AI transformation
Set AI in motion with AWS and Slalom
From POCs and pilots to real value and scale
If you’re still using AI in isolated use cases, you’re only capturing a fraction of its value. Real impact comes from embedding AI across connected data, workflows, systems, and teams.
Together, Slalom and Amazon Web Services (AWS) help you build the cloud, data, and operating foundations, and they help you prove value quickly, scale AI confidently, and enable human-agent collaboration. The result is AI that’s part of everyday operations, driving measurable outcomes and continuous improvement.
Slalom helps you navigate the AI transformation journey
Moving AI from ideas to measurable business outcomes
Successful AI starts with choosing the right opportunities. Join Slalom and AWS to learn how the AI Value Platform helps prioritize high-value use cases, while Forward Deployed Expertise accelerates delivery—turning AI experiments into scalable business capabilities that deliver measurable value.
Featured solution
Forward Deployed Expertise (FDE)
Unlock faster time to market, increased productivity, and new revenue opportunities through AI solutions built for real-world use. With our FDE teams embedded alongside your business and technology leaders, we help you identify, validate, and build AI-first solutions using AWS’s AI and cloud services as the foundation.
Our FDE offering delivers:
- A clear, accelerated path to production and value realization
- Improved alignment between business and IT
- More targeted AI spending, reducing waste by prioritizing initiatives with clear ROI and measurable outcomes
- A lasting internal capability so your teams can sustain and scale solutions
Explore AI success stories
Announcements
Slalom Signs Strategic Collaboration Agreement with AWS to Help Organizations Transform into AI-First Enterprises
Slalom Awarded 13 2025 AWS Partner of the Year Award Acknowledgements, Including Global GenAI Partner of the Year
Slalom joins AWS Generative AI Innovation Center Partner Innovation Alliance
Aligning strategy, technology, and people to deliver real AI impact
The AWS difference
Slalom and AWS help organizations move AI from experimentation into everyday operations—rapidly proving value, scaling AI capabilities, and driving measurable business outcomes.
Ready to make AI
ambitions reality?
The right strategy, architecture, and operating model provide the foundation for continuous evolution, so you can be ready for AI’s future.
Frequently asked questions
Focusing on business value, people, process, and technology is key to AI adoption. We partner with our clients to:
- Prioritize the highest-value use cases with measurable outcomes, so AI investments are tied to business objectives and ROI
- Prepare teams, establish governance, and redesign business processes so AI becomes part of how work gets done, not just another technology deployment
- Build a secure, scalable AI foundation to keep innovation moving and accelerate enterprise adoption
The AWS platform plays an important role by getting user-friendly AI into the hands of workers. With services like Amazon Bedrock and Amazon QuickSight, teams can quickly build secure generative AI applications using leading foundation models while embedding AI-powered analytics and natural language capabilities into apps and business workflows. This allows users of all technical skill levels to ask questions in plain language, uncover trends, and make faster, data-driven decisions, thereby driving adoption and employee satisfaction.
It starts with defining outcomes for the use cases being considered. Only those driving measurable outcomes should move into production.
The Slalom AI Value Platform is a fast-track way to evaluate potential AI projects based on their ability to deliver the desired benefits. This all-in-one workspace is designed to help organizations make sense of AI opportunities and focus investments where they’ll have the greatest impact.
Once an organization has narrowed down the list to the most promising projects, AWS provides the managed AI services and analytics capabilities that rapidly turn strategy into production-ready solutions. This helps businesses:
- Reduce the time to deliver AI use cases
- Scale securely with enterprise-grade governance
- Empower business users with AI-driven insights
- Continuously iterate and expand AI capabilities as new opportunities emerge
AWS provides an enterprise-grade foundation for generative AI through Amazon Bedrock. With secure, managed access to a broad set of foundation models, organizations can innovate quickly while maintaining control over model selection, access, data protection, and governance.
Because responsible AI requires guardrails, risk controls, monitoring, clear decision rights, and alignment to business outcomes, AWS provides the platform capabilities to operationalize those controls. Slalom then brings the framework, governance model, and change leadership needed to make AI adoption sustainable. This combination allows organizations to innovate faster while managing risk, building trust, and scaling AI with confidence.
The biggest challenge we see is clarity on business value. Many organizations launch pilots because AI is interesting, but they haven’t clearly defined the business outcome they’re trying to achieve, how success will be measured, or what ROI will justify scaling the solution. Without that foundation, even technically successful pilots often stall.
Another major challenge is organizational readiness. Scaling AI often requires updating business processes, governance, operating models, and workforce adoption. Having leaders who champion change is imperative.
At Slalom, we’ve found that successful AI transformation isn’t about choosing between business strategy and technology. It’s about getting the sequence right: define the value, prepare the organization, and then leverage AWS to scale with speed and confidence.
Once organizations achieve this alignment, the technology becomes an accelerator. AWS services like Amazon Bedrock, Amazon SageMaker, and Amazon QuickSight provide the secure, scalable foundation to move from proof of concept to enterprise production much faster.
Forward Deployed Expertise is Slalom’s model for embedding a cross-functional team of industry, product, experience design, and technical experts directly within client organizations to drive an AI-first exploration and solutioning process.
Rather than handing off recommendations or building solutions in isolation, these experts work where decisions are made—bringing business context, technical know-how, and rapid iteration together to move promising ideas into production faster.
Combining embedded delivery teams with AWS-native capabilities such as Amazon Bedrock, Amazon SageMaker, and modern cloud architectures, we help organizations:
- Validate high-value AI use cases in weeks instead of months
- Build production-ready AI applications and agentic workflows using AWS services
- Create reusable architectures and delivery patterns that reduce the cost and effort of future AI initiatives
- Align business, engineering, and user experience teams so solutions solve real operational problems
- Transfer knowledge and establish new ways of working, so internal teams can continue scaling AI long after the initial engagement
The result is faster time to value, lower delivery risk, and AI that becomes part of how the business operates—not another pilot that never reaches production.
For AI transformation to be successful, there has to be alignment between business strategy, organizational change, and technology. Slalom helps identify where AI will create the greatest business value and then prepares our clients’ people and processes for change. Our deep industry expertise, delivery experience, and focus on adoption inform the creation of AI roadmaps that help organizations move beyond experimentation.
With strategy, governance, and change management in place, the AWS scalable AI platform can then accelerate execution. Services like Amazon Bedrock, Amazon SageMaker, and Amazon QuickSight enable organizations to build, deploy, and govern AI solutions at speed while taking advantage of leading foundation models and enterprise-grade security.
Slalom and AWS cover all the bases for every stage of the AI journey—from strategy and use case prioritization to production deployment and enterprise scale. The result is faster time to value, reduced implementation risk, and AI solutions that deliver measurable business impact rather than remaining isolated pilots.
We start by identifying where AI can create measurable value—whether that’s improving customer experiences, increasing operational efficiency, accelerating software development, or enabling new products and services. From there, Slalom helps organizations assess their data, technology, security, and organizational readiness to determine what’s needed to move from experimentation to production.
AWS provides the cloud infrastructure and AI services that support this journey, including Amazon Bedrock, Amazon SageMaker, analytics, data management, and security capabilities that help organizations build scalable, secure AI solutions. Together, those services create a flexible foundation that can evolve as AI technologies and business priorities change.
A successful enterprise AI strategy also defines governance, prioritizes high-value use cases, establishes an operating model, and prepares teams to adopt new ways of working. The goal is to build an operating capability that continuously delivers business value.
By combining AWS’s technology platform with Slalom’s strategy, delivery, and change expertise, organizations can move from isolated AI initiatives to a prioritized roadmap that accelerates value while reducing risk.