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Our approach

We trace where decisions lose their evidence.

The Korvai Intelligence Engineering Methodology™ (KIEM) is one method applied to two worlds: the data that runs projects, and the data that protects organizations. The goal is never more reporting — it is better decisions backed by information you can trust.

The premise

Most failures aren’t technology failures. They’re data failures.

The information that would have prevented the bad outcome almost always existed somewhere. It just lost its value on the way to the decision — in one of six ways.

missed

Important information was never captured, recorded, or escalated.

ignored

Information was available but not acted upon.

disconnected

Related information existed in separate places and was not connected.

untrusted

Data was doubted because of quality, credibility, inconsistency, or timing concerns.

unused

Data was collected or reported but not used in analysis or decision-making.

misclassified

Information was assigned the wrong status, severity, category, owner, or reporting treatment.

How it works

From raw data to trusted decision.

Data sources
Lifecycle stages
Data gaps
Intelligence lenses
Confidence score
AI reasoning
Decisions
Outcomes
The data lifecycle

Eight stages every piece of information passes through.

01

Create

Who or what generated the data — and was anything missed?

02

Transmit

How it moved — did it arrive, get delayed, or get altered?

03

Transform

How it was summarized or reclassified — was meaning lost?

04

Store

Where it lives — is it protected, accessible, complete?

05

Consume

Who actually used it — or ignored it?

06

Correlate

What it should connect to — where data becomes intelligence.

07

Govern

Ownership, retention, and compliance.

08

Decide & Act

The decision made — and the outcome it produced.

The signature measure

A confidence score for your intelligence.

Completeness, quality, trust, correlation, context, and timeliness combine into a single number — how much you should actually trust the picture in front of you.

Reported status

GREEN

Intelligence confidence

32%

Ten open risks, three slipped milestones, a key vendor leaving. The recommendation: this should be amber.

Two practices, one method

The same lens, pointed at two different worlds.

For project, program, portfolio & PMO leaders

Project & PMO Intelligence

Most project failures are information failures — risks ignored, dependencies uncorrelated, status untrusted. We trace where project data loses decision value between the work front and the steering committee.

See field observations
For physical + cyber security leaders

Converged Security Intelligence

Physical events, cyber telemetry, and business context sit in separate silos. We connect them into one trusted picture — so a badge swipe, a VPN login, and a vacation calendar can be read as a single signal.

Talk to us

Where does your data lose decision value?

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