Case study: Using AI to create an emerging risk taxonomy for the metals and mining sector

2 min read
Feb 2, 2026

Member objective

A risk leader in the metals and mining sector wanted to create an emerging risk taxonomy using the most up-to-date intelligence.

They wanted to find a way to easily map out relevant emerging risks against business units and principal risks, create scenario plans, and address key questions for the business.

 
walkthrough icon
Walk me through this approach step-by-step
Our team will get in touch and show you how this member successfully created a sector-specific emerging risk taxonomy.
Request now

What they did

The risk leader is a member of Risk Leadership Network. They raised this objective with their dedicated engagement manager on our team, and here's what they did, with our support.

STEP 1

Source the most up-to-date emerging risk intelligence

Some risk leaders are developing their own AI-powered horizon scanning systems, but this member didn't have the internal resources. Instead, they used Risk Leadership Network's Horizon Scanner, which summarises emerging risks from over 500 sources each quarter.

STEP 1
STEP 2

Use sector specific intelligence

We helped the member source relevant company annual reports from the metals and mining sector.

STEP 2
STEP 3

Upload into LLM with prompt

The member was then able to upload the annual reports, together with the Horizon Scanner into their LLM (in this case, ChatGPT). We worked with the member to create an effective prompt that mapped sector-specific emerging risks to business units in a risk taxonomy table.

STEP 3
walkthrough icon
Walk me through this approach in more detail
Our team can show you the prompts and the output.
Request now

The output

The LLM created a taxonomy in table format, that mapped emerging risks against business units.

Metals and Mining Emerging Risk Taxonomy Pathway

The member had anticipated that creating a sector-specific risk taxonomy, using such relevant data was months, if not years away. But, using AI, they were able to tick this off their  to do list in a day.


Next steps

This member is now collaborating with peers to understand how their peers are responding to the key risks identified. So find out more about our upcoming collaborations, please book an exploratory call.

 

Get new posts by email