Compound Signal Intelligence

Your measurement model
was calibrated
for a world that no longer exists.

Energy, logistics, and input costs are now activated by the same geopolitical signal — yet most enterprise planning still treats them as independent risks. The gap between what the model reads and what the environment is doing is where Q2 will be lost or won.

PHM Engine quantifies the compound variable the existing stack cannot produce. One sentence per decision: the named mechanism, the historical precedent, the preparation-window deadline. One flat licence. Unlimited deployments across the enterprise.

IMF · WEO April 2026 · 3.1% global growth
For the first time in the WEO’s modern history, the Fund published a “reference forecast” — declining to model the signal environment conventionally.
ECB · 30 April 2026 · held 2.00%
Cut 25bps on assumptions — energy normalisation, consumer recovery — that the signal environment has already moved past.
PHM Engine · Since March 2024
Has been mapping the specific transmission paths the institutions now acknowledge they cannot. Named signals. Named sources. Numbers that hold under scrutiny.

The war creates upside inflation risk and downside growth risk simultaneously. Standard planning models treat them as separate risks — so the P&L is exposed twice to a single signal. PHM reads the compound as the compound.

PHM Read Grounded in ECB Economic Bulletin · March 2026
01The gap PHM Engine fills

The planning stack has all the data. It cannot produce the sentence that matters.

Terminals, dashboards, and strategy decks describe the environment. What a CFO needs — before committing to an H2 number — is the transmission path from a named live signal to a specific P&L line, anchored in historical precedent, with a deadline on the window to act.

That is a single sentence. It is the sentence the existing stack does not produce, and the sentence PHM Engine was built to produce — for any function, against any model the board has already signed off on.

Market data
Bloomberg / Reuters
Signals and prices in real time. No transmission path to the client’s P&L line.
In-house view
Strategy team
Narrative and slide deck. Neither a named mechanism nor a preparation-window deadline.
Advisory engagement
Big Four / bulge bracket
Frameworks delivered in six weeks. By that point the signal environment has moved twice.
Internal measurement
FP&A / demand model
Ends at the company boundary. Does not read the customer’s balance sheet under stress.
PHM Engine · the compound read
One sentence. Routed to the decision-maker. Dated.
A specific transmission path from a named live signal to the P&L line — anchored in historical precedent, routed to the function that acts on it, and framed by a preparation-window deadline. The outside-in layer included as standard. The sentence the existing stack was never built to produce.
02Six documented sector cases · April 2026

The methodology applied.
Six sectors. Six functions.
One inherited intelligence layer.

Each case documents geopolitical signal as a measurable performance variable — named transmission mechanism, quantified P&L delta, calculable preparation window. Not a force-majeure caveat. A variable with an auditable path through the P&L, alongside the standard measurement the board already sees.

6
Sector cases
Case 01 · Germany · Manufacturing

Compound COGS

CFO · COO
StandardCOGS impact+4.2%
StandardEBITDA guidance€22.1M
PHMCompound COGS+9.7%
PHMEBITDA delta−€9.0M
Outside-in read
BMW and Stellantis procurement mandates block pass-through at the exact moment compound COGS arrives. Covenant at 3.1× — a breach scenario rather than a guidance revision. Compound factor: 2.3×.
Case 02 · UK · FMCG

The CPL signal event

CMO · CGO · CEO
StandardCPL +34% diagnosisCreative
StandardQ2 revenue plan€100.1M
PHMCorrect diagnosisSignal event
PHMQ2 delta−€17.0M
Outside-in read
DXY at 97.9 (pre-war level) is compressing EM purchasing power in UAE, South Africa and Brazil simultaneously. CPL rises across every channel — the signature of a demand-side shock, not a creative problem. €1.41M of avoidable waste separates the two diagnoses.
Case 03 · Europe · Financial Services

Compound correlation

CFO · CEO · CRO
StandardLoan loss provision€16.4M
StandardForecast confidence86%
PHMCompound provision€28.2M
PHMAUM under review€1.82B
Inherited intelligence
Reads from Cases 01–02 inherited: 68% of the lending book is in simultaneous stress. Cross-sector correlation is running 1.8–2.6× the assumption built into independent models. CET1 at 12.2% shifts the decision from provisioning to capital planning.
Case 04 · Netherlands · Renewable Energy

The beneficiary read

CGO · CEO · CFO
StandardCAGR target14%
StandardCapital in reserve€90M
PHMSignal-adjusted CAGR22–26%
PHMFour-year upside+€1,279M
Beneficiary read
Every compression company in Cases 01–03 is a demand signal for this business. 1,200+ industrial companies are at peak energy urgency at the same time. €90M held in reserve is capital destruction at an 18–19% IRR hurdle. Window to deploy: 18 months.
Case 05 · Singapore · APAC Industrial

Four directions, one group

CEO · CFO · CGO
StandardGroup-model viewOne number
StandardGrowth target+16%
PHMFour chains read4 directions
PHMCompound opportunity+SGD 308M
APAC insight
Every ASEAN factory win in Division 2 generates automation demand in Division 4 in Japan. SGD 128M of that flow sits in neither division’s pipeline and neither division’s model. Capital is misallocated whenever APAC is treated as a single number.
Case 06 · US · B2B SaaS

The pipeline freeze

CRO · CFO · CGO
StandardForecast confidence89%
StandardPipeline coverage3.2×
PHMAdjusted confidence54%
PHMPipeline at risk−$2.14M
Buyer-side signal
The manufacturing CFOs in Case 01 are the named buyers in this pipeline. Their compound-COGS freeze is the SaaS pipeline freeze. The CRM reads active; PHM reads frozen. NRR erodes at the 12-month mark. Total impact: −$1.8M vs plan.
How the compound factor is calculated

Five steps, auditable end to end.

Every case above is produced by the same five-step routine. The corpus is named, the signals are timestamped, and the preparation window is derived — not asserted. A CFO’s team can reproduce the delta from source documents alone.

Read the full methodology & corpus →
  1. 01
    Signal identification. A geopolitical event with a quantified transmission vector — sourced to named institutions and dated.
  2. 02
    Mechanism mapping. The specific path from signal to the P&L line, anchored in historical precedent from the corpus.
  3. 03
    Compound factor. Cross-sector correlation quantified against the independence assumption in the standard model.
  4. 04
    Window derivation. Preparation deadline calculated from signal velocity and the client’s decision cycle.
  5. 05
    Outside-in layer. Customer, regulator, and counterparty reads added — so the model does not stop at the company boundary.
One conversation

A diagnostic that ends with a number.

Bring the measurement model the board is acting on. We read it against the live signal environment and return the compound delta it cannot see — with the named mechanism, the named source, and the preparation-window deadline attached.

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30 minutes · Under NDA · No obligation