Dynamics 365 is Microsoft's comprehensive business applications suite. It offers solutions covering various business areas such as sales and marketing, services, enterprise resource planning (ERP), small and medium-sized businesses, artificial intelligence (AI), customer experience, supply chain, and finance. Its primary function is to help businesses optimize their processes, increase efficiency, and deliver better customer experiences.

Artificial intelligence (AI) and Copilot technology are central elements of Dynamics 365 applications and aim to transform business processes. Copilot combines the power of Microsoft 365 with Dynamics 365's industry-specific insights and actions to streamline workflows, automate repetitive tasks, and boost creativity. For example, it helps sales teams create sales readiness summaries, summarize emails, update CRM records, and gain real-time sales insights during Teams meetings. This reduces the time spent on manual tasks, allowing salespeople to focus on connecting with customers and closing deals.

Microsoft Dynamics 365 Sales is an AI-enhanced CRM system designed to increase sales rep productivity and close more deals. It provides the ability to qualify prospects, provide relationship insights, make recommendations for next steps, and coach sales managers. Gartner has recognized Microsoft as a Leader in the 2024 Gartner Magic Quadrant for Sales Force Automation for the 14th consecutive year. This recognition stems from Dynamics 365 Sales' ability to enhance sales team efficiency and deliver personalized buying experiences.

The Dynamics 365 Implementation Portal is a self-service tool designed for Dynamics 365 customers and partners. Its purpose is to help manage project data, users, and reviews to ensure a successful cloud deployment. Key benefits include: managing project data and users, profiling projects by selecting relevant Dynamics 365 products and features, conducting project reviews based on the Success by Design framework to identify potential risks and mitigation recommendations, and providing access to specialized application guidance, including feature and product documentation, TechTalks, training materials, and case studies.

Microsoft Copilot for Sales and Microsoft Copilot for Service combine the power of Microsoft Copilot for Microsoft 365 with role-specific insights and actions. The key differences are as follows: 1- Copilot for Sales: Designed specifically for sales teams. It connects to CRM platforms such as Microsoft Dynamics 365 Sales and Salesforce Sales Cloud to bring sales-specific insights and recommendations to applications like Outlook, Microsoft Teams, and Word. It offers features such as creating sales meeting preparation summaries, summarizing and drafting emails, updating CRM records, and providing real-time sales insights during Teams meetings. 2- Copilot for Service: Optimized for customer service agents. It integrates generative AI capabilities into everyday tools like Outlook and Teams, providing AI-powered responses and resources tailored to each customer issue and conversation. It offers flexible integration with existing CRM and call center systems such as Salesforce, ServiceNow, and Zendesk. The general availability of both means that these AI-powered tools are now accessible to a wider user base and can be widely used in business processes. 1- Copilot for Sales: Satış ekipleri için özel olarak tasarlanmıştır. Microsoft Dynamics 365 Sales ve Salesforce Sales Cloud gibi CRM platformlarına bağlantı kurarak Outlook, Microsoft Teams ve Word gibi uygulamalara satışa özel içgörüler ve öneriler getirir. Satış toplantısı hazırlık özetleri oluşturma, e-postaları özetleme ve taslak hazırlama, CRM kayıtlarını güncelleme ve Teams görüşmelerinde gerçek zamanlı satış içgörüleri sunma gibi özellikler sunar. 2- Copilot for Service: Müşteri hizmetleri ajanları için optimize edilmiştir. Outlook ve Teams gibi günlük kullanılan araçlara üretken yapay zeka yeteneklerini entegre eder, her müşteri sorununa ve konuşmasına özel yapay zeka destekli yanıtlar ve kaynaklar sağlar. Salesforce, ServiceNow ve Zendesk gibi mevcut CRM ve çağrı merkezi sistemleriyle esnek entegrasyon sunar. Her ikisinin de genel kullanıma sunulması, bu yapay zeka destekli araçların daha geniş bir kullanıcı kitlesi tarafından erişilebilir hale geldiği ve iş süreçlerinde yaygın bir şekilde kullanılabileceği anlamına gelir.

Dynamics 365 Customer Insights helps customer experience (CX) leaders by consolidating, enriching, and making sense of customer data. It provides the ability to predict customer intent and deliver valuable insights. Thanks to AI-powered features, data analysts and marketers can interact directly with customer data using natural language, enabling them to run queries without knowing SQL. This allows marketers to understand customer preferences and needs in near real time and personalize their campaigns by providing predictions such as customer lifetime value.

The Sales Order Agent in Dynamics 365 Business Central reduces manual workload by automating sales order processes. The process includes the following steps: 1- Customer request: The customer sends an email containing a sales quote request. 2- Agent action: The agent processes the email, reviews the request, and finds the customer and the requested items. 3- Quote creation: The agent verifies product stock availability, creates the sales quote, and prepares an email response. 4- User review: The agent obtains the end-user's approval before sending the quote to the customer. 5- Customer approval: The customer reviews the quote and places an order request. 6- Order conversion: The agent converts the quote into an order and sends a confirmation email to the customer. This process eliminates manual order-taking tasks, enabling businesses to achieve faster value and allowing sales representatives to focus on more strategic tasks. 1- Müşteri talebi: Müşteri bir satış teklifi talebi içeren bir e-posta gönderir. 2- Ajan eylemi: Ajan e-postayı işler, talebi inceler ve müşteriyi ve istenen öğeleri bulur. 3- Teklif oluşturma: Ürün stok durumunu doğrular, satış teklifini oluşturur ve bir e-posta yanıtı hazırlar. 4- Kullanıcı incelemesi: Ajan, teklifi müşteriye göndermeden önce son kullanıcının onayını alır. 5- Müşteri onayı: Müşteri teklifi inceler ve bir sipariş talebinde bulunur. 6- Sipariş dönüştürme: Ajan teklifi siparişe dönüştürür ve müşteriye bir onay e-postası gönderir. Bu süreç, manuel sipariş alma görevlerini ortadan kaldırarak işletmelerin daha hızlı değer elde etmesini ve satış temsilcilerinin daha stratejik işlere odaklanmasını sağlar.

Microsoft embraces six principles of responsibility that guide the development and use of AI-powered tools. These principles aim to meet high ethical and responsibility standards: 1- Fairness: Ensuring that artificial intelligence systems produce unbiased and non-discriminatory results. 2- Reliability and safety: Ensuring that artificial intelligence systems operate reliably and are safe for users. 3- Privacy and Security: Protecting the privacy and security of user data. 4- Inclusiveness: Ensuring that artificial intelligence systems are accessible to a wide range of users and respond to different needs. 5- Transparency: Ensuring that artificial intelligence decisions and operating principles are understandable. 6- Accountability: Ensuring that artificial intelligence systems can be held accountable for the results they produce. These principles aim to increase companies' trust in technology by ensuring that artificial intelligence is used in an ethical and responsible manner. 1- Adalet (Fairness): Yapay zeka sistemlerinin tarafsız ve ayrımcılık yapmayan sonuçlar üretmesini sağlamak. 2- Güvenilirlik ve Güvenlik (Reliability and safety): Yapay zeka sistemlerinin güvenilir bir şekilde çalışmasını ve kullanıcılar için güvenli olmasını sağlamak. 3- Gizlilik ve Güvenlik (Privacy and security): Kullanıcı verilerinin gizliliğini ve güvenliğini korumak. 4- Kapsayıcılık (Inclusiveness): Yapay zeka sistemlerinin geniş bir kullanıcı yelpazesine erişilebilir olmasını ve farklı ihtiyaçlara cevap vermesini sağlamak. 5- Şeffaflık (Transparency): Yapay zeka kararlarının ve çalışma prensiplerinin anlaşılabilir olmasını sağlamak. 6- Sorumluluk (Accountability): Yapay zeka sistemlerinin neden olduğu sonuçlardan sorumlu tutulabilirlik sağlamak. Bu ilkeler, yapay zekanın etik ve sorumlu bir şekilde kullanılmasını sağlayarak, şirketlerin teknolojiye olan güvenini artırmayı amaçlar.