How are buy-side investors running 10x the expert calls without 10x the budget or the headcount?

The teams pulling this off didn't find a cheaper network or hire more analysts. They removed the four bottlenecks the expert network model is built around.

How are buy-side investors running 10x the expert calls without 10x the budget or the headcount?
Photo by Chris Liverani / Unsplash

Two funds take opposite sides of the same trade. They have the same research budget and access to the same expert networks. One ran 30 calls on the name before sizing the position. The other ran four, then went with its gut on the rest.

The gap between them was not money, and it was not talent. It was how much research each could physically get done before the window closed.

That ceiling is the thing nobody prices in. Most investment professionals treat the number of expert calls they run as a function of budget, when it is really a function of friction. And the friction is not a flaw in the expert network model. It is the model. So this piece is the long version of where those caps sit, why the incumbents can't lift them, and what changes when you do.

Why can't you just do more expert calls?

Start with the constraint nobody writes down. The reason a four-person fund can't run 30 calls on a name in two weeks is rarely the money. It is the workflow.

The expert network industry reached £2.5 billion globally in 2024, growing at roughly 16% a year for a decade. For all that scale, the core product has barely changed. You submit a brief. Someone finds an expert. A call gets scheduled. What happens before and after that call is your problem.

That "your problem" is where the volume cap lives. The £1,250 invoice is the visible cost. The hidden cost is the work the model leaves on your desk.

Bottleneck one: you are doing the network's job

Every one-hour expert call costs around five hours of analyst time. Writing the brief. Reviewing three to six profiles, pushing back, reviewing again. Building the discussion guide. Taking the call. Then notes, synthesis, writeup, and the compliance log your firm is now required to keep.

One call, five hours. That math is fine when you run three calls a quarter. It breaks the moment you try to run thirty.

A long/short analyst covering 40 names who wanted 30 calls per name would need more hours in the year than a working year contains. So nobody does it. They triage down to their highest-conviction names and do desk research on the rest. The volume ceiling isn't budget. It's the five hours per call that never appear on the invoice.

Remove that, and the same analyst runs ten times the research in the same week. That is the first 10x, and it comes entirely from taking the work off their desk.

Bottleneck two: the relay race that makes one call take a week

The marketing says 24 to 48 hours. That is a sourcing window for profiles, not a delivery time for a call.

The call itself runs through a relay. The client solutions associate reads the brief. A separate sourcing team searches the database. A separate compliance team screens the expert. The associate routes candidates back to you. You and the expert play calendar tetris across time zones. Each handoff is a queue, and each queue moves at whatever pace the next person picks it up.

Nobody in that chain is paid to compress it. Their KPI is calls booked per month. A call that takes seven days and one that takes three both count as one against the hurdle.

Stack that seven-day cycle across a 30-call diligence sprint and you can't physically get there with a small team, regardless of budget. Collapse the relay into a single workflow and the cycle drops to days. Across thirty calls, the difference between a two-day cycle and a seven-day cycle is the difference between finishing your diligence and abandoning it half-done.

Bottleneck three: the invoice that funds everything except your thesis

The third cap is economic, and it hits smaller funds hardest.

On a typical call, the expert earns around £250. The other ~80% of what you pay funds the machine wrapped around the call: the associate's salary and hurdle bonus, the offices in expensive cities, the sales team, the compliance layer, and in most cases the private equity sponsor's return. The expert is the pretext. The apparatus is the product.

That cost structure forces the associate to hit roughly seven calls a week to cover their own overhead. So they reuse the experts already in the database, because a re-pitched expert books in hours and a net-new one takes days. They pitch the cheaper expert, because your price is fixed and a lower expert rate widens their margin. And they give their best hour to the biggest accounts.

If you're a smaller fund, you get recycled experts, delivered slower, at the same invoice price the multi-billion-dollar fund pays for custom-sourced ones. You are paying premium for residue. Strip out the apparatus, and the same budget buys two to three times the research, without cutting a penny of what reaches the expert.

How did the model get stuck like this?

It wasn't always this way. GLG launched in 1998 as a genuine marketplace, asset-light and two-sided. Two things turned it into a staffing firm.

The 2010 to 2014 insider-trading prosecutions forced the whole category to bolt heavy, manual compliance onto what had been self-service. Manual process means people. Then buyers demanded white-glove service: sub-24-hour turnaround, hand-curated candidates, a named account manager. That demand got met the obvious way, by hiring graduates in volume in the most expensive cities in the world.

Once you're running a staffing firm inside a marketplace's clothing, headcount becomes the binding constraint. Margins have to stay wide enough to cover all those salaries, the rent, the compliance, and the sponsor's IRR. Lower the price or compress the workflow and you have to fire people. The sponsor won't allow it.

The bottlenecks are load-bearing. They hold up a cost structure built for a different era. The model can't remove them without dismantling itself, which is why a decade of "AI-powered matching" has made scheduling faster and changed nothing about the five hours, the seven-day cycle, or the invoice.

Why Woozle's model is fundamentally different

We didn't build a cheaper expert network. We built a different business.

You brief us once, in about 15 minutes. We build the expert list, run multichannel outreach to custom-recruit the right people, screen them, design the interview guide, conduct the calls, fact-check and triangulate the answers, and deliver finished intelligence on the platform. You monitor and steer in real time. Your team never speaks to an expert directly, so the wall-cross and compliance risk sits with us, not you. We've been FCA regulated since 2016 with zero breaches.

Because briefing, sourcing, compliance, scheduling and delivery sit in one team with one incentive, the relay disappears. We delivered a five-day average turnaround across 1,042 projects in 2025, at around £450 per call, 20 to 30 calls per project. Same expert. Same compliance bar. Different unit economics.

That is where the 10x comes from. Not a bigger budget and not more analysts, but the removal of the five hours per call, the seven-day relay, and the margin you were funding without realising it. In 2025 that saved buy-side clients £33m in fees and 125,000 analyst hours. The research didn't get cheaper to do. It stopped being your job to do it.

If you want to see what running 30 calls in five days actually looks like on a live brief, get in touch and we'll run a side-by-side against whatever your network is quoting you.