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AI transformation

Set AI in 
motion


Is AI stuck on the sidelines of your business?

AI succeeds when it’s built into how work actually runs, not alongside it. And that requires two things moving together: foundations built for continuous evolution and new operating models designed for human–agent collaboration.

Slalom builds both—meeting you where you are and moving you forward.




AI that keeps moving—and delivering

When AI runs through the business, the numbers follow. Organizations that build adaptable foundations and redesign work around AI see measurable results: faster decisions, scaled impact, and value that grows over time. 

Proven across teams, workflows, and operations
$8B+  
total customer value calculated 
500+  
 customer projects in 2025 
3x
average ROI reported by our customers 

Note: These results are based on past client engagements. Outcomes will vary based on implementation and context. 



Slalom helps you navigate the AI transformation journey


Subway Map

Solutions that move your AI vision forward

Our solutions
AI strategy

Set clear AI priorities tied to measurable outcomes—aligning leaders, investments, and use cases to where AI will actually change the business over time.

This solution can help your organization:

  • Turn AI ambition into a clear, actionable strategy
  • Prioritize the use cases most likely to drive measurable business impact
  • Align leadership around shared goals, governance, and investment decisions
  • Connect isolated AI efforts into a coordinated roadmap tied to operational outcomes

Turn AI Ambition into execution

Featured accelerator
AI Value Platform

An AI value assessment and roadmap that helps leaders evaluate readiness, prioritize high-impact use cases, and connect AI investments to measurable business value.

AI office

Establish ownership, governance, and operating models that define how AI decisions are made, measured, and managed across the business.

This solution can help your organization:

  • Establish clear ownership, accountability, and decision-making for AI initiatives
  • Strengthen governance to address growing risk, compliance, and security concerns
  • Reduce duplication and improve coordination across AI efforts and teams
  • Create repeatable governance patterns that help teams move faster without increasing risk

Turn AI Ambition into execution

Featured accelerator
AI Value Platform: Assess

Identify where your organization is ready for AI, where gaps are slowing progress, and what to prioritize next.

AI studio

Deploy embedded AI teams to design, validate, and refine AI in real workflows, connecting business priorities, engineering execution, and user experience from day one.

This solution can help your organization:

  • Embed AI specialists directly into business and engineering teams to accelerate delivery
  • Move high-priority use cases from experimentation into production-ready workflows faster
  • Validate business value early using real users, systems, and operational constraints
  • Create reusable delivery patterns that help AI scale beyond isolated pilots

Turn AI Ambition into execution

Featured accelerator
AI Value Platform: Enhance 

Analyze roles, tasks, and workflows to identify where AI can create the greatest operational impact. 

AI factory

Build reusable AI foundations—data, platforms, pipelines, and operational controls—that help AI run reliably across systems, teams, and use cases.

This solution can help your organization:

  • Reduce duplicate AI work through reusable platforms, patterns, and delivery frameworks
  • Standardize how AI is deployed, monitored, governed, and continuously improved
  • Simplify fragmented tools, models, and workflows across the enterprise AI ecosystem
  • Establish AI-ready data, AIOps, and operational foundations that support long-term evolution

Turn AI Ambition into execution

Featured accelerator
Agentic Workflow Accelerator

Quickly build and scale agentic AI workflows through a reusable framework to accelerate enterprise impact.

AI enablement

Redesign roles, workflows, and decision making for human–agent collaboration so teams can adopt new ways of working with clarity and confidence.

This solution can help your organization:

  • Increase adoption of AI tools already deployed across the business
  • Create more consistent usage and capabilities across teams
  • Help teams adopt AI in daily workflows with clearer practices, coaching, and role design
  • Turn isolated experimentation into scalable, day-to-day productivity gains  

Turn AI Ambition into execution

Featured accelerator
SHIFT AQ  

Measure leadership adaptability across five dimensions to identify where teams can better navigate AI-driven change.



Real results across industries


Our industries

Financial services

 


Healthcare & life sciences

  • Partnering with Hologic, we developed an AI-powered screening solution that advances cervical cancer prevention by improving early detection and expanding access to care.
  • We partnered with Sygnomics to build an AI-powered application that enables oncologists to predict cancer progression and personalize treatment through patient-specific data visualization.
  • We helped Takeda enable its workforce with AI, increasing proficiency by 91%, boosting chatbot readiness by 162%, and driving a 185% increase in usage in the first month after rollout.


Manufacturing & mobility



Public & social impact



Retail & consumer goods



Technology & software




Our experts

Kris Crichton 

Kris Crichton 

Director of AI Strategy and Transformation 

Will Bray

Will Bray 

Practice Lead, AI Value Strategy 

Kris Crichton 

Doria Frazier 

Americas Lead, Workforce Modernization and HR Transformation 

Kris Crichton 

Jillian Powers, PhD 

Senior Director, Responsible AI 

Kris Crichton 

Jayson Stangel 

Managing Director, Head of AI Systems & Platforms – Americas 

Kris Crichton 

Nicole Peterson 

Managing Director, Market Solutions


Delivering award-winning AI transformation with leading platforms




Frequently asked questions 

AI doesn't usually fail in early testing. It breaks down when it hits real workflows, where the data isn't connected, ownership isn't clear, and operating models weren't built for AI. These common enterprise AI challenges often slow AI adoption and limit impact.

Making AI work at scale requires a connected system across strategy, technology, and how work gets done. Strong AI solutions combine clear priorities, scalable foundations, and workflows designed for human–agent collaboration so results can extend across the business.

Start with the business problem, not the technology. A strong AI strategy focuses on where decisions are slow, processes are manual, or better data could improve outcomes. From there, organizations can prioritize use cases, align leaders, and begin building toward scalable AI solutions.

AI governance defines how AI is managed across the business, including ownership, risk, and decision-making. As AI adoption grows, governance helps organizations scale responsibly, supporting responsible AI practices without slowing progress.

Even organizations with platforms and data in place often find each AI initiative feels like it’s starting over. Without shared operating models and a repeatable path to production, use cases stay isolated. The goal is to keep what’s working and connect it, so AI scales across the business instead of case by case.

Moving from pilots to production requires embedding AI into real workflows, not just testing isolated use cases. Approaches like embedded, cross-functional delivery teams help organizations rapidly build, validate, and scale solutions as part of day-to-day work.

Deploying AI is one thing. Running it is another. AI agents and systems need ongoing monitoring, optimization, and maintenance as models change and business needs shift. Organizations that plan for this from the start protect performance—and get more value from their AI investments over time.

Responsible AI means AI systems are secure, transparent, and monitored for risk, bias, and performance in real time. It’s an ongoing part of AI governance, ensuring AI can scale while maintaining trust and compliance.

You should be able to measure where AI is improving outcomes and where it’s not. Clear metrics and visibility into performance are essential for understanding AI ROI and making confident investment decisions.


Ready to get AI moving 
through your business?

Build the foundations and operating models for human–agent collaboration.


Let’s solve together.