How it works

From operational chaos to prescriptive clarity.

A five-step pipeline that runs continuously — designed for enterprises where documentation rarely matches reality.

Step 01 — Inputs

Structured or unstructured. PointGuard Labs ingests everything.

You don't need a perfect data warehouse. PointGuard Labs meets your operations where they live today.

APIs & systems
CRM, ITSM, data warehouse, ERP
PDFs & SOPs
Policies, playbooks, contracts
Drives & wikis
Drive, SharePoint, Confluence, Notion
Chat & email
Slack, Teams, Outlook, Gmail
Calls & transcripts
Gong, Loom, contact center recordings
Hyperlinks & exports
CSV dumps, ticket exports, screenshots
01Universal Ingestion

Universal Ingestion

Pull from APIs, upload from drives, drop in documents, or paste a hyperlink. PointGuard Labs works with structured systems and unstructured environments — without forcing migration.

  • 200+ enterprise connectors
  • Drag-and-drop document ingest
  • Streaming + batch
  • OCR + transcription built-in
Salesforce
Drive
Slack
PDF SOPs
Zendesk
Gong
SharePoint
CSV
Webhook
Normalized Operational Layer
02Operational Mapping Engine

Operational Mapping Engine

Extracts workflows, identifies actors, maps dependencies, detects decision points, and reconstructs customer journeys — including processes that were never documented.

  • Actor & dependency extraction
  • Decision-point detection
  • Shadow process inference
  • Living operational graph
POLICYPRACTICEDETECTED CONTRADICTIONS · 4
03Continuous Analysis

Continuous Analysis

Eight detection primitives run continuously across the graph — surfacing drift, contradictions, escalation loops, sentiment collapse, AI hallucinations, and compliance gaps.

  • Workflow drift
  • Contradiction patterns
  • Escalation loops & bottlenecks
  • AI behavior anomalies
Refund SOP contradiction
47% of EMEA tickets
Cancel flow drift
8.2K accounts affected
Sentiment collapse · Onboarding
−14 NPS
Shadow refund path discovered
312 traces
04Root Cause Intelligence

Root Cause Intelligence

Every signal is traced to its origin: what broke, where, why, who's impacted, the business risk, and the downstream consequences if left unresolved.

  • Causal trace per incident
  • Impacted teams & accounts
  • Business risk quantification
  • Urgency scoring
ROOT CAUSE TRACE
01Policy update PG-2401 deployed
02Agent macro #R-118 not refreshed
03Tier-1 fallback to legacy script
04Refund SLA breach across EMEA
Business impact$420K MRR exposure
05Prescriptive Actions

Prescriptive Actions

PointGuard Labs recommends exact next moves — the SOP edit, the workflow redesign, the AI retraining, the staffing intervention — ranked by operational and financial impact.

  • SOP & macro updates
  • Workflow redesign suggestions
  • AI prompt / fine-tune guidance
  • Compliance remediation playbooks
Update macro #R-118 to reflect PG-2401Ops
Closes 47% of escalations
Re-train Retention AI on golden corpus v3ML
Tone σ → baseline
Roll back onboarding policy changePM
+14 NPS forecast

See how your operations actually run.

A 30-minute working session on your real workflows. No integrations required to start. Pilots run under NDA.

Request a private deployment

We use your information solely to coordinate the demo. No marketing list, no resale.