See How aurintai Works

From deployment to autonomous resolution โ€” explore the dashboards, agent lifecycles, and interfaces that power sovereign AI operations.

<4 min
Mean Time to RCA
85%
MTTR Reduction
94%
False-Positive Reduction
24/7
Agent Coverage

From Deployment to Autonomous Resolution

Five steps to full agentic operations โ€” deployed in your environment, governed by your policies, controlled by your operators.

1

Deploy

Install the self-contained stack in your infrastructure. Connect to your AI factory. Define policies as code.

2

Discover & Baseline

Autonomous Discovery Agents map your topology. Dynamic Baseline Agents learn normal behavior. FMEA Agents identify risks.

3

Correlate & Orchestrate

A2A agents detect anomalies, pull DevOps context from GitHub/Jira/ServiceNow/Confluence, and assess blast radius.

4

Inspect & Control

Operators inspect every reasoning step in real time. Override any decision. Approve or reject remediation actions.

5

Resolve & Improve

Incidents resolved autonomously or with AI assistance. Deployments tracked in real time. DORA metrics improve continuously.

Agent Trace Transparency

Every agent decision is timestamped, scored, and inspectable. See exactly how aurintai reached a conclusion โ€” with confidence scores at every step, not black-box outputs.

Live Trace
TRACE-ID: aur-7f3a-9d2e-001
Payment API Latency Incident
๐Ÿ”
Discovery Agent 14:23:01.042 โ— 98.4% confidence
Anomaly detected in payment-api-prod โ€” latency spike to 2.4s (baseline: 180ms, ฯƒ: 45ms). Deviation exceeds 3-sigma threshold. 847 requests affected in last 90s.
service: payment-api region: us-east-1 severity: P1 affected: 847 req
๐Ÿ”—
Correlation Agent 14:23:03.891 โ— 96.7% confidence
Cross-referenced 14 signal sources. Strong correlation with GitHub commit a3f7d2e merged 11 minutes ago. Deployment pipeline deploy-2026-08-03-1412 shows schema mismatch warning.
commit: a3f7d2e blast-radius: 3 services correlation: 0.96 author: @sarah.chen
๐Ÿง 
Knowledge Agent 14:23:04.215 โ— 87.2% confidence
Retrieved similar incident #INC-4421 from 3 months ago. Same service, same symptom pattern (latency spike post-deployment). Root cause: missing index on new table. Resolution: rollback + hotfix. Historical MTTR: 23 minutes.
incident: INC-4421 similarity: 91% historical-mttr: 23m resolution: rollback
โš–๏ธ
Policy Engine 14:23:05.003 โ— 100% confidence
Evaluated against Policy #PAY-001 (Payment Service Critical Path). Remediation action ROLLBACK_COMMIT requires human approval per policy. Auto-approval threshold: 95% confidence + blast-radius โ‰ค 2 services. Current: 96.7% confidence, 3 services โ€” approval required.
policy: PAY-001 action: approval-required threshold: 95% blast-radius: 3 svcs
๐Ÿ› ๏ธ
Remediation Agent 14:23:15.447 โ— 99.1% confidence
Operator Raj P. approved via Slack at 14:23:08. Executed runbook RB-17: rollback commit a3f7d2e โ†’ restart pod pool โ†’ verify health checks. Latency normalized to 165ms at 14:23:14. Incident auto-closed. Total resolution time: 3m 42s.
runbook: RB-17 resolved: 3m 42s final-latency: 165ms operator: Raj P.

See Everything. Control Everything.

Real-time visibility into every agent, every incident, and every decision โ€” with transparent reasoning traces you can inspect at any moment.

MTTR (24h)
3m 42s
โ†“ 85% from baseline
Active Agents
24
โ†‘ 4 new today
Pending Approvals
3
โ†‘ 2 since 14:00
Live Reasoning Trace โ€” Payment API Incident
14:23:01[Discovery Agent] Anomaly detected: Payment API latency spike to 2.4s (baseline: 180ms)
14:23:03[Correlation Agent] Linked to GitHub commit a3f7d2 merged 11 min ago
14:23:04[Knowledge Agent] Found similar incident #INC-4421 resolved 3 months ago
14:23:05[Policy Engine] Evaluated against Policy #PAY-001 โ€” Approval required for payment service remediation
14:23:06[Remediation Agent] Proposed runbook RB-17: Rollback commit a3f7d2, restart pod pool
14:23:08[Operator: Raj P.] Approved remediation via Slack
14:23:15[Remediation Agent] Executed rollback. Latency normalized to 165ms
14:23:16[FMEA Agent] Updated risk assessment: schema validation gate recommended
Open Incidents
7
โ†“ 12 resolved today
DORA โ€” Deploy Freq
12/day
โ†‘ 3ร— improvement

Alert Highlights โ€” Last 4 Weeks

AI-powered trend analysis surfaces the signals that matter โ€” so you fix patterns, not just symptoms.

Volume Spike

payment-gateway-timeout

Alert volume increased by +2,054% in the last 4 weeks. Correlated with new checkout flow deployment.

365
โ†‘ 2,054%
Time Saved

ci-build-step-failure

Mean time to resolution decreased by 85% after autonomous remediation agent was enabled for pipeline failures.

3m 42s
โ†“ 85%
Emerging Pattern

database-lock-contention

New failure mode identified by FMEA Agent. 47% of incidents share this root cause. Preventive action recommended.

47%
โ†‘ Trending

Autonomous Agents, Human Direction

Specialized AI agents handle the full operational lifecycle โ€” from detection through resolution โ€” with humans directing strategy and approving high-impact actions at every step.

๐Ÿ””

Intelligent Triage & Detection

Discovery and Baseline agents continuously map your topology and learn normal behavior patterns. When anomalies surface, Correlation Agents instantly pull DevOps context โ€” commits, deployments, tickets โ€” to enrich every alert with actionable intelligence before it reaches a human. 94% of false positives filtered automatically.

๐Ÿค

Collaborative Incident Resolution

Analysis Agents and Remediation Agents work alongside your engineers in real time. They handle log correlation, blast-radius assessment, and runbook execution while operators inspect transparent reasoning traces, validate hypotheses, and approve or override any action through the unified control center. RCA in under 4 minutes.

๐Ÿ›ก๏ธ

Proactive Risk Prevention

FMEA Agents scan your infrastructure continuously for failure modes โ€” not quarterly, not monthly, but every hour. They calculate Risk Priority Numbers, recommend preventive actions, and auto-implement low-risk fixes within your Policy-as-Code guardrails. Your operations improve while you sleep. 85% MTTR reduction achieved.

Augmented SRE โ€” Where Your Team Already Works

No new tabs. No context switching. Just @aurintai-sre in Slack โ€” instant diagnosis, one-click approvals, and full reasoning transparency in every channel.

#
#incidents-2026
3 members active ยท aurintai-sre bot
Today
RP
Raj Patel 2:23 PM
@aurintai-sre payment API latency is spiking โ€” seeing 2.4s response times. Can you investigate?
๐Ÿค–
aurintai-sre โ— APP 2:23 PM
On it. Running autonomous investigation across 14 signal sources...
๐Ÿ” Investigation Complete โ€” 3.2s
Anomaly confirmed in payment-api-prod (us-east-1). Latency: 2.4s (baseline: 180ms). 847 requests affected. Strong correlation with commit a3f7d2e merged 11 min ago.
Confidence
96.7%
Blast Radius
3 services
Similar Incident
#INC-4421
RP
Raj Patel 2:23 PM
Approved. Go ahead with the rollback.
๐Ÿค–
aurintai-sre โ— APP 2:23 PM
Executing runbook RB-17... โœ… Rollback complete. Pod pool restarted. Health checks passing.
โœ… Resolved โ€” 3m 42s
Latency normalized to 165ms. Incident auto-closed. FMEA Agent updated risk assessment.
Final Latency
165ms
MTTR
3m 42s
RCA Time
<4 min
Later
SC
Sarah Chen 4:15 PM
@aurintai-sre why did the cache hit rate drop on the recommendation service?
๐Ÿค–
aurintai-sre โ— APP 4:15 PM
Cache hit rate dropped from 94% to 61% starting at 3:42 PM. Root cause: Redis eviction policy switched from allkeys-lru to volatile-ttl during the last config push. 23% of hot keys evicted. Recommended fix: revert policy + increase maxmemory.

On-Call Designed for Humans โ€” Powered by Agents

Traditional on-call burns out engineers with noisy alerts, contextless pages, and 3 AM war rooms. aurintai changes the equation: agents handle triage and investigation, so humans only get paged when judgment is actually needed.

Effortless scheduling across time zones. AI-powered noise reduction that cuts false alerts by 94%. And when a real incident hits, your on-call engineer arrives with a full root-cause brief in under 4 minutes, proposed remediation, and one-click approval โ€” not a blinking dashboard and a prayer.

โœ“
Agent-first triage โ€” AI investigates before paging humans
โœ“
Smart escalation โ€” Priority-aware, time-aware routing to the right expert
โœ“
Calendar sync โ€” HR system import, holiday feeds, out-of-office awareness
โœ“
Burnout prevention โ€” AI workload analysis and fair rotation balancing
Weekly On-Call Schedule
Mon
๐Ÿค– Discovery + Baseline Agents Auto
Tue
๐Ÿค– FMEA + Correlation Agents Auto
Wed
๐Ÿค– Agents + ๐Ÿ‘ค Sarah Chen (SRE Lead) Hybrid
Thu
๐Ÿค– Agents + ๐Ÿ‘ค Marcus Webb (Platform) Hybrid
Fri
๐Ÿ‘ค Priya Sharma (On-Call) + ๐Ÿค– Agents standby Human-led
Sat
๐Ÿค– Full Agent Coverage Auto
Sun
๐Ÿค– Full Agent Coverage Auto
Agent-led
Human-led
Hybrid

Bring Your Own Stack

aurintai connects to the tools you already use โ€” no rip-and-replace required. Plug into your existing observability, ticketing, communication, and cloud infrastructure in minutes.

๐Ÿ“Š

Observability

Metrics, logs, and traces from any source

Datadog Grafana Prometheus CloudWatch Splunk New Relic
๐ŸŽซ

Ticketing & ITSM

Sync incidents, changes, and CMDB data

ServiceNow Jira PagerDuty Opsgenie Zendesk
๐Ÿ’ฌ

Communication

Native chatops and notification routing

Slack Teams Discord Webex Mattermost
โ˜๏ธ

Cloud & Infrastructure

Multi-cloud resource discovery and control

AWS Azure GCP Kubernetes Terraform OpenShift
๐Ÿ”ง

DevOps & CI/CD

Pipeline context and deployment tracking

GitHub GitLab Bitbucket Jenkins CircleCI ArgoCD
๐Ÿ—„๏ธ

Data & Storage

Database health and query performance

PostgreSQL MySQL MongoDB Redis Elasticsearch Kafka
๐Ÿ”

Security & IAM

Identity, access, and compliance signals

Okta Azure AD CrowdStrike Wiz Lacework
๐Ÿค–

AI & LLM

Connect your own AI factory and models

OpenAI Anthropic Azure OpenAI Bedrock Vertex AI vLLM

Don't see your tool? Our universal webhook and API framework connects to anything with an endpoint.

Request an Integration

Control From Any Device

Approve actions, inspect reasoning, and manage incidents from your phone, tablet, or desktop โ€” without compromising security or control.

2:23 PM
System Health
98.7%
โš ๏ธ Action Required
Payment API latency spike detected. Correlation Agent linked to commit a3f7d2. Remediation proposed.
Active Agents
D
C
R
+3
MTTR Today
3m 42s โ†“85%
Dashboard
Agents
Alerts
Profile
Control Center
Active Incidents
7
Resolved Today
23
D
Discovery Agent
Mapping topology โ€” 8,412 services
Running
C
Correlation Agent
Analyzing 3 active incidents
Running
R
Remediation Agent
Waiting for approval โ€” PAY-API
Pending
2:24 PM
Reasoning Trace
Discovery Agent
Anomaly: Payment API latency 2.4s (baseline 180ms)
Correlation Agent
Linked to commit a3f7d2 merged 11 min ago
Policy Engine
Policy PAY-001: Approval required
Action Required
Rollback commit a3f7d2, restart pod pool
Dashboard
Agents
Traces
Profile

See aurintai in Action

Get a personalized walkthrough of the platform โ€” from agent deployment to your first autonomous resolution. See how RCA in under 4 minutes and 85% MTTR reduction become your new normal.

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