Select a product from a service page to learn what it helps solve, where it fits, and which consulting capability supports it. Features and licensing vary by product and configuration.
The problem: Email, calendars, and mailbox administration need consistent ownership and reliable operation.
Manage organizational messaging and scheduling, including mailbox access, mail flow, and supported retention and protection settings.
The problem: Unmanaged devices and inconsistent application settings create support and security gaps.
Manage supported devices and applications, apply configuration and compliance policies, and coordinate access requirements with identity and security teams.
The problem: People lose time switching tools, finding documents, and coordinating everyday work.
Bring email, meetings, documents, and collaboration into a managed workplace. Align Microsoft 365 apps, content ownership, and adoption with the way teams actually work.
The problem: Individual work files are trapped on devices or shared through uncontrolled copies.
Provide managed file storage, synchronization, and sharing for individual work, with collaboration and recovery capabilities that depend on configuration.
The problem: Shared documents and company knowledge are difficult to organize, maintain, and find.
Create managed sites, document libraries, and intranet experiences with appropriate permissions, ownership, and information structure.
The problem: Conversations, meetings, and project decisions are scattered across disconnected channels.
Organize chat, meetings, calling, and shared workspaces around teams and business processes. Establish workspace ownership and clear collaboration practices.
The problem: Employees struggle to find company resources, connect with colleagues, and access relevant learning.
Use Connections for employee resources, Engage for communities, Learning for development, and Insights for appropriately governed workplace analysis. Set content ownership and privacy requirements before rollout.
The problem: Employees need a consistent Windows workspace without depending entirely on a particular physical device.
Provide cloud-hosted personal computers, called Cloud PCs, that users can access from supported devices. Select the right edition and plan identity, provisioning, networking, and support.
The problem: Preparing new or reassigned Windows devices requires too much manual setup.
Streamline supported device provisioning and enrollment into organizational management. Plan prerequisites, deployment profiles, and exception handling.
The problem: Cloud teams struggle to identify exposed workloads, prioritize configuration risks, and maintain consistent protection across environments.
Combine cloud security posture management with workload protection across supported Azure, connected multicloud, and hybrid resources. Select plans, connect environments, and establish protection coverage around workload risk and operational requirements.
The problem: Disconnected security signals obscure attacks spanning email, endpoints, identities, and cloud applications.
Unify protection across email, endpoints, identities, and cloud applications. Extended detection and response (XDR) connects signals into incidents for coordinated investigation and response.
The problem: Organizations need to control who can access applications and information without granting unnecessary network access.
Entra combines identity and access capabilities. Plan identity lifecycle, sign-in risk, application access, and secure connectivity together rather than treating them as separate permission systems. Apply Zero Trust principles: verify explicitly, use least-privilege access, and assume breach when designing controls.
The problem: Sensitive information is difficult to discover, classify, protect, and govern across its lifecycle.
Connect data classification, information protection, data loss prevention, and supported compliance capabilities to business handling requirements. Licensing and workload support determine the available controls.
The problem: Security teams spend too much time assembling evidence, interpreting alerts, and translating complex investigations into clear decisions.
Use an AI assistant to summarize incidents, explore threats, and guide investigations using connected security context. Access depends on configured integrations and permissions; analysts remain responsible for validating findings and authorizing consequential actions.
The problem: Security teams need a coordinated view of threats across multiple systems and data sources.
Bring security information and event management together with investigation and response workflows. Prioritize relevant telemetry, tune detections, and govern automated actions.
The problem: A growing agent estate makes ownership, visibility, and oversight difficult to maintain.
Support agent inventory, lifecycle management, governance, and security oversight across supported integrations. Align licensing and configuration with the organization's control requirements.
The problem: Custom agent workflows need clear coordination between models, tools, and software steps.
Use a development framework to organize agents and workflows, including handoffs and tool integration. The application design must still enforce access, approvals, failure handling, and operational ownership.
The problem: Teams need assistants tailored to their own knowledge and business processes.
Build and manage agents with configured knowledge, tools, workflows, and supported model choices. Define permissions, approvals, evaluation, and support before allowing consequential actions.
The problem: Business records and processes are fragmented across sales, service, finance, and operations.
Connect business applications to the relevant process and data model. Choose the applications that fit the scope rather than assuming every Dynamics 365 capability is included in one deployment.
The problem: People spend too much time gathering work context, drafting content, and making sense of information.
Use an artificial intelligence assistant integrated with work applications and permission-aware organizational context. Copilot is a product experience, not a single model; useful results still depend on data quality, appropriate access, and review.
The problem: Important processes rely on spreadsheets, email, or forms that do not fit the task.
Build low-code business applications around approved data and workflows, with appropriate access, testing, and operational support. Match the application experience to the task rather than simply recreating a spreadsheet on screen.
The problem: Repeated manual steps and handoffs slow work and create avoidable errors.
Automate supported workflows and approvals across connected services. Design for permissions, exceptions, duplicate actions, and human review where required.
The problem: Applications need infrastructure and managed services that can be deployed and operated consistently.
Build cloud foundations for compute, networking, storage, data, and application services. Align architecture with security, recovery, cost, and operational responsibilities.
The problem: Important workloads need recoverable copies with defined protection and retention requirements.
Protect supported workloads through managed backup capabilities. Agree recovery objectives, secure backup access, and test restoration rather than assuming a successful backup proves recovery.
The problem: Cloud spending lacks clear allocation, visibility, and ownership.
Analyze supported usage and costs, set budgets, and identify optimization opportunities. Combine cost data with business context rather than treating lower spend as the only goal.
The problem: Systems need integration workflows with clear operational and authorization boundaries.
Coordinate supported service connections and workflow steps, including security automation. Control credentials, error handling, approvals, and changes to connected systems.
The problem: Migration decisions lack a reliable view of workloads, dependencies, and readiness.
Discover and assess supported workloads, inform migration planning, and coordinate a staged move. Validate cutover, recovery, and application requirements separately.
The problem: Teams cannot reliably explain application performance or identify operational issues early.
Collect and analyze supported metrics, logs, and traces, then connect alerts to actionable support procedures. Monitoring needs relevant signals and accountable owners.
The problem: Cloud resources drift away from agreed configuration and governance requirements.
Define and assess resource policies, enforce supported requirements, and manage exceptions. A policy assignment still needs ownership and remediation processes.
The problem: Applications need relational databases with a suitable balance of compatibility and managed operations.
Choose from Azure's Structured Query Language (SQL) database offerings for the workload. SQL is the language used to query and manage relational data; migration compatibility and service capabilities vary by offering.
The problem: Data ingestion, engineering, analytics, and reporting are disconnected.
Bring supported data workloads together in an integrated analytics environment. Establish shared definitions, quality, ownership, and access rather than simply moving data into a new platform.
The problem: Promising artificial intelligence prototypes lack the tooling needed for evaluation and operation.
Develop applications and agents with supported models, tools, evaluation, and monitoring. Select hosting and model options according to workload, security, and operational requirements.
The problem: Disconnected code, work tracking, and release processes make software changes difficult to coordinate, review, and trace.
Bring source control, collaboration, and delivery automation into a shared development platform. Connect proposed changes to reviews, checks, and release decisions so teams can understand what changed, why it changed, and who approved it.
The problem: Developers spend time understanding unfamiliar code, writing repetitive changes, and maintaining tests and documentation.
Use an AI coding assistant to explain code, suggest changes, and support development in supported editors, command-line tools, and GitHub workflows. Developers remain accountable for correctness, security, and the changes they accept.
The problem: Separate analytics projects create unnecessary data copies and inconsistent access practices.
Use Fabric's shared logical data lake to organize analytics data. Plan data ownership, access, and supported sharing patterns across workloads.
The problem: Decision-makers spend too much time reconciling reports and interpreting inconsistent metrics.
Build shared data models, reports, and dashboards. Business intelligence (BI) turns data into information for decisions; trusted definitions and appropriate access remain essential.