs) to transform industries in the age of copilots.
• Assess the drivers of AI success so you can realize meaningful business impact with AI.
• Learn how to power your AI transformation with Microsoft.
• Learn more about creating generative AI experiences with Microsoft Cloud across many Microsoft solutions.
• Envision boosted creativity and work productivity with Copilot for Microsoft 365 and learn how to extend it.
• Start using GitHub Copilot and Microsoft Copilot for Sales, now generally available.
• Learn how to build safety and responsibility into your AI journey from the start.
• Learn more about the featured ISVs: TomTom, Modern Requirements, Dynatrace, Intellect Design, Datamatics, and MiHCM.