Frontier Transformation is Microsoft’s term for using AI to reimagine how your organization works end to end, not just to optimize a few tasks or run isolated pilots.

Instead of focusing on more experimentation, Frontier Transformation is about using generative and agentic AI to:

• Enrich employee experiences by offloading tedious work so people can focus on collaboration, creativity, and higher-value tasks.
• Reinvent customer engagement with faster, more personalized, and more consistent interactions across channels.
• Reshape business processes so workflows and operations are redesigned with AI at the core, not just incrementally improved.
• Bend the curve on innovation by giving every employee tools to experiment, iterate, and bring new ideas to market more quickly.

Organizations are moving this way because AI is now a core operating capability, not a side project. For example:

• PWC, with 364,000+ employees in 130+ countries, rolled out Microsoft 365 with Copilot and realized $25M in platform consolidation savings and $150M in time savings.
• NIQ now processes tens of thousands of products in hours instead of weeks by automating product coding with Microsoft Foundry.

For leaders, the key shift is moving from “Can AI work here?” to “How do we scale AI responsibly across the business to drive measurable outcomes?” Frontier Transformation provides that lens, grounded in intelligence and trust from day one.

Organizations are using Microsoft AI to improve both the employee experience and customer engagement in very concrete ways.

Enriching employee experiences

AI is taking on routine, time-consuming work so employees can focus on higher-impact activities. Common use cases include:

• Pulling together dispersed information for projects and presentations.
• Drafting meeting agendas, capturing minutes, and distributing follow-ups.
• Sorting and organizing client or vendor files and verifying details.

With tools like Microsoft 365 Copilot and Microsoft Teams, organizations are seeing:

• Double-digit productivity improvements in some scenarios.
• Up to 99% reduction in time spent searching for business-critical information.

PWC’s rollout of Microsoft 365 with Copilot across 136 countries returned significant time to employees, contributing to an estimated $150M in time savings.

Reinventing customer engagement

On the customer side, AI is helping teams respond faster and more personally across channels—web, chat, phone, email, and in-person. Examples include:

• Instant answers to common questions, reducing or eliminating wait times.
• Smart routing that connects customers to the right expert with relevant context.
• Natural language interactions that provide information, inspiration, pricing, and tailored recommendations.

Alaska Airlines, for instance, found that guests were spending 40+ hours planning trips and underusing its “Where We Fly” tool. By launching Alaska Inspires, a natural language search experience built with Azure OpenAI in Foundry Models, they helped customers discover destinations and book more efficiently, improving both planning time and user satisfaction.

In practice, many organizations start by:

• Automating routine internal tasks with Microsoft 365 Copilot.
• Building customer-facing copilots and chat experiences with Dynamics 365, Copilot Studio, and Azure AI.

From there, they expand into more complex workflows and cross-functional processes as they see value and build confidence.

Microsoft’s approach is to help you build AI on a foundation of intelligence plus trust, so you can scale confidently instead of running disconnected pilots.

Intelligence: Making AI business-aware

Enterprise intelligence already exists across your tools, systems, and workflows. Microsoft’s goal is to activate that intelligence consistently and safely for AI:

• Context connects AI to people, workflows, and real business activity so responses are relevant.
• Quality grounds AI in shared business meaning and trusted knowledge so outputs are accurate and actionable.
• Speed comes from reusable intelligence that compounds over time, avoiding constant reinvention.

Microsoft IQ operationalizes this by unifying work signals, business semantics, and governed knowledge into a shared intelligence layer that agents inherit by default. This keeps AI aligned with your business rules, permissions, and data sources.

Trust: Security and governance by design

Trust is treated as a built-in requirement, not an add-on. Enterprise trust means:

• Identity, access, policy enforcement, monitoring, and compliance are consistent across data, prompts, models, and actions.
• Security and governance are continuous, so risk is visible and manageable as AI usage grows.

Microsoft delivers this through an AI-first, end-to-end security platform where solutions like Microsoft Defender, Purview, Intune, Entra, and Sentinel operate as one system, sharing signals and intelligence. The platform processes 100 trillion security signals daily, strengthening protection as AI scales.

A unified platform to move faster with control

To help you scale AI across teams and use cases, Microsoft provides an integrated stack:

• Microsoft 365 Copilot for day-to-day productivity in the flow of work.
• Copilot Studio and GitHub Copilot to build and extend agents, using Microsoft IQ for context-aware behavior.
• Microsoft Fabric to unify data, analytics, semantics, and business logic.
• Microsoft Foundry and Microsoft Agent 365 as control planes to orchestrate, deploy, and govern agents at scale.
• Microsoft Azure and Microsoft Security as the cloud and security foundation.

Programs like the Microsoft Agent Factory and the Agent prepurchase plan add practical support: role-based tools, expert-led skilling at no additional cost, and a single pool of funds that can be used across Copilot Studio, GitHub Copilot, Foundry, and Fabric.

The outcome is an AI environment where:

• IT maintains control and governance.
• More builders across the business can safely participate.
• AI evolves from isolated experiments into a durable, enterprise-wide capability that compounds value over time.