From Reactive to Prescient: HCL Aftermarket Cloud’s Agentic Journey

Picture this.

A field technician arrives at a remote construction site. A 40-tonne excavator has been down for six hours. The customer is losing $15,000 for every hour the machine sits idle. The technician has years of experience, a stack of PDFs, a phone with intermittent signal, and no reliable way to confirm whether the part she needs is at the nearest dealer — or three cities away.

This is not just a technology problem.

It is a people problem.

And it has been happening across the global aftermarket for decades.

The technician is skilled. Experienced. Irreplaceable. But without the right information, at the right moment, in the right format, even the best technician in the world becomes a passenger — waiting, guessing, calling, hoping.

Where We Started

Twenty-five years ago, Quest Informatics was founded on a simple but radical belief: aftermarket operations are too complex, too critical, and too commercially important to be managed as an afterthought inside a generic ERP.

OEMs were — and many still are — running warranty claims in spreadsheets, managing dealer networks through email, and dispatching field technicians based on whoever answered the phone first.

The technology existed to do better. What was missing was a platform built natively for aftermarket — not adapted from manufacturing, finance, or generic service management, but designed from the ground up for the unique demands of post-sale service operations.

That platform became Quest Informatics.

Today, it is HCL Aftermarket Cloud.

Over 25 years, across 40+ global OEM deployments spanning construction equipment, industrial machinery, agricultural equipment, automotive, and medical devices, we have accumulated something no competitor can replicate in a product roadmap cycle: deep domain intelligence.

We know what a warranty claim looks like at 3 am when the dealer network spans fifteen countries.

We know what a field technician needs when she is standing at a remote mining site with no signal.

We know what a CFO needs to see to believe that the aftermarket is a profit center, not a cost line.

That knowledge is embedded in every module we have built. And it is the foundation on which we are now deploying the most transformative capability in our platform’s history: agentic AI.

Where We Are Today

Across our deployments today, we have already moved well beyond reactive service.

HCL Aftermarket Cloud connects OEMs, dealers, technicians, and customers into a single, integrated workflow. Parts are found in minutes, not hours. Warranty claims are triggered automatically at job close. Dealer performance is visible in real time. Field technicians arrive with the right part, the right service history, and the right information — prepared before they knock on the customer’s door.

The results are clear.

A German construction equipment OEM transformed its field service operations over three years, moving from less than 28% customer satisfaction to 98%, while increasing service revenue by 57%.

A global manufacturer digitized more than 27,000 parts records and created 200+ model catalogs, giving 175 users instant, accurate access to information that previously required hours of manual searching.

A crushing and screening equipment manufacturer reduced catalog management manpower by 30–35% and unified its global dealer network across five factories on a single digital platform.

These are not only technology outcomes. They are human outcomes.

In every case, the engineers, technicians, service managers, warranty teams, and dealer leaders were already there. The platform did not make them valuable. They already were.

It gave them the visibility, intelligence, and operating rhythm to perform at a level they could not have reached with disconnected tools and fragmented data.

That is the real promise of aftermarket transformation.

Where We Are Going: The Agentic Horizon

What we have built over 25 years is an extraordinary operational data asset. Every service visit, every warranty claim, every parts order, every technician dispatch, every dealer transaction — instrumented, structured, and stored. This is not just a record of what happened. It is the training ground for what comes next.

Agentic AI fundamentally changes the nature of aftermarket operations. Not incrementally.

Today, our platform tells a technician which part she needs. Tomorrow, an AI agent will have already ordered it — based on telematics data from the machine, cross-referenced with historical failure patterns, before the technician is even dispatched.

Today, our platform alerts a warranty manager when a claim is submitted incorrectly. Tomorrow, an AI agent will have already identified the warranty entitlement at job creation, pre-populated the claim, and flagged any anomalies — before the manager opens their inbox.

Today, our platform shows a dealer principal whose contracts are due for renewal. Tomorrow, an AI agent will have calculated the renewal value from 12 months of asset utilization data, drafted the personalized offer, and sent it to the right contact at the right time — automatically.

This is not automation. Automation replaces a task. Agentic AI replaces a workflow — and gives the human who owns that workflow back their most valuable resource: time to think, decide, and act on what matters most.

The technician becomes a diagnostician. The warranty manager becomes a revenue strategist. The dealer principal becomes a customer relationship architect. The OEM service director becomes the conductor of a fully instrumented, continuously optimizing aftermarket operation.

The Inflection Point

We are at an inflection point.

For OEMs, the aftermarket is no longer just a support function. It is one of the highest-margin, most defensible growth opportunities in the enterprise.

The organizations that recognize this now — and invest in the platform, data foundation, and AI layer required to capture it — will compound their advantage for the next decade.

Those who wait will find themselves managing yesterday’s operations in tomorrow’s market.

The journey from reactive to prescient is not a distant vision. For our customers, it has already begun. Contact us