Managed AI Services
Turning AI Complexity Into Business Clarity
AI is a powerful tool for accelerating your organizational goals, but it also hits massive challenges with integration with existing systems, underlying data quality, security, cost management, and even user adoption. Navigating this complexity is where Thrive excels.
We take a consultative approach to AI. The success of your AI project hinges on having a clear, impactful use case and a technology stack that supports both your business objectives and your culture.
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Download the ReportWhy Data Strategy Comes Before AI
The most important part of your AI project is the knowledge, workflows, and culture that together make your organization unique. In a word: data. Data strategy has to come before AI implementation – understanding the architecture, security, personas, access, lifecycle governance of all of your different sources of data and how that data will be used.
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Are you ready for AI today? Our AI experts can help walk you through your priorities, culture, and goals, and figure out your AI use cases and roadmap .
Thrive’s Data Assessment and Advisory Services
Thrive data assessments cover two critical areas: data quality and data architecture.
Data quality means that the data is trustworthy. This has several different facets, including accuracy, completeness, and recency. Specifically for AI uses, data also needs to be relevant to the intended audience or output and it needs to have a consistent structure.
That leads into the second critical factor for data, the information architecture. Architecture looks at how data is stored and in what applications or databases, governance around the data, file and content formats, and access and confidentiality considerations.
Thrive’s advisory services can make key recommendations on data strategy, including:
- Identifying key technologies for integration
- Recommending format and type changes
- Data security
- Role and user access
High Impact, Clear Results
With AI, it is critical that you do the right thing, not just something. While use cases will be specific and unique, there are general guidelines that can help to identify what will be an effective project for AI:
- Is the overall process understood from end to end?
- Is this process routine? Is it repeatable?
- What are the underlying data sources?
- Will automating or augmenting the workflow result in a clear benefit?
- Can the impact be measured?
- Can the impact be intuitively understood?
- Would integrating AI into the process fit with the culture and attitudes of the affected teams?
Process Automation
AI is the next level for automation, providing natural language processing and prompt engineering that can make it simpler for users to define and manage tasks.
- Take over time-intensive, repetitive tasks
- Parse and analyze large datasets for valuable insights
- Return formatted and consistent results
Process automation can be developed in multiple layers, where incremental improvements can occur throughout your organization and result in significant gains. Process automation does more than simply copy and replace existing workflows; it can modify those workflows so that low-level processing is done by the AI while your teams are able to focus on high-value, non-replicable work.
While the goals for process automation are broadly around productivity gains, these can be measured in different ways, like time to complete tasks, higher individual throughput, cost reduction, or resource optimization.
Accelerated Creativity
GenAI has the potential for more creativity than synthesizing sales emails. GenAI can be used to brainstorm ideas, to validate uniqueness, and to research niche topics. AI cannot substitute for intuition-fueled creativity and brand voice, but it can be used to help bring clarity in the haze of the planning and design. AI is a way to speed-run the creative process, either for a single contributor or a whole team.
- Brainstorming
- Storyboarding
- Research
- A/B testing
- Persona definitions
Immediate Knowledge Resources
A lot of questions are asked repeatedly. You can free up support or internal resources by digging information out of case notes and internal documents and creating high-quality, accessible FAQs, chatbots, or knowledgebases.
Launching New Ideas Together
“Value creation comes together in many different ways. There is no one universal solution. The key to success is finding your unique goal, what is most strategic and valuable to your business, and then reverse engineering an approach that can deliver those outcomes, with the right technology that aligns with your culture.”
JR Dawkins
Director of AI Services, Thrive
Experience Combined with Technology
The complexity of AI solutions isn’t the technology itself – it is identifying and implementing the right use cases. Thrive knows how to help you explore AI technologies because we use multiple different AI technologies within our own processes, from embedded AI services to standalone models.
Thrive helps you avoid common deployment pitfalls and see real value through a simple, consultative process to design your AI projects.
Thrive’s 4-Phase Approach
- Phase 1: Start with data and use cases.
- Phase 2: Define a strategy aligned with business objectives.
- Phase 3: Deploy the technology in a way that effectively integrates AI into your processes and tech stack.
- Phase 4: Measure results and recalibrate.
Are You Wondering How to Get Started With Your AI Strategy?
Contact Thrive today and learn how we can deliver help you design unique and innovative AI use cases that will boost your productivity and creativity, built on a platform that delivers security, quality, and performance.