The foundations for what comes next.
The systems, structures, and operating capability that turn growth from a source of pressure into a platform for scale.
Every scaling business reaches a point where something shifts. The systems, processes, and structures that worked at an earlier stage start to strain under the weight of growth. Decisions that used to flow through the founder now create bottlenecks. Tools that were added to solve immediate problems sit unintegrated. Workarounds that were never meant to last have become the way things run. None of this is a failure. It's a natural consequence of building something that's growing fast.
But left unaddressed, it compounds. The gap between where the operating model is and where it needs to be — what we call operational debt — grows wider with every new hire, every new market, every new product. Leadership load increases. Customer experience starts to slip. And the AI tools that promised to transform the business? They amplify whatever exists. When the foundations are strong, AI accelerates. When they're fragmented, AI makes the fragmentation faster and more expensive.
This is what the data shows: of the $684 billion invested globally in AI in 2025, over 80% failed to deliver its intended value. The primary cause isn't AI capability. It's operational readiness. Businesses are deploying AI on top of disconnected systems, undocumented workflows, and inconsistent data — and discovering that technology cannot solve a design problem.
Clarent's Operational Excellence practice exists because of this reality. It helps founders, CEOs, and their teams build the operating systems required to scale — and to make AI investment actually work. Not just operational improvement. Operational design for what comes next.
The cost of fragmented operations. The opportunity of getting it right.
of corporate AI pilots are failing to create measurable business value. The primary cause is not AI capability — it is operational readiness.
MIT Sloan Management Review, 2025
of the $684 billion invested globally in AI in 2025, over $547 billion failed to deliver its intended value. More than 80% of global AI spend — lost to poor operational foundations.
Compiled from McKinsey, Gartner, Deloitte, 2025/26
of ecommerce brands use AI in marketing and personalisation. Only one-third apply it to operations — the part that actually determines whether the business is profitable.
Passport Global, 2026 Global Ecommerce Outlook
lost annually in US businesses from disconnected systems and productivity drain. The average 25-person business manages 32 different software subscriptions — with 18% functional overlap.
Grammarly / Harris Poll; Productiv SaaS Report, 2024/25
Diagnosing where the operating model needs to evolve. Building what comes next.
Clarent's Operational Excellence advisory starts with a clear diagnostic — mapping where operational debt exists, how it's affecting growth, and what resolving it is worth. Not a theoretical audit. A practical assessment of the systems, workflows, ownership, and data infrastructure that sit behind how the business actually runs today.
From there, the work moves into focused execution on the highest-impact areas: process redesign, system integration, workflow documentation, data quality, AI-readiness foundations, and the operating model architecture that allows the business to scale without breaking. The advisory is designed to build capability the business keeps — not dependency on an external advisor.
Each engagement is led directly by an advisor with genuine experience in operational design for scaling businesses — including deep expertise in ecommerce operations, AI-readiness, and the transition from founder-led operations to structured, scalable systems. The advice is independent and vendor-neutral. System choices follow operating model design, not the other way around.
Ready to explore what stronger operational foundations could look like for your business? Start a conversation →
Strong operations are the foundation for everything else.
Operational design touches every part of a scaling business. The quality of leadership performance depends on the systems that support it. International expansion requires an operating model that can sustain complexity across markets. Product development needs infrastructure that doesn't break under new demands. That's why Operational Excellence often becomes the anchor in Clarent's connected advisory model — alongside Human Performance, International Growth, and Venture Design. Getting the foundations right accelerates everything else.
I built this practice because I kept seeing the same pattern. Ambitious businesses — good products, strong teams, real revenue — hitting a ceiling they couldn't quite name. The symptoms were always different: decisions bottlenecking through the founder, customer complaints that shouldn't be happening, AI investments that didn't deliver, tools that didn't talk to each other. But the root cause was almost always the same. The operating model hadn't evolved with the business. The conviction behind this practice is that operational design is not overhead — it's the infrastructure that makes everything else possible. The businesses that invest in it early scale with less friction, less fire-fighting, and far more confidence in what comes next.
Carl Buik, Founder
Frequently asked questions
Who is Operational Excellence advisory for?
Founders, CEOs, and their teams at scaling businesses where operational complexity has started to outpace the systems supporting it. Whether you're navigating the transition from founder-led operations to structured systems, preparing for AI adoption, or simply know that your operations aren't keeping pace with growth — the starting point is your specific situation and ambition.
What is operational debt?
Operational debt is the accumulated gap between where your operating model is and where it needs to be. It builds naturally as a business grows — every workaround, every unintegrated tool, every process that hasn't evolved with the business adds to it. Left unaddressed, it compounds: leadership load increases, customer experience slips, and AI investments fail because the foundations aren't there. Resolving operational debt is one of the highest-leverage investments a scaling business can make.
Why does AI fail without operational foundations?
AI amplifies whatever exists. When workflows are documented, data is clean, and systems are connected, AI accelerates performance. When they're fragmented, AI makes the fragmentation faster and more expensive. That's why 95% of corporate AI pilots are failing to create measurable business value — the technology works, but the operational infrastructure it runs on doesn't. Clarent builds the foundations that turn AI investment into AI value.