Scaling is one of the most exciting moments for any business. It's also the moment when every undocumented process, informal workaround and unspoken dependency becomes visible, fast. The organisations that scale smoothly are the ones that understood their operations before they grew them.

When Australia overhauled its aged care funding system, providers discovered a costly truth: the knowledge needed to claim accurately had never been written down. It lived in a handful of experienced heads, not in any system. We look at why regulation keeps exposing this same gap across industries and what it takes to close it.

Most efficiency initiatives stall for the same reason: leadership is working from a version of the business that's accurate in broad strokes and wrong in the details that matter. The real gains aren't hiding in some new methodology, they're sitting inside the operation already, in the workarounds and informal coordination that never made it into a process map. Here's why operational visibility matters more than the redesign itself, and what it unlocks when you get it right.

Most process maps document how work is supposed to happen. The gap between that and how work actually happens is exactly where transformation projects slow down, automation investments underdeliver and new hires get confused. Here's what better process mapping looks like.

Palantir's CEO recently went viral saying businesses need to own their tribal knowledge instead of giving it away to AI. Every time your team asks an AI tool how to do something at work, that AI is learning how your business runs, one prompt at a time. Here's why you should be the one capturing that knowledge instead.

Ford rolled out AI across its quality checks, then rehired more than 300 veteran engineers to get the results it wanted. The story has a genuinely good ending: once Ford put its most experienced people back at the centre of the process, quality jumped to its best level in sixteen years. The lesson is about sequencing, not caution. Capture what your best people know while they're still around, and you get Ford's result without needing Ford's three-year detour.

Your most experienced employees carry decades of operational wisdom that no system has ever captured. When they retire, most of it goes with them, unless you've created a way to keep it. Here's what that looks like in practice.

Microsoft CEO Satya Nadella is warning that AI could hollow out industries the way globalisation did, with knowledge commoditised and value captured by a handful of platforms. The businesses that avoid that outcome won't be the ones with the best models. They'll be the ones who captured their institutional knowledge before transformation began.

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. The knowledge is there. It just needs to be unlocked.

The biggest barrier to AI transformation isn't the technology. It's the knowledge that never gets written down. When that knowledge remains uncaptured, AI can only automate the documented version of work, not the reality. The organisations that succeed with AI will be the ones that turn this uncoded layer of expertise into structured, usable knowledge

Your CIO thinks the organisation is ready for AI. Your COO disagrees by a factor of five. The COO is right. This blog explains why that gap exists, what operations leaders can see that technology leaders can't, and what to fix before the next AI investment lands on the same problem.

Most organisations are spending heavily on AI while systematically destroying the one thing AI needs to work: the accumulated knowledge of how their business actually operates. This post explains why, and what to do instead.

A layoff that precedes knowledge capture is not a transition to AI. It's a downgrade to a worse version of what you had, with higher capex. Understand what this means.

When we started Sugarwork in 2022, we set out to solve a problem every organization faces: the most valuable knowledge lives in people's heads, not in documentation.

When a state government agency realized nearly 100 senior leaders would become eligible for retirement within 18-24 months, they weren’t just facing a staffing issue. Rather, they were on the verge of losing decades of employee knowledge: documented and undocumented insights, institutional memory, and the context behind critical decisions.

Sugarwork recently worked with an $800MM Nasdaq-listed leading supplier of medical devices and components to niche markets in the health care and medical industry. It had around 750 employees, of which one third — the engineering and R&D department — were college-educated in engineering or related fields, and the other two thirds were highly skilled blue collar workers. 

David Battat led an $800MM Nasdaq-listed medical supplies company as CEO for nearly 14 years until its acquisition in August 2024. He made the initial decision to partner with Sugarwork to ensure the organization could retain knowledge from highly-skilled, hard-to-find employees. But he quickly realized that Sugarwork was also a strategic tool. We asked him a few questions about his view on Sugarwork from a management perspective. 

Supergoop is a fast-growing CPG company that has taken a new approach to skincare, by making SPF fun and easy to wear. It integrates sunscreen into a wide range of skincare and beauty essentials, ensuring that each product is highly personalized to suit different skin types and lifestyles.

The main types of GenAI enterprises are using today, and how a new approach can help speed up employee onboarding, improve customer retention, and reduce labor costs.

Aging is affecting every aspect of business operations — but the message just hasn’t gotten through to business leaders.