AWS cloud transformation enables practical solutions to fundamental business challenges

Every business faces the same fundamental challenges when it comes to AI: staying compliant at scale; integrating new technologies without grinding to a halt; and moving from proof-of-concept to real-world value quickly. These are the friction points that slow innovation and limit what's possible.

AWS innovations are addressing these challenges head-on, making practical solutions available to teams ready to use them:

• Amazon Bedrock gives you the foundation for model choice and orchestration without model vendor lock-in. It also provides an extra layer of security through integration with AWS Identity and Access Management (IAM), so you can experiment safely, choose the right models for specific needs, and maintain enterprise-grade controls throughout.

• Bedrock Guardrails with automated reasoning transforms policy compliance from guesswork into measurable science. Your subject matter experts can author brand safety, PII protection, and regulatory policies that get automatically verified through formal, machine-checked processes. This is auditable, testable governance that scales.

• Model Context Protocol (MCP) servers solve the integration challenge that slows most organizations down. Instead of building custom connections between AI models and internal tools, MCP provides a standardized architectural pattern and communication protocol, cutting development time and ongoing maintenance.

• Agents SDK enables teams to build and deploy AI agents in just a few lines of code, dramatically shrinking the gap between testing an idea and putting it to work.

These tools address real problems. But having access to innovation isn't the same as being ready to use it effectively.

What cloud transformation looks like at scale

Credera's parent company, Omnicom, has spent years building the cloud foundation required to take full advantage of these capabilities, and the results speak for themselves.

In a keynote address at AWS Summit in LA, Omnicom Senior Vice President and Global Chief Information Officer Craig Cuyar laid out what enterprise-grade transformation looks like. Over nearly a decade, Omnicom moved from operating multiple data centers to a fully cloud-first strategy. The scope was significant:

• 75 petabytes of data migrated

• Over 90 petabytes now managed across a unified AWS infrastructure

• 75,000 employees across hundreds of agencies in 70+ countries all working on the same foundation

This wasn't a sprint. It was a deliberate, methodical build. As Cuyar emphasized: "Go slow to go fast." Building the right foundation takes time, but once it's in place, it enables rapid innovation at scale.

The outcomes prove the approach works:

• 90% cost reduction through strategic use of Amazon EC2 reserved and spot instances

• Omni platform, built on AWS data lakes, Amazon Redshift, RDS, and Aurora, processing nearly 400 billion daily events while integrating over 100 separate data sources

• Unified infrastructure that enables hyper-personalized messaging across omnichannel campaigns

But technology alone doesn't drive transformation. Omnicom is upskilling teams for AI-augmented development, re-engineering business processes for AI integration, and building infrastructure that's ready for what comes next. This isn't about replacing human creativity; it's about amplifying it.

The result is that trust at scale becomes achievable, compliance becomes testable and auditable, and time-to-value shrinks from months to weeks. Governance becomes a reusable asset across clients and verticals, and risk gets addressed before it becomes a problem.

The bottom line

What sets us apart is our commitment to building technology that enables rather than limits what's possible. Omnicom's partnership with AWS provides the security, reliability, and scale our teams need to focus on what they do best: creating work that moves people to action.

When you’re ready to see how enterprise-grade cloud infrastructure can transform your capabilities, let's talk about building your foundation for innovation. Schedule a call with our specialists to get started.

• AWS
• Amazon Web Service
• Artificial Intelligence
• business challenges
• AWS cloud solutions
• AWS Cloud Transformation