Eight features, one job: keep the decision defensible after the room clears.
Five features for deal teams underwriting with evidence (Decision Ledger, Investment Memory, Scenario Engine, Governance, Decision Replay). Three for portfolio operators and owners measuring institutional readiness (Institutional Readiness Assessment, Lift Ledger, Portfolio Readiness Monitoring). Same engine, three audiences, one record.
Investment Decision Ledger
Decisions do not just drift. They expire while still being treated as valid.
The Decision Ledger preserves the governed record of how a decision moved, what downside or pressure it relied on, who approved it, and what happened next. And it tracks when that decision stopped holding under current conditions.
- •The pressure that triggered review
- •The scenario path and downside basis shown at the time
- •The owner, blockers, and approval state
- •The governed output generated from that exact context
- •The later outcome so the firm can compare what was approved with what actually happened
- •The moment conditions changed enough to make the original call no longer defensible
Regret does not clear when metrics improve. It clears when the committee reconvenes and makes a new call. That is how real IC governance works. The ledger enforces it.
Investment Memory
Most firms preserve documents, not decision memory.
Investment Memory is the layer that keeps a decision chain intact over time. It links evidence, KPI lineage, scenario use, decisions, interventions, outputs, and outcomes so teams can reopen how an investment evolved instead of reconstructing it from files and memory.
- •Evidence — supporting documents, claims, and cited facts behind the investment case
- •KPI lineage — metrics and operating signals tied to those source materials and later updates
- •Scenario usage — downside cases and shock packs that changed the decision path
- •Decisions and interventions — paths considered, approved, executed, and later reviewed
- •Outputs and outcomes — IC memos, board artifacts, execution history, final result tied back to the same chain
Every time a team revisits an investment, they spend time rebuilding the context chain instead of inspecting the live history of what changed and why. Investment Memory keeps that chain queryable and reusable — across ownership changes, committee turnover, and quarterly rebuild cycles.
Scenario Engine
Most firms can name a macro risk. Far fewer can trace how that risk changes the decision in front of them.
Scenario Engine is the layer that turns pressure into a real decision test. It translates headline macro or operating risk into sector sensitivity, company exposure, covenant stress, and ranked downside impact instead of stopping at a scenario label.
- •Shock — start with a reusable macro or operating shock pack
- •Channel — map how that shock flows through financing, pricing, supply chain, occupancy, liquidity, or covenant channels
- •Industry sensitivity — weight exposure by sector, structure, and business model fragility
- •Company and covenant impact — surface where break order, headroom loss, or downside intensity appears first
- •Persistent run identity — the same downside state can be reopened later
Reusable shock packs instead of one-off spreadsheet branches. Cross-scenario fragility and break-order visibility. A direct handoff from scenario pressure into path selection and intervention planning.
Governance
Most firms separate analysis from reporting. Governance closes the drift.
Governance is the layer that turns a live decision record into board decks, IC memos, intervention reports, and replayable committee artifacts without rebuilding the story in separate tools. Its job is to keep the final output from drifting away from what the team actually saw and decided.
- •Board decks generated from current pressure, scenarios, and intervention state
- •IC memos that inherit decision context instead of rebuilding narrative from notes
- •Intervention reports tied to execution status and outcome movement
- •Replayable artifacts that can be reopened later with the full context chain intact
Cleaner auditability across approval and outcome. Less manual rebuild work every quarter. Stronger continuity from scenario pressure into committee output. Better institutional memory when leadership reviews what happened later.
Investment Decision Replay
The bridge from action to governance artifact to learning.
Investment Decision Replay is the mechanism that lets teams reopen how a decision actually moved. Every pressure signal, scenario, intervention, execution event, and outcome can be inspected as one continuous record. Not historical inspection — the operating surface for committee review and learning.
- •The signal or surveillance condition that triggered attention
- •The scenario context and downside case that framed the decision
- •The intervention path selected against that scenario pressure
- •The execution history showing what actually happened next
- •The final outcome so the firm can learn instead of relying on memory
Decisions stop disappearing into decks, notes, and inbox threads. Execution status stays tied to the original scenario and intervention logic. Board and IC materials inherit context from the same underlying record. Teams can compare what they expected with what actually happened.
Institutional Readiness Assessment
What a buyer's IC, a lender's credit committee, or an LP review team would actually flag — before they do.
The IRA grades a business across ten readiness areas — financial consistency, reporting maturity, KPI completeness, operational risk, stress tolerance, data integrity, governance, management responsiveness, key-person dependency, and customer concentration. Documents win over claims; the lowest area sets the composite. The output is a portable artifact a buyer or lender can verify independently at a public URL.
The ladder runs by evidence level, not feature tier. The $750 Self-Assessment is the operator-attested entry — same ten axes, same framework, same deterministic fingerprint, but graded on operator claims rather than documents. It carries a Self-Assessed band that cannot promote to Institutional Readiness Verified without document evidence behind it. The Self-Assessment fee credit-forwards 90 days into the next layer up — the Readiness Gap Review or the formal IRA — so operators who screen their own readiness do not pay twice for the same review surface.
- •A $750 operator-attested Self-Assessment as the ladder entry — same framework and fingerprint discipline, graded on claims rather than documents, with the fee credit-forwarding 90 days into the next evidence layer
- •A composite verdict in plain English — what's holding the business back from clearing institutional review
- •Named blockers ranked by severity, each with the evidence that would resolve it
- •A 10-axis grid showing exactly where each readiness area lands today
- •A standalone document export with a deterministic fingerprint a third party can verify
- •An expirable Institutional Readiness Verified status when the assessment meets all evidence-confirmed conditions
Owners preparing for sale, financing, or board review know what gets questioned before the questions arrive. Advisors and consultants attach an independent measurement layer to their engagements so the work is provable in evidence terms — not in opinion.
Lift Ledger
What moved between two evidence-backed snapshots — and what didn't.
The Lift Ledger groups Re-IRA delta into four measurement categories: institutional readiness, diligence friction, operating process, and financial movement. It reads in observation language, not attribution language — what changed between snapshots, where, and how the engine knows. It refuses to claim a consultant or AI workflow caused the change; that judgment belongs to the people who did the work.
- •Composite band movement, axes that improved or declined, and blockers that cleared or newly surfaced
- •Diligence friction removed and audiences the new evidence now satisfies
- •Operating cadence movement — response time, reporting maturity, KPI completeness, evidence completeness
- •Canonical financial KPI movement where comparable values exist on both sides — marked 'not observable' where they don't, never imputed
- •A locked causality note rendered before the outcome headline so every reader frames the artifact as observation, not attribution
Most modernization claims overstate what they can prove. The Lift Ledger understates on purpose — which is exactly why a board, lender, or future buyer will trust the artifact when an owner or partner hands it to them.
Portfolio Readiness Monitoring
Which companies are getting more or less institutionally durable during the hold period?
Portfolio Readiness Monitoring is the operating-team rollup view across every company in a portfolio that carries an active assessment. One row per company: composite verdict, gating-axis status, weakest area, blocker count, last review date, movement since the prior review. Sorted worst-first so attention-needed deals lead the table.
- •A live readiness picture across the portfolio without rebuilding it per quarter
- •Which companies are improving, stalling, or becoming harder to finance or exit
- •Gating-axis warnings when a foundational area falls below the threshold
- •Movement since the prior review so trend is visible without a separate analytics layer
- •Drill-in to any company's readiness detail with one click; loop back to the rollup with one click
Operating partners constantly need to answer: which companies need intervention, which are exit-ready, which have governance gaps, which management teams respond quickly, which value-creation initiatives actually moved measurable evidence. The rollup answers all of those without analytics theater.
The Lift Ledger, in plain terms.
Most modernization claims overstate what they can prove. The Lift Ledger understates on purpose. Four layers, each answering a different reviewer’s question, in observation language only — what moved between two evidence-backed snapshots, where, and how the engine knows.
Observed post-engagement movement. The Lift Ledger is an evidence-backed measurement of state change; it is not an attribution opinion about which interventions caused which changes. Causality belongs to the operator, the consultant, and the underlying business — the Ledger measures only what moved between snapshots, where, and how we know.
Eight features, one record, one deal at a time.
The fastest way to understand how the eight features interact is to see them on a real position. Bring us one deal — we'll show you the full chain end to end.