METHODOLOGY

A governed path from operating question to trusted intelligence.

Saranor pilots are designed to prove whether an intelligence system can improve visibility, risk detection, and executive decision support before broader production rollout.

PILOT METHOD

Four phases, one contained operating workflow.

The process keeps scope clear, data exposure controlled, and leadership feedback built into every step.

1

Scope the Decision

Define the workflow, metric family, operating owner, and management decision the pilot must support.

2

Set the Data Boundary

Confirm approved fields, anonymization needs, KPI definitions, risk logic, and access constraints before build.

3

Build the Intelligence Layer

Implement KPI monitoring, anomaly screening, risk ranking, and executive output around the agreed workflow.

4

Validate With Leadership

Review outputs with decision-makers, tune thresholds, capture feedback, and decide whether rollout is justified.

WHAT LEADERSHIP GETS

A pilot should produce evidence, not just a prototype.

Decision Context

A clear view of which operating decision the system supports, who owns it, and what signal matters.

Trusted Metrics

Defined KPI logic, threshold assumptions, anomaly criteria, and reviewable outputs that leaders can challenge.

Rollout Criteria

A practical recommendation on whether to expand, tune, pause, or productionize the intelligence layer.

CONTROLLED BY DESIGN

Governance is part of the methodology, not an afterthought.

Public demos use prepared data only. Client pilots require scoped access, clear ownership, monitoring expectations, and data handling terms before production use.

  • Workflow and data boundary agreed upfront
  • KPI logic reviewed with operating owners
  • Executive output validated before scale
  • Production readiness assessed after pilot proof

Ready to define a focused pilot?

Bring one workflow, one data source, and one leadership decision that needs clearer operating signal.

Discuss a Pilot