Built on PlantoOS

Decision Intelligence

Operational insight and anomaly detection with transparent reasoning and governed analytics.

Why operational decisions lack clarity

  • Operational data is siloed across systems, preventing unified visibility into business outcomes.
  • Leaders get dashboards, but limited reasoning on why trends change.
  • Anomalies are detected late, after impact has already spread.
  • Analytics workflows often ignore policy constraints and governance requirements.

What Decision Intelligence provides

Operational insight generation

Transform workflow and telemetry streams into executive-ready insights.

Decision Intelligenceoperations
active

Insight Dashboard

Operational intelligence · Last 30 days

Throughput

+14%

Escalation Rate

-9%

Cost Drift

+3.1%

Insight Feed

InsightSeverityTrend
Queue pressure concentrated in West regionMedium↑ 12%
Resolution speed improved after policy update v3Low↓ 8%
High-value accounts need weekend support coverageHigh↑ 22%

Coverage

Teams12
Workflows847
Data points24k
Window30d

Model

Enginegpt-4o
ConfidenceHigh

Decision reasoning visibility

Expose recommendation logic for transparent leadership decisions.

Decision Intelligenceoperations
active

Reasoning Chain

Full decision transparency for leadership review

Decision Steps

1
Detected SLA breach pattern across 3 teamsDetection
2
Linked breach windows to staffing varianceCorrelation
3
Simulated staffing shift and projected recoverySimulation
4
Recommend temporary on-call overlay for 2 weeksRecommendation

Confidence

91%

Based on 847 historical runs

Evidence

Data sources3
Simulations1
Pattern match94%

Historical pattern intuition

Detect recurring business patterns from long-term operational history.

Decision Intelligenceoperations
active

Historical Patterns

12-month operational trend analysis

Throughput Trend

JanJunDec

Recurring Pattern

Month-end approval spike — 3x avg volume

Correlation Found

Delayed vendor responses → escalation chain

Analysis

Patterns8
Correlations3
Anomalies2
Period12 months

Governed analytics

Respect enterprise data policies while producing actionable intelligence.

Decision Intelligenceoperations
active

Governed Analytics

Policy-bounded intelligence — analytics-v3 enforced

Guardrail Status

RulePolicyStatus
PII columns masked in all viewsdata-privacy-v1compliant
Role-based data scope activerbac-v3compliant
Anomaly alerts require dual confirmationalert-policy-v2compliant
Incident reporting SLAcompliance-v4review

Enforcement Summary

0 critical violations in current 30-day window. 1 rule flagged for review.

Policy Pack

Versionv3.0
Rules4
Violations0

Policy-bound agents

Capability enforcement ensures autonomous systems operate within explicit boundaries.

Governance Flow

Policy-bound agent execution ensures autonomous systems operate within boundaries.

Policy Layer
Agents
Capability Policies
Approved Tools
Enterprise Systems
Denied — policy block

Autonomous systems require explicit boundaries.

Where it sits in the stack

PlantoOS Architecture

The stack relationship between apps, agents, runtime, and systems.

Applications

Products and workflows

Agents

LLM-powered autonomous units

PlantoOS Runtime

Execution · orchestration · control

Capability Layer

Policy enforcement and tool access

Medhara Core

Memory · governance · lineage

Enterprise + Public Systems

Databases, APIs, infrastructure

A new compute layer for systems operated by agents.

Key workflows

How data flows through the system in typical usage patterns.

Workflow 1

Input

Continuous operational signals

Core Process

Aggregates historical and live workflow intelligence

Output

Actionable insight summaries for leaders

Workflow 2

Input

Anomaly pattern detected

Core Process

Evaluates decision context and impact trajectory

Output

Prioritized recommendations with explanation

Workflow 3

Input

Decision review request

Core Process

Traces recommendations to data, policies, and prior outcomes

Output

Transparent reasoning with governance evidence

Measured outcomes

↑ 20–35%

Decision response speed

↓ 25–40%

Time to anomaly detection

↑ 15–30%

Leadership decision confidence

Indicative ranges from internal benchmarks and early deployments; results vary by workload, model, and infrastructure.

How it integrates

SDK-first integration — governed from the first line of code.

1

Connect telemetry

Ingest workflow and operational data streams

2

Define thresholds

Set anomaly and policy boundaries by domain

3

Deliver insights

Route recommendations to leadership workflows