STREDGELAB flagship · Mergers & acquisitions

For buyers who cannot afford to learn after close.

The STREDGELAB Deal Reality Assurance Twin™ is the transaction decision-assurance layer between the data room and the board decision.

Request a Deal Reality Review The seven engines →

When to bring in the Twin · where the gap is widest

Competitive auction

Speed pressure against evidence.

Carve-out

Standalone reality unclear.

Cross-border

Governance, data, jurisdiction gaps.

Concentrated target

Founder or customer continuity is fragile.

Roll-up or platform

Repeatable integration risk.

Where M&A breaks

M&A breaks in the unknowns.

Deals rarely fail because one document was missing. They fail when weak evidence becomes price, fragile synergy becomes value, and integration risk is discovered after close.

01
Seller narrative diverges from verifiable evidence.
02
EBITDA does not convert into sustainable cash.
03
Hidden liabilities, dependencies and side agreements emerge late.
04
Synergy value is counted before feasibility and ownership are proven.
05
Integration destroys customers, talent or the capability being acquired.

STREDGELAB response: turn uncertainty into governed decisions, not post-close explanations.

The core concept

Five versions of the target.

The Twin quantifies the gap between the company being sold and the company the buyer will actually inherit. Each version carries its own risk, and the control that closes it.

Gap to inherited reality →Seller narrative

1
Presented
SELLER NARRATIVE
RiskNarrative unverified.
ControlRequire documentary support before it informs price.
2
Verified
RECONCILED EVIDENCE
RiskDocuments are not reality.
ControlReconcile against independent evidence.
3
Cash-adjusted
CASH & RISK ADJUSTED
RiskAccounting is not cash.
ControlNormalise to cash-adjusted contribution.
4
Standalone
WITHOUT THE SELLER'S GROUP
RiskStandalone is not inherited.
ControlModel integration effects and dis-synergies.
5
Inherited
POST-CLOSE REALITY
RiskValue assumed, not designed.
ControlIntegration blueprint, Day-1 controls, protected value corridor.

Decision rule

The bigger the gap, the stronger the required evidence, price protection and integration controls.

In money, that gap is the overpayment exposure. The value bridge below carries one illustrative target from presented earnings to supported value.

The Deal Value Engine, shown once

From presented earnings to supported value.

Presented EBITDA is normalised to cash, then translated into the value it actually supports. The gap between offer and supported value is the overpayment exposure.

SPECIMEN — ILLUSTRATIVE, NOT A REAL CLIENT ENGAGEMENT

A · Earnings quality (EBITDA, €m)

EBITDA €100m + add-backs €12m − cash conversion gap €42m = cash-adjusted €70m. Multiple held resistant at 10.0× to isolate earnings quality.

Show the underlying numbers

Line	€m
Presented	€100m
Add-backs	€12m
Cash gap	€-42m
Cash-adjusted	€70m

B · Value at 10.0× (€m)

Offer at 10.0× presented

€1,000m

Supported by cash-adjusted

€700m

Overpayment exposure

€300m before protections

Working: offer €1,000m − supported €700m = exposure €300m. Protections secured €150m, so the protected value corridor is €700m to €850m and residual exposure is €150m to €300m.

Show the underlying numbers

Line	€m
Offer at 10.0× presented	€1,000m
Supported by cash-adjusted	€700m
Overpayment exposure	€300m

Three connected environments

A closed loop, from diligence to learning.

Pre-deal reality assurance

Claims, evidence, EBITDA-to-cash, hidden exposure, protected value.

Integration & value realisation twin

Integration archetype, traps, customer / talent guardrails, realised benefits.

M&A Learning Fabric™

Outcome genome, deal replay, counterfactuals, transferable lessons.

→ every outcome feeds the next deal.

Built to decide, not just diligence

Seven deterministic engines.

Seven deterministic engines convert deal evidence into transaction posture, integration strategy and learning transfer.

Deal Reality Engine

Tests seller claims against evidence, contradictions and source quality.

Deal Value Engine

Normalises EBITDA into cash, calculates protected value and overpayment exposure.

Deal Protection Engine

Converts risks into price adjustments, conditions, holdbacks, earnouts or walk-away triggers.

Integration Strategy Engine

Selects integration archetype, depth, speed, preservation boundaries and Day 1 controls.

Value Realisation Engine

Tracks synergies, integration costs, dis-synergies, adoption and sustained value post-close.

Deal Learning Engine

Classifies success/failure signatures and determines which lessons are transferable.

Deal Replay Engine

Reconstructs the thesis, evidence, decisions, assumptions and outcomes to prevent hindsight bias.

Governed deal postures · the evidence resolves to a posture

01Small gap, evidence high→ Proceed to negotiation

02Gap bounded and protectable→ Proceed with protections

03Gap material in price-relevant areas→ Reprice or restructure

04Gap unresolved, evidence insufficient→ Pause for evidence

05Gap structural, integration destroys value→ Walk away recommended

AI can extract, compare and draft. It cannot calculate value, classify fraud, select posture or alter audit records.

What the Twin does not do

The Twin is decision-assurance, not a substitute. It does not replace legal, tax, or financial due diligence. It is not a fairness opinion and not a guarantee of outcome. Every posture it produces carries the evidence rung it rests on, so you can see exactly how much weight it bears.

The engagement

The Deal Reality Review.

A time-boxed, buy-side decision-assurance engagement, run between data-room access and the board decision. It does not replace legal, tax, or financial due diligence; it governs the decision they feed.

Inputs — what we need

✓Data-room access, or a defined subset.
✓The seller's claims: the information memorandum, management presentation, and the operating and synergy models.
✓The offer thesis: price, structure, and synergy assumptions.
✓A named deal owner and the decision date.

What runs — seven engines, three environments

✓Pre-deal reality assurance (Deal Reality, Deal Value, Deal Protection engines).
✓Integration & value realisation twin (Integration Strategy, Value Realisation engines).
✓M&A Learning Fabric™ (Deal Learning, Deal Replay engines).

Outputs — what you receive

✓A governed deal posture (one of five) with the evidence behind it.
✓The five-versions gap read, Presented to Inherited, with the widest gaps named.
✓A protected-value corridor and an overpayment-exposure estimate.
✓A price-and-structure protection set: conditions, holdbacks, earnouts, walk-away triggers.
✓An integration blueprint: archetype, depth, velocity, Day-1 controls, customer and talent guardrails.
✓A single page your investment committee can authorize against, built to the Board Authorization Canvas.

The Deal Reality Twin Deal Reality Twin, overview The Board Authorization Canvas

Timeline (indicative) — typically 2 to 4 weeks from data-room access to a board-ready output, depending on data-room readiness and scope.

Prefer to read first? The board-circulatable Twin overview, on one page. Twin overview · one page →

Request

Request a Deal Reality Review.

A short qualifier. We reply within one working day (indicative), buy-side only.

The message

The decision-assurance layer between the data room and the board.

✓Verify seller claims against evidence
✓Normalise earnings into sustainable cash
✓Quantify protected value and overpayment exposure
✓Design integration around value mechanics
✓Convert every deal outcome into governed learning

Request a Deal Reality Review All seven engines →