Design AI-powered business solutions

A logistics company wants to automate its returns-processing workflow. When a customer submits a return form, the system must validate the return against policy, look up the order in Dynamics 365, and either auto-approve or route to a human. The business wants a deterministic, well-defined sequence of steps that runs the same way every time it is triggered, with clear connectors to each system. As the solutions architect, which approach best fits this requirement?

A logistics company wants to give its warehouse supervisors a specialized assistant inside Microsoft 365 Copilot. The assistant must answer questions grounded strictly in a curated set of SharePoint document libraries containing safety procedures and equipment manuals, reuse the existing Microsoft 365 Copilot orchestrator and foundation model, and appear directly in the Microsoft 365 Copilot chat experience with no custom model hosting or separate infrastructure. Which approach best meets these requirements?

A professional services firm wants an AI agent that helps consultants find and summarize content from a specific document library holding their methodology templates and past proposals. The agent must be scoped only to that library, require no custom code, and be usable directly where consultants already collaborate on documents. As the solutions architect, which approach should you recommend?

A B2B software company uses Dynamics 365 Sales with Copilot. Sellers want Copilot to summarize and answer questions about opportunities using data that lives in an external third-party revenue-intelligence platform, not just the native CRM tables. The architect must recommend how to surface that external data inside the Copilot in Dynamics 365 Sales experience with the least custom code. What should the architect recommend?

A retail company is building a customer-support agent in Copilot Studio. The support team handles a fixed, well-defined set of about 12 request types (order status, returns, password reset, etc.), each requiring a specific structured workflow with strict compliance validation. Latency and predictability of routing are critical, and leadership wants deterministic, auditable behavior for how each request is classified and handled. Which natural language processing approach should the architect configure for intent handling?

A support organization uses Dynamics 365 Customer Service. Agents spend excessive time reading long case histories before responding. The architect wants to enable a Copilot capability that automatically produces a concise summary of the case timeline (emails, notes, and prior interactions) directly within the case form, using the organization's own case data. Which Copilot in Dynamics 365 Customer Service capability should the architect configure?

A B2B manufacturing company uses Salesforce as its CRM and Microsoft 365 for productivity. Sellers spend most of their day in Outlook and Teams and want AI assistance that summarizes email threads, drafts customer replies, and surfaces CRM opportunity data without leaving those apps. Leadership does not want to migrate off Salesforce. As the solutions architect, which approach should you recommend to deliver AI capabilities grounded in their existing CRM inside Outlook and Teams?

A telecom company runs its customer support on a third-party contact center platform (Genesys) but wants to add AI that can autonomously resolve common billing questions by grounding on Dynamics 365 Customer Service knowledge articles and case data. The support operations team wants to deploy this capability inside their existing Genesys voice and chat channels without replacing the platform. As the solutions architect, which approach best meets these requirements?

A logistics company uses Dynamics 365 Field Service. Managers report that new dispatchers frequently ask how to reschedule work orders and adjust resource bookings within the model-driven app. Leadership wants a low-effort, prebuilt capability that lets users type natural-language questions and receive step-by-step guidance that navigates them through the app's actual screens, without building a separate custom conversational agent. Which capability should the architect configure?

A manufacturing company runs Dynamics 365 Customer Service for warranty support and Dynamics 365 Sales for account management. Support agents spend excessive time drafting case summaries and searching internal knowledge articles to resolve incoming warranty cases. Sales representatives, separately, want AI help summarizing account opportunities directly inside their Outlook and Teams workflows. As the solutions architect, which prebuilt configuration best addresses BOTH needs with minimal custom development?

A retail company is building an agent in Copilot Studio to help store managers submit inventory transfer requests. The agent must gather the source store, destination store, item SKU, and quantity from the manager in natural conversation, then invoke a backend REST API that writes the transfer record to the ERP and returns a confirmation number. The architect wants the agent to reliably validate that all four values are captured before the API is called, and to surface the returned confirmation number back to the manager. Which design best meets these requirements?

A retail company is building a Copilot Studio agent to help store associates answer product policy questions. The authoritative content lives in a set of SharePoint document libraries that are updated weekly by the compliance team. The architect wants the agent to generate grounded answers that always reflect the latest published documents, with minimal ongoing maintenance and no data duplication. Which grounding approach should the architect choose?

A manufacturing company runs a 15-year-old on-premises ERP system that has no API, no database connector, and no supported integration layer. The finance team spends hours each day manually re-keying approved purchase order data from an approval email into the ERP's Windows desktop interface. As the solutions architect, you are asked to design an agent in Copilot Studio that can complete this data-entry task by driving the ERP's user interface exactly as a human would. Which agent capability should you design the solution around?

You are designing a customer-facing agent in Copilot Studio for a utility company. Business stakeholders report that when customers phrase questions in ways the agent does not anticipate, the agent responds with abrupt 'I did not understand' messages and ends the conversation, frustrating users. You must configure the agent so unrecognized inputs are handled gracefully—attempting to reason over connected knowledge sources before escalating to a live agent. Which configuration approach should you implement?

A retail company is building an agent in Copilot Studio to handle employee IT support. The agent must be able to reset passwords via a custom connector, look up ticket status through an HTTP action, and answer general policy questions from a SharePoint knowledge source. The architect wants the agent to dynamically decide which capability to invoke based on the user's natural-language request, without manually authoring trigger phrases for every path. Which configuration should the architect enable?

You are designing a Copilot Studio agent for a manufacturing client. The agent must query a proprietary, on-premises inventory management system that exposes a set of tools and structured data through a standardized server the vendor already maintains. The client wants to avoid building and maintaining custom connector schemas for each individual API call, and wants the agent to dynamically discover the available tools at runtime rather than hard-coding them. Which extensibility approach should you recommend?

A Business Solutions Architect is extending a Copilot Studio agent that must query a partner's proprietary logistics platform. The partner already exposes their platform capabilities through an MCP server that publishes a set of tools and resources, and the partner frequently adds new tools that they want the agent to pick up automatically without the architect re-importing anything. The architect wants the agent to consume these capabilities with the least ongoing maintenance. Which extensibility approach best fits these requirements?

A support operations team is building an agent in Copilot Studio to triage inbound IT tickets. The agent must interpret a free-text problem description, decide which of several diagnostic knowledge sources and connector actions to consult, chain multiple lookups together, and explain the sequence of steps it took before proposing a resolution. The team does not want to author explicit topic branches for every possible path. Which agent behavior configuration should the architect enable to meet this requirement?

You are designing a customer-support agent in Copilot Studio for a retail bank. Compliance requires that when customers ask about closing an account, the agent must follow an exact, auditable sequence of identity-verification and disclosure steps that cannot vary between conversations. For most other questions (product info, branch hours, general FAQs), the bank wants the agent to flexibly combine multiple knowledge sources and tools to answer naturally. Which design approach best satisfies both requirements?

A retail company is building a customer support agent in Copilot Studio. The support team logs unstructured feedback in free-form text and wants the agent to reliably route requests into one of eight predefined support categories (billing, returns, shipping, etc.). The categories are stable and rarely change, and the business wants deterministic, trainable classification of short user utterances rather than open-ended generative interpretation. Which natural language capability should the architect select for this routing requirement?