Practical writing on investor-relations practice for listed mining and energy companies.
A walkthrough of the sections every listed miner and energy company needs to cover, and where AI drafting tools can handle the repetitive language blocks so your IR team focuses on the parts that actually require judgment. Includes a section-by-section breakdown of a standard quarterly update and notes on what to leave to the IR professional.
Read articleWhen you feed an AI tool 12-18 months of your past quarterly reports and earnings releases, what is it actually extracting? A technical explanation for IR managers.
A framework for building a structured Q&A bank that your team can update and reuse across earnings cycles.
IR teams at mid-cap miners typically spend 40-60 hours per quarter on disclosure drafts. Where that time actually goes, and which parts are worth automating.
Where AI helps and where it still needs a human editor. Oil, gas, and renewable energy IR disclosure patterns examined.
A review of what listed mining and energy companies are doing well in their shareholder communications in 2026.
A system for tracking, approving, and reusing your IR team's best answers across earnings cycles.
From production data collection to EDGAR filing, a realistic map of the workflow and where IR teams lose the most time.
A look at the specific bottlenecks, the shortcuts that create problems later, and the ones that are actually safe.
SEC Regulation FD, EDGAR filing requirements, and material information rules. A plain-language overview for IR managers.
Why investor-facing language drifts when different team members write each quarterly disclosure, and what a structured approach looks like.
Production guidance, hedging policy, capital allocation, reserve life estimates, and commodity price sensitivity. With notes on what investors are really asking.
