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
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
Solutions that move your AI vision forward
- AI strategy
- AI office
- AI studio
- AI factory
- AI enablement
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
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
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
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
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
Featured accelerator
SHIFT AQ
Measure leadership adaptability across five dimensions to identify where teams can better navigate AI-driven change.
Real results across industries
- Financial services
- Healthcare & Life sciences
- Manufacturing & mobility
- Media & communications
- Public & social impact
- Retail & consumer goods
- Technology & software
Financial services
- We helped TP ICAP embed AI into everyday workflows, delivering over 5,000% ROI and turning AI into a core operating capability.
- We partnered with Jaja Finance to launch a GenAI assistant that reduced customer response times by 90% and scaled service across the business.
- Together with Google Cloud, we helped Sionic bring an AI-powered fraud detection platform to market, improving fraud detection reliability and enabling safer real-time payments.
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
- Together with GTÜ, we deployed an AI assistant that reduces support calls and accelerates vehicle inspections.
- Working with Kawasaki, we embedded AI into maintenance operations to enable predictive insights that improve rail safety and reduce unplanned repairs.
- We helped Clariant build a unified GenAI platform that boosts collaboration across global teams and accelerates innovation.
- We partnered with Genie to embed AI into customer service workflows, reducing call wait times by 50% and improving agent performance.
Media & communications
- We partnered with Keywords Studios to use data and AI to unlock new revenue opportunities, cut time to generate customer insights by 90%, and enhance player engagement globally.
- Working with the Chicago Cubs, we delivered real-time personalization and data-driven fan experiences at Wrigley Field.
- We helped Ströer use AI to power content discovery and deliver more relevant, engaging media experiences.
Public & social impact
- In partnership with Florida’s Division of Emergency Management, we modernized emergency response systems, reducing time to deliver aid by 90% and enabling faster, more coordinated disaster recovery.
- We helped UCLA Anderson use GenAI to personalize outreach, boosting engagement by 66% and increasing donations by 132%.
- We partnered with USC Price to put data and AI in the hands of policymakers to drive more equitable outcomes across Los Angeles communities.
Retail & consumer goods
- We helped PUMA launch an AI-powered creator platform that drove fan engagement at scale, generating 180,000 designs and over 1.7 million ratings in just 10 days.
- Working with United Airlines, we deployed GenAI tools that improved employee productivity and doubled customer service resolution speed.
- We partnered with Norwegian Cruise Line use GenAI to guide trip planning, increasing booking likelihood by 58% and driving higher-value conversions.
Technology & software
- We collaborated with Siemens AG to execute one of the world’s largest AI engineering initiatives, enabling 30,000 software developers with GitHub Copilot.
- Together with Avetta, we embedded AI into customer service operations, reducing handle time by 25% and increasing call deflection by 38% to improve agent efficiency at scale.
- We partnered with LogicMonitor to deploy AI-powered support and compliance solutions that deflect 38% of cases and save hundreds of hours of manual work.
- We helped Ocuco embed AI copilots into engineering workflows, increasing productivity with a 233% boost in time savings and accelerating software delivery.
Getting AI is the easy part. Making it work is hard.
Start where you are. Build what it takes to keep AI moving across the business.
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Delivering award-winning AI transformation with leading platforms
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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.