v8.1 NewAAQUILIX Agentic AI

Autonomous EnterpriseIT Operations Platform

AAQUILIX AI detects, diagnoses, and safely remediates >70% of IT Infra, Application and DB incidents inside your own network — governed by your policies, with audit trails on every action and unit-based pricing that bills per Server, Database, or devices, never per ticket.

<10 mins
Average MTTR
70%
Incidents Auto-Resolved
−40%
Infrastructure TCO
Client-local AIPolicy controlsAudit trailsHuman approval gates

AI resolves >70% of incidents autonomously (L1 · L2 · partial L3) · Need 100%? Talk to Sales about Fully Managed Service

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AAQUILIX / client-master / production1,284 agents online
Dashboard
6/6/2026, 11:42:18 am
Northwind Corp|IT Services — Plan: enterprise· 240 agent slots · 240 licensed VMs
AUTONOMOUS RATE
96.4%
AI auto-resolved
AGENTS ONLINE
218/224
240 slots
OPEN ALERTS
7
3 critical · 4 warning
TOOLS CONNECTED
9/9
All integrations healthy
TOTAL INCIDENTS
4,820
L1:3,510L2:1,150L3:160
RESOLVED
4,712
L1:3,486L2:1,096L3:130
TICKETS OPEN
108
L1:24L2:54L3:30
PENDING APPROVALS
12
L1:0L2:4L3:8
Client Server Health
Overall status from agents, tools, VM validation
96
GREEN
Agents Online97%
218 online, 6 offline
VM Validation98%
236/240 VMs validated
Tool Connectivity100%
9/9 tools connected
Autonomous96.4%
Resolved without manual execution
AAQUILIX Overall Status
218
ONLINE
6
OFFLINE
14
PENDING WORK
Agent Fleet
218 online · 6 offline
VM Deployments
No blocked deployments
Monitoring Tools
9/9 connected
Operational Load
7 alerts, 14 tasks
Overall Client Metric
Health
96%
Autonomous
96.4%
Agent Coverage
97%
VM Readiness
98%

The problem

Enterprise complexity keeps growing. Operating capacity does not.

Infrastructure scales every year, but teams, budgets, and manual workflows stay nearly flat. The gap becomes operational risk.

Demand

Growing every year

Accelerating
NowYear 3
2.1× operational load
  • Infrastructure+38%
  • Applications+47%
  • Cloud services+54%
  • Operational alerts+62%
Capacity

Staying nearly flat

Constrained
NowYear 1Year 2Year 3

Capacity added: +3%

  • Team capacity0%
  • Available budget+3%
  • Operating modelUnchanged
The outcome

A compounding operations gap

+28%cost by year 3
More systemsMore alertsMore engineersHigher cost

More infrastructure creates more work, while the underlying delivery model remains manual.

Operational mismatch

Demand compounds. Human capacity scales linearly.

The AAQUILIX AI Solution

Scale operations.
Not headcount.

AAQUILIX AI turns operational signals into governed action—diagnosing, resolving, and documenting incidents without adding another layer of manual work.

Incoming signals
Metric anomalyCPU · 96.4%
Log patternAUTH · 7 events
Service stateDB-04 · degraded
Autonomous engineAIROReason · Govern · Act
Governed resolution
DiagnosedRoot cause found
Complete
RemediatedRunbook executed
Complete
AuditedEvidence recorded
Complete
Observe
Orchestrate
Resolve

Trusted by enterprise teams across regulated industries

Banking & FinanceHealthcareManufacturingTelecomGovernmentRetail & E-comCloud InfrastructureInsuranceAviationOil & GasPharmaceuticalsLogistics & Supply Chain
Security & Governance
Client-local deployment
Policy-based approvals
Immutable audit logs
Human approval gates
12+ Enterprise Clients
5 Regulated Sectors
Production outcomes

Proof your board
can measure.

Every figure comes from live AAQUILIX deployments—not projections, benchmarks, or best-case demos.

Live production data12 enterprise clients5 sectors
AAQUILIX outcome telemetry
Audited Median values Customer verified
Autonomous resolution rate>70%

Incidents closed without human escalation

L1 and L2 incidents diagnosed, remediated, verified, and logged by AIRO.

Proven across all 12 enterprise deployments
AIROverified
Production median
42 s

Median resolution time

Alert to verified recovery for autonomous L1/L2 incidents.

vs. 3–4 hour industry average
Production median
50%+

OPEX reduction

No per-ticket overage, renewal uplift, or reactive hiring cycle.

measured by Year 2
−60%Reactive ops headcountBy Year 3
99.9%SLA attainmentAutonomously maintained
0Human escalationsDuring a 10× traffic event
Want the evidence behind these numbers?

Case studies, audit exports, and architecture documentation are available under NDA.

Pricing

Build the coverage you need.
Nothing you don’t.

Select capacity, add the infrastructure domains you operate, and get one predictable price—without per-ticket fees or bundled shelfware.

Pricing modelTwo inputs. One predictable subscription.
01
Choose capacityAgent ceiling and deployment tier
02
Add domain packsOnly the infrastructure you manage
03
Your subscriptionNo ticket fees. No surprise overages.
AI autonomous coverage>70% of managed service work

L1, L2 and partial L3 incidents resolved automatically, 24×7.

AIRO autonomousHuman expert team
Cover the remaining 30%
01
Choose your capacityStart free, then scale without changing your operating model.
Recommended starting point

30-day autonomous operations trial

Full L1 and L2 resolution for up to 25 Windows VMs. No credit card required.

25Windows VMsWindows Server Pack included
02
Add domain packsExpand coverage by technology domain whenever you need it.
Windows ServerPatch, harden and auto-heal
Linux / UnixRHEL, Ubuntu, Debian and more
DatabaseMSSQL, MySQL, PostgreSQL, Oracle
Network / NOCRouting, switching and uptime
Security / SOCDetection and compliance
Cloud AWSEC2, RDS, Lambda and IAM
Enterprise IT operations team reviewing infrastructure dashboards
Enterprise Operations · AI-augmented teams
Trusted by enterprise operations teams

The operations teams that never sleep — now amplified by AI.

Your engineers focus on architecture and innovation. AAQUILIX AI handles >70% of routine incidents, L1 and L2 resolution, and continuous infrastructure governance — autonomously, 24×7.

2,800+
AI agents deployed
60%
OPEX reduction achieved
<10 mins
Average MTTR
12
Enterprise clients
See how the platform works
Customer Impact

Real teams. Real outcomes.

AAQUILIX is deployed across banking, healthcare, retail, manufacturing, government and telecom — delivering measurable reduction in human escalations, MTTR, and total cost of operations.

Banking technology team reviewing operations
Banking

AAQUILIX resolved our Oracle blocking sessions at 2am during month-end batch runs. No on-call escalation. No SLA breach.

RK
Head of IT Operations
Top-5 Indian Private Bank
Clinical systems and hospital IT environment
Healthcare

Patient records systems now have zero unplanned downtime. Storage alerts resolved before clinical workflows are even aware.

SM
Chief Information Officer
2,000-bed Multi-specialty Hospital, Bangalore
Retail and e-commerce storefront operations
Retail

During our 2024 Diwali sale — 10× traffic in 72 hours — AAQUILIX resolved 140 alerts with zero human intervention.

AP
Head of Engineering
Top-3 Indian E-Commerce Platform
View all industry case studies

Autonomous resolution

One incident. Zero human intervention.

Watch AAQUILIX detect the root cause, select the approved playbook, execute the fix, verify recovery, and close the ticket.

Incident resolvedINC-8241 · prod-db-01
42stotal resolution time
4.2h MSP median0 escalations
  1. Alert received

    Disk usage reaches 96% on prod-db-01.

  2. Root cause found

    Agent-07 identifies 18.4 GB of stale query logs.

  3. Playbook executed

    DB_Disk_Critical_v2 runs within policy guardrails.

  4. Verified and closed

    Disk returns to 42%; health check and audit pass.

Agent-07 onlineprod-db-01 / execution logPolicy approved
CRITICAL disk_usage on prod-db-01 (96%)
DETECTED 18.4 GB stale MySQL query logs
RUNNING DB_Disk_Critical_v2
EXECUTED Disk capacity restored to 42%
VERIFIED Health check passed
RESOLVED INC-8241 · no escalation · audit saved
Resolution verifiedSLA target 5 min · completed in 42 sec
Production scenario

Banking client · 140 peak-traffic alerts auto-resolved · zero downtime

Performance comparison

A different operating model.
Measurably better outcomes.

Compare median production results across 12 enterprise deployments with the traditional MSP model.

Operational metric
AAQUILIX AIAutonomous operations
Traditional MSPHuman-led operations
01

Mean time to resolve

AI classifies, diagnoses, and executes the fix before a human reads the alert.

<10 minMedian MTTR
4.2 hrsTraditional median
02

Incidents auto-resolved

GoalSet policies control execution. Every action is logged, explainable, and rollback-ready.

63%No human touch
5%Industry automation
03

Total cost — year 3

Cost per endpoint falls as AI coverage expands instead of rising at every contract renewal.

−40%TCO reduction
+28%Cost growth
04

Ops workforce impact

The productivity commitment is measured monthly, enforced by SLA, and visible in telemetry.

−60%20% per year
GrowsScales with infra
Industries

Production-grade where it counts.

Deployed against regulatory pressure, latency budgets, and uptime contracts. Three production engagements, summarized.

FS

Financial Services

0%infra TCO reduction

A tier-1 retail bank consolidated 4 ops teams into one platform group. Patch SLA fell from 14 days to 38 minutes. RBI audits cleared on first pass.

Helix BankRBIPCI-DSS
HC

Healthcare

0.000%uptime

National hospital network running 1,400 microservices across 11 sites. Zero PHI incidents. Engineering rotation reduced to weekday business hours.

Atlas HealthHIPAAHITRUST
LG

Logistics

<0 minsmedian MTTR

Continental rail operator at 380 stations. Predictive remediation closes 71% of incidents before passenger impact.

NorthRailSecurityEdge

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~100% L1 Autonomous·
~80% L2 Autonomous·
~50% L3 Partial AI·
>70% Total AI Coverage

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