Last month, a CTO whispered into our call — actually whispered: "Please don't use my name, but we have 41 monitoring tools."

Forty-one. He pays for all of them. I almost spilled my coffee. Forty-one tools? And he still gets paged at 3 a.m.

This article is what I wish someone had sent him two years ago. Let's talk about the leak nobody wants to admit. Enterprises are bleeding $9–27 billion every year because of inefficiencies in IT Operations.

In simple terms, IT Operations covers everything that keeps a company's technology running:

The core problem?

All these teams use different tools, different dashboards, and different languages — and none of them talk to each other. So companies end up with 20, 30, even 41 different tools doing overlapping work.

There is an urgent and clear need to unify these functions. Companies must adopt Unified Operations platforms to finally fix this "tool sprawl" and broken, disconnected processes. Done right, this shift delivers a 3–4x ROI. Yet most companies still aren't switching. Why?

Because humans hate change more than they hate losing money. That's it. That's the tweet.

Enterprises don't fail because they lack data. They fail because their data sits in different tools, their teams speak different languages, and nobody can connect engineering reality to the P&L.

In this world of too much data — we are drowning in dashboards and alerts — operational fragmentation has quietly become one of the most expensive and least understood crises in enterprise technology. The tools we bought to bring control have, ironically, created chaos.

The Crisis of Operational Fragmentation

The modern enterprise runs on software, but the machinery that keeps that software alive — the operations stack — is in crisis.

Manoj Kumar, former Director-IT at Allstate Corporation, told me:

"The biggest blind spot is change management. Monday mornings after a change window are a nightmare — we pray everything works because no one truly knows what a change will break across the estate. We need a system that tells us upfront: 'If you touch this, these applications will be affected.'"

Why this matters now

What exactly are silos and tool sprawl?

Two interconnected problems that feed each other viciously.

Operational silos

A silo is a domain where data, accountability, and decisions stay trapped. Misalignment is baked in. Real-world outcomes:

Tool sprawl — the real picture

Inside today's enterprises:

You cannot afford to get customer experience wrong in a SaaS solution. Errors and app crashes are very high risk — ITSM services must be proactive and solve issues before they occur.

"If everything goes viral and then customers churn at once, it can shut the company down instantly. I've seen this with four startups…" — Amey Kadle

Why fragmentation persists: the human factor

This is the part consultants avoid: humans fear disruption more than inefficiency.

"Teams have spent years getting their observability right. If someone says 'change this,' it won't happen. The challenge is not technical — it's human behaviour." — Sanjaya Rao

"BYOT — Bring Your Own Tool — changed everything. Adoption shifted from 18-month wars to: 'Sure, we'll pilot next quarter.'"

"Departments have become kingdoms. In some companies, there is zero centralisation — Dev runs its own tools, Infra runs its own, DevOps runs its own. They only talk when something breaks: 'My tool says this.' 'My tool says that.' A centralised system is the only real solution." — Manoj Kumar

One major bank was running 37 separate monitoring tools before they finally consolidated. Thirty-seven! And we wonder why people burn out.

That's exactly what happens today — for a problem none of the 37–41 tools caught in time. But how about the "Unified Connected Agent model," you may ask:

The data: what fragmentation actually costs

Real deployments (2024–2025):

"If systems are down for even an hour, customers go elsewhere. In a bank it's millions the moment transactions stop — and the worst part is most of that is pure missed opportunity: money you'll never see and can never measure." — Manoj Kumar

He went on further:

"Even in an organization not doing direct customer transactions, outages cause inconvenience — not direct money loss. But in a real bank, if systems are down even for one hour, imagine thousands of people inconvenienced at the same time. That immediately becomes millions in lost business."

On how long a company can afford to be down:

"And honestly, you cannot afford systems to be down more than a minute or two. Three minutes, four minutes — beyond that, customers have already moved. If the system is down for two days, then better you find a new business. You are not fit to be in this business."

One bank (Zenoss case study) replaced 37 monitoring tools and funded 65% headcount growth from the savings alone. (Side note: if you're in India, replace "that bank" with the top private bank whose app you used for UPI this morning. Same story, different country.)

There's a point where chaos becomes "normal." It isn't.

The solution: unified operations & intelligent orchestration using Agentic AI

"Unify InfraOps, DevOps, FinOps, SRE, and change management into one flow. Add agentic AI — that's the future." — Manoj Kumar
"Next two years. The platform will drive everything along with AI. This will disrupt the entire managed-services industry." — Sanjaya Rao

Just two years. Not five.

Enter Agentic AI — look beyond the hype

Up until the advent of Agentic AI, actions were business-rules driven and very basic alerting systems. Agentic AI significantly enhances the capabilities to "take actions." It is not just an observer — it takes action across the IT service management processes. It is unified, intelligent, and executes IT operations using any ITSM tools across all use cases.

"A single platform monitoring DevOps, SRE, FinOps, SecOps, and change management is a boon to society." — Manoj Kumar

Operational resilience isn't optional.

On Agentic AI: the bias and cost reality

"For critical operations — human-in-the-loop is mandatory." — Sanjaya Rao
"AI is a powerful, biased tool… take whatever it tells you with a pinch of salt. Burning GPU cycles for cold coffee recipes while an engineer debugs on a ₹40,000 phone with 2% battery makes no sense." — Amey Kadle

The North Star

"Every feature must add value to the platform and to the customer." — Sanjaya Rao
"Get the right mindset with your people." — Amey Kadle
"If I were a CIO today, I'd look for one product that takes information from all layers instead of acting in silos." — Manoj Kumar

Anyway —

The two-year clock isn't waiting.

"And the next time your company posts about 'net-zero goals' and 'cutting carbon emissions,' remember this: every duplicate tool you refuse to retire is quietly burning a small power plant's worth of energy — while the on-call engineer is still debugging the outage on 2% battery."

Embrace the power of unified, intelligent IT operations across DevOps, SecOps, SREOps and FinOps today.

References & voices

Direct interviews, November 2025:

Supporting research draws on Gartner cloud-spend and AI-adoption forecasts (2024–2025), Zenoss enterprise consolidation case studies (Huntington Bank), and secondary cloud-cost optimization analyses from Veritis and Opsio.