AI Forge - Digital Proclaim
AI Catalyst — Opening Keynote
One language.
Two pillars.
One workforce.
How artificial intelligence augments our people — in the field, and at the desk.
The Question
Work is changing.
Not ending.
The question in this room is not whether AI reaches your desk. It's whether you're ready when it does.
The newest person on your team may be about to get a lot better — overnight.
"AI is the new electricity." — Andrew Ng · Finding on experience gains: [Research source to be inserted]
Why We're Here
This is not a technology demonstration.
AI Catalyst is workforce capability building — for every division, not just Tech.
- Not about becoming a programmer.
- About becoming more capable in your own profession.
- Built for Finance, HR, Legal, Procurement, Operations, and Supply Chain — as much as for Tech.
One Strategy
Two pillars. One company.
The Field
Enterprise Applied AI
AI running and watching our machines and our land — safety vision, predictive maintenance, exploration.
OWNED BY · Tech & data teams
The Desk
AI Literacy & Collaboration
AI speeding up documents and decisions — across Finance, Legal, HR, Procurement, and every function.
OWNED BY · Every employee
Both need a human at the wheel. Both matter equally.
Today's Focus
AI Catalyst lives here.
The Field
Enterprise Applied AI
Continues in parallel, led by Tech & data teams.
The Desk — Today
AI Literacy & Collaboration
Your documents. Your decisions. Your everyday work. This is what AI Catalyst builds — starting now.
one enterprise AI strategy
The Real Problem
We don't have a technology gap.
We have a language gap.
Tech talks about models, data, and algorithms. Everyone else talks about invoices, contracts, and safety. When "algorithm" sounds like "scary complexity," projects stall, budgets are wasted, and trust breaks down.
The fix isn't a new platform. It's a shared dictionary.
Demystifying AI
Picture a fast-learning intern.
- Learns from examples — like a new hire, just thousands of times faster.
- Gets better with honest, specific feedback.
- Still needs supervision. It can be wrong — sometimes confidently wrong.
A co-pilot, not an autopilot.
Strengths
Let it do the first draft.
The rough work — so you can focus on the judgment call.
Limits
AI doesn't know what it doesn't know.
It can sound certain and still be wrong. That's why a human stays in the loop.
The Honest Question
Will AI take my job?
AI automates tasks, not job titles. Calculators didn't erase accountants — they freed them for higher work.
At Risk
Repetitive, rules-based effort.
More Valuable Than Ever
Judgment, empathy, and supervision.
AI will automate tasks and reshape roles. People who combine AI with expertise and judgment gain the advantage.
Why Now
In a mine, standing still is falling behind.
- A haul truck sitting idle costs us for every hour it's down.
- A safety incident costs far more than money.
- ESG expectations, cost discipline, and transparency demands keep rising.
- Our competitors have already started.
Already Useful
Small, real, everyday.
Finance
Matches invoices and flags the gaps. You approve the exceptions.
HR
Screens CVs against your criteria. You run the interview.
Legal
Drafts the standard contract. You review and approve.
Procurement
Compares vendor quotes side by side. You negotiate and decide.
Operations
Summarizes shift and incident reports. You act on what matters.
Supply Chain
Drafts routine schedules and forecasts. You handle the exceptions.
Non-Negotiables
Four rules. Every time.
Protect confidential data
Verify important outputs
Keep humans accountable
Use approved tools & processes
The Journey
Start small. Prove it. Scale it.
Phase 1 · 0–3 months
Pilot
One or two measurable pilots per pillar.
Phase 2 · 3–9 months
Measure & Train
Track results, build everyday AI literacy.
Phase 3 · 9+ months
Scale
Expand what works, supported by an AI Champion in every division.
Closing
A smarter mine will not be built by AI alone.
It will be built by people who know how to work with it.
AI Catalyst starts now