Trust Stack · Layer 03
Behaviour
Catch the wrong answers before customers do
What this layer means
Behaviour is about what happens when AI produces output. Do you check it before it reaches a customer? Do you disclose when AI was used? Do you have a process for when it gets something wrong?
AI tools are confidently wrong in ways that are hard to predict. They fabricate citations, invent statistics, and produce plausible-sounding nonsense. The Behaviour layer is about building habits that catch these errors before they cause damage.
Why SMEs should care
- AI tools can produce confident, plausible, and completely wrong outputs
- Customers care about accuracy more than they care about AI usage
- A single AI error sent to a client can damage your reputation
- Testing outputs is faster than fixing mistakes after the fact
Common failure patterns
- AI-generated content sent to clients without review
- No process for checking AI outputs for accuracy
- Staff trusting AI outputs because they sound authoritative
- No disclosure to clients when AI is used in deliverables
Questions leaders should ask
- Do we have a review step before AI-generated content goes to a client?
- Do we disclose when AI was used in client deliverables?
- What is our process when AI produces something wrong?
- Do our staff know how to spot common AI failure patterns?
Start here
A practical first action
Add a mandatory review step to any workflow that uses AI to produce client-facing content. Before anything AI-generated goes to a client, a human reads it, checks the facts, and signs off. Keep it informal. Make it habitual.
How does your business score on Behaviour?
The AI Readiness Scorecard measures your position across all five Trust Stack layers in about ten minutes.
Start with a thirty-minute conversation
Book a free consultation. We map your specific challenges and identify practical next steps. No sales pressure, just useful advice.