PathFinder AI
Intelligent incident prioritisation platform that uses explainable AI to score, correlate, and recommend actions on IT incidents. Built for UK SMEs who can't afford a 20-person NOC.
Triage Speed
85% faster
Noise Reduction
60%
Starting Price
£49/mo
Setup Time
< 5 min
The Problem
Every SME with more than a handful of services eventually hits the same wall: alert fatigue. Monitoring tools fire hundreds of alerts per week. Most are noise. But buried in that noise are the critical incidents that could take down your business. Without a 24/7 team, you either monitor everything (and burn out) or ignore most alerts (and miss the one that matters).
What We Saw Managing 4 Production Platforms
The Reality
- • 200+ alerts/week across our own platforms
- • 73% were informational or duplicates
- • 15% required investigation but no action
- • Only 12% were genuinely actionable incidents
- • Average triage time: 8-12 minutes per alert
The Cost
- • 15-20 hours/week spent on triage alone
- • P1 incidents missed because they looked like P3
- • On-call engineers burnt out after 3 months
- • No consistent scoring = inconsistent response
- • Enterprise tools like PagerDuty cost £600+/month
How We Built PathFinder AI
The Core Idea: Explainable AI Scoring
Instead of another dashboard that shows you everything, PathFinder AI tells you what matters and why. Every incident gets an AI-generated score (0-100) with a plain-English explanation: "Scored 87/100 because: database connection errors correlate with 3 previous P1 outages, affects payment processing service, occurred during peak hours."
Step 1: Ingest
Connect your monitoring tools (email alerts, Slack, webhooks, API). PathFinder AI ingests everything into a unified incident stream.
Step 2: Score
AI analyses each incident using 15+ signals: historical patterns, service criticality, time of day, blast radius, correlation with recent changes.
Step 3: Act
Get prioritised recommendations: auto-resolve noise, escalate P1s immediately, group related alerts into a single incident thread.
The AI Scoring Engine
Not a black box. Every score comes with a breakdown so your team understands why an incident was flagged as critical or dismissed as noise.
Signal Analysis
15+ weighted signals scored in real-time:
- ✓ Service criticality tier (revenue-impacting services score higher)
- ✓ Historical incident patterns (has this failed before?)
- ✓ Blast radius estimation (how many users/services affected?)
- ✓ Time correlation (peak hours vs maintenance windows)
- ✓ Change proximity (was anything deployed in the last 2 hours?)
Correlation Engine
Groups related alerts automatically:
- ✓ 5 "disk space low" alerts from same cluster → 1 incident
- ✓ API timeout + database slow query + CPU spike → correlated root cause
- ✓ Duplicate suppression (same alert fired 10 times in 2 minutes)
Recommendations
Actionable next steps, not just alerts:
- ✓ "Auto-resolved: CPU spike normalised after 3 minutes"
- ✓ "Escalate: Payment gateway timeout affecting checkout — similar to P1-2024-031"
- ✓ "Investigate: Unusual login pattern detected — possible credential compromise"
Core Features
Multi-Source Ingestion
Email, Slack, webhooks, PagerDuty, Opsgenie, ServiceNow, custom APIs
AI Severity Scoring
0-100 score with plain-English explanation for every incident
Alert Correlation
Automatically groups related alerts into single incident threads
Smart Escalation
Route P1s to on-call, suppress noise, auto-resolve transients
Team Dashboard
Real-time MTTR, incident volume, response times, team workload
Runbook Integration
Link runbooks to incident types for instant response guidance
Post-Incident Reports
Auto-generated timeline, impact analysis, and improvement suggestions
Custom Scoring Rules
Override AI defaults for your specific infrastructure and services
Shift Management
On-call schedules, rotation management, coverage gaps detection
SLA Tracking
Monitor response/resolution times against your SLA commitments
Mobile Alerts
Push notifications for P1/P2 with one-tap acknowledge
API & Webhooks
Full REST API for automation and custom integrations
How PathFinder AI Compares
| Feature | PathFinder AI | PagerDuty | Opsgenie |
|---|---|---|---|
| AI Incident Scoring | ✓ Explainable | Basic | ✗ |
| Alert Correlation | ✓ Automatic | ✓ Manual rules | ✓ Basic |
| Setup Time | < 5 minutes | 2-4 weeks | 1-2 weeks |
| Pricing (SME) | From £49/mo | From £600/mo | From £300/mo |
| UK Data Residency | ✓ | US-based | US-based |
| Explainable Recommendations | ✓ | ✗ | ✗ |
| No Enterprise Lock-in | ✓ Monthly | Annual contracts | Annual contracts |
Pricing
Starter
£49/mo
For small teams getting started
- ✓ Up to 500 alerts/month
- ✓ AI scoring & correlation
- ✓ 2 integrations
- ✓ Email + Slack notifications
- ✓ 30-day incident history
Professional
£149/mo
For growing operations teams
- ✓ Up to 5,000 alerts/month
- ✓ Advanced AI + custom rules
- ✓ Unlimited integrations
- ✓ On-call scheduling
- ✓ Post-incident reports
- ✓ 90-day history + analytics
- ✓ API access
Enterprise
Custom
For larger teams and MSPs
- ✓ Unlimited alerts
- ✓ Multi-tenant support
- ✓ SSO / SAML
- ✓ Dedicated account manager
- ✓ Custom SLA
- ✓ On-premise deployment option
Why We Built PathFinder AI
We needed it ourselves
Managing production platforms (FixFinder, BookAMechanic, Regulas) generating 200+ weekly alerts, we needed a way to separate signal from noise without hiring a 24/7 operations team.
Enterprise tools don't fit SMEs
PagerDuty and Opsgenie are designed for engineering teams of 50+. They cost £600+/month, require weeks of setup, and assume you have dedicated SRE staff. Most UK SMEs have 1-3 people managing IT alongside everything else.
AI should explain itself
"AI-powered" tools that just show a number aren't useful. If an incident scores 87/100, you need to know why. Our scoring model provides plain-English reasoning so your team can validate the AI's judgment and learn from it.
Technical Architecture
Stack
Frontend: Next.js 14, TypeScript, Tailwind CSS
Backend: Node.js / Express API
AI Engine: Custom scoring model (rule-based + ML hybrid)
Database: PostgreSQL with time-series extensions
Queue: Redis for real-time alert processing
Infrastructure: Docker, Traefik, automated CI/CD
Hosting: UK-based data centres
Design Principles
✓ Explainability over accuracy — every score has reasoning
✓ 5-minute setup — no consulting engagement needed
✓ SME-first pricing — no enterprise tax
✓ UK data residency — GDPR compliant by default
✓ Open integrations — works with what you already use
✓ Progressive complexity — start simple, add rules over time
Try PathFinder AI
Start your free trial today. No credit card required. Deploy in under 5 minutes.
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