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Updated: 12 May, 2026
As we move from ‘digital-first’ to ‘AI-native’ era, businesses are compelled to rethink and transform their traditional way of working. It’s not a matter of a competitive advantage anymore, but the new baseline to avoid digital Darwinism.
An insight from "Mckinsey’s Aircraft MRO 2.0" reveals that only a small fraction of businesses – only 16% of attempted digital transformation – succeeded in their efforts to sustain disruption over the long term. Furthermore, if you look at MRO, that number looks even worse—somewhere between 4% and 11%.
Most MRO companies are struggling with digital transformation initiatives to sustain the disruption caused by AI.
Modernization is a challenging and costly endeavor, largely due to fragmented data and incompatible systems – the main culprits – hindering AI adoption. Off-the-shelf software running on decade-old technology is incapable of providing the pace modern businesses require today.
As reported in several industry research, these systems can consume up to 80% of the IT budget, leaving little room for new investments.
Furthermore, the subscription-based SaaS tools are losing dominance in many high-impact cases, as AI agents replace manual tasks, rendering per-seat subscription model obsolete. They require lots of manual effort and a high degree of supplier dependency.
“The damage of using generic software may not show up on balance sheets, but you are losing to your competitors silently,” says Tanmay Soni, CEO at Prioxis Technologies. "Even with modern technology and cutting-edge solutions, maintenance is increasingly challenging,” he continues.
With maintenance costs and share of flights delay increasingly rising year-over-year, AI-powered custom solutions are seen as a critical force multiplier to address the growing challenges in the industry.
In this blog, we explain why specialized, bespoke software is now more critical than ever, especially for companies with large teams.
While a custom solution is not universally essential, it is a smart way for businesses with an expansive workforce looking to sustainable scaling. The initial cost is a strategic investment that, in the long run, far outweighs the limitations of generic (off-the-shelf) software.
It (tailored software) allows for better data analysis, more control, and fulfil the unique operational requirements.
Software should work around you, not the other way around. Most off-the-shelf tools have built-in limits that eventually slow you down. Below, we compared the two to walk you through the limits and gains.
| Factor | Custom software | Off-the-shelf |
|---|---|---|
| Turnaround Time | 15–25% faster (documented) | Improved but capped |
| Predictive Maintenance | Deep, asset‑level | Limited / OEM‑bound |
| Compliance | Embedded & real‑time | Process‑driven |
| Scalability | Data‑driven | License‑driven |
One of the biggest problems the MRO industry is facing today is increasing turnaround time, largely due to the packaged MRO systems not being efficient enough to handle the growing demand.
Only a handful of firms have systems designed in harmony with AI – a technology that surpasses human capabilities in specific, data-driven, pattern recognition, and processing vast data.
Custom MRO software sets itself apart by tackling some of the industry’s biggest pressure points head‑on.
The checklist below is by no means exhaustive; these are the signs that your business has outgrown its current software. If your technicians or managers are stuck in these ranges, you are behind the curve:
Automated procurement can reduce invoice processing cycles from 9 days to under 3 days. The industry standard for accuracy is 83% or higher; if your recorded data vs. physical stock is 71% or below.
| Metric | Manual/Legacy Standard | New Standard |
|---|---|---|
| PO Processing Time | 9 Days | < 3 Days |
| Inspection Time (e.g. Drone) | 4-6 Hours | < 30 Minutes |
| Data Entry (per Work Order) | 3-5 Minutes | Instant/Mobile Sync |
| Inventory Accuracy | ~70% (High Discrepancy) | 83% - 95%+ |
| Supplier Onboarding | 4 Days | 2 Days |
By 2025, approximately 64% of MRO organizations have adopted AI, a steady increase from 58% in 2024, with nearly a third now forming dedicated MRO AI teams.
You know that moment you try to scale or customize? You're looking at your bill. You wake up to the reality that you're paying for several unwanted services. Unfortunately, the system you are using doesn’t support code-level customization.
For the most part, you need a third-party tool to connect systems within your organization. Most of the features are locked in behind the premium pricing tier.
On the other hand, bespoke solutions give you more control over integration. It gives you full control and flexibility. Below are some key benefits of building custom software as below.
Flexera 2024/2026 State of the Cloud Report highlights that managing spend has surpassed security as the #1 cloud challenge.
There is a moment most maintenance leaders remember clearly, even if they never put it on a slide. It is not a catastrophic failure. A senior planner opens a drive, and a personal spreadsheet just to answer basic answers. The cost is invisible.
Legacy MRO erodes in layers. If the team is maintaining their own “truth” inside files, group chats. Are you in that territory? You aren’t running one MRO. It’s a maze.
We are not taking the "Custom" software built after spending thousands of dollars and require specialists to maintain it. That’s not what we’re talking about here. The engine underneath can still be a licensed system. The difference is that you are no longer trapped inside a vendor’s idea of how you should work.
Finance, operations, engineering, quality, everyone is finally looking at the same maintenance data, rather than their local logic.
Over a five-to-seven-year horizon, teams that own custom software typically spend less time negotiating change.
If you only listened to conference keynotes, you’d think everyone is fully transformed. Or they heroically replace their core systems in one all‑or‑nothing program. The 'big-bang' approach is just a fairy tale.
Through our work with industrial clients, we have observed a strategic approach the visionaries take is that they start with one small but deliberate move. They pull clean data out of the existing system. They don’t try to solve the whole thing in one go. The approach is almost always incremental.
Someone builds a targeted planning tool that just has features for asset health, predictive maintenance, and may be an action list in one screen. The core MRO still holds the transactions; the new tool holds the context. Over time, more of the decisions move into the custom platform.
Endeavor Air moved from several legacy maintenance systems to one modern MRO platform, then layered more targeted tools on top. The goal was simple: give planners, engineers, and line maintenance a single source of truth they could trust and then let that “brain” evolve over time.
Off‑the‑shelf MRO suites are great at being systems of record; they are not designed to become this evolvable brain. A custom layer lets you keep your workflows in control and can change quickly. That’s the gap our team focuses on: designing and building that “brain”.
It’s tempting to jump straight into solution mode. The more useful starting point is: ask yourself, and your team, these questions:
If two or more of those answers make you wince, at that point, exploring a hybrid or custom path is an operational risk management. The “explore” does not mean “bet the company.” It can be as small as pick one job and fix it first as a test run or build a simple dashboard.
