The step that gets new hires up to speed three times faster
Picture a new operations hire, three weeks in, sharp, motivated, genuinely trying.
She's been handed an onboarding doc, a Slack channel and a calendar full of introductions. What she hasn't been handed is a reliable map of how things actually work.
She sends a question to her manager: how does the client escalation process work?
Her manager refers her to a colleague. The colleague gives her a slightly different answer. The colleague's colleague gives her a third.
In the lunchroom, a colleague who's been there longer tells her who she actually needs to speak to
By Friday she's done what every new hire eventually does: slowly worked out the way things actually get done, one process at a time.
That informal discovery process, piecing together how things really work from conversations, trial and error, and the occasional lucky encounter with someone who's been there long enough to know, is what drives the industry average of 8 to 12 months for a new hire to reach full productivity.
Organisations with structured onboarding can cut that to three or four months.
The difference isn't a better induction programme. It's whether the operational knowledge that actually runs the business has been captured in a form the new hire can access from day one.
The knowledge your team is already sitting on
This is what undocumented operational knowledge looks like.
Not a failure, just a gap. The expertise, the workarounds, the judgment calls that make your business run well are all there.
They're just living in people's heads rather than in a format anyone else can use.
Employees spend nearly 20% of their working week searching for information that already exists somewhere inside the business.
Across a team of 200, that's 40 full-time equivalents whose time could be redirected the moment the knowledge they're searching for becomes findable.
Forty-seven per cent of digital workers say they regularly struggle to find the information they need to do their jobs.
The knowledge is there. It just needs to be unlocked.
Why does operational knowledge stay invisible?
Most organisations document the formal version of how work happens: the org chart, the policy doc, the process diagram that was accurate when it was drawn and has drifted since.
What they rarely capture is how work actually happens: the workarounds that have become standard practice, the judgment calls that take years to develop, the context that makes a decision defensible rather than arbitrary.
Researchers call this "tacit knowledge": expertise that lives in practice rather than on paper.
It accumulates over time.
Every time a senior employee develops a shortcut, a relationship or an instinct, that knowledge has real value, value that compounds when it can be shared and applied across the team.
About 80% of actual organisational knowledge is never formally captured. The organisations that find a way to surface and share what their best people know gain a meaningful structural advantage.
What becomes possible when you capture it?
The onboarding opportunity is the most obvious one, and it's significant.
When knowledge is documented and accessible, new hires ramp faster, senior people get their time back and the quality of decisions across the team improves.
The same insight that used to live in one person's head becomes an organisational asset. Research suggests that Fortune 500 companies could recover billions in lost productivity by sharing critical information more effectively. The same logic applies at every scale.
Then there's the AI opportunity, which is where this becomes genuinely exciting. The businesses getting the most out of AI automation are the ones who first took the time to understand how their processes actually work.
Documented operational knowledge is the foundation that makes AI implementation fast, targeted and effective. Without it, AI projects take longer, cost more and deliver less. With it, you know exactly where to start and what to build.
Harvard Business Review research has framed tacit knowledge as the next competitive moat. The organisations moving on this now are the ones who'll have the clearest picture of their operations when the rest of the market is still trying to figure out where to begin.
What happens when you make the invisible visible?
The approach that works is structured capture, turning what's in people's heads into documented, usable, organisational knowledge through a process that's fast enough to actually happen.
When Appen, a global AI data provider, used Sugarwork to map operational knowledge across its business during a restructuring, onboarding time dropped by 70%.
Not because the onboarding programme changed, but because new hires could finally access a reliable picture of how work actually happened.
For a Nasdaq-listed medtech company, the same process surfaced enterprise-critical workflows that leadership didn't know existed.
Processes running the business that had never been documented. What followed wasn't a scramble to fix things. It was a clear, confident map of where to invest next.
That's what operational clarity looks like. And it's more accessible than most organisations realise.
The opportunity
What if your three most experienced people's knowledge was available to everyone on the team, not locked away, not dependent on a tap on the shoulder, but documented, searchable and ready to build on?
The gap between what your business knows and what it's captured isn't a problem to be anxious about. It's an opportunity to close.
And closing it tends to unlock things that weren't even on the original agenda: faster onboarding, sharper AI investments, better decisions and teams that are less dependent on any single person.
Making the invisible visible is the first step. And it turns out, once you start asking the right questions, the knowledge surfaces faster than you'd expect.
Book a demo to find out what your business already knows.
