Use cases
Clearer architecture for the decision in front of you
Each example is a director-level job: judgment, ownership, and orchestration of live systems. None of them is a task a language model can finish in a day.
Capital and IC
6 shareable examples
- Capital and ICWrite the IC memo the committee can still test after closeA Venture Architect rebuilds the IC paper from live behavior so a cold reader can poke the thesis at month six, not only at signing./use-cases/ic-memo-before-close
- Capital and ICRebuild claimed capability the way a quality-of-earnings rebuilds earningsDirector-level bridge from CIM claim to invoice ARR to live throughput to residual human cost./use-cases/diligence-on-claimed-capability
- Capital and ICSequence kill criteria in week two, not week sevenWalk, restructure, or proceed while the firm still has leverage, before synergy slides eat the exclusivity clock./use-cases/kill-criteria-for-a-portfolio-bet
- Capital and ICReallocate hold-period capital after rewrite cost is pricedEffective multiple after remediation, not a backlog of six add-ons the hold period cannot exit./use-cases/capital-allocation-across-ai-bets
- Capital and ICTranslate the IC thesis into a 100-day plan with named ownersMap IC levers to seats below the C-suite, cash-first, before any strategic add./use-cases/post-close-100-day-operating-plan
- Capital and ICProve the rollup playbook on one site before underwriting the restUnderwrite only the margin proved on one site over a full cycle, then a written gate before add-on capital./use-cases/portfolio-company-playbook
Operations
5 shareable examples
- OperationsWrite kill-and-scale rules for work already in the lineA weekly keep-or-retire board with a named owner who can stop funding, before the next wave of volume./use-cases/stop-or-scale-pilot
- OperationsPut an operating model around work that already runsOne decision owner, one product owner, one risk owner, a run budget, and a cadence that treats the system as a line, not a project./use-cases/operating-model-for-ai-work
- OperationsDesign exception paths before the line drownsWhich cases run, which wait, which escalate to a named judge, with capacity and a weekly mix review./use-cases/exception-path-when-models-fail
- OperationsRedesign the ops workforce once the happy path is goneWhich roles disappear, which become exception judges and policy owners, and what good looks like when volume-per-person is no longer the only metric./use-cases/workforce-redesign-around-the-desk
- OperationsSucceed the champion before the line loses the rulesStewardship transfer: business owner, deputy who has already sat as exception judge, and who can pause the system./use-cases/succession-when-the-ai-champion-leaves
Commercial model
5 shareable examples
- Commercial modelSell the production offer after a live test, not a second demoA paid, time-boxed trial on the buyer's own traffic, then a scoped production fee a CFO can sign./use-cases/commercial-offer-after-demo
- Commercial modelPrice the named decision, not the token meterA unit a CFO can budget: workflow, completed task, or decision. Tokens stay underneath./use-cases/pricing-the-ai-product
- Commercial modelMap every customer promise to the live system before the next campaignFalse-advertising and warranty work: each claim needs the test set, the environment, and the live path./use-cases/customer-promise-vs-live-system
- Commercial modelWrite drift terms that give an exit, not a creditNamed model version, notice before a swap, buyer-owned golden set, and termination when quality stays down./use-cases/contract-terms-for-model-drift
- Commercial modelMake or buy on 24-month cost and who operates after week 12Buy commodity models. Build proprietary data, workflow, and control. Name the operator after month three./use-cases/make-or-buy-the-missing-capability
Delivery
5 shareable examples
- DeliveryInstall ownership after a production findingClose the finding only when named owners and cadences are live, not when the postmortem slide is done./use-cases/install-ownership-after-finding
- DeliveryStaff human review on high-stakes workWhich cases never leave without a named reviewer, the capacity that requires, and a sample that proves the review is real./use-cases/human-review-on-high-stakes
- DeliveryName one domain owner for the live process P&LA line leader accountable for throughput, cost, and incidents, not a lab that owns the model./use-cases/who-owns-the-prompt-vs-the-p-and-l
- DeliveryScale a winning site playbook without cloning headquartersWhat is global (controls, kill rules) versus local (labor, language, data rights), and which site earns the next go-live./use-cases/regional-scale-without-a-demo
- DeliveryShape the founding seat before you hire a labA written mandate for hire one: ship the production path, or close named decisions. Those are different seats./use-cases/founding-team-role-shape
Risk and exam
6 shareable examples
- Risk and examBoard pack that names who owns spend and residual riskInventory of paid uses, who can stop spend, and what residual risk the board is accepting this quarter./use-cases/board-accountability-for-ai-spend
- Risk and examReconstruct the real reasons behind an AI-touched decisionFile reconstruction plus method validation so a customer notice matches what was actually scored./use-cases/exam-reconstructable-decision
- Risk and examBuild the evidence pack for the next exam weekInventory, validation dates, minutes, vendor files, and where logs live, then a dry-run of the first 20 questions./use-cases/evidence-pack-for-a-supervisor
- Risk and examSettle data rights before the next training or scale gateA living impact assessment: purpose, lawful basis, training versus inference, vendor sub-processing, and what happens if a subject objects after go-live./use-cases/data-rights-before-scale
- Risk and examMap partner and fourth-party risk before a critical contractVendor, model host, data broker, concentration, audit rights, and a tested 72-hour manual path./use-cases/partner-risk-in-an-ai-supply-chain
- Risk and examSet the board's appetite for how far a system may actWhich decisions stay human-owned, what meaningful review looks like, kill-switch owner, and revalidation when the vendor changes the model./use-cases/board-risk-appetite-for-autonomy
AI work design
5 shareable examples
- AI work designHandoff of live systems across teamsBefore scale: who owns the KPI, who can change the workflow, who owns exceptions, and who may expand scope./use-cases/agent-handoff-across-teams
- AI work designOrchestrate a multi-vendor stack without a platform fantasyInventory what can act, on whose identity, against which system of record. Keep one audit trail you own./use-cases/orchestrating-tools-without-a-platform-fantasy
- AI work designGovern tool sprawl as operating design, not a catalogTier tools by irreversibility, name a process owner and a tool owner per high-consequence path, retire orphans./use-cases/multi-vendor-ai-stack-governance
- AI work designJudgment rights when live systems actMandate, who approved the scope of judgment, who built the path, and who owns the cash or customer outcome./use-cases/judgment-rights-when-agents-act
- AI work designIncident command that can file a notice on the clockNamed commander, classification worksheet, evidence folders, and a board briefing that matches the notice fields./use-cases/incident-command-for-model-failure
Validation loops
How a desk pressure-tests a brief before it becomes spend
- LoopSearch the operating documents, not the pitchA Venture Architect searches the live operating documents that sit behind a decision, then writes what they actually say.
- LoopValidate the brief against situations like yoursEach brief is checked against a set of director-level situations so exploring traffic does not look like a desk.
- LoopRun the decision through an operating harnessBefore spend, the desk runs the decision against failure, ownership, and reconstructability.