Social Licence Loss Calculator · meetmagic executive download
Executive AI transition risk tool
The conversations that decide your next AI move.
A board-ready calculator for quantifying how unmanaged AI transition risk can turn promised savings into social licence loss, trust erosion, talent flight and slower adoption.
Use it to turn AI transition assumptions into a clear executive conversation about risk, controls and the value of human intelligence.
Why non-AI benchmarks are included
This calculator deliberately includes familiar, well-researched reference points from workforce replacement cost, project performance, engagement, and brand trust. Those anchors make the AI-specific assumptions easier to believe, debate, and adjust. Use the popups as a boardroom education layer, not as legal, valuation, or actuarial advice.
Guided boardroom edition
Every input now explains itself.
Click the small question marks beside inputs to see what the number does, how it is derived, and which non-AI benchmark gives the assumption confidence. The intent is simple: make a recipient open the file, understand the logic, and trust the conversation enough to challenge the assumptions.
Confidence anchors
0.5–2×salary replacement-cost range cited by Gallup
9.9%of every dollar wasted through poor project performance, PMI
67%more likely to stay loyal/advocate when consumers trust a brand, Edelman
1. Business case inputs
Use directional assumptions. This is designed for boardroom sensemaking, not false precision.
2. Social licence risk assumptions
Use PERT three-point estimates where a single number would freeze the conversation. Enter a minimum credible estimate, the most likely case, and a maximum plausible exposure. The calculator uses the standard PERT expected value: (min + 4×most likely + max) ÷ 6.
Customer churn from trust erosion% of annual revenue
PR and reputation backlash% of annual revenue
Brand recovery spend% of annual revenue
Additional attrition% of AI-affected employees
Replacement and productivity cost% of salary
Slow adoption and workarounds% of AI savings lost
Failed rollout and rework% of AI program spend
Legal or regulatory exposure% of annual revenue
Investor confidence hit% of market value proxy
PERT is used here to make uncertainty explicit: executives can give ranges instead of pretending one subject-matter estimate is certain. The expected value is then used in the board summary and loss breakdown.
3. HI transition control strength
This follows the HI Accreditation logic: capability, voice, redeployment, human judgement, evidence and social licence. It does not promise no jobs change. It tests whether the transition is being handled properly.
Live loss while you edit inputs
$0
Loss vs AI savings: 0.0×
This panel stays visible as you scroll through PERT assumptions.
Board summary
Expected AI savings
$0
The number usually shown in the ROI deck.
Social licence loss
$0
The PERT expected value usually missing from the ROI deck.
Estimated loss with HI controls
$0
Risk after transition controls are applied.
Loss avoided by HI transition
$0
The value of trust, transition and adoption discipline.
Loss breakdown
| Risk pool | Formula basis | Estimated loss |
|---|
Social licence deterioration score
What HI Accreditation changes
Without HI transition controls
AI is experienced as cost extraction. Employees have limited voice, customers question judgement, managers enforce adoption, and the board inherits a trust problem after the savings are booked.
With HI Accreditation logic
The organisation evidences transition quality: board accountability, mutuality, capability pathways, responsible redesign, redeployment-first effort, human oversight and transparent improvement.