Sentinel AI ★ Flagship Intelligence Layer

The autonomous brain of
enterprise operations.
It resolves, not just alerts.

Sentinel AI is the intelligence core of Ops Singularity. It observes every system at once, investigates the root cause, acts to resolve, and verifies the fix, from a routine alert to the most complex cross-platform failure, and never sleeps.

Connects to All Public Clouds SIEM Platforms Monitoring Dashboards ITSM & Collaboration Tools
Four Intelligence Modules

One AI. Four superpowers.

Sentinel is the brain. Around it, four intelligence components work in concert, automatically and continuously: it detects and orchestrates, assists, executes, and verifies.

Orchestrator
Federated, cross-platform detection. Correlates signals no single tool sees into one incident, then orchestrates the response across every system and pillar.
Cross-platform Federated detection Correlation Orchestration
Copilot
A conversational AI partner for any operator. Investigate, query and command your entire operation in natural language, with the full incident context already loaded.
NL Queries Chat-driven ops Context-aware
ProcBot
Governed autonomous execution. Runs the fix through structured MOPs and runbooks exactly, every action reversible and audited, halting automatically if a safety threshold is breached.
MOP execution Reversible Audited
Sherlock
Validation and root cause. Confirms every fix actually resolved the incident, pins down the true root cause, and watches for recurrence, so resolutions are real, not assumed.
Auto-RCA Fix validation Recurrence watch
Module 01 - Orchestrator

Cross-platform detection. Orchestrated response.

What does the Orchestrator do?

When signals fire anywhere, the Orchestrator pulls logs, traces, metrics and ITSM data from every platform in parallel and correlates them into a single incident, catching problems that span systems and that no siloed tool sees. It generates a root cause analysis, then either executes a pre-approved Method of Procedure (MOP) through ProcBot or coordinates the right response across the estate, eliminating the manual triage that traditionally consumes engineering hours.

Signal Correlation Across All Sources Ingests logs, metrics, traces, topology, and SIEM alerts simultaneously. No siloed views - one unified incident picture.
AI-Generated Root Cause Analysis Produces a human-readable RCA report in minutes - with contributing factors, affected services, blast radius, and recommended fix.
Auto-Resolve or Escalate with Context Known patterns are resolved autonomously. Novel incidents are escalated to an engineer with full context pre-loaded - no investigation from scratch.
Incident Memory & Pattern Learning Every resolved incident trains Sentinel's pattern library. Resolution time improves continuously with each ops cycle.
Most
Auto-resolution rate
Minutes
Time to RCA
Lower
Reduction in MTTR
INC-2891 - CPU Spike
INC-2890
INC-2891 · CPU Spike - api-gateway-prod
Opened 4m ago · Severity: Critical · Auto-investigating
Auto-RCA Complete
O
Observe

CPU: 94% · p99 latency 1,240ms · Error rate 8.2% · 3 pods in CrashLoopBackOff

AI Correlated 12 signals
I
Investigate

Traced to /checkout endpoint - 3x DB query spike from 10.2.1.5. Missing index on orders.created_at causing full table scans.

Root cause identified
A
Act

Executing MOP-042: DB Index Repair. Pod count scaled from 3→6. Index creation queued. ETA 3 min.

✓ Auto-executing
Z
Optimize

Adding query pattern to index monitoring ruleset. Alert threshold adjusted. Runbook updated with this resolution.

Time to RCA
3m 42s
↓ vs manual triage
Module 02 - Copilot

An AI partner for every operator. Always ready.

Natural Language Operations Queries Ask "Why is checkout latency high?" and get a real answer backed by actual traces, logs, and metrics - not generic guidance.
Full Context Retention Across Sessions Copilot remembers the full investigation history. Picks up exactly where you left off - including previous hypotheses and discarded paths.
Command Execution via Conversation Say "Scale checkout pods to 6" or "Trigger MOP-042" and Sentinel will execute with a confirmation step. No CLI switching.
Cross-Pillar Intelligence Copilot draws from Service Ops, Infra Ops, Security Ops simultaneously - surfacing connections a human would miss across siloed tools.
Lower
Reduction in investigation time
Zero
Tool-switching during investigation
Many
Data sources unified
Copilot - Investigation
CONTEXT
INC-2891 · api-gateway-prod · CPU 94% · Latency 1.2s
SRE
Which endpoint is causing the CPU spike?
S
/checkout is responsible for 78% of CPU load. Traced to 3 DB calls per request on orders table. Missing index on created_at triggering full table scans.
SELECT * FROM orders WHERE created_at > ? -- 48,000 rows scanned per call (no index) -- Fix: CREATE INDEX idx_orders_created ON orders(created_at)
SRE
Is there a runbook for this? Run it.
S
Yes - MOP-042: DB Index Repair. 5 steps, ~3 min total. Ready to execute. Confirm to proceed?
✓ Confirm
Review Steps
S
MOP-042 executing. Step 1/5 complete ✓ - index creation queued. CPU trending down to 71%. I'll alert when resolved.
Ask Sentinel anything…
Module 03 - ProcBot

Governed execution. Every runbook, run exactly.

What is a Method of Procedure (MOP)?

A Method of Procedure (MOP) is a structured, step-by-step runbook that encodes how to resolve a specific IT incident. In Ops Singularity, ProcBot stores, versions, and executes MOPs, running each step exactly, reversibly and audited, converting tribal knowledge into repeatable procedures that trigger autonomously or on approval, without manual investigation.

Procedure Authoring & Versioning Build structured runbooks with conditional branches, safety checks, and rollback steps. Full version history with change tracking.
Autonomous Execution ProcBot follows each MOP step exactly - Ansible playbooks, shell commands, output checks - halting automatically if a safety threshold is breached.
Triggered by Incident Intelligence MOPs are automatically matched and triggered by Sentinel's incident engine - no human has to decide which runbook to use.
Post-Execution Learning Loop Each MOP execution is logged and analyzed. Sentinel suggests improvements, optimizes step order, and updates procedures based on outcomes.
Full
Procedural consistency
Most
Ticket automation rate
Zero
Knowledge lost to attrition
MOP-042 - DB Index Repair
MOP-042: DB Index Repair
Category: Data Ops · Avg. duration: 3m 12s · Success rate: 98.4%
Running 2/5
Triggered by
INC-2891 · CPU spike traced to missing DB index · Sentinel auto-matched
1
Identify slow query pattern
Run EXPLAIN ANALYZE on top CPU queries · Flag missing indexes
Done
2
Create index on identified column
CREATE INDEX CONCURRENTLY - non-blocking on prod
Running…
3
Verify query performance post-index
Re-run EXPLAIN · Confirm rows scanned < 100
Pending
4
Validate CPU metrics trending down
Check time-series metrics: CPU usage below threshold for a sustained window
Pending
5
Close incident & update MOP learnings
Auto-close INC-2891 · Log to pattern library
Pending
Automated
85%
↑ of tickets resolved via MOP
Module 04 - Sherlock

Every fix validated. Every root cause found.

Fix Validation - Confirms the Incident Is Actually Resolved Sherlock verifies that every action worked and the service is truly healthy before an incident is closed. No assumed success.
True Root Cause - Not Just the Symptom Traces each incident to its real underlying cause with evidence, so the same failure does not quietly return.
Recurrence Detection - Catches Repeat Offenders Watches for the same pattern re-emerging and flags chronic issues for a permanent fix rather than repeated firefighting.
Closed-Loop Learning - Scores Every Resolution Scores MOP effectiveness and feeds the learnings back, so resolutions improve every cycle. Every finding logged for the audit trail.
Before close
Every fix validated, not assumed
Evidence
Root cause, not just the symptom
Full
RCA and validation logged for audit
Sherlock - Post-Incident Validation
POST-INCIDENT VALIDATION
● VALIDATED
INC-2891 · CPU spike on orders-api · resolved by ProcBot (MOP-042)
Fix applied: MOP-042 executed by ProcBot
Service health restored: latency back to baseline (verified)
Recurrence check: no repeat detected in 24h
MOP effectiveness scored: high
ROOT CAUSE
Missing index on orders.created_at forced full-table scans under load. Permanent fix: index added and verified.
Recurrence check
None
in the last 24h
What makes Sentinel different

Most AI platforms build agents for one system.
Sentinel orchestrates across all of them.

ITSM platforms have their own AI. ERP platforms have their own. CRM, HR, collaboration - each is powerful inside its own walls. But enterprise problems do not stay inside one platform. A payroll failure touches HR, ERP, ITSM and identity all at once. Sentinel is the master orchestrator that sits above your stack, connects the agents you already run, and resolves the problems no single platform can.

Federated Problem Detection

We see what no single agent can.

Sentinel correlates signals across every connected system - ITSM incidents, ERP alerts, CRM case spikes, HR anomalies - and identifies the real root cause, even when it spans four different platforms. When an incident in your service desk is actually caused by an ERP failure, we find it. Other platforms do not even look.

Agent-to-Agent Orchestration (A2A)

Your existing agents do not get replaced. They get a brain.

Sentinel uses the A2A protocol to coordinate between agents that were never designed to talk to each other. Platform-native AI from your ITSM, ERP, CRM, HR and collaboration tools can all be called, coordinated and governed through a single orchestration layer - without rip-and-replace. Other vendors ask you to retire your existing agents. We amplify them.

Cross-System Autonomous Execution

Resolution, not just detection.

Most AI tools stop at "here is what is wrong." Sentinel goes further - it executes the fix across every system involved, autonomously, following your defined SOPs and MOPs. Create the ITSM ticket, trigger the ERP remediation, update the CRM case, notify the right team - all in a single coordinated workflow, with no human stitching.

Purpose-Built for AMS - Not Adapted for It

50+ agents ready on Day 1. Not a blank canvas.

Generic AI platforms give you a framework and ask you to build. Sentinel ships with 50+ pre-built agents covering Incident Management, Change Management, Problem Management, SLA Governance, ERP Automation, Compliance and more - built specifically for Application Managed Services delivery. Your team gets working agents from Day 1, not a six-month build project.

Governance & Explainability - Built In

Every AI decision is auditable. Every action is explainable.

Enterprise AI fails when no one can answer "why did the AI do that?" Sentinel logs every reasoning step, every agent action, and every decision with a confidence score and a natural language explanation. Human-in-the-loop approval can be inserted at any workflow step by policy. This is the foundation the platform is built on - not a compliance feature bolted on later.

2,000+ Integration Connectors

We connect to everything your enterprise already runs.

Sentinel ships with over 2,000 pre-built connectors across ITSM, ERP, CRM, HR, observability, security, cloud, and collaboration platforms. Agents can be wired to any system in your landscape - over REST, MCP, RFC, webhooks, or event-driven messaging - without custom integration work. Browse the catalog →

Not a replacement. A force multiplier.
Sentinel works above your managed services, coordinates the agents you already run, and delivers end-to-end resolution for the federated, cross-system problems that define real enterprise operations.
Universal Connectivity

Sentinel connects to everything.
Out of the box.

No custom development. No integration projects. Sentinel ships with ready-to-activate connectors across every layer of your enterprise stack - cloud, observability, security, collaboration, and custom systems.

Universal Connectivity Map - 100+ Connectors. One Intelligence Hub.
100+ Connectors. One Intelligence Hub.

Bi-directional, event-driven connectors across cloud, observability, security, ITSM, and collaboration - including 24 purpose-built SOAR connectors for SecOps.

Public Cloud Providers
All major clouds, natively
AWS Microsoft Azure Google Cloud Oracle Cloud IBM Cloud Private Cloud
Native APIs for compute, storage, networking, IAM, billing, and security services across all cloud providers.
Monitoring & Observability
Metrics, logs, traces, dashboards
Monitoring Dashboards Time-Series Databases Distributed Tracing Log Aggregation APM Platforms Cloud Monitoring
Connect to your existing observability stack. Sentinel sits above it - ingesting all signals without replacing your tools.
Security & Identity
SIEM, IAM, firewall, threat intel
SIEM Dashboards Identity Management Firewall & WAF Vulnerability Scanners Certificate Managers Secrets Vaults
Ingest security events, auth logs, and threat intelligence from your security stack. Sentinel correlates and acts.
Collaboration & Messaging
Where your teams already work
Slack Microsoft Teams WhatsApp Email SMS / Voice Calls On-call Alerting & Paging
Sentinel delivers alerts, summaries, and approvals on the channel that matters - with full two-way interaction support.
Dev Tools & ITSM
Code, tickets, wikis, pipelines
Jira GitHub GitLab Confluence ITSM Platforms CI/CD Pipelines
Auto-create tickets, update wikis, trigger pipelines, and link incidents to code changes - with full bi-directional sync.
Custom & Enterprise
Any system, any protocol
REST / HTTP APIs WebSocket Streams gRPC Message Queues Event Streams Legacy SNMP/Syslog Enterprise Databases Custom Connector SDK
If it has an API, a socket, or a log, Sentinel can connect to it. Custom connectors built in days with the open SDK.
100+
Pre-built connectors ready to activate
Native
Plug-and-play activation, no integration overhead
Live
Real-time signal ingestion from every source
Open
SDK for building custom enterprise connectors
Core Intelligence Framework

The OIAO Cycle: How Sentinel thinks.

What is the OIAO framework?

OIAO stands for Observe, Investigate, Act, Optimize. It is the four-stage intelligence loop Sentinel AI runs continuously. The loop observes all signals, investigates anomalies automatically, acts by executing fixes or escalating with context, then optimizes by updating runbooks and alert thresholds based on what it learned.

Every Sentinel action - whether autonomous or Copilot-guided - follows the same four-phase intelligence cycle. Designed to mirror the cognitive workflow of your best SRE, at machine speed and scale.

Observe → Investigate → Act → Optimize - The Self-Improving Loop
The OIAO Intelligence Loop: A Self-Improving Operations Cycle
Use Cases

See Sentinel in action.

View All 14 Use Cases →
Infrastructure
Autonomous CPU Spike Resolution
Sentinel detects a CPU spike, traces it to a missing DB index, executes the MOP, and resolves the incident - before anyone opens the ticket.
Fast RCA ↓ MTTR
Security
RBAC Misconfiguration Detection
Detects overprivileged container service accounts, maps blast radius, generates a remediation plan, and alerts an engineer with full identity management context.
Zero drift ↓ Audit prep
Proactive Voice
Unusual Login - Real-Time Call
Suspicious login from a foreign IP triggers an immediate call to the account owner. Confirm identity or lock the account - right on the call.
Rapid response ↓ Breach risk
IT Support
SSL Certificate Expiry - Auto Renewal
Sentinel monitors cert expiry across all services, triggers renewal runbooks 30 days in advance, and executes the full renewal process autonomously.
Zero downtime Full coverage
Business
DB Connection Pool Exhaustion
Detects connection pool exhaustion before cascading failure. Auto-scales pool, notifies on-call, and generates a permanent fix recommendation within minutes.
Minutes to resolve ↓ Cascade risk
Security
SSH Brute Force - Owner Notification
Repeated failed SSH attempts detected and classified as lateral movement threat. Sentinel calls the VM owner and executes isolation with a single voice confirmation.
Threat classified ↓ Lateral-move risk

Evaluating Sentinel against other AIOps platforms? See the AIOps platform comparison for how Sentinel differs from traditional detect-and-alert AIOps.

Ready to Transform Ops?

See Sentinel resolve incidents across your whole estate.

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