Insights on Agentic Intelligence, Systems Design & Applied AI
The Compliance Bottleneck No One Talks About: Why Agricultural Supply Chains Are Struggling with Transparency
A Dutch food company sources quinoa from Rajasthan. The European market demands residue-free certification. Somewhere between a farmer's field in western India and a warehouse in Rotterdam, compliance documentation needs to flow seamlessly across languages, formats, time zones, and regulatory frameworks. Right now, that flow runs through Excel sheets. This isn't an edge case—it's the norm. And it explains why agricultural supply chain transparency remains one of the most talked-about yet least-solved problems in global trade. The companies getting this right have stopped treating technology as a reporting layer bolted onto existing processes and started redesigning processes around what agentic AI now makes possible.
Listening at Scale: Designing Conversational Intelligence for Insight
Organisations increasingly need insight grounded in real human experience, yet traditional research methods struggle to reach people working under real-world constraints. Conversational intelligence offers a new approach — one that enables asynchronous, low-friction participation while preserving depth and nuance. By pairing adaptive dialogue with structured analytics and strong governance, organisations can transform fragmented qualitative input into reliable, decision-ready insight at scale.
From Forms to Intelligence: Rethinking Mystery Shopping Systems
Field intelligence systems often fail at the point of capture. Rigid forms, delayed submissions and manual processing distort reality before insights ever reach decision-makers. Agentic field intelligence reimagines this process by aligning reporting with how field work actually happens. Through conversational, adaptive interfaces and automated structuring, organisations can capture high-fidelity operational insight without increasing friction or administrative load.