Tom walks into your office to deliver the news: he plans to retire in 18 months. He’s your best estimator, but that seems like plenty of time to find and train a replacement. You task the operations director with gathering tribal knowledge on how to do Tom’s job.
He sits with the next-most-senior estimator and starts asking questions: What markup do we use for this category of work? It depends — Tom knows. How do we account for the setup time on custom enclosures? Tom has a spreadsheet. Where is it? On his laptop. What is the formula? He will show you.
Over the next three months, it becomes clear that Tom does not just hold knowledge — he holds the rationale behind the knowledge. The rationale cannot be exported from a spreadsheet.
The risk is not that Tom is leaving. The risk is that the company never built a system to capture what Tom knows while Tom was still there to capture it.
The Cost of Losing Expertise
Tom is among the 26% of the manufacturing workforce expected to retire by 2030, leaving over 1.5 million positions vacant (Source: MIE Solutions). With every retirement, every resignation, and every shift change, irreplaceable operational knowledge walks out the door.
Every ETO manufacturer knows the cost of lost knowledge is real. The average large US business loses $47 million in productivity due to tacit knowledge loss across the workforce. Knowledge workers report wasting 5.3 hours every week waiting for information from colleagues or recreating it themselves. (Source: Panopto/YouGov)
People like Tom don’t mean to hoard their hard-won insights; it just seems like common sense. They learned things over the years, figuring out problems as they came up. But there’s no formal system to capture and share that institutional knowledge.
ETO manufacturing runs on deep, job-specific expertise: estimating intuition built from hundreds of similar jobs, engineering judgment developed over years on the same product lines, procurement relationships cultivated through decades of supplier interaction.
When that expertise lives exclusively in people’s heads — and is not captured in systems, processes, and documented institutional knowledge — the company is one resignation or retirement away from losing it permanently.
The risk compounds over time. The longer a company relies on key individuals without capturing their knowledge, the wider the gap between what the organization knows institutionally and what it needs to operate. This elusive tribal knowledge comprises the endless small tweaks, workarounds, and relationships that experienced workers develop to keep production running smoothly.
It’s a real issue for manufacturers: 97% of firms are concerned about the loss of tribal knowledge (Source: The Manufacturing Institute). And 72% report difficulty in filling open positions (Source: Manpower Group 2026 Global Talent Shortage Survey).
Replacing a skilled employee can cost much more than the salary: experts estimate the total cost of recruiting, onboarding, training, time to productivity, and management attention can be three to four times the total salary (Source: SHRM).
Once a skilled position is filled after a long search, it can take 6 months to a year for the new employee to be fully productive.
Replacement timelines are longer than most leaders expect. Finding someone with the same domain knowledge takes time. Ramping them to full productivity takes more. In ETO, where every job is custom, there is no shortcut.
What’s Possible with a System
The answer is not to document everything into binders that sit on shelves or spreadsheets that are forgotten. Instead, build systems that capture what experienced people know — actual job costs, engineering decisions, supplier lead times, estimating logic — so that knowledge accumulates in the organization, not just in individuals.
That is what closed-loop estimating, structured BOMs, and documented workflows actually protect: the institutional knowledge that makes the company competitive. Every completed job should make the next bid smarter.
The best system is one that’s mostly invisible, capturing knowledge as employees do their work and apply what they know. Effortlessly document job costing that captures actuals, BOMs that record engineering decisions, and estimating tools that compare bids to outcomes. A separate knowledge-sharing effort that requires additional steps will soon fail as employees don’t take the time.
An Odoo ETO solution, implemented using Novobi’s ETO Blueprint, features closed-loop estimating and structured job records designed to capture institutional knowledge at the job level, keeping it within the organization when a person leaves.
Here’s a simplified overview of how that is achieved. In Odoo, each job starts as a Sales Order linked to a Manufacturing Order, with the Bill of Materials and Routing serving as the original estimate. As production runs, work orders capture actual labor hours, and the MO consumes actual material costs from purchase orders and vendor bills. Cost/margin reports automatically compare estimated and actual figures. All of this—BOM, routing, vendor bills, timesheets, drawings, and chatter notes—lives permanently on that single job record and is searchable by customer, product, or analytic tag. New estimators can pull up similar past jobs directly in Odoo, rather than relying on tribal knowledge or another employee’s memory.
It’s faster to train new employees, and jobs are more likely to stay on track because everyone can access historic information to guide new projects.
The idea is not about replacing people. It is about making what they know outlast them. It honors their contributions while retaining the knowledge that leaves a legacy for all who come afterward. Help your best people stay your best even after they leave.
If your operation relies on key individuals to carry knowledge that has never been captured in a system, the Novobi ETO Blueprint was built to solve that. Visit the Novobi ETO Blueprint page for additional information on our approach to protecting your business and profit margins.
DISCLAIMER: The information in this article reflects the views and opinions of Novobi, based on publicly available information, and is intended for informational purposes only. It is not legal or financial advice. All trademarks are the property of their respective owners.
