Context is knowing how a change anywhere can alter the economics of a specific customer commitment.

PulseIQ combines internal enterprise evidence with credible external signals, resolves the entities involved, traces dependencies to customer commitments and carries the evidence chain into economic exposure, governed decisions and verified outcomes.

Bring one business problem See the External Intelligence Moat

Three substrates

Knowledge + Expertise + Norms turn signals into governed business context.

A data model is not enough. PulseIQ adds entity relationships, industrial consequence and explicit truth boundaries so neither internal anomalies nor external alerts become unexplained AI claims.

What the business means

Knowledge

Customer, supplier, order, line, material, product, project and commitment semantics

Relationships across CRM, CPQ, ERP, PLM, engineering, supply, production, shipment and finance

External entity identity, source provenance, confidence, freshness and evidence classification

Economic definitions for revenue, margin, delivery, LD and cash exposure

How consequence propagates

Expertise

Industrial recovery playbooks for engineering, material, supplier, production, quality and schedule risk

External signal → entity resolution → dependency propagation → affected commitment

Decision memory: recommendation, customer decision, rationale, action and outcome evidence

Evidence-weighted patterns that strengthen only through comparable governed cases

What is allowed

Norms

Approved read-only source access and explicit customer-production authorization

Tenant isolation, source lineage and customer-owned decision authority

External evidence cannot create financial exposure without governed enterprise correlation

Independent verification before observed benefit can become verified economic value

Customer-commitment graph

The graph follows the outcome, not the application landscape.

PulseIQ compiles only the governed relationships needed to answer the question: external legal entity / customer / supplier → enterprise entity → material / PO / order / project → customer commitment → economic consequence → decision → outcome.

Existing semantic catalogs, master-data services and enterprise context layers can remain in place. PulseIQ consumes certified context where available and adds the commitment/economic decision layer.

Why external intelligence is different here

The signal is evidence. The dependency is the moat.

Supplier bankruptcy, customer distress, sanctions, logistics disruption or weather are valuable only after the correct entity is resolved and the event is connected to the enterprise dependencies that can affect a customer promise.

No dependency path → no customer-specific economic claim.

The governed chain

From outside-world change to verified customer outcome without breaking the evidence trail.

Internal evidence

External signal

Entity resolution

Commitment impact

Economic consequence

Decision & verified outcome

Value truth

Exposure is not realised value.

Modeled exposure, potential protectable value, observed outcome and independently verified attributable benefit remain distinct states. External signals cannot bypass that boundary.

Human authority

PulseIQ recommends. Customer leadership decides.

Read-only enterprise access. No autonomous consequential execution. Customer-production activation requires explicit approval, tenant isolation and an auditable rollback path.

From signal to consequence

Bring a customer, supplier or operational risk. PulseIQ traces what it can actually affect.

See PulseIQ on the problem