The buzz around artificial intelligence is everywhere, but for many organizations, the real question is simple: How can we use it to get real results? Instead of focusing on the hype, a growing number of companies are leveraging AI to solve difficult problems, cut costs, and make a tangible impact. Artificial intelligence (AI) isn’t a trend—it’s transforming how organizations operate, compete, and innovate, and at SADA, we’ve been at the forefront of bringing these technologies to life for customers across industries. From generative AI that enhances creativity to machine learning (ML) models that drive efficiency, the AI use cases featured below showcase how our customers are leading the charge, proving what’s possible when you embrace AI as a strategic tool to solve real business challenges.
Financial services: faster, smarter, and more secure
The financial services industry operates with a dual mandate: relentless innovation and ironclad security. AI is proving to be the key to balancing these competing priorities, allowing companies to streamline operations without compromising on trust.
- Optimizing operations and empowering teams: The challenge at Equifax was to explore generative AI to boost employee productivity while maintaining strict enterprise security. A pilot program with Gemini AI for over 1,500 employees at Equifax resulted in a 97% license retention rate. More significantly, 90% of employees reported an improvement in both the quality and quantity of their work, saving an average of one hour per day.
- Gemini-enabled workflow transformation: Pinnacol Assurance was hampered by outdated legacy systems that hindered collaboration and response times. By migrating to Google Workspace and implementing Gemini AI, the company saw 96% of its employees save time, with 90% employee satisfaction. The numbers underscore a new kind of productivity that’s not just about speed, but also about improving the overall work experience.
- Predicting donors and advocates: DonorBureau was spending too much time and money on machine learning processes. SADA helped them migrate to BigQuery ML, which resulted in a 50% reduction in processing time and a 10X reduction in costs, adding up to $100,000 in annual savings.
Healthcare and life sciences: improving care and workflows
In healthcare, the pressure is on to enhance patient care while navigating complex regulations and administrative burdens. AI offers a path to greater efficiency, allowing professionals to focus on the human-centered aspects of their jobs.
- Securing patient data: In their journey to an AI-empowered workplace, apree health faced the complexity of stringent healthcare regulations like HIPAA. SADA guided them through their formation as two companies merged their disparate tech stacks into a single organization and rolled out Gemini AI as part of their Google Workspace deployment. With security deeply embedded in Gemini for Google Workspace, apree doctors have been enabled to securely use GenAI to organize patient notes, reframe internal messages, and refine patient-facing communications.
- Healthcare worker scheduling with GenAI: The challenge that confronted GoEasyCare was delivering a solution that would empower healthcare institutions to schedule workers across numerous shifts, multiple sites, and follow union contract rules. SADA delivered a two-week pilot with Vertex AI to enable plain-English configuration of scheduling rules and created a GenAI baseline for fully autonomous multi-location scheduling. The Vertex AI pilot was so successful that it immediately went into production for complex, rules-driven scheduling, minimizing GoEasyCare’s deployment and maintenance effort and empowering users to self-configure scheduling logic without technical assistance.
Media and entertainment: scaling creativity for artists and audiences
The media and entertainment sector is a highly competitive space where speed and personalization are paramount. AI provides tools that automate creative and logistical tasks, freeing up human talent to focus on innovation and audience engagement.
- Precision advertising with AI: As a leader in localized advertising, Madhive needed to deliver real-time targeted ads at a lower cost for their clients. To meet the challenge, SADA collaborated with Madhive to implement TPU-backed AI models for behavioral targeting and enable real-time audience segmentation and insights. As a result, Madive has achieved their goal of cost-efficient campaigns with instant audience feedback loops.
- AI-driven video thumbnail automation: In video production, The Sherlock Company blends the best of human creativity and advanced technology. To move to the next level, they needed to scale creative content production efficiently. SADA proposed building a Vertex AI-powered pipeline using Gemini LLM for scene analysis and Vision AI for frame filtering. SADA also deployed a dynamic client-facing UI for AI-assisted creative edits. Incredibly, Sherlock’s production time decreased from one day to 10 minutes. Even more importantly, they’ve established scalable content generation with unlimited variations at minimal added cost and gained deep internal expertise in AI to empower future innovation.
- Creative acceleration with Gemini: As an award-winning Hollywood production company SMUGGLER has always had a creative edge. In the new media landscape, their challenge was to streamline creative workflows without limiting innovation. When GenAI went mainstream, they called in SADA to advise them on deploying Gemini AI across Google Workspace and provide input on automating reporting and content preparation tasks. As an early adopter, SMUGGLER has benefited from increased staff creativity and collaboration, which in turn reduced project turnaround time.
Public sector: leveraging AI for the greater good
The modern sports fan wants more than just a ticket or a TV broadcast. They want a deeper connection to their favorite teams and players. AI is changing the game by allowing franchises to create personalized engagement at a massive scale, whether it’s at the stadium or on a fan’s phone. This isn’t about replacing human interaction; it’s about using technology to make every touchpoint feel more unique and valuable.
- Personalized fan experiences: For sports teams at all levels, fans cheer on their heroes, win or lose. One particularly successful professional sports franchise wanted to up the ante for their followers by creating a hyper-personalized engagement. They leveraged generative AI for personalized fan content and recommendations and integrated AI tools with fan interaction platforms. As a result, fan satisfaction and engagement have been enhanced.
Technology: AI and ML driving lifestyle improvements
In the tech industry, a constant focus on efficiency and scalability is a baseline requirement. AI and machine learning have become critical for optimizing the most complex operations and driving continuous, compounding improvements.
- Reverse logistics optimization: With world climate change accelerating, the race is on to mitigate the damage. Optoro is doing their part as they seek to meet the challenge to reduce waste and costs in product returns processing. SADA aided the effort by integrating their AI platform into Google Cloud to optimize returns routing and resale, which saves 80-120 hours of manual effort weekly. Since moving to the Google Cloud platform, Optoro has enabled their customers to keep 3.8 million pounds of waste out of landfills and cut related carbon emissions by 60%.
- Consumer prediction at scale: In an era of increasing consumer options, B2C companies need to have customer predictability. Fortunately, Faraday can deliver an AI engine at scale for this purpose. To keep pace, they wanted to accelerate their rate of ML experimentation and delivery. SADA was engaged to help Faraday rearchitect their ML workloads with GKE and TPU acceleration. With their upgraded ML infrastructure, the company has seen a 100X increase in throughput and 10X faster experimentation cycles.
Telecommunications: providing clearer customer interactions
The telecommunications industry handles a staggering volume of customer interactions. AI is a potent tool for improving responsiveness and service quality.
- AI-powered call handling: When calling a Public Safety Answering Point (PSAP) like a 911 center, getting through is paramount. However, these centers are often overwhelmed with non-emergency calls, which can slow response times for true emergencies. Viiz Communications, a provider of contact center solutions for PSAPs and other clients, sought a way to improve response efficiency by distinguishing between non-emergency and emergency calls. By deploying Google Cloud Contact Center as a Service (e.g., CCAI) to automate call routing and intent recognition, SADA helped Viiz reduce non-emergency call handling time by 60%. More importantly, the Viiz AI-powered 911 call handling system can discern non-emergency and emergency calls with 98.8% intent recognition accuracy.
Ready to bring AI to your organization?
As these examples show, SADA’s expertise isn’t just about deploying technology—it’s about driving measurable results. Across industries, SADA’s AI and ML engagements have delivered:
- Up to 100X throughput gains in ML workflows
- 50%+ time savings in enterprise productivity tasks
- Up to 97% adoption and retention of new AI tools
No matter the industry, we’ve proven that AI can accelerate growth, cut costs, and unlock entirely new capabilities.
Join SADA Ground School to learn how to achieve similar results for your business
To learn more about putting AI to work, join SADA Ground School and gain hands-on, practical training to:
- Identify AI opportunities in your organization
- Learn how to deploy GenAI and ML solutions securely
- See proven frameworks and success stories
Sign up for SADA Ground School below and start building your AI advantage today.
