PESTLE and five forces: look outside the building

Most risk tools look inside: your process, your parts, your bots. Some of the biggest risks come from outside. These two tools look out the window.

PESTLE

PESTLE is a checklist of outside forces. It's often traced to Francis Aguilar's 1967 book on scanning the business environment and has been extended over the years:

LetterForceExamples
PPoliticalTrade policy, tariffs, government programs
EEconomicInterest rates, material prices, labor costs
SSocialWorkforce age, customer expectations, attitudes to computer intelligence
TTechnologicalNew processes, new artificial intelligence models, automation
LLegalRegulations, privacy law, product liability
EEnvironmentalEmissions rules, energy costs, climate risks

For each, you ask: what's changing, and how could it help or hurt us?

Porter's five forces

Michael Porter introduced the five forces in the Harvard Business Review in 1979. It explains how much profit is possible in an industry:

  1. Rivalry among current competitors.
  2. Threat of new entrants.
  3. Bargaining power of suppliers.
  4. Bargaining power of buyers.
  5. Threat of substitutes.

Strong forces squeeze margins. Weak forces leave room.

Why it matters right now

Computer intelligence is changing several of these forces at once. A bot that drafts quotes in minutes changes rivalry. Cheap analysis lowers barriers for new entrants. And your model provider is now a supplier with real bargaining power. See Suppliers: connectors, models and other people's bots.

Why people skipped it

Both tools take research: reading industry news, regulations, competitor sites, economic data. It usually gets done once a year for the strategy offsite, from memory.

How a bot does it

  1. Give the bot your business description and, if it can search, permission to research.
  2. Have it fill each PESTLE letter or force, with sources and dates.
  3. Have it rate each item for likely impact on you.
  4. Have it flag what's new since the last run.
  5. A person reads the high-impact items and decides what to act on.

Run it quarterly. With a bot, that's cheap.

The bot brief

Run a PESTLE scan and a five-forces analysis for [business, market, region].
Business description: [file]. Previous scan: [file, optional].
For each PESTLE letter: 2-5 current developments. Each needs a source link and date.
If you can't find a source, leave it out — don't fill from memory.
Rate each: impact on us (High/Medium/Low) and direction (helps/hurts).
For each of the five forces: current strength (High/Medium/Low), evidence, and
how artificial intelligence or automation is changing it.
List what changed since the previous scan.
End with the 5 items most worth a manager's attention.

Starting point only. Test it on your own data and model, and adjust as needed before you rely on it.

An example (two rows)

ItemSourceImpactDirection
Steel price index up over the quarter[industry index, dated]HighHurts
Competitor now promises same-day quotes[competitor website, dated]HighHurts

Each row cites a dated source. A row with no source isn't a finding. It's a rumor.

Where bots differ

This is research, and research is where bots most often make things up. A plausible-sounding regulation or price trend with no source is worse than nothing. Require a link and a date on every item, and click a few. See Hallucinations.

Also, a bot's training has a cutoff. Without a search tool, it doesn't know this quarter's news. Give it search, or give it the sources.

What this means for you

  • Scan outside the building at least quarterly.
  • Have a bot do the research, with links and dates.
  • Read the high-impact items.
  • Feed what you find into SWOT and your risk tables.

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