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AWS MARKETPLACE COMING Q2 2026 · PATENT PENDING

AI Incident Commander
for SRE, Production Support & DevOps Teams — Reduce MTTR by 70%

From alert to resolution in under 30 seconds. AI-powered root cause analysis, automated diagnostics, and intelligent remediation. Prevent revenue loss through faster incident response.

Watch 90-Second Demo → Book Live Walkthrough
See it work: Real AWS + Kafka alerts → Tech-specific diagnostics in under 30 seconds
15min
Saved per incident
<30s
Context to on-call
Zero
Runbook hunting
aic-prod · live triage · payments-svc
16:42:01 [ALERT] payments-svc error rate 45%
16:42:01 [AIC] Incident received → triaging...
16:42:02 [SEV] Classified → P1 · auto-execute: ON
16:42:03 [DIAG] ECS tasks: 2/4 healthy ↓
16:42:04 [DIAG] RDS connections: 487/500 ⚠
16:42:05 [DIAG] CloudWatch: CPU 94% sustained
16:42:06 [BLAST] fraud-svc · checkout-svc affected
16:42:07 [RAG] Matched incident #INC-2847 (RDS)
16:42:08 [SLACK] Triage card → #incidents ✓
16:42:09 [DONE] Complete in 8.2s · on-call notified
Built for
✓ SRE, Production Support & DevOps Teams
✓ Regulated Industries
✓ Multi-Stack Support (AWS, Kafka, PostgreSQL, Redis)
✓ SOC2-Ready Architecture
✓ Multi-Tenant Isolation
✓ Reduce MTTR by 70%
✓ Patent Pending
// Business impact

Faster resolution.
Fewer escalations. Better reliability.

70%
MTTR reduction — from 40-minute manual incident response to <30 seconds autonomous resolution
$500K+
Revenue loss prevented annually through faster incident response (mid-market companies)
10x
More incidents handled with zero additional headcount — scale without hiring
<30s
From alert to resolution — AI triage, automated diagnostics, intelligent remediation
// The moment for autonomous triage

Why now?

76%
of organizations report MTTR getting worse, not better, year over year
— 2025 State of Incident Response survey
3.2×
more alerts per on-call engineer than five years ago — alert fatigue is the new normal
— Industry benchmarks, 2020 → 2025
$336K
average cost per hour of downtime in financial services — every minute of triage matters
— ITIC Global Survey 2024

The old playbook is breaking. AI triage is the only way forward.

For two decades, incident response has meant the same three steps: alert → human reads → human investigates. That model worked when you had 50 alerts a week. It doesn't work at 500.

Observability tools gave us more signal. On-call platforms gave us better paging. Neither solved the real bottleneck: a human still has to read, understand, and investigate every single alert before they can act.

Agentic AI changes that math. AIC reads the alert, maps the blast radius, runs the diagnostics, checks the runbooks, and delivers a complete briefing — before the engineer has finished reading the Slack or Teams notification.

OpsGenie sunsets April 2027. Enterprises are already evaluating replacements. The smart ones aren't looking for another notification tool — they're looking for autonomous triage. The window to modernize your incident response is now.

// Platform agnostic

Works With Your Entire Stack

AIC automatically detects your technology stack and generates platform-specific diagnostics — not just AWS.

AWS Services

ECS, Lambda, RDS, ALB, VPC, CloudWatch, Security Groups, Route53

Databases

PostgreSQL, MySQL, Redis, DynamoDB, MongoDB, ElastiCache

Messaging

Kafka, RabbitMQ, SQS, SNS, Kinesis, EventBridge

Containers

ECS Fargate, Kubernetes, Docker, EKS, ECR

Auto-detection: AIC reads your alert description, identifies the technology stack, and generates tech-specific diagnostic commands. Kafka lag checks, PostgreSQL connection pools, Redis memory stats — no configuration needed.

// Real output · Slack and Microsoft Teams integration

What your team sees in Slack or Teams

Every triage produces a structured card with AI summary, blast radius analysis, auto-executed AWS diagnostics, and one-click remediation actions — delivered to Slack, Microsoft Teams, or both in under 30 seconds.

# incidents
AI
AI Incident Commander APP 12:57 PM
P1 INCIDENT — APPROVAL REQUIRED
Alert:Payment processing error rate elevated
Severity:P1
Risk Level:HIGH
Approval ID:8a3f91bc
🤖 AI Summary:
P1 revenue-impacting incident. Payments service experiencing 45% error rate for 8 minutes. fraud-svc latency causing cascading timeouts across payment authorization flow.
Blast Radius:
• Primary: payments-svc
• Downstream: checkout-api order-svc fraud-svc ledger-svc
• User Impact: ~40% of checkout flows affected — payment processing degraded
Proposed Action:
Scale ECS payments-svc on prod-cluster: 2 → 4 tasks
Reversible: ✅  |  Risk: HIGH
# incidents
AI
AI Incident Commander APP 12:58 PM
[P1] AI Incident Triage — SHADOW MODE
Alert:Payment processing error rate elevated
Severity:P1
Confidence:85%
Incident ID:inc-a1b2c3d4
Affected:payments-svc, fraud-svc
🧠 Root Cause Hypothesis:
fraud-svc latency causing cascading timeouts in payments-svc. 45% of payment transactions failing.
💥 Blast Radius:
• Primary: payments-svc fraud-svc
• Impact: 45% of customer payments failing (~$12K/min revenue loss)
• Duration: 8 minutes sustained
# incidents
AI
AI Incident Commander APP 12:58 PM
🔍 AUTO-EXECUTED DIAGNOSTICS — ✅ 2 pass · ❌ 1 fail · ⚠️ 1 warn
✅ Check AWS Health for regional outages affecting payments 87ms
aws health describe-events --filter eventStatusCodes=open --region us-east-1
Actual: No active AWS health events in us-east-1 — regional outage ruled out. Issue is service-specific.
❌ Confirm payments-svc CPU and error rates 44ms
aws cloudwatch get-metric-statistics --namespace AWS/ECS --metric-name CPUUtilization --dimensions Name=ServiceName,Value=payments-svc Name=ClusterName,Value=prod-cluster --period 60 --statistics Average,Maximum --region us-east-1
Actual: CPUUtilization Average=94.3% Maximum=98.7% — CPU critically elevated. Service under severe load, likely causing request timeouts and cascading failures to fraud-svc dependency.
✅ Check ECS service task health and running count 108ms
aws ecs describe-services --cluster prod-cluster --services payments-svc --region us-east-1
Actual: service=payments-svc status=ACTIVE running=2 desired=4 pending=0
⚠️ Check ALB target health for payments-svc 52ms
aws elbv2 describe-target-health --target-group-arn arn:aws:elasticloadbalancing:us-east-1:123456789012:targetgroup/payments-svc/tg-0a1b2c3d4e5f6789
Actual: 2 targets healthy, 2 targets draining — target group degraded. Healthy threshold not met. ALB routing traffic to reduced capacity.
# incidents
AI
AI Incident Commander APP 12:59 PM
🔧 REMEDIATION STEPS (pending approval)
🔧 1. Increase ECS task count to reduce per-task load
aws ecs update-service --cluster prod-cluster --service payments-svc --desired-count 4 --region us-east-1
🔧 2. Force restart of payments-svc tasks to clear hung connections
aws ecs update-service --cluster prod-cluster --service payments-svc --force-new-deployment --region us-east-1
🔧 3. Drain and rebalance queue to retry failed transactions
aws sqs purge-queue --queue-url https://sqs.us-east-1.amazonaws.com/123456789012/payments-svc-queue
// How it works

Alert to resolution in under 30 seconds

From alert ingestion to executed AWS diagnostics — fully autonomous. Here's what happens when an incident fires in your production environment:

AI Incident Commander - Complete Architecture: Alert Sources, 11-Step Pipeline, and Outputs

What makes AIC different:

Every step runs autonomously in your AWS VPC. No human in the loop until Slack delivers the complete briefing. Your on-call engineer gets root cause analysis, blast radius mapping, and real AWS diagnostic output — not just an alert. P0/P1 incidents require approval. P2/P3 incidents auto-remediate with DRY_RUN safety checks.

See AIC triage a real incident — right now
Fire a sample AWS alert. Watch AIC classify severity, run diagnostics, and deliver a complete triage card to Slack in under 30 seconds. No signup. No install.
Watch 90-Second Demo →
Real alerts. Real AWS commands. Real Slack cards.
// Product demo

Watch AIC detect AWS vs Kafka and generate stack-specific commands

Silent demo showing 3-window workflow: Terminal fires alerts → Live Monitor shows 12-stage AI pipeline → Slack receives triage cards with tech-specific diagnostics

Watch the flow: Terminal (left) fires production alerts → Live Monitor (center) shows AIC's 12-stage pipeline processing in real-time: Alert Ingested → Tenant Auth → Dedup → RAG Retrieval → Claude Triage → Blast Radius → Tech-Aware Commands → Auto Diagnostics → Network Reachability → Slack/Teams Notification → Self Learning. Slack workspace (right) receives fully-triaged incident cards in under 30 seconds.

Key insight: Notice how AIC generates different commands for different technologies — AWS ECS alerts get aws ecs commands, Kafka alerts get kafka-consumer-groups.sh commands. AIC detects the stack automatically. No configuration needed.

Book a live demo with your AWS environment →
// Why AIC?

Not just another alert aggregator

Traditional tools forward alerts or manage workflows. AIC solves the actual incident — autonomously.

🔔 Alert Aggregators
Forward alerts from monitoring tools. Suggest which alerts might be related. Your engineer still does the work.
❌ No root cause analysis
❌ No blast radius mapping
❌ No auto-executed diagnostics
❌ Generic suggestions only
📋 Workflow Platforms
Workflow automation for incident management. Great for tracking incidents. Doesn't tell you what's broken.
❌ No technical triage
❌ No AWS diagnostics
❌ Manual runbook lookup
❌ Process, not analysis
🧠 AI Incident Commander
Autonomous incident analysis. Root cause, blast radius, real AWS diagnostics with actual output. Your engineer arrives with answers.
✅ AI triage in <30 seconds
✅ Auto-executed AWS diagnostics
✅ Tech-aware commands (Kafka, Java, SAP)
✅ Self-learning from past incidents
The difference: We don't just notify your team. We solve the incident for them.
Built for teams managing AWS at scale — where 3 AM pages need answers, not workflows.
// What you get

Stop hunting for answers.
Get root cause + fix in seconds.

Know what to fix first — in seconds
P0 or P3? AIC tells you in under 30 seconds. Maintenance windows and dedup logic filter noise. Your team gets precisely the right alerts at the right severity.
Skip the investigation. Get answers instantly.
Real AWS diagnostics auto-executed — ECS task health, RDS connections, CloudWatch metrics, VPC reachability. Actual command output in Slack, not suggestions to run.
See what else is breaking before users notice
Auto-mapped service dependencies from live traffic — no manual config. Every incident teaches AIC your topology. Downstream impact identified in seconds.
Every incident makes AIC smarter about your systems
Vector database learns from every triage. New alerts compared against historical resolutions. Gets better with every incident — no retraining, no ML team required.
Context delivered to your team — instantly
Rich Slack/Teams cards with severity, blast radius, diagnostic output, and runbook links. Routable to channels by priority. Your on-call arrives with answers.
Multi-Tenant Isolation
Strict tenant isolation at every layer — API key, database query, and data store. Designed for MSPs and enterprise teams managing multiple environments.

Integrates with your existing stack

AWS CloudWatch
AWS EventBridge
AWS ECS
AWS RDS
AWS Bedrock
Slack
Microsoft Teams
PagerDuty
Catchpoint
Splunk
AWS SNS
CloudTrail
VPC Reachability
AWS SES
// Competitive advantage

AIC vs traditional observability & alerting platforms

Capability AIC On-Call Platforms Observability Tools ITSM Platforms
Autonomous incident triage ✓ Full Alert routing only Detection only Ticket creation
Real AWS diagnostic execution ✓ Native ✗ Metrics only ✗
Self-learning blast radius mapping ✓ Auto-discovered ✗ Service map (static) ✗
Self-learning from incident history ✓ Built-in RAG Limited Limited Manual KB
AWS Marketplace deployment ✓ Native ✗ ✗ ✗
VPC private deployment ✓ Available ✗ Partial ✗
Flat monthly pricing ✓ No per-seat Per seat / per user Per host / per GB Per agent
Built for regulated industries ✓ Core focus General purpose General purpose Partial
// Free Trial

Start free. No credit card required.

Try AIC for 30 days with full platform access. See autonomous triage in action before committing.

30-DAY FREE TRIAL
Full Platform Access
$0
for 30 days · up to 500 incidents
  • Autonomous P0–P3 triage
  • Real AWS diagnostics executed automatically
  • Slack or Microsoft Teams notifications
  • Self-learning RAG (historical incident analysis)
  • Blast radius detection
  • Dependency learning
  • Multi-tenant isolation
  • Email support (24-48 hour response)
Start Free Trial →
After trial: Contact us for custom pricing based on your incident volume · No per-seat fees · Cancel anytime
// Built for AWS Marketplace buyers

Procurement-ready. Deployed in minutes.

Everything your infrastructure, security, and procurement teams need to approve AIC — consolidated in one place.

🚀 LAUNCHING ON AWS MARKETPLACE Q2 2026
Pre-register for early access — email us for priority onboarding.
// Deployment
Enterprise deployment guide included
Deploy AIC into your own VPC with our detailed deployment guide. Includes ECS cluster setup, RDS (Multi-AZ), Redis, ALB configuration, and IAM roles with least-privilege access. Full deployment support included.
// Infrastructure
ECR image · pre-built containers
Container images hosted in Amazon ECR. Customers deploy via ECS in their own VPC with full infrastructure control. No data flows through AIC infrastructure in VPC mode.
// Billing
AWS Marketplace billing
Charges appear on your existing AWS invoice — no new vendor setup, no procurement paperwork. Uses committed AWS spend credits. Private offers available for enterprise terms.
// Support model
Tiered support with uptime targets
Professional tier: Target 99.5% uptime, 4-hour P1 response.
Enterprise tier: Target 99.9% uptime, 1-hour P1 response, dedicated Slack channel, quarterly business reviews, security team escalation path.
// Private offers
Custom terms for enterprise
Volume discounts, multi-year commitments, custom SLAs, extended payment terms, and flexible billing options. Submit your AWS account ID and we'll send a private offer within 24 hours.
// Procurement
MSA templates + security docs ready
Master Service Agreement, DPA, and security whitepaper available on request. AWS Marketplace EULA acceptable for most buyers. Our legal team responds to redlines within 5 business days.

Need more details for your security or procurement team?

Request Buyers Kit
// FAQ

Common questions

How does AIC complement our existing alerting stack?
AIC works alongside your existing on-call and observability platforms — it doesn't replace them. Where your current tools detect anomalies and route alerts, AIC adds an autonomous triage layer that investigates, diagnoses, and delivers a complete resolution briefing to your team before they begin manual investigation. Think of AIC as giving your engineers a fully prepared incident brief the moment they pick up an alert.
Does AIC work with our existing monitoring and alerting tools?
Yes. AIC ingests webhooks from on-call platforms, observability tools, and monitoring systems via standard HTTP webhooks. You don't need to replace your existing alerting infrastructure — AIC sits alongside it as the autonomous triage and investigation layer that enriches every alert with full diagnostic context before your team engages.
Is 30 seconds realistic for enterprise-scale incidents?
Yes. The 30-second figure is for the full triage cycle: alert ingestion → severity classification → AWS diagnostic execution → blast radius detection → RAG historical matching → Slack/Teams card delivery. We've validated this consistently in production across P0 through P3 incidents. The actual diagnostic execution time varies by incident complexity, but the structured card is always delivered within 30 seconds.
How does AIC handle P0 critical incidents?
P0 incidents trigger an approval gate by default — AIC performs full triage and diagnostics, posts the card, and notifies on-call via Slack, Teams, and SES email simultaneously. Auto-remediation for P0 requires explicit approval. P1/P2/P3 incidents are handled fully autonomously. All thresholds are configurable via the Admin Config API without redeployment.
Can AIC be deployed in our private VPC?
Yes. Enterprise plan customers receive a CloudFormation template that deploys AIC entirely within your AWS VPC — no data leaves your environment. The template provisions ECS, RDS (PostgreSQL + pgvector), Redis, ALB, and all supporting infrastructure. Deployment takes under 15 minutes.
What AWS services does AIC diagnostic runner cover?
AIC currently executes diagnostics for ECS (task health, service status), RDS (connection counts, Multi-AZ status, failover), CloudWatch (metrics, alarms), VPC Reachability Analyzer, CloudTrail (recent API activity), and EC2 (security groups, network interfaces). Coverage expands based on customer requirements.

Give your engineers the context
they need, instantly.

Book a 30-minute live demo and see AIC deliver a complete incident briefing in your AWS environment.

Book a Demo → info@incidentai.io
aws Available on AWS Marketplace
Patent Pending · U.S. App. No. 64/033,032
SOC2-Ready Architecture
Production Validated