Transforming RFI Processes for Intelligence Analysts with Agentic AI

They are then required to provide a comprehensive report. This process is extremely time-consuming and leaves room for important details to be missed. Speed and accuracy are crucial.

Powered by Adarga’s proprietary AI technologies, the RFI Assistant employs a sophisticated agentic workflow built on top of the Adarga Knowledge Platform (AKP), utilising carefully crafted custom AI agents.

The concept of an agentic workflow represents a radical departure from traditional AI processes. Unlike conventional models that generate outputs in a single pass, agentic workflows involve iterative, interactive AI development, where AI agents engage in self-reflective processes while enabling human oversight and control at every step.

Agentic AI allows systems of self-managing and self-correcting AIs to interact with one another, amplifying their strengths while mitigating their weaknesses. These autonomously interacting AI systems are dramatically more powerful and capable than previous technologies.

The agents behind the Adarga RFI Assistant are equipped with a range of AI-driven capabilities from Adarga’s proprietary Knowledge Platform – our ecosystem of 35+ models geared for information intelligence use cases. Features such as document searches, entity extraction, event identification, and relationship mapping are unlocked for the agents, enabling the RFI responses to be compiled using highly relevant information.

The power of the RFI Assistant lies in its bespoke AI agents, each optimised for a specific phase of the RFI response process. By collaborating with senior intelligence analysts, our engineers were able to design and train the agents to deliver unprecedented results.

To improve the quality of responses in a specific domain, specialist analyst agents can be created with a focus on specific fields such as Chinese foreign policy, national security, or other areas. Crafting these bespoke agents requires deep domain knowledge. A specialist agent on the Middle East, crafted by Adarga, was enabled for the demonstration videos presented here.

Throughout the process, human analysts are engaged to review, validate, and refine outputs at each stage, maintaining control over the final deliverable. By ensuring human control over AI agents, the Adarga RFI Assistant generates RFI responses that are of significantly higher quality than either humans or AI could produce on their own.