AI OPERATIONS INTELLIGENCE

Operational intelligence for leaders who need signal, not noise.

Saranor turns operational data into executive readouts, KPI visibility, risk rankings, anomaly signals, workflow intelligence, and pilot-ready decision support for metric-driven teams.

Live API Demo Dataset Anomaly Screening Executive Readouts
Operational Health78/100
Top risk: Retention Queue - escalation pressure detected
AHT486s
CSAT82.7%
Resolution84.1%

Executive readout: risk is concentrated where handle time and escalation pressure overlap. Validate call drivers before staffing changes.

WHAT SARANOR BUILDS

Operational intelligence systems, not generic AI tools.

Saranor helps teams see operational health, detect performance risk, understand root-cause signals, and decide what to do next.

KPI Monitoring

Track operating metrics across teams, queues, service environments, production flows, and executive reporting cadences.

Anomaly Detection

Identify unusual operating patterns before they become missed targets, service issues, staffing surprises, or leadership escalations.

Executive Decision Support

Convert operational signals into concise readouts: what changed, where risk sits, why it matters, and what action to consider.

LIVE PROOF OF WORK

A working Operations Intelligence demo is live now.

The flagship contact-centre demo proves the operating model: structured data, deterministic KPI logic, statistical anomaly screening, risk scoring, and executive-grade output formatting.

Open Live Demo
FrontendNetlify
BackendRender / FastAPI
Data LayerDemo operations dataset
IntelligenceKPI logic + AI narrative
OPERATIONAL CONTEXTS

One intelligence architecture, adapted to each workflow.

The contact-centre system is the first live example. The same operating pattern can support service operations, healthcare access, ecommerce fulfillment, production performance, logistics SLA monitoring, and public-service queues.

Service Operations

Contact centres, support queues, escalation pressure, service quality, staffing signals, and coaching priorities.

Operational Reporting

Executive KPI visibility, exception summaries, weekly operating reviews, and leadership decision packets.

Workflow Intelligence

Workflow bottlenecks, handoff risk, backlog pressure, throughput health, and recurring process friction.

PILOT-READY OPERATING MODEL

How a Saranor pilot works.

1

Data Boundary

Define approved fields, anonymization rules, KPI definitions, and decision objectives before any build.

2

Controlled Build

Connect scoped data and implement metric logic, anomaly screening, reporting outputs, and workflow-specific readouts.

3

Leadership Review

Run a focused preview with managers, validate outputs, capture feedback, and tune thresholds.

4

Governed Rollout

Add authentication, monitoring, access controls, logging, and data handling terms before production use.

TRUST LAYER

Built for controlled pilots, not uncontrolled data exposure.

Saranor's public demo uses no client data. Real pilots require scoped data access, authentication, monitoring, rate limits, data handling terms, and a named operational owner.

  • No client data in public demo
  • Environment-managed backend configuration
  • Backend API separated from frontend
  • Governed pilot scope before client deployment

Ready to test operations intelligence against a real workflow?

Start with one focused pilot: contact-centre performance, operational reporting, KPI monitoring, anomaly detection, or executive decision support.

Discuss a Pilot