You don't need to a be an AI research scientist attempting to mimic the way the human brain works to appreciate how useful the analogy might be for enterprise. Imagine every employee in your company had an assistant that "knew" everything your organisation had ever known—the entire history, context, nuance and intent of the business and its operations—and could process, analyse and use that information in a matter of seconds, in infinitely repeatable ways.
Since 2018, foundation models have been surging with capability and, more recently, popularity. Enterprise is now ready to talk advantage of this by building 'organisational brains' on top of them. When we talk to clients about these kinds of projects, there's a certain flavour of conversation that emerges: "isn't this what the intranet was mean to be?". Pretty much, but how there are more compelling interfaces, more powerful and accurate discovery and retrieval techniques and emerging LLM capabilities.
This is about the opportunity to create an intelligent system that ingests all kinds of unstructured data and is increasingly able to deliver accurate, meaningful, and actionable insights to help with decision-making.
Here is an emerging set of considerations, opportunities and capabilities we're working on in this space:
Deployment of LLMs and AI alongside internal systems and processes using a secure, optimised data foundation – retaining full control over what the AI has access to. We choose from commercial or open-source LLMs.
Operational Agents & Actions : we're currently engaged in work where we're creating AI agents powered and orchestrated by LLMs that can understand, recommend, and trigger business processes and actions.
Human-in-the-Loop : at Move 37 we consistently implemented the use of AI and LLMs with interfaces for decision making, feedback, and safe hand-off functions among agents, other models, and operators.
AI Control & Guardrails : applying AI guardrails to define what actions LLMs and AI can take and where to include a human-in-the-loop is super important. Additionally, as with any technical infrastructure build or integration, being aware of existing organisational policies, like access rights, is essential in implementing complimentary AI systems.
Monitor and evaluate all AI activity. Audit every prompt, output, explanation, recommendation, and action taken to enable compliance with the law and applicable regulations.
We're working on a diverse range of cutting-edge projects incorporating these approaches and technologies. What will you build?
Dave
