Automated, All-In-One Software Testing Solutions

IT OPERATIONS / AMS HEAD

Improve Reliability, Reduce Incidents, and Optimize Operations — Without Growing the Team.

IT operations teams are caught in a structural trap: alert volumes grow faster than teams can triage them, repeat incidents recur faster than runbooks can be updated, and the best institutional knowledge walks out the door every time an engineer leaves. Meanwhile, for GCC and AMS leaders, the mandate is to prove strategic value beyond cost arbitrage — to show that the centre does more than run what exists, but builds and transforms what comes next. QyrusAI gives IT operations and AMS leaders the AI-native operations platform to turn operational knowledge into autonomous action — resolving the routine without a human, surfacing what to fix permanently, and proving strategic value with data the board can read.

Fragmented tools. CMDB drift.

Too much run, not enough change. No single source of truth for the board.

One continuously-discovered estate.

AI-driven operations. Modernization sequenced from evidence. Board reporting by default.

LOREM IPSUM DOLORSIT. AMETARS.

IT Operations Is Drowning in Volume — and the Answer Is Never More People.

Stop drowning in alert noise, recurring P1 war rooms, and unscalable ticket volumes. Discover how AI-native operations use full-estate dependency context to automate routine remediation, capture institutional knowledge, and meet rigorous regulatory resilience standards without increasing headcount.

Too many alerts, too little context —

alert noise means every incident requires manual investigation to determine whether it matters; teams spend more time triaging than fixing

Critical incidents still need too many people and too many handoffs —

a P1 triggers a war room; the same war room reconvenes next month for the same issue

L1/L2 ticket volume is outpacing team capacity —

AMS and GCC operations teams face a headcount ceiling that commercial pressure prevents from rising; volume keeps growing

Every release or infrastructure change risks business disruption —

without dependency intelligence, the blast radius of any change is unknown until something breaks

Operational knowledge is trapped in people, not reusable automation —

when the engineer who wrote the runbook leaves, the runbook becomes a liability

GCC / AMS pressure to prove strategic value beyond labour arbitrage —

cost-per-ticket metrics measure the wrong thing; the centre needs to prove it builds capability and drives transformation, not just handles tickets

Resilience regulation is raising the bar (UK — DORA, FCA/PRA) —

IT operations must now evidence impact tolerance for important business services, not just report uptime

THE RESOLUTION

Turn operational knowledge into autonomous action — AI operations that see the whole estate, resolve the routine without a human, and tell you what to fix permanently.

LOREM IPSUM DOLORSIT. AMETARS.

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The transformation table

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Before

Legacy Code

Various coding standards and styles
No documentation
Brittle test suites built on Selenium
Manual regression cycles taking weeks
Risk of breaking unknown dependencies
Knowledge locked in individuals, not systems

AFTER

Regression Code Base

Codeless business process tests
Automated test generation and execution
Self-healing test scripts (Healer AI)
Continuous regression coverage
Full dependency visibility before any change
AI-maintained, not person-dependent

LOREM IPSUM DOLORSIT. AMETARS.

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The Joint Motion Diagram

How Modernize + Assure Work in One Motion. Lorem Ipsum Dolor Sit Amet.
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IT / Enterprise Architect
Analyze legacy code architecture automatically
QALead
Generate a regression suite from the analyzed code base
Dev Team
Convert Selenium scripts to codeless tests at scale
Compliance / Audit
Get a test evidence trail for every conversion
CIO
Track modernization progress against a real-time roadmap

Qyrus Ai Engine

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Modernize

Code Analysis

Model all Java classes, libraries, architecture

Modernize

Code Analysis

Model all Java classes, libraries, architecture

Modernize

Code Analysis

Model all Java classes, libraries, architecture

Modernize

Code Analysis

Model all Java classes, libraries, architecture

THE UNLOCK: QyrusAI’s code analysis models the legacy test architecture; converts it to codeless. Conversion path validated.

LOREM IPSUM DOLORSIT. AMETARS.

Built for Operations Teams That Need to Do More With the Team They Have.

Slash alert noise, automate routine incident remediation, and eliminate tribal knowledge loss. Discover how AIOps event intelligence, self-healing workflows, and full-estate dependency mapping turn reactive support into a strategic engine for enterprise resilience.

AIOps Event Intelligence & Correlation

Signal correlation across the full IT estate. Noise reduction from thousands of alerts to actionable incidents. Business service impact correlation — what broke, who is affected, what it costs per hour.

Intelligent Incident Management

L1/L2 Automation & Self-Healing

Knowledge Graph — Operational Memory

Dependency Mapping & Change Impact Analysis

GCC / AMS Productivity & Strategic Value Reporting

LOREM IPSUM DOLORSIT. AMETARS.

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Two disciplines. One outcome.

Neither pillar can do this alone. Modernize knows what the code is. Assure knows how to test it. Together, they convert legacy architecture into verified, continuously-tested codeless suites — without breaking anything along the way.