For most energy operators, the biggest engineering drain is not the next mega project. It is the work that hides in plain sight: minor modifications, MoC requests, plant upgrades, documentation fixes, compliance actions, and urgent operational asks that arrive every week, consume expert time, and quietly slow the business down. Each job looks too small for boardroom attention. In reality, this is where value leaks - in delayed approvals, outdated drawings, overloaded engineers, repeated rework, and slow responses inside live operating assets.
Minor work is also, by nature, people-dependent rather than knowledge-dependent. Think of an old house: the owner rarely knows how to fix a wiring fault or a stubborn leak. There is one electrician, one plumber, who has serviced that house for years and simply knows what to do. Plants run the same way. The details of a modification - why a valve was re-rated, why a line was rerouted - usually live with the contractor who did the work, rarely with the owner-operator. There is no documentation, no knowledge base, just one person’s memory. That is a real risk to the program, and exactly the kind of risk a knowledge-management layer is built to remove.
Minor changes are also fairly repetitive. The same leak shows up every monsoon; the same valve gets replaced on the same interval; the same MoC gets raised for a familiar reason. Handled one ticket at a time, nobody asks whether the pattern itself is the finding. Look at those small incidents holistically and trends emerge - trends that can justify a bigger fix, or reveal an optimization that digital tools could have caught years earlier. That is a second, connected gap: little appetite so far for building a body of knowledge out of small, similar events.
Minor project spend is OPEX, not CAPEX, and that changes its urgency. A refinery expansion can be shelved through a downturn. Minor work cannot - the plant does not run without it, so the spend continues in good times and bad. That makes it one of the fastest levers available for both bottom-line and top-line savings: shave even a fraction off a half-billion-dollar OPEX base and the saving does not land once, it compounds every year the plant operates. Few organizations manage this spend with anything close to that discipline.
This is not anecdotal. The International Energy Agency estimates oil and gas operations generated roughly 5.1 billion tonnes of CO2-equivalent emissions in 2022 - nearly 15% of global energy-related greenhouse gas emissions - and puts the upfront investment needed by 2030 to halve that emissions intensity at around USD 600 billion, largely through methane reduction, flare elimination, electrification, and decarbonization retrofits on existing assets.
The International Energy Forum and S&P Global Commodity Insights project upstream capex will exceed USD 600 billion in 2024, with USD 4.3 trillion needed through 2030 to sustain supply. Deloitte reports industry capex up 53% over four years, with operators favoring capital discipline and high-return projects over greenfield expansion. The signal is consistent: the next wave of energy investment is as much about upgrading what already exists as building what’s new.
Large greenfield projects have a clear playbook: define the outcome, mobilize the EPC, govern through formal gates, deliver at scale. That works when the project justifies the machinery around it. Minor projects don’t. They are urgent but under-scoped, technically simple but operationally sensitive - needing speed without losing discipline, and cost efficiency without losing traceability.
That leaves operators with an uncomfortable choice: carry an expensive in-house team for uneven demand, or outsource reactively with no continuity. Neither is built for a steady stream of small, operationally critical work.
The monsoon-leak problem is a good illustration. Every year the same section of pipe leaks in the rains, someone is called, it gets fixed, and the ticket closes. Treated as isolated incidents, nobody asks whether three years of identical fixes justify a proper redesign - or whether the pattern was visible in year one, if anyone had been tracking it. That is what an ad hoc, contractor-held model misses: not the fix, but the learning. Minor projects are not minor when viewed as a portfolio. They are a recurring operational system, and recurring systems should be governed and improved over time, not just staffed.
Cyient’s Engineering Productivity & Innovation Center, or EPIC, is our answer: a dedicated, digitally enabled delivery model built specifically for brownfield projects, MoC work, plant upgrades, and recurring asset engineering. Think of it as an extended engineering arm for the customer - one window for minor projects, MoC support, documentation control, and continuous improvement, combining onsite interface, offshore scale, and a value-realization mindset. Instead of every request starting cold, EPIC accumulates knowledge of the asset, its standards, and its recurring issues - and that familiarity compounds into speed, predictability, and better decisions.
It can be branded for the customer, with dedicated physical and IT isolation, access controls, and audit logs. This is not a vendor bench. It is a governed engineering operating model.
People: EPIC creates a dedicated pool so recurring work never competes with capital programs - and doubles as a training ground. Minor projects are complex enough to matter but forgiving enough to learn on, so both fresh engineers and localization hires can build real judgement here before ever touching a major asset.
Right skills, at the right scale: Minor work rarely needs deep specialists in volume - it needs width. Like a home repair where one person ends up doing the wiring and the plumbing, EPIC trains generalists to move across disciplines for routine jobs, while keeping a bench of specialists - cost estimators, high-voltage engineers - on call for the narrow tasks that genuinely need them. Generalist versus specialist is a deliberate distinction, not an accident of staffing.
Process: EPIC standardizes work packages, scoping templates, and review checkpoints so scope can be aligned in days, not weeks.
Digital and knowledge: Dashboards, AI-assisted scope classification, and digital registers replace “who is working on this?” with status, risk, and cost visibility - and just as importantly, they put the details of every change on record for the owner-operator, not locked in a contractor’s memory.
Quality and governance: SLAs, KPI reporting, and a single-point EPIC Delivery Manager keep small misses from compounding into operational risk.
For CXOs, the real question isn’t whether to outsource minor work - it’s how much value is trapped in managing it badly. Because this spend is OPEX, every efficiency gained here drops straight to the bottom line, year after year, for as long as the plant runs. EPIC targets that through best-cost-country scale, reusable tools, standardized templates, and AI-enabled automation - a governed model built to reduce the cost of minor brownfield work, not just staff it.
The bigger value is operational: faster mobilization, one view of work-in-progress, P&IDs and documentation kept current, fewer repeat errors, and a digital trail every future decision can draw on. That trail matters because similar work repeats across years, sites, and geographies - a modification, a redline, a closure report each add to a knowledge base, so the organization stops relearning the same problem from zero. AI earns its place here as an assistant embedded in the workflow, not a side experiment.
The model travels: onsite engineers stay close to the asset while Cyient’s offshore scale supports it, whether for a single facility, a regional cluster, or a global portfolio. And it is built to mature, not just staff - from time-and-materials, through outcome-based pricing, toward risk-reward structures tied to measurable OPEX reduction. A staffing model fills demand. A maturity model improves the system that creates, prioritizes, and learns from that demand - the difference between renting engineering hours and actually owning the outcome.
For asset-intensive businesses, minor projects clearly matter - the better question is whether the organization has a fit-for-purpose model to manage them at scale. If recurring brownfield work is consuming capacity, leaking cost, slowing response, or weakening documentation, the issue isn’t tactical. It’s structural. Cyient’s EPIC addresses that structure with domain experience, multidisciplinary engineering, digital and AI enablement, secure delivery infrastructure, and commercial models that evolve with value maturity. Minor projects have waited long enough for a model of their own.
Start with the backlog. Pick a sample of current MoC and minor project work. Assess the engineering load, documentation gaps, governance maturity, digital readiness, and cost baseline. Then ask one simple question: if this work is going to keep coming anyway, why not build a proper system for it?
If the answer points to a structural gap, see how Cyient helps turn recurring brownfield work into a governed engineering system: https://www.cyient.com/how-cyient-turns-recurring-brownfield-work-into-a-governed-system
About the Author
Mathew Joseph is the Head – Middle East at Cyient and a seasoned technology and business leader with over two decades of experience driving business growth, engineering excellence, and digital transformation across the region. He has successfully led high-growth portfolios with expanding P&L responsibilities, built strong executive partnerships, and shaped enterprise growth strategies. Mathew has spearheaded large-scale transformation initiatives across diverse industries, including Oil & Gas, Banking, Telecommunications, Utilities, Transportation, Public Sector, and FMCG, enabling organizations to unlock sustainable value through technology and innovation.