As COVID-19 abates around the world, governments are cautiously reopening sectors of economies while rigorously monitoring public health and safety. It’s likely that economies will reopen by geography and industry in a rolling fashion based on state and local guidance. Companies will need a plan for responding to policy changes and new environments as they resume operations.
Business in the post-pandemic world will likely be very different than it was just a few months ago. Ramping back up can be as challenging as managing an abrupt downturn. Companies will need to implement structured yet flexible plans that incorporate key shifts in the operating model, identify resource needs and establish ownership and accountability.
To help companies transition into new and rapidly changing environments, A&M has defined a set of key actions that leaders should consider as they ‘Reset’ and prepare ‘Recovery’ plans to thrive in the ‘new normal.’
Click here to read our full guideline document.
Lights, Camera, AI: What Consumers Reveal About How AI Is Reshaping Media & Entertainment
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How are consumers responding to AI across media and entertainment? Explore key insights from Alvarez & Marsal’s Media & Entertainment research and access the full report.
Making Agentic AI Work: Technology Foundations, Operating Model Implications, and Evaluation Criteria
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A&M’s Digital & Technology Services team explores how organizations can evaluate frameworks, platforms, domain-specific solutions, and hybrid models for agentic AI, and what those choices mean for governance, scalability, and long-term value.
Asymmetric Competition in the US Broadband Market
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The US residential broadband market is in a state of dynamic change, shaped by intensifying competition and a paradigm shift in how value is created and captured.
The Agent-First Marketing Function
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AI agents are no longer a future concept in marketing. They are becoming a practical execution layer for organizations seeking to move faster and operate more intelligently. This insight examines why AI agents are gaining momentum, where they are already delivering measurable outcomes, and what leaders need in place to scale responsibly.
