The Perfect Proposal
AI makes the proposal stronger, clearer and more persuasive. But what deserves checking before it goes to the customer?
WATCH CHALLENGE →JUDGMENT CHALLENGES
Realistic business decisions where AI can inform the answer, but cannot remove the need for judgment.
Each challenge puts you inside a decision, asks you to choose, and then examines what your choice reveals about trust, context, evidence, consequence and responsibility.
SALES
What selling requires when intelligence is available on both sides of the table.
AI makes the proposal stronger, clearer and more persuasive. But what deserves checking before it goes to the customer?
WATCH CHALLENGE →Your AI sales platform rates the opportunity as one of your strongest. Seven positive buying signals point the same direction. Do they all deserve equal weight?
WATCH CHALLENGE →Six weeks into an AI-prescribed activity mix, first meetings are up 34% and pipeline value is up 9%. Qualification conversion just dropped from 40% to 22%.
WATCH CHALLENGE →One week of focused time, then two weeks away. Your pipeline-priority tool ranks the bigger deal first — the smaller one has the funding deadline.
WATCH CHALLENGE →An AI pricing agent recommends a maximum discount of 8%. The rep overrides it, offers 12%. The customer signs. Does that prove the override was needed?
WATCH CHALLENGE →An AI account-prioritization tool ranks a long-time reference account low, because its objective is expected revenue. The system saw everything. It just wasn't built to value it.
WATCH CHALLENGE →An AI forecasting system has closed 92% of its high-probability calls correctly for two years. This quarter, a €2M renewal scores 91 — and a 15-year rep says something's wrong.
WATCH CHALLENGE →An AI deal-approval agent has a 98% clean-outcome rate on renewals up to $50K. Leadership wants to triple its authority to $150K. Does the record actually settle that?
WATCH CHALLENGE →More Sales Judgment Challenges are in development.
LEADERSHIP
Decisions about authority, risk, resources and responsibility as AI becomes part of organizational work.
Six months into an approved AI control, procurement's AI system is clearing contracts exactly as designed. Nothing has visibly gone wrong. Is that proof the control is working — or proof no one is looking?
WATCH CHALLENGE →Six months after an AI drafting tool launched, only 12% of reports start from an AI-generated draft. The dashboard recommends a refresher training.
WATCH CHALLENGE →Your resourcing platform found the strongest available match for an urgent gap. It doesn't capture what her current role represents.
WATCH CHALLENGE →An AI system can authorize a material switch in ten minutes. The required 24-hour stress test hasn't started, and a similar shortcut failed eight months ago.
WATCH CHALLENGE →An AI operations agent reallocates capacity away from a plant mid-expansion — a fully rule-following decision an executive still doesn't like.
WATCH CHALLENGE →Your first AI initiative failed. What should you conclude before deciding what happens next?
A high-value AI initiative is being blocked by Risk, Legal or HR. Who is exercising better judgment?
AI can now make and execute the decision. Should you let it?
HR
What happens to roles, performance and human value when AI changes the work itself.
A collaboration score built from recorded meeting data feeds straight into bonus pay. One of your strongest performers just came in four points under threshold.
WATCH CHALLENGE →120 roles are being eliminated. The proposed memo explains it as part of the company's AI transformation. Every sentence in it is accurate.
WATCH CHALLENGE →Two claims processors, same role. After a complexity adjustment built to fix exactly this complaint, one employee's score is still 15% higher.
WATCH CHALLENGE →AI has removed most of the routine work. What is the employee now valuable for?
If AI can perform the work juniors used to learn from, do you still hire them?
One of your best employees refuses to integrate AI into their work. Their performance is still excellent. What do you do?
AI automated the easy 70% of the job. The remaining work requires considerably more judgment. Should performance still be measured the same way?
One employee with AI can now produce what three employees produced before. Who should benefit?
FINANCE
What a precise number can and can't decide for you — credit, risk and fraud decisions where AI works exactly as designed.
A credit-risk model has been right for five years. Then the environment changed overnight. How much of that track record still applies?
WATCH CHALLENGE →Lowering a fraud threshold catches more fraud — and freezes more legitimate payments. AI can quantify the trade-off. It can't decide who should pay for it.
WATCH CHALLENGE →A credit model excludes race, gender and zip code by design. The fairness audit finds a familiar pattern anyway.
WATCH CHALLENGE →More Finance Judgment Challenges are in development.
PRIVATE JUDGMENT LABS
You do not have to wait for a Judgment Challenge to be published. Upcoming challenges can be explored with your leadership or team through a private 90-minute Judgment Lab.
YOUR ORGANIZATION
If your team is facing a difficult decision that is not represented here, tell me about it.
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