Solutions
Sectors
Studios
Insights
Our Partners
.svg)
Artificial Intelligence has officially shifted from experimental innovation to strategic necessity. But as the technology matures, so do the stakes and the questions. What differentiates organizations that generate real business value with AI from those that simply dabble in it? At Launch Consulting, we've found the answer lies in mindset.
Across industries, from healthcare and government to retail, finance, and enterprise tech, we've found that the most successful AI adopters embrace three core principles:
1. A data-first foundation
2. A disciplined approach
3. A sense of urgency
These aren't just abstract ideas. They're the practiced behaviors that consistently drive meaningful, measurable outcomes. Each mindset addresses a critical challenge - and together, they chart a clear path from experimentation to enterprise-scale transformation.
AI relies on clean, governed, timely, and context-rich data. This distinction distinguishes organizations that are merely testing AI from those that are achieving real, repeatable impact.
Consider one Fortune 50 healthcare company that struggled with inaccurate Third-Party Liability (TPL) data. They were paying over $10 per record for third-party feeds plagued with errors, leading to overpayments, provider friction, and member dissatisfaction.
That's where Launch came in. We transformed their data ingestion and curation processes by designing and implementing a modern cloud-based solution, complete with an AI-powered business rules engine. The results? A 90% reduction in incorrect TPL decisions and an 80% cut in manual labor.
When data is treated as a strategic asset, AI becomes more than a capability - it becomes a competitive edge.
The AI hype cycle is real. Generative AI headlines have created excitement and confusion. We often see companies rushing from concept to deployment without a plan. The result? Pilots that stall. Teams stretched thin. Tech investments without clear returns.
We take a different approach. At Launch, we help clients lay the right foundation, starting with business goals and building up from there. That includes selecting relevant use cases, ensuring data readiness, developing governance frameworks, and empowering cross-functional teams.
While many stories focus on flashy tech, real success comes from solving real problems with practical AI applications. One example is a $500M engineering and construction company looking to sharpen its competitive edge. Facing inefficient bid estimation processes and the constant pressure to move faster without sacrificing quality, they partnered with Launch to develop an AI-powered solution.
By embedding intelligence directly into their bidding process, we helped the company make smarter, data-driven decisions faster. The result? More accurate project timelines, improved resource planning, and better business outcomes. This wasn't about chasing the latest tech trend but building disciplined, AI-enabled systems that directly support business strategy.
AI is advancing faster than most businesses are ready for. Too many organizations wait for the "perfect" moment to act. But those seeing results today are willing to move forward with intention: start small, learn quickly, and scale smart.
Nike's strategy is a great example of this urgency inaction. As Linda Cereda, Global Head of Marketing Data at Nike explains, their marketing teams don't wait for perfection. They invest in testing, refine through feedback, and act decisively to keep their edge. They understand that in the world of AI, agility beats hesitation every time.
AI isn't a plug-and-play solution. Whether starting with foundational data work, exploring applied AI solutions, or scaling enterprise-wide initiatives, your approach should be rooted in partnership, clarity, and accountability.
You don't have to predict the future to deliver real value with AI. You just have to prepare for it.
Let’s Build the Future - Together
Wherever you are in your AI journey, Launch is ready to meet you there.
Ready to take the next step in your AI journey? Let’s talk.
%402x.svg){kind=icon}
Artificial Intelligence has officially shifted from experimental innovation to strategic necessity. But as the technology matures, so do the stakes and the questions. What differentiates organizations that generate real business value with AI from those that simply dabble in it? At Launch Consulting, we've found the answer lies in mindset.
Across industries, from healthcare and government to retail, finance, and enterprise tech, we've found that the most successful AI adopters embrace three core principles:
1. A data-first foundation
2. A disciplined approach
3. A sense of urgency
These aren't just abstract ideas. They're the practiced behaviors that consistently drive meaningful, measurable outcomes. Each mindset addresses a critical challenge - and together, they chart a clear path from experimentation to enterprise-scale transformation.
AI relies on clean, governed, timely, and context-rich data. This distinction distinguishes organizations that are merely testing AI from those that are achieving real, repeatable impact.
Consider one Fortune 50 healthcare company that struggled with inaccurate Third-Party Liability (TPL) data. They were paying over $10 per record for third-party feeds plagued with errors, leading to overpayments, provider friction, and member dissatisfaction.
That's where Launch came in. We transformed their data ingestion and curation processes by designing and implementing a modern cloud-based solution, complete with an AI-powered business rules engine. The results? A 90% reduction in incorrect TPL decisions and an 80% cut in manual labor.
When data is treated as a strategic asset, AI becomes more than a capability - it becomes a competitive edge.
The AI hype cycle is real. Generative AI headlines have created excitement and confusion. We often see companies rushing from concept to deployment without a plan. The result? Pilots that stall. Teams stretched thin. Tech investments without clear returns.
We take a different approach. At Launch, we help clients lay the right foundation, starting with business goals and building up from there. That includes selecting relevant use cases, ensuring data readiness, developing governance frameworks, and empowering cross-functional teams.
While many stories focus on flashy tech, real success comes from solving real problems with practical AI applications. One example is a $500M engineering and construction company looking to sharpen its competitive edge. Facing inefficient bid estimation processes and the constant pressure to move faster without sacrificing quality, they partnered with Launch to develop an AI-powered solution.
By embedding intelligence directly into their bidding process, we helped the company make smarter, data-driven decisions faster. The result? More accurate project timelines, improved resource planning, and better business outcomes. This wasn't about chasing the latest tech trend but building disciplined, AI-enabled systems that directly support business strategy.
AI is advancing faster than most businesses are ready for. Too many organizations wait for the "perfect" moment to act. But those seeing results today are willing to move forward with intention: start small, learn quickly, and scale smart.
Nike's strategy is a great example of this urgency inaction. As Linda Cereda, Global Head of Marketing Data at Nike explains, their marketing teams don't wait for perfection. They invest in testing, refine through feedback, and act decisively to keep their edge. They understand that in the world of AI, agility beats hesitation every time.
AI isn't a plug-and-play solution. Whether starting with foundational data work, exploring applied AI solutions, or scaling enterprise-wide initiatives, your approach should be rooted in partnership, clarity, and accountability.
You don't have to predict the future to deliver real value with AI. You just have to prepare for it.
Let’s Build the Future - Together
Wherever you are in your AI journey, Launch is ready to meet you there.
Ready to take the next step in your AI journey? Let’s talk.
