THE MISSING ENTERPRISE DATA LAYER

Turn what’s happening on the ground into operational intelligence.

Thousands of people across an enterprise continuously generate signals that enterprise systems do not capture. Human Signal adds this missing human layer to the data the organisation already has.

THE COMPUTER KNOWSwhat was recorded.
+
THE HUMANS KNOWwhat actually happened.
=
HUMAN SIGNALconnects the two.

01 · CAPTURE

Make it easier to speak than to stay silent.

Employees should not become data-entry clerks. Talk or type naturally. AI carries the burden of structuring the signal.

No categories. No long form. Just say what happened.Demo runs locally.

02 · STRUCTURE

Human experience becomes operational evidence.

Preserve what the person actually said. Structure it without pretending the complaint is already proven truth.

RAW HUMAN SIGNALHS-4821
“Every Monday I spend almost two hours matching supplier invoices against purchase orders because their descriptions never match ours.”
Finance OperationsCaptured just nowIdentity withheldHuman observation
AI→
STRUCTURED EVIDENCEUNVALIDATED
Human input is evidence, not automatically truth.
A complaint tells us what someone experienced. It does not automatically prove root cause.

03 · PATTERN

One complaint is anecdote. Repeated signals become something to investigate.

Synthetic demo signals show what happens when many employees describe the same friction in different words.

EMERGING SIGNAL CLUSTER

47
related Human Signals
The same operational pain is appearing across Finance and Procurement.
This tells us the experience is recurring. It still does not tell us the cause.

What keeps showing up

Manual matching / re-entry31
Supplier description mismatch23
Supplier product ID / SKU issue19
Standardisation suggestions11

04 · SYNTHESISE

Add the human layer to enterprise data.

Enterprise data captures the event. Human Signal adds the experience around it. Synthesise both to understand what matters and what to do next.

HUMAN SIGNAL LAYER
47
experience, context & clues
  • Manual matching is repeatedly reported
  • Supplier descriptions / IDs recur across teams
  • Employees independently suggest standardisation
+
ENTERPRISE DATA LAYER
3.4×
recorded events & outcomes
  • Invoices from unmapped suppliers take longer
  • Exceptions concentrate in seven suppliers
  • Mapped suppliers process materially faster
OPERATIONAL INTELLIGENCE
Enterprise data shows what happened. Human Signal adds context and clues about why.

Are a small number of supplier-data relationships creating a disproportionate share of reconciliation work?

The question changes from: “Finance is spending too much time on manual invoice reconciliation.”

05 · ACTION

Feedback only becomes valuable when it changes something.

Human Signal closes the loop: investigate the hypothesis, intervene, and measure whether the work actually became easier.

RECOMMENDED INVESTIGATION

Validate supplier product-ID mapping during onboarding.

Start with the seven unmapped suppliers whose invoices show longer processing time and higher exception rates.

HUMAN EVIDENCE47 signals
SYSTEM EVIDENCE7 suppliers
STATUSHypothesis

CAPTURE → STRUCTURE → PATTERN → SYNTHESISE → ACTION → MEASURE → NEW SIGNAL

Turn what people experience into data the organisation can act on.