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Now Generally Available — v2.0 Agentic RAG

The AI Platform for
Autonomous IT Operations

StackFlow combines Agentic Cognitive Graph RAG, Graph Intelligence CMDB, and StackFlow AI Engine to deliver autonomous IT operations — resolving incidents before humans even see them.

Powered by Anthropic Claude
AWS Bedrock
Amazon Neptune Graph
★★★★★ 4.9/5 on G2
0%
Cloud Cost Savings
0%
3-Year ROI
0%
Tickets Eliminated
2.4M
Signals / min

Agentic Cognitive Graph RAG

Your autonomous IT workforce

ChangeAgent, IncidentAgent, and KnowledgeAgent work in concert — correlating 2.4M signals per minute across your live Neptune graph CMDB and resolving incidents end-to-end, without human intervention.

Active — Processing 247 incidents

IncidentAgent

Autonomously triages, correlates, and resolves incidents. Traverses the knowledge graph to find root cause, applies proven runbooks, and closes tickets — all within minutes.

60%
Auto-resolution
4.2m
Avg resolution time
65%
MTTR improvement
<90s
MTTD
Powered by Claude Sonnet · StackFlow AI Engine
Active — 12 changes queued

ChangeAgent

Evaluates change risk against the CMDB graph, predicts blast radius, schedules optimal deployment windows, and automatically rolls back if anomalies are detected post-change.

72%
Fewer failures
68%
Auto-approval rate
99.8%
Rollback success
Live
Blast radius
Powered by Claude Opus · StackFlow AI Engine
Active — Indexing knowledge base

KnowledgeAgent

Continuously indexes runbooks, KB articles, past incidents, and documentation. Surfaces contextually relevant solutions for every ticket — learning and improving continuously.

96%
Retrieval accuracy
<200ms
Query latency p95
Docs indexed
RAG
Architecture
Powered by Claude Haiku · StackFlow AI Engine

Architecture

Ingest → Graph → Reason → Act

Four stages of autonomous intelligence — from raw signal to resolved incident, without human intervention.

1. Ingest

2.4M signals/min from alerts, logs, metrics & cloud events

2. Graph

Signals mapped to Neptune graph CMDB — 100K+ nodes

3. Reason

Claude AI traverses graph with RAG — context-aware resolution

4. Act

Agents execute remediation, update CMDB, close tickets

Why StackFlow

Not legacy. Not bolt-on. AI-native.

Traditional ITSM was built for humans. StackFlow was built for AI — then made to work beautifully for humans.

Capability ServiceNow BMC Helix ⚡ StackFlow
AI ticket routing✗ Add-on ($$$)~ Limited Native · 98% accuracy
Autonomous resolution✗ Not available✗ Not available 60% of all tickets
Knowledge Graph CMDB✗ Flat relational~ Partial Graph Intelligence
Agentic AI✗ None✗ None 3 autonomous agents
Deployment time✗ 6–18 months✗ 9–12 months 4 weeks avg
Cloud cost optimization✗ Not included✗ Not included 40% avg reduction
Annual cost (mid-market)✗ $500K–$5M+✗ $300K–$2M 70–85% less

500+ Integrations

⚡ Jira 💬 Slack 📌 PagerDuty 🔍 Datadog ☁ AWS ☁ Microsoft Azure ☁ Google Cloud 📊 Splunk 🔧 ServiceNow 📈 Dynatrace 🔒 CrowdStrike ⚡ Jira 💬 Slack 📌 PagerDuty 🔍 Datadog ☁ AWS ☁ Microsoft Azure ☁ Google Cloud 📊 Splunk 🔧 ServiceNow 📈 Dynatrace 🔒 CrowdStrike

Real-World Results

Deployed in 4 weeks. ROI in 90 days.

The average StackFlow enterprise customer sees $2.3M in annualized savings within the first year.

0%
3-Year ROI
Forrester TEI
4 wks
Average Deployment Time
vs 6–18 months legacy
0%
Faster Mean Time to Resolve
avg across deployments
$2.3M
Avg Annual Savings
per enterprise customer

Start in 4 weeks

Ready to see autonomous IT in action?

Book a 30-minute live demo — watch StackFlow resolve a real incident, end to end, with no human intervention.

Book Live Demo Calculate ROI →
4-week deployment
No implementation fee
SOC 2 Type II certified
ROI guaranteed in 90 days