# Judgment Vault by VANDAM: Expert decisions, documented and tested > A documented decision guide built from one person’s experience. Your team receives the rules, reference cases and explanations behind recurring decisions, with clear boundaries for when to act and when to ask. URL: https://vandam.ai/judgment-vault Contact: hendrik@vibelab.be # Your expert’s decisions. A guide others can use. A documented decision guide built from one person’s experience. Your team receives the rules, reference cases and explanations behind recurring decisions, with clear boundaries for when to act and when to ask. [Discuss the project](mailto:hendrik@vibelab.be?subject=VANDAM%20/%20Judgment%20Vault) **$16,000** four weeks · per decision maker ## The best judgment in the company sits with a few people. - **15%** more issues resolved per hour when 5,172 support agents got an AI assistant trained on their top performers. The least experienced gained most. [NBER](https://www.nber.org/papers/w31161), Brynjolfsson, Li and Raymond. - **11,200** Americans turn 65 every day from 2024 through 2027, more than 4.1 million a year. [Peak 65 research](https://www.planadviser.com/peak-65-finds-millions-americans-unprepared-economist-warns/), Alliance for Lifetime Income. > This is the actual bottleneck. The models are smart enough already. What is missing is the company-specific context locked in senior people heads. > > Garry Tan, President and CEO, Y Combinator, May 2026, [Source](https://x.com/garrytan/status/2061076595474121073) So no, waiting for the next model won’t help. Your expert’s past cases will. ## Keep the reasoning in the business. Some decisions keep landing on one desk: a price exception, a credit request, a supplier nobody has used before. The person at that desk knows which two details matter. Everyone else only sees the answer, so the next similar request starts the same conversation again, and the work waits whenever that person is away. We sit with that person and go through real past decisions until the reasoning is on paper: what they checked, what made the exception different, where they would refuse. Part of the job is cutting. Some habits are real judgment and some are workarounds for a system that broke years ago, and only the first kind belongs in the guide. What remains becomes a guide colleagues can read and instructions an AI system can follow within agreed limits. The unusual cases still go to the expert. If you just capture it and encode it into the agent, you’ve automated the dysfunction. (Ahmad Kakar, CEO of Euclid, quoted by [Annelies Gamble](https://x.com/AnneliesGamble/status/2069814714214023186) of Zetta Venture Partners, June 2026) Judgment Vault builds on your [company brain](https://vandam.ai/company-brain): the expert’s decisions become rulings in it, next to the policies they apply. ## From experience to a working guide. 1. Review real decisions: We interview the decision maker using previous cases. We record the information considered, the reason for the answer, and what made an exception different from an ordinary request. Case 041 · credit request - **Customer** Harbor Foods, 6 years - **Asked** $120k limit, up from $80k - **Looked at** Payment days, order trend, owner change - **Decision** Approved at $100k - **Why the exception** Pays in 21 days; the new owner is the old CFO 2. Write and test the guide: We turn that material into rules, examples and escalation points. Then we compare the guide against known decisions and review disagreements with the expert before it is used. Guide vs. known decisions Guide says Expert decided - Approve $100k Approved $100k - Decline Declined - Escalate Approved $60k 38 of 40 match. 2 under review. 3. Introduce it with supervision: Your team starts with the guide under agreed supervision. You receive the decision library, test cases and ownership record, including the circumstances in which someone must ask for judgment. Supervised use, week 2 - Requests under $50kteam decides - $50k to $150kguide + check - Above $150kask the expert - New customer, no historyask the expert ## Written in four weeks. Kept current after that. You own the guide, the cases and the skills. Customers, prices and the expert’s own thinking keep changing, so after handover we can stay on for a monthly fee to keep the guide and its tests in step. - New cases: Requests that went to the expert are added as reference cases, so the guide learns from them. - Retesting: Every rule change is run against all reference cases before your team uses it. - Boundary review: The escalation points are reviewed against the record, and they move only when the cases support it. - Expert sessions: A monthly session with the expert on disagreements, new exceptions and decisions to add next. [Ask about monthly care](mailto:hendrik@vibelab.be?subject=VANDAM%20/%20Judgment%20Vault%20care) ## What you receive. - Decision library: Readable guidance and tested agent skills. - Reference cases: Past decisions retained as repeatable tests. - Decision record: The interviews, reasoning and ownership of each rule. $16,000 four weeks · per decision maker An indication from past projects. The final price can move a little with the size and complexity of your company, and we agree it in writing before we start. For owners and department heads whose decisions depend on one person. Useful before a handover, or when routine decisions keep returning to the same desk. [hendrik@vibelab.be](mailto:hendrik@vibelab.be?subject=VANDAM%20/%20Judgment%20Vault) ## Where the vault leads. Each next step has its own service. ### Company Brain Comes before: the policies and history the rulings sit next to. **$19,200** ### Agent Onboarding Agents load the rulings for the decisions they help with. **$9,600 + $1,600/mo** ### Eval Suite Tests agents against your expert’s reference cases on every new model. **$12,800** ### 100×worker Program Trains the next people on the decisions the vault holds. **$8,000** We can know more than we can tell. (Michael Polanyi, [The Tacit Dimension](https://www.taylorfrancis.com/books/9780203559055/chapters/10.4324/9780203559055-8), 1966) ## Before you ask. ### How much of the expert’s time does this take? The interviews use real past cases, and the expert reviews every disagreement from the test run. We agree the sessions at the start so they fit around the expert’s normal work. ### Will an AI make these decisions on its own? Only within the boundaries agreed during the supervised start. Unusual cases and anything past an escalation point still go to the expert. ### What happens when the guide and the expert disagree? Every disagreement is reviewed with the expert before the guide is used. It ends as a new rule, a new exception or a corrected case, and the decision record notes which. ### Can we cover more than one person? Yes. Each decision maker is a separate project with their own interviews, cases and tests.