S6 · Cross-Cutting

Exposure Scan

A ranked scan of which industries are most exposed to a specific regulation, macro trend, or structural force — across a defined set. Covers RP/SC or SU/ESG pillar scoring, matched scenarios, and trend amplification, ranked by exposure severity.

Price $2,500–6,000
Effort Medium–High
Delivery 24–72 hours
Format PDF + structured brief
Available as Retainer / subscription

Commission this pack

Tell us the industry, your decision, and your deadline. We'll confirm scope and deliver within 24–72 hours.

We'll reply within 4 business hours to confirm scope and pricing. No payment until you approve the scope.

What's in every pack

Executive summary

Plain-language industry read with a bottom-line conclusion for your decision.

Decision in focus

The specific decision named, with its owner and cost of delay. The spine of the whole pack.

Risk scorecard read

Top-5 structural risk exposures and top-5 favourable positions from the 81-attribute GTIAS scorecard.

SWOT analysis

Every entry traced to a scored attribute or confirmed risk scenario — not free-floating assertions.

Porter's Five Forces

Attribute-linked force intensities and overall attractiveness rating, tied to the decision.

Active risk conditions

2–3 score-triggered risk conditions with trigger evidence, business impact, cascade chain, and playbook response.

Macro-trend overlay

1–2 named macro trends amplifying the picture, with forward-looking implications for your decision.

Next moves & discovery questions

3 sequenced actions plus 5 discovery questions designed to make you sound fluent in your next conversation.

Ideal for

  • Compliance or policy team mapping regulatory impact across sectors
  • ESG investor screening for climate or transition exposure
  • Risk team monitoring a geopolitical or trade shock across a portfolio

Decisions this pack supports

  • "Which of our industries are most exposed to this incoming regulation?" — Compliance, policy, investor
  • "Which industries face the highest climate/transition risk?" — ESG investor
  • "Which industries carry the most geopolitical/trade-control exposure?" — Risk, policy
  • "Where is the next risk forming across the sectors we watch?" — Risk, strategist, fund manager

GTIAS evidence used

The structured data this pack pulls from the GTIAS corpus:

  • RP/SC filter + the named trend, ranked across industries
  • SU pillar + ESG scenarios + trends, ranked
  • RP + geopolitical scenarios, ranked
  • Trends scanned across a defined industry set

This pack is decision-support, not advice. GTIAS scores describe industry-level structural conditions — not your individual circumstances. Risk conditions are score-triggered indicators based on attribute thresholds, not confirmed factual assertions about real-world events. The pack is human-reviewed before delivery but is not a substitute for primary due diligence or domain-expert sign-off on your specific decision. Responsibility for the decision itself remains with you.