Turn your experts' know-how into your plant's most valuable asset
Every plant runs on decades of hard-won expertise — how a machine really behaves, the fix that worked at 2 a.m., the setting that isn't in any manual. Today most of it lives in a handful of people's heads. Institutionalise that tacit knowledge and it becomes an asset your whole team — and your AI — can rely on.
Your toughest downtime is often a knowledge problem, not a parts problem
When the one person who knows the fix is off shift, the same failure can take hours instead of minutes — not because the answer doesn't exist, but because it isn't reachable in the moment. The expertise is already in your plant. The gap is that it's held in individual memory and scattered notes.
Institutionalising tacit knowledge closes that gap: any technician, on any shift, can reach the same answer your most experienced person would give.
What is tacit knowledge in manufacturing?
Tacit knowledge is the experience-based judgment your most capable people carry but rarely write down — recognising a failing bearing by its sound, knowing which setting actually holds on a temperamental line, or sensing when a reading is misleading. It's the difference between someone who can read the manual and someone who can actually fix the machine. (Some teams call it tribal knowledge.)
Already written down and easy to share — manuals, SOPs, work orders and maintenance logs. Most plants manage this well.
The unwritten judgment built through years on the floor. Harder to capture — and the bigger opportunity, because it's where real expertise lives.
The numbers most plant leaders haven't connected
Individually these are familiar. Together they describe the same underlying issue — critical know-how that isn't reachable when it's needed.
The majority of what keeps a plant running isn't in any system.
Source: Industry estimates
The rest is spent locating information, not turning wrenches.
Source: ATS / Reliable Plant wrench-time studies
The people you'll rely on next are still being trained.
Source: Deloitte & The Manufacturing Institute
Every hour a hard failure stays unsolved is expensive - faster answers pay back immediately.
Source: Siemens, True Cost of Downtime 2024
Why institutionalise your plant's expertise
Capturing tacit knowledge isn't a documentation exercise — it's building an asset that compounds. Here's what it unlocks.
Onboard new technicians faster
New hires reach competency in months, not years, when senior expertise is searchable instead of locked in one person's memory.
A trustworthy foundation for AI
AI agents are only as good as the knowledge they stand on. Captured, verified operational knowledge lets a copilot give accurate, cited answers instead of guesses.
Consistency across shifts and sites
Every shift and every plant works from the same proven methods, so quality and performance don't depend on who's on duty.
Faster diagnosis, fewer repeat failures
Institutional memory of root causes and what actually fixed them means problems get solved once, not re-learned every time.
Safety and quality, preserved
Danger zones, tolerances, and the reasoning behind procedures stay in the system - not only in people's heads.
Resilience, not dependence on individuals
Operations keep running smoothly through absences, role changes and retirements because the knowledge stays in the business.
Why capturing it has been so hard
Documentation is valuable, but it ages quickly and is hard to search at the moment of need. Classroom training transfers facts well, but not judgment. One-to-one mentoring works beautifully — it just doesn't scale across every shift and site. These aren't failures; they're the natural limits every maintenance team runs into.
What's changed is that AI can now capture knowledge from the sources you already have and make it instantly usable — without adding work for your team.
What institutionalising tacit knowledge looks like today
A modern knowledge platform captures expertise from your existing manuals, repair history and a handful of expert inputs, structures it, and makes it searchable for every technician — with one critical addition: verification.
Dovient's MissingDots layer checks every AI answer against your own documents and cites its source, so the knowledge your team relies on is grounded in your plant's reality — never invented. It works alongside the systems you already run.
How to start — without a big project
Find your highest-value knowledge
Start with the recurring failures that hurt most and the people who resolve them fastest - that's where captured knowledge pays back first.
Capture from what you already have
Use existing manuals, repair logs and a few short expert interviews. No large documentation project is needed to begin.
Make it usable and verified
Turn it into searchable answers for every technician - and a grounded, source-cited foundation for your AI agents.
Frequently asked questions
What is tacit knowledge in manufacturing?+
Tacit knowledge in manufacturing is the experience-based judgment your most capable people carry but rarely write down - recognising a failing bearing by its sound, knowing which setting actually holds on a temperamental line, or sensing when a reading is misleading. It sits alongside explicit knowledge (manuals, SOPs and work orders) and is far harder to capture, which is exactly why it is so valuable. Some teams call it tribal knowledge.
How is tacit knowledge different from explicit knowledge?+
Explicit knowledge is already documented and easy to share - manuals, SOPs, work orders and maintenance logs. Tacit knowledge is the unwritten judgment and intuition built up through years of hands-on experience. Most plants manage explicit knowledge well; the larger opportunity is capturing the tacit knowledge that has never been written down.
What are the benefits of institutionalising tacit knowledge?+
Capturing tacit knowledge lets new technicians reach competency faster, gives AI agents a verified foundation of operational knowledge to reason from, keeps quality and methods consistent across shifts and sites, speeds up diagnosis and reduces repeat failures, preserves safety and quality know-how, and makes operations resilient instead of dependent on a few individuals.
How does captured knowledge help AI agents?+
AI agents are only as reliable as the knowledge they stand on. When a plant's manuals, repair history and expert know-how are captured and structured, an AI copilot can give accurate, source-cited answers grounded in your own operations - instead of generic or invented ones. Dovient adds a verification layer (MissingDots) that checks every answer against your documents before a technician sees it.
How do you start capturing tacit knowledge?+
Start with your highest-value knowledge - the recurring failures that hurt most and the people who resolve them fastest. Capture from what you already have (manuals, repair logs and a few short expert interviews), then make it searchable and verified so every technician can use it. You do not need a large documentation project to begin.
See it on your own plant's knowledge
In a 20-minute walkthrough, we'll show how Dovient turns your manuals, repair history and experts' know-how into verified answers every technician can use.