There are two heavy hitters dominating the artificial intelligence (AI) applications narrative: 1) tech giants churning out increasingly powerful AI models, and 2) established companies implementing AI into their existing products. A new player is turning heads in boardrooms across industries: AI orchestrators. 

These operators aren't trying to build the next ChatGPT or add an AI label to an existing platform. Instead, they’re combining a plethora of AI technologies to address specific business challenges—and all within one given workflow or system.  

Using broader AI orchestration, especially with newer agent toolsets such as LangChain and Microsoft’s updated Prompt Flow, effectively directs various AI technologies to tackle a diverse array of tasks, transforming manual processes that once took days into tasks that can be completed in minutes. When a better AI model hits the market, they can swap it in without missing a beat, ensuring that their clients always have access to cutting-edge technology. However, one of the most significant advantages of AI orchestration is its ability to interpret unstructured data—such as text documents, images and videos—and blend it for business-oriented task delivery. When paired with Generative AI models, companies can make sense of diverse, unstructured datasets, revealing insights that were previously locked away. 

The Orchestrators

Bond has been using LangChain for numerous use cases, from establishing operational agents on top of our Synapze LX loyalty technology product to enabling research assistance for various practices and services. Although LangChain started as a basic framework to orchestrate these tasks, with growing user familiarity and buy-in from several large organizations, they have set themselves up to formidably tackle much larger problems when it comes to enabling AI orchestration.  

Palantir Technologies demonstrates the power of AI orchestration when tackling complex data analysis challenges. Rather than developing a single AI model, Palantir's Foundry platform integrates various AI technologies to collect, standardize, and analyze vast amounts of disparate, unstructured data from multiple sources. This approach allows Palantir to address specific client needs across diverse industries, from government agencies to large corporations. 

The impact of Palantir's AI orchestration is significant and measurable. For the U.S. Army, their system reduced maintenance operation planning time from days to minutes, saving an estimated $150 million annually. In healthcare, Palantir aided the NHS in England to efficiently manage COVID-19 vaccine distribution by processing and analyzing complex datasets. For commercial clients like BP, their platform integrated data from thousands of oil wells, enabling predictive maintenance and boosting operational efficiency. 

Image by: Palantir

AI orchestration can unlock value from unstructured data and solve real-world problems in ways that single-model AI solutions cannot match.  

As AI continues to take shape, we recommend paying close attention to these orchestrators. The future of AI might not just be about building better models but, rather, orchestrating existing technologies in novel, powerful ways. 

Reach out to Kienan McLellan if you’re looking to dive deeper into Bond’s AI solutioning and methodology for fostering loyalty outcomes.