Autonomous SRE

When your $200K engineer is restarting pods at 2 AM, you have a platform problem.

Aizen fixes it before they're paged. Detects, diagnoses, and resolves production incidents in under 5 minutes. No more switching between five tools. No more "here's a hypothesis, good luck."

Book a 30-min call → How it works

A night your team knows too well

One expired certificate.
Two hours. Six engineers.

This happens 50–100 times a year at the average enterprise. The same failures, the same fixes, the same war rooms. The runbook exists. But at 2 AM, nobody remembers, and nobody coordinates.

2:47 AM

Database latency spike. Alerts fire across 3 monitoring tools simultaneously.

2:48 AM

6 engineers paged across 3 time zones. War room opens.

3:15 AM

Still jumping between Datadog, Splunk, Kubernetes. Nobody knows what changed.

3:40 AM

Senior SRE wakes up. Manually checks deploy history.

4:12 AM

Found it. One expired certificate.

4:47 AM

Fixed. This had happened before.

Cost: 2 hours · 6 engineers · 3 time zones disrupted · ~$400K–$10M depending on industry

The cost of downtime

Every minute offline has a line-item price.

Hourly downtime cost varies significantly by company size and industry. The numbers below come from public industry research.

Mid-market enterprise

$200K–500K

per hour

500–5,000 employees · SaaS, tech, e-commerce, insurance

Large enterprise

$1M–5M+

per hour

Retail, healthcare, manufacturing, government, media

Banking & fintech

$5M+

per hour

Financial services, payments, trading platforms

Sources: ITIC 2024 Hourly Cost of Downtime Survey (1,000+ firms) · Gartner 2024 · Siemens True Cost of Downtime 2024

The three problems Aizen solves

Stop switching tools. Start resolving incidents.

01 · Unification

Stop juggling five tools.

Datadog. Splunk. PagerDuty. K8s. Slack. Runbooks in Confluence. Aizen replaces the juggling with a unified workflow. Your SREs stop context-switching and start resolving.

02 · Resolution

Diagnosis isn't enough.

Every AIOps tool detects and correlates. None of them push the fix button. Aizen does. Autonomously for low-risk actions, single-click approval for high-risk. Always with rollback.

03 · Visibility

Everyone sees what they need.

Engineers get unified telemetry. Leadership gets incident cost in dollars, not graphs. Customers get an honest, real-time status page. No more waiting for a post-mortem to know what happened.

The core insight

~0%

of production incidents are repeated: the same failure, the same fix. Your engineers have solved these before. The runbook exists. The remaining 20%, novel and high-risk, stay with your engineers, with full AI-generated context to help them move faster.

0%+

Built to resolve, without human intervention

0%+

Of mid-size & large enterprises report $300K+/hr downtime cost

ITIC 2024

Audit trail on every autonomous action

How Aizen works

From signal to resolution — without humans.

Observe

Aizen ingests logs, metrics, traces, and deployment events from Datadog, Splunk, Prometheus, CloudWatch. No new instrumentation. No agents. No code changes.

Diagnose

Builds causal incident graphs from service dependencies and deployment history. Root cause in under 5 minutes. Versus 30–45 minutes of manual context stitching today.

Fix

Pre-approved runbooks execute via K8s API, Terraform, cloud CLIs. Low-risk actions run autonomously. High-risk surface to your engineer with full context. Rollback on every action.

Learn

Automated postmortems. Runbook suggestions for novel incidents. Model accuracy improves with every resolution. The system gets smarter the longer it runs.

Where Aizen goes further

Everyone investigates. Fewer act. Almost none report.

The category solved detection and diagnosis in 2026. The open ground is how much runs without a human, and who can read the result.

Capability	AI SRE platforms PagerDuty · Datadog · Dynatrace Resolve AI · Cleric	Aizen
Detect and correlate across tools	✓	✓
Causal graph, incident linked to services	✓	✓
Propose a remediation	✓	✓
Executes unattended on low-risk actions	SOME	✓
Verifies the fix actually worked	SOME	✓
Incident cost in dollars, for leadership	✗	✓
Customer-facing status, auto-updated	✗	✓
Rollback and audit trail on every action	✓	✓

SOME = varies by vendor and by action class · Capabilities as publicly documented, August 2026

Visibility · for everyone who needs it

Engineers see signals. Leaders see dollars.
Customers see honesty.

Most platforms give one dashboard for everyone. Aizen gives each audience the view they actually need, without an engineer manually translating between them.

For SRE & Platform engineers

Unified incident view

· Logs, metrics, traces in one pane
· Causal graph for every incident
· Deploy history correlated
· Auto-generated runbooks
· Single-click rollback

For Engineering & Business leaders

Cost & impact, in plain English

· $ of revenue at risk, live
· MTTR trends over time
· Top 5 recurring incidents
· On-call hours reclaimed
· Board-ready monthly report

For your customers

Honest, real-time status

· Auto-updated status page
· Affected services & regions
· Plain-English explanations
· Real ETAs, not "investigating"
· No more silent outages

Why Aizen exists

The pattern repeats at every enterprise.

Aizen was built by engineers who led SRE and platform teams, and watched the same pattern play out at every company they worked with.

Buy a new monitoring tool. Then another. Then an AIOps layer on top to "correlate." Every quarter the toolchain grows. The dashboards multiply. The alert noise gets worse. And when something actually breaks at 2 AM, the best engineers still spend the first thirty minutes figuring out where to look, not fixing the problem.

Incident response is where AI stops short. It hands an engineer a hypothesis and walks away. That gap is where the 2 AM pages live, and it is where Aizen plays.

Why now. Agents are writing production code faster than any team can review it. Google's DORA research finds AI adoption correlates with a measurable rise in code instability, and telemetry across 22,000 developers puts incidents per pull request up more than threefold. The volume went up. The number of engineers on call did not.

A team that recovers in thirty minutes but faces three times the incidents doesn't have an MTTR problem. It has a capacity problem — and capacity is the one thing you can't hire your way out of fast enough.

Aizen has been pressure-tested with SRE leaders at Meta, NVIDIA, IBM, HP, Chase, Intuit, Palo Alto Networks, Yahoo, eBay, and Tangoe. Their feedback hardened the design choices that matter most: rollback on every action, read-only ingest, no data egress, single-click human override for high-risk fixes.

Design partner program

Be one of three design partners this quarter.

Help shape what Aizen becomes. Get results first. Early participants get preferential pricing and direct roadmap input. We're onboarding three teams this quarter. Teams who want to stop solving the same incidents twice.

What you need

1 platform engineer · 5 hrs/week · Read access to Datadog and PagerDuty · No code changes

What you get

30–50% MTTR reduction · 60%+ incidents automated · Executive dashboard · Full ROI report (design partner goal, 90-day eval)

Next step

30-minute technical deep-dive with your platform team. No commitment required.

Book a 30-min call →

Or email hello@aizenops.ai

When your $200K engineer is restarting pods at 2 AM, you have a platform problem.

One expired certificate.
Two hours. Six engineers.

Every minute offline has a line-item price.

Stop switching tools. Start resolving incidents.

Stop juggling five tools.

Diagnosis isn't enough.

Everyone sees what they need.

From signal to resolution — without humans.

Observe

Diagnose

Fix

Learn

Everyone investigates. Fewer act. Almost none report.

Engineers see signals. Leaders see dollars.
Customers see honesty.

Unified incident view

Cost & impact, in plain English

Honest, real-time status

Aizen sits on top of your existing stack.

Built for environments that can't tolerate risk.

The pattern repeats at every enterprise.

Be one of three design partners this quarter.

What we're learning, written down.

When your $200K engineer is restarting pods at 2 AM, you have a platform problem.

One expired certificate.Two hours. Six engineers.

Every minute offline has a line-item price.

Stop switching tools. Start resolving incidents.

Stop juggling five tools.

Diagnosis isn't enough.

Everyone sees what they need.

From signal to resolution — without humans.

Observe

Diagnose

Fix

Learn

Everyone investigates. Fewer act. Almost none report.

Engineers see signals. Leaders see dollars.Customers see honesty.

Unified incident view

Cost & impact, in plain English

Honest, real-time status

Aizen sits on top of your existing stack.

Built for environments that can't tolerate risk.

The pattern repeats at every enterprise.

Be one of three design partners this quarter.

What we're learning, written down.

One expired certificate.
Two hours. Six engineers.

Engineers see signals. Leaders see dollars.
Customers see honesty.