Building an AI strategy? Don’t work alone. Here’s how a partnership helps you create an integrated, ethical AI roadmap that adds value and reduces risk.
You’ve got a vision for your AI strategy, from strategic foundation all the way to peak implementation.
But with an emerging and in-demand technology like AI, finding the expertise you need to bring it to life can be a challenge.
To expand their AI teams and toolkits, many L&D leaders turn to a partner like us who can help them survey, blueprint, and build their AI strategy from the ground up. We’ve worked with so many of your peers, and we’d love to survey the possibilities with you.
Here’s a high-level look at the process.
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Like any long-term relationship, your AI partnership should be built on shared values… and plenty of curiosity about your needs, learners, culture, and infrastructure.
We bring a unique blend of strategic consulting and innovative learning design, transforming complex AI principles and functionality into practical, relevant strategies that save time and add value.
SweetRush is committed to serving as a consultative partner, ensuring that your organization not only understands AI and implements but actively integrates it into a high-performing, human-centered workforce.
Here are just a few of the principles we bring to the table.
Employees want to leverage the many AI tools in the marketplace to boost their personal productivity and efficiency. But these quick wins may carry a steep long-term cost: Vulnerabilities in how they use, store, and maintain our data can put our people, clients, intellectual property, and reputation at serious risk.
Whether we deploy your AI solutions on-site or in the cloud, we honor your security and governance needs.
Ad hoc AI use puts everyone in jeopardy. Let’s level your organization up to peak AI holistically and strategically.
What do pizza, video games, and Thin Mints have in common?
They’re all great right out of the box.
You might have noticed that AI isn’t on the list, and for good reason: No AI tool is plug-and-play.
As learning researchers and scientists, we’re continually examining new ways to use AI to extend the reach of human expertise, perspective, and insight. We use exhaustive training, testing, and oversight policies and processes to ensure that AI outputs are accurate and free of bias. Our goal is to free you of these concerns so that you and your stakeholders can move to the next level of digital transformation.
In a recent client-exclusive roundtable, L&D leaders shared their No. 1 concern about AI: accuracy of outputs.
We get it! Accuracy is non-negotiable. As L&D leaders, we understand that even unintentional misinformation can erode trust and cause lasting damage. That’s why we commit to strategies that elevate the integrity of AI-generated content.
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SweetRush Lead Software Engineer Andrés Villalobos breaks down how the team applies these strategies in their work with Large Language Models (LLMs).
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We never rely blindly on AI-generated content. Though LLMs offer us powerful capabilities, they are not always dependable sources of factual information. Instead, we leverage their strengths to transform, synthesize, and organize data derived from trusted sources.
We use Retrieval-Augmented Generation (RAG) to ensure responses are grounded in real, high-quality information. RAG allows LLMs to retrieve context from a reliable knowledge base, enabling outputs that are not only relevant but verifiable. With models capable of processing large volumes of tokens, we reference full documents rather than vague summaries.
To reinforce accuracy, we fact-check all AI outputs using tools like Perplexity and GPTZero . This step guarantees that the insights generated by AI meet our high standards of accuracy, transparency, and ethical responsibility.
Beyond fact-checking and retrieval techniques, we also apply a range of safeguards that help reduce risk and improve reliability. These include encouraging reasoning, revising outputs before delivery, and validating information against trusted sources. Together, these measures create a more transparent and dependable AI experience.
Through layered verification and contextual grounding, we ensure that AI serves as a reliable asset, not a risk. Our commitment to rigorous quality control and ethical alignment empowers us to co-create learning solutions with you that are both cutting-edge and trustworthy.
In short: We don’t just advocate for responsible AI, we implement it, validate it, and uphold it at every stage.
We don’t sell hammers, so we don’t see every solution as a nail—or as our Lead Software Engineer Andrés Villalobos puts it, our AI strategy and solutions are “built for you, not sold to you.”
Working with a varied AI toolbox helps us recommend the most effective solutions for your organization’s needs and existing infrastructure. We’ll work with the systems, tools, and policies you have in place now…and evolve with you.
If that sounds complicated, don’t worry—we love a challenge! In fact, we’re known, in the words of one client-partner, for building leading-edge learning experiences that work “with, through, over, around, and under” existing technology ecosystems and infrastructures.
Value is a priority for you, your business partners, your leadership—and for us, too. We love to join L&D leaders like you in the ongoing challenge to create quality learning within ever-tightening budgets and timelines.
We’ve created secure tools to help us build value into every project plan so that we can maximize what matters most to you.
At the organizational level, we’re committed to helping you capture the value of strategic AI use at scale, avoid costly risks, and maximize your impact. And there’s no time like the present : A recent global survey shows that organizations that invested in genAI in 2023 are already seeing a return on their investments.
With nearly a quarter-century of experience in learning strategy that drives behavior change for world-class organizations, SweetRush brings a learning-first approach to every solution. We’re honored to be named No. 1 in AI expertise, immersive learning, experiential learning, simulation training, custom content, employee engagement training, and much more.
We’ve also been named No. 1 Staff Augmentation provider by both eLearning Industry and Training Industry for our extensive talent pool of subject matter experts (SMEs) in AI, immersive learning, live experiential learning (LEL), data analytics, certification programs. That means the same SMEs who make your projects shine are also available on a contract, temporary, or long-term basis to help you answer mission-critical questions about:
SweetRush Director of Talent Solutions Rodrigo Salazar-Kawer describes the difference in builder’s terms:
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“If you want to remodel your home, sometimes hiring an individual, such as an electrician or plumber, is the right thing to do. However, if you have a larger project that requires a team effort and lots of coordination, then you will likely want to hire a contractor and a crew.”
As L&D leaders, we have a unique ability to lead in this pivotal moment and ensure a humane, responsible, and practical approach to AI adoption.
Now is the time to spearhead a proactive and strategic approach to AI governance, implementation, and usage. Doing so can help us move toward a thriving AI ecosystem that blends machine intelligence with human judgment and oversight—and offers enterprise-wide training on AI guidelines, ethics, and role-based AI skills and tools.
Looking for a detailed blueprint for impactful, ethical AI implementation? Download The AI Blueprint: How L&D Leaders Can Reduce Risk, Add Value, and Unlock the Benefits of AI at Scale.)
If you’re feeling ready to survey your organizational landscape, we’d love to talk strategy and next steps! Reach out to share your vision for leveraging AI’s full potential and building a future led by innovation and human-AI collaboration.
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