Emerging risk Featured

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

Christina McKeon Frutuoso
by Christina McKeon Frutuoso
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.

 
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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
STEP 4

Turning insights into actions

The member is now raising specific issues raised from their intelligence and revised taxonomy with their RLN engagement manager. We're facilitating targeted collaboration with relevant peers, enabling them to explore the so-whats? of these findings.

STEP 4
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Our team can show you the prompts and the output.
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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 will continue to collaborate with peers to understand how they are:

  • Responding to the key risks identified in the intelligence/revised taxonomies;

  • Developing and enhancing their emerging risk frameworks;

  • Engaging the board and wider business with emerging risk

The next quarterly release of Risk Leadership Network's Horizon Scanner is later this month. The member will also be updating their emerging risk reports with the most up-to-date intelligence.

Find out more about our the Horizon Scanner, how members are integrating it into their emerging risk frameworks and upcoming collaborations, please book an exploratory call.

 
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