Microsoft in Business Team articles
Microsoft in Business Team
How insurance and advisory leaders are using AI to support better decisions
Across insurance, risk, and advisory services, the moments when decisions are made carry real weight. These are environments defined by complexity, regulation, and trust—where clients rely on expert guidance to navigate uncertainty in critical, sometimes life-changing, scenarios. As AI becomes more embedded in everyday work, leaders across these industries are taking a measured approach.
How Grant Thornton is building an AI‑powered professional services firm
Across professional services, artificial intelligence is increasingly influencing how work is performed, how services are delivered, and how firms think about long‑term differentiation. For leaders in audit, tax, and advisory services, expectations are evolving. Clients are looking for greater efficiency, more consistent insight, and deeper expertise—while continuing to expect strong governance, security, and professional judgment.
When AI becomes an accelerant, not an experiment
Artificial intelligence is no longer a speculative investment for business leaders, it’s an operational one. For middle‑market firms, that reality is even sharper. They’re expected to move with enterprise-level speed and sophistication while maintaining disciplined, results-driven investment. In that environment, there’s little room for experimentation that doesn’t create measurable business value.
AI as a platform shift, not another experiment
Artificial intelligence is no longer a speculative bet for global professional services firms—it’s a structural shift in how expertise is created, decisions are made, and value is delivered to clients.
Why AI is an operating model shift—Not a technology upgrade
Artificial intelligence isn’t arriving gently in financial services. It’s colliding with an industry defined by scale, trust, and real‑time decision‑making, where speed, security, and reliability are non‑negotiable. For Fiserv, that reality is existential. The company quietly powers much of the world’s financial infrastructure, touching virtually every U.S.
When AI delivers real value, not just potential
Artificial intelligence has reached an inflection point. The conversation is no longer about what AI could do—but whether it’s delivering real outcomes inside organizations today. For many leaders, that distinction matters. Excitement alone doesn’t move a business forward.
Cyber risk is financial risk: Why CFO leadership matters more than ever
Cyber risk is now a financial risk Cybersecurity is no longer a background IT concern. Cyber risk directly affects enterprise value, regulatory exposure, operational continuity, and an organization’s ability to adopt AI responsibly. These are not abstract technology issues. They are financial realities that now sit squarely within the modern Chief Financial Officer (CFO) remit.
Delivering more cost-efficient healthcare with Epic on Azure
Electronic health records (EHR) are a vital tool for enhancing patient care. But safeguarding this confidential information with legacy, on-premises infrastructure increases costs. For healthcare leaders balancing tight budgets with resilience, expensive hardware refresh cycles and the growing risk of security breaches make inaction a risky, costly choice.
Frontline AI in action: How AI-powered tools are reshaping work where it matters most
Frontline Frontline workers are the foundation of every industry—from retail and healthcare to hospitality and field services. Yet many are still being asked to deliver more value, faster, with tools that weren’t built for the realities of frontline work.
Modern banking, reinvented: CIBC’s blueprint for successful AI transformation
Financial services organizations continue to navigate the same realities: rising regulatory demands, growing cyber risks, and operational processes that still depend heavily on manual effort. Yet 2026 marks a turning point.