How Much Time Does a Virtual Assistant Really Save?
An investigation into the widening gap between businesses that delegate properly and those still doing it all themselves.
In this article
- The Tuesday That Never Was
- Where the Week Actually Goes
- The Interruption Tax Nobody Budgets For
- What the Research Actually Says About Remote Efficiency
- The Human in the Loop: Why Pure Automation Keeps Backfiring
- The South African Advantage
- Why the Managed Model Beats the Marketplace
- Doing the Arithmetic: What Saved Time Is Actually Worth
- The Gap Is Wider Than It Should Be
- Comparison: DIY vs Generic Freelancer vs VAConnect
The Tuesday That Never Was
It starts with a calendar invite that doesn’t exist yet.
You need forty-five minutes with three people. One of them can only do mornings. One is travelling Thursday. The third replies at 21:40 with “any of these work for me” and lists two slots that have since been taken by someone else. By the time the meeting is booked, you’ve sent eleven messages, opened your calendar nine times, and lost the thread of the proposal you were writing when the first reply landed.
That proposal was the actual work. Everything else was coordination.
Most business owners never count this time, because it doesn’t feel like time. It feels like the friction between the real things — the seven-minute gaps, the “quick” reschedule, the supplier chasing an invoice you’ve already paid, the client asking for a document you sent last week that is buried in a thread with fourteen replies. None of it is hard. None of it requires you specifically. And all of it, when you finally add it up, turns out to be most of your Tuesday.
The question this article sets out to answer is a simple one that almost nobody answers with numbers: if you hand that work to a virtual assistant, how many hours do you actually get back? Not the marketing figure. The defensible one.
What the evidence shows is stranger than the sales pitch. The hours recovered are real and larger than most owners expect. But the businesses capturing them are not simply the ones who hired someone. They’re the ones who hired within a working day of their own, into a structure that survives the first bad month. The distance between those firms and the ones still coordinating their own diaries has stopped being a matter of style. It’s become a measurable operating advantage — and it is wider now than at any point since remote support became normal.
Where the Week Actually Goes
Start with the raw drain, because the raw drain is worse than the anecdotes suggest.
Research from American Express and Small Business Saturday UK, surveying 1,000 owners of British micro, small and medium businesses, found respondents spending an average of 11 hours a week on administrative or finance-related tasks — roughly six working days a month. Time spent on sales and business development came to about 3.6 days a month, barely half that. More than half of owners said paperwork gets in the way of running the business, and over a third named their own lack of capacity as the single biggest barrier to growth (American Express SME Business Barometer, 2026).
Read that ratio again. The typical UK small business owner spends nearly twice as long on admin as on the work that generates revenue.
A separate survey of 500 UK business owners by NerdWallet UK put a price on it: time spent on admin and operational tasks costs owners nearly £19,000 a year in opportunity cost. The same research found owners now spend around 6.9 hours a week just setting up and managing AI and automation tools — an activity that was supposed to reduce workload, and which has instead become another line item on the weekly ledger (NerdWallet UK, 2025).
Then there’s the coordination layer specifically. Calendly’s research found 43% of professionals spend three or more hours every week purely on scheduling — comparing calendars, negotiating times, handling reschedules. Not attending meetings. Arranging them. Atlassian’s survey of 5,000 knowledge workers across four continents landed on an even blunter number: meetings fail to achieve their stated goal 72% of the time, and 78% of respondents said the sheer volume made it hard to finish their actual work (Atlassian, 2024). Asana’s tracking showed wasted meeting time doubling between 2019 and 2024 to about five hours per worker per week.
Eleven hours a week on admin. Three more on scheduling. Four to five lost in meetings that miss their point. That is a second job, unpaid, running quietly underneath the first one.
Add the categories together and the average owner is losing something in the region of fifteen to eighteen hours a week to work that produces nothing directly. Two full days. Every week. Fifty weeks a year.
The reflex response is to get more efficient — better tools, tighter calendar rules, a Sunday evening spent reorganising the inbox. The evidence for that reflex working is thin. The evidence for delegation working is considerably stronger, which is what makes the delegation gap so peculiar.
The Interruption Tax Nobody Budgets For
Lost hours are only half the damage. The other half is what fragmentation does to the hours that remain.
Microsoft’s 2025 Work Trend Index special report analysed anonymised Microsoft 365 telemetry alongside a survey of 31,000 knowledge workers in 31 markets. The findings describe what the researchers called the “infinite workday.” Employees are interrupted every two minutes during core hours — around 275 times a day — by meetings, emails or chat notifications. The average worker receives 117 emails and 153 Teams messages daily. Roughly 40% of people online by 6am are already triaging email before the day officially starts, and by 10pm, close to a third are back in the inbox (Microsoft WorkLab, June 2025).
Two details in that data matter more than the headline.
The first: 57% of meetings happen ad hoc, with no calendar invite at all. These are the calls that don’t appear anywhere you could audit them. They’re invisible to any time-tracking exercise, which is precisely why owners consistently underestimate how much of the week they consume.
The second: meetings starting after 8pm rose 16% year on year, driven largely by cross-time-zone collaboration. Nearly a third of meetings now span multiple time zones — up eight percentage points since 2021. That number is the quiet cost of a decade of “hire anywhere” enthusiasm. Firms went global on talent without going global on clocks, and the bill arrives in the evening.
Nearly half of employees and leaders — 48% and 52% respectively — told Microsoft their work now feels chaotic and fragmented. One in three said the pace of the past five years has become impossible to sustain.
The frustration has a well-worn cultural shorthand. On Reddit, the phrase “this meeting could have been an email” has become such a reliable flashpoint that entire threads on r/unpopularopinion exist to argue about the people who say it. The complaint persists because the arithmetic behind it is sound: a fifteen-minute status call on video costs closer to thirty minutes once you count the join, the small talk, the technical fumble and the recovery time on the other side.
This is what makes the “just be more disciplined” advice fail. You cannot discipline your way out of 275 daily interruptions when a meaningful share of them are other people’s needs arriving unannounced. Someone has to absorb them. The only question is whether that someone is you.
What the Research Actually Says About Remote Efficiency
The case for delegating to a remote professional rests on two empirical questions. Does remote work actually produce comparable output? And does it matter where in the world the remote person sits?
On the first, the strongest available evidence is a randomised controlled trial published in Nature in June 2024. Nicholas Bloom of Stanford, with Ruobing Han and James Liang, ran a six-month RCT on 1,612 university-graduate employees at Trip.com — software engineers, marketers, accountants and finance staff. Half were randomly assigned two days a week at home; half stayed in the office five days. Null equivalence tests showed no effect on performance grades across the following two years of reviews, and no effect on promotion rates. Job satisfaction improved, and quit rates dropped by a third, with the strongest effects among non-managers, women, and staff with long commutes (Bloom, Han & Liang, Nature 630, 2024).
The most revealing finding in the study wasn’t about the workers. It was about the managers. Before the trial, managers predicted remote days would hurt productivity. By the end, they had changed their minds — and the firm rolled the scheme out company-wide. The scepticism was real, widely held, and wrong.
So distributed work holds up. But the second question is where the picture sharpens considerably, and where most offshore arrangements quietly fail.
In Organization Science, Jasmina Chauvin (Georgetown), Prithwiraj Choudhury (Harvard Business School) and Tommy Pan Fang (Rice) analysed the Outlook and Skype records of more than 12,000 employees at a Fortune 100 multinational with staff on every continent bar Antarctica. To isolate the causal effect of time zones, they used daylight saving transitions as a natural experiment — clocks shifting in one jurisdiction but not another, creating a clean one-hour change in temporal distance.
The result: a one-hour increase in temporal distance reduced synchronous communication by 11%. The loss of that hour represented a 19% reduction in overlapping business hours, so proportionally, communication held up slightly better than opportunity did — because employees compensated by “time shifting,” pushing work into their evenings to catch collaborators.
That compensation is the part that should worry anyone running an offshore arrangement. As Fang put it: “Working outside of regular business hours has a cost.” The study found the workers most likely to time shift were those in collaborative, non-routine roles — exactly the profile of a good executive assistant. And crucially, not everyone time shifts equally. Women were less likely to communicate outside business hours. Employees in jurisdictions with stricter working-time rules were less likely too. The researchers concluded that firms may benefit from deliberately distributing their workforce along a North–South axis rather than East–West (Chauvin, Choudhury & Fang, Organization Science 35:5, 2024).
A single hour of time-zone drift cuts real-time communication by 11%. Most UK firms hiring support eight or nine hours away are not buying cheaper help. They’re buying a permanent communication deficit and calling it a saving.
Put the two studies together and the conclusion is uncomfortable for the conventional offshore model. Remote support works. Remote support across a wide clock gap works considerably less well, and the shortfall is absorbed by someone’s evening — usually the assistant’s, sometimes yours.
Which brings us to a country almost nobody in Britain thinks about first, and which sits almost exactly on the UK’s meridian.
The Human in the Loop: Why Pure Automation Keeps Backfiring
Before the geography, a detour through the alternative everyone tries first.
The obvious 2026 answer to an admin problem is software. Automate the scheduling. Let a model draft the emails. Point a tool at the inbox. On paper it costs less than a person and never sleeps. In practice, the returns have been dismal in a way that is now well documented.
A July 2025 MIT Media Lab report found 95% of organisations saw no measurable return on their generative AI investments. In March 2026, Goldman Sachs reached a similar conclusion at the economy-wide level, finding no meaningful relationship between AI adoption and productivity gains — even as 70% of S&P 500 management teams discussed AI on earnings calls.
Researchers at BetterUp Labs and Stanford’s Social Media Lab identified one mechanism behind the gap, and gave it a name that stuck. In a September 2025 Harvard Business Review article, they defined “workslop”: AI-generated content that looks like good work but lacks the substance to move a task forward. Surveying 1,150 full-time US desk workers, they found 41% had received workslop in the previous month, and that each instance took an average of one hour and 56 minutes to sort out. Priced against respondents’ own salaries, that’s an invisible tax of roughly $186 per employee per month — about $9 million a year in a 10,000-person organisation (Niederhoffer et al., HBR, September 2025).
The social damage ran deeper than the time cost. Among recipients, 53% were annoyed, 42% trusted the sender less, and around half downgraded their view of that colleague’s competence. A third said they’d rather not work with them again.
This is the failure mode that pure automation keeps reproducing. The tool doesn’t remove the work; it moves the work downstream and adds a verification step. Someone still has to read the draft, notice the client’s name is wrong, remember that this particular customer hates being called “valued,” and rewrite the middle paragraph because the tone is subtly off. The generation was free. The judgement wasn’t.
Judgement is precisely what a capable assistant supplies, and it’s why the strongest operating model isn’t human or machine — it’s a human holding the machine’s output to a standard.
Consider what that looks like in a single ordinary task: replying to an unhappy customer. A model can produce a competent apology in four seconds. What it cannot do is know that this customer has complained twice before, that the last resolution involved a partial refund the finance team resented, that the founder has a personal relationship with the customer’s director, or that the phrase “we understand your frustration” makes this specific person angrier. A good assistant knows all four, and the reply that goes out is warmer, shorter, and lands.
The same holds for content and outbound communication. Marketing copy assembled entirely by machine reads like marketing copy assembled entirely by machine — and audiences have become fast at spotting it. What survives contact with a real reader is copy where a person made the structural decisions, chose which anecdote to lead with, cut the paragraph that sounded impressive but said nothing, and kept the brand’s voice consistent across forty pieces rather than forty variations on a default.
This is the argument for a virtual assistant in an era of cheap generation, and it’s stronger now than it was three years ago, not weaker. The tools have made drafting nearly free. They have made editorial control the scarce input. An assistant who uses AI well — drafting fast, then applying context the model doesn’t have — produces work that is both quicker and better than either party alone. An assistant who simply forwards machine output is generating workslop with extra steps, which is why the vetting and training layer behind a VA matters far more than it used to.
The South African Advantage
Now the geography — and it’s where the arithmetic turns sharply in one country’s favour.
South Africa sits at GMT+2. The UK runs at GMT in winter and BST in summer. That’s a one-to-two hour gap, north-to-south, all year. Applying the Chauvin–Choudhury–Fang findings directly: where a Manila-based assistant costs a UK firm roughly seven or eight hours of temporal distance, and a Bangalore-based one five and a half, a Cape Town or Johannesburg assistant costs one or two. On the study’s own coefficient, that difference is worth a substantial share of your synchronous communication capacity — recovered, without anyone working nights.
The practical version: your assistant’s day starts before yours and ends around the same time. There is no overnight handoff, no waiting until tomorrow for an answer, no 11pm reply from someone who should have been asleep four hours ago. When something breaks at 2pm on a Wednesday, a person is at their desk.
The market has noticed, even if individual British business owners largely haven’t. According to BPESA, the national industry body for South Africa’s global business services sector, total headcount grew from 65,000 in 2019 to roughly 150,000 in 2024, while sector revenue climbed from $1.04 billion to an estimated $2.91 billion over the same period — close to a threefold rise in five years. And the single largest source market for that work is not the United States. The UK accounts for 55% of South African GBS headcount serving offshore clients, with the US at 33%, up from around 1% in 2019 (BPESA & Everest Group National Value Proposition, March 2025).
Momentum has continued. BPESA’s sector reporting recorded 26,346 new jobs servicing international markets in 2025 — the highest annual total since 2018 — with about 90% filled by young people. The Western Cape alone posted 13,056 of those roles, up from 9,549 the year before (BPESA GBS Sector Report, via ITWeb, 2026).
Language, and the thing beneath language
South Africa ranks 13th globally and first in Africa on EF’s English Proficiency Index, with a score meaningfully above both the Philippines and India. But raw proficiency undersells the fit, because the variant matters as much as the level. South African business English follows British convention: colour, organised, whilst, DD/MM/YYYY dates, “diary” rather than “calendar,” “chase” rather than “follow up.” Your assistant doesn’t need a style guide to stop writing like an American.
Beneath that sits shared institutional furniture — Commonwealth legal and parliamentary structures, comparable accounting norms, an overlapping media diet, and a mutual, slightly resigned relationship with cricket. Cultural affinity sounds like a soft factor until you watch it operate. It’s the assistant who correctly reads “I’ll have a look at that when I get a chance” from a client as this is going nowhere, and flags it, rather than filing it as a positive response.
The cost picture, honestly stated
South African delivery is not the cheapest option available and shouldn’t be sold as one. Industry figures put savings at 55–65% against UK, US and Australian onshore delivery. At the individual level, the numbers reported by providers serving the UK market sit in the range of £8–12 per hour for a managed virtual assistant, against roughly £18–25 per hour for a comparable UK-based hire before employer National Insurance, pension auto-enrolment, holiday cover, equipment and office cost.
That is a meaningful gap, but it is not the Manila gap, and the difference is deliberate. Higher rates fund lower client-to-assistant ratios, deeper vetting and continuing training. VAConnect, for instance, caps each assistant at five concurrent clients; the offshore norm in high-volume BPO markets often runs to eight or twelve. You are paying for attention, and attention is the thing that determines whether delegation actually saves you time or merely relocates the supervision.
Why the Managed Model Beats the Marketplace
Here is where most delegation attempts die, and it has almost nothing to do with country.
The standard route is a freelance marketplace. Post a role, sift 200 applications, interview four, pick one, spend three weeks explaining your business, and discover in month two that they’ve taken on another client and your turnaround has doubled. Or they vanish. On Hacker News, a thread asking whether virtual assistants are worth it drew advice that is telling in its weariness: do the task manually until it’s rote, record the process with Loom or Scribe, follow your own written process until it’s airtight, then pay four or five candidates for a one-hour work sample and keep whoever performs best. The same commenter added the warning that matters most — unless the task is defined well, the investment in training and evaluation probably won’t pay back (Ask HN, 2023).
That is sound advice. It is also a project. You are being told, correctly, that hiring a freelancer requires you to first become a documentation department and then a recruitment function — before a single hour of your time comes back.
The managed model exists to absorb that cost, and its results show up in the retention numbers. VAConnect, which has operated from South Africa since 2008 (as Lime Tree Consulting, converting to a fully managed VA agency in 2014), reports 98% client retention and a Clutch rating of 4.8. Its published figures put client onboarding at 3–5 days versus 3–4 weeks for marketplace hires, first-project satisfaction at 91% against a marketplace average nearer 64%, and 73% of placed assistants remaining with the same client beyond two years — in a sector where a six-month relationship is often counted a success. Company materials describe more than 250,000 hours of dedicated assistant work delivered across four continents.
Behind those numbers sit four proprietary systems the company built specifically for the retention problem: VAJobs for sourcing and pre-screening, VAVarsity for upskilling before an assistant touches a client’s tools, Atomic Energy for workload and wellbeing monitoring, and VAPIness, a two-way feedback framework that tracks satisfaction on both sides of the relationship. Monthly performance reviews run throughout. If a placement underperforms, the replacement is handled at no additional cost — and, importantly, the transition is managed rather than dumped back on the client.
The distinction that matters is where supervision lives. In the marketplace model, you are the manager: you recruit, train, monitor, correct, and replace. Every one of those functions consumes the hours you were trying to reclaim. In the managed model, someone else manages the manager. One VAConnect client, an operations director quoted in the company’s own published case material, described burning through four Upwork assistants in five months before switching, and summarised three years with a single assistant since as “same person, same quality, zero drama.”
Institutional knowledge is the compounding asset here, and it’s the one marketplaces systematically destroy. An assistant eighteen months into your business knows which meetings you can skip, which client needs a phone call rather than an email, and how to resolve a diary clash without asking. That knowledge is worth more in year two than in year one, and more again in year three. Every churn event resets it to zero.
Doing the Arithmetic: What Saved Time Is Actually Worth
Let’s build the number from the ground up rather than borrowing a marketing claim.
Take the Amex baseline of 11 hours a week on admin and finance tasks. Add the Calendly finding that a substantial share of professionals lose three or more hours weekly to scheduling alone. Take a conservative view and assume an assistant can absorb 70% of the first category and 90% of the second — realistic, because inbox triage, diary management, document chasing, supplier follow-up, CRM hygiene and travel coordination are the archetypal delegable tasks, while a residue always stays with the owner.
That’s roughly 7.7 hours plus 2.7 hours — about 10.4 hours a week recovered. Call it ten, to be safe. Around 500 hours a year, or twelve and a half working weeks.
Now the interruption effect, which is harder to quantify but larger than most people credit. Microsoft’s telemetry suggests the heaviest-hit workers face something close to an interruption every two minutes. Removing a meaningful share of inbound coordination doesn’t merely return the minutes those interruptions consumed; it lengthens the uninterrupted blocks in between, which is where anything demanding actually gets done. This is why owners who delegate well routinely report a bigger subjective gain than their timesheets justify. VAConnect’s own client-facing materials claim founders and CEOs reclaim 20+ hours a week — a figure that only becomes plausible once you include recovered focus rather than just transferred tasks.
The money side. NerdWallet’s UK research valued owner time lost to admin at roughly £19,000 a year. A South African assistant through a managed provider runs at approximately £500 per month for 40 hours, £830 for 80 hours, and £1,450–£1,660 for a dedicated full-time placement — against £2,900+ a month for a UK-based PA before employer NI, pension contributions and office overhead. VAConnect states clients typically reduce headcount costs by 40–60%, and describes annual savings above $25,000 for a full-time equivalent.
Run the comparison at the 80-hour tier — roughly £830 a month, £9,960 a year. If it returns ten hours a week and the owner’s billable or strategic value is a modest £60 an hour, that’s £30,000 of recovered capacity against ten thousand of cost. Even discounting heavily for ramp-up, imperfect delegation and the residual management time a client still spends, the return doesn’t come out close.
And ramp-up is genuinely short in a managed arrangement. VAConnect describes presenting one or two hand-picked candidates within 5–7 business days of a strategy call, meaningful output inside the first week, and full independent operation typically at 2–4 weeks, supported by a custom SOP built during onboarding. Compare that to the Hacker News protocol — document everything yourself, run paid trials, evaluate, hope — and the difference in time-to-value is measured in months.
The Gap Is Wider Than It Should Be
Something worth stating plainly, because the data invites it.
Two businesses of identical size, in the same sector, with equivalent products, can now differ by 500 working hours a year purely on the basis of one operational decision made eighteen months ago. Not talent. Not funding. Not luck. Whether someone else handles the diary.
That gap was maybe 200 hours a decade ago, when offshore support meant call-centre scripts and a nine-hour clock gap, and the coordination burden itself was lighter — fewer channels, fewer meetings, no expectation of instant reply. It has widened at both ends since. The burden grew: after-hours chat volume up 15% year on year, late-evening meetings up 16%, interruptions at a level Microsoft’s own researchers describe as chaotic. And the remedy improved: a mature South African sector, tripled in five years, aligned to the British working day, with managed providers that have solved the retention problem the marketplaces never could.
The businesses on the right side of that divide aren’t working harder. They’re spending their attention on decisions instead of logistics, and they’ve been doing it long enough that the advantage compounds — better client responsiveness, more consistent marketing output, faster follow-up on leads, fewer things dropped. Meanwhile, one in five UK business owners still reports working 60 hours or more a week, and more than a third name their own capacity as the main constraint on growth.
That last statistic deserves a moment. A third of owners have correctly diagnosed the problem. Capacity. Their own. And the majority of them are still trying to solve a capacity problem with willpower.
The competitive question is no longer whether you can afford to delegate. It’s whether you can afford to keep spending twelve weeks a year on work that costs £10 an hour to have done properly by someone in your own time zone.
The honest caveat: delegation is not magic, and a badly matched assistant is worse than none. That is exactly what the vetting, the training platform, the client-load cap and the replacement guarantee exist to manage. The evidence suggests the risk sits overwhelmingly in the unmanaged version — the marketplace hire, the untested freelancer, the assistant on the other side of the world at 2am.
Get the structure right and the arithmetic stops being an argument. It’s just a calendar with room in it.
Comparison: DIY vs Generic Freelancer vs VAConnect
| DIY Coordination | Generic Freelancer / Marketplace | VAConnect (Managed SA VA) | |
|---|---|---|---|
| Weekly hours returned to owner | 0 | ~3–6, once trained | ~10–20 (task time plus recovered focus) |
| Time to productive output | n/a | 3–4 weeks onboarding, after weeks of sourcing | Candidates in 5–7 business days; output in week 1; full ramp 2–4 weeks |
| Time-zone gap vs UK | 0 | Commonly 5–8 hours (Asia-based) | 1–2 hours, GMT+2, north–south alignment |
| Synchronous communication loss | None | Material — each hour of drift cuts real-time comms ~11% (Organization Science, 2024) | Minimal; full working-day overlap |
| Who manages the assistant | You are the work | You — recruiting, training, correcting, replacing | Provider: monthly reviews, wellbeing and workload monitoring |
| Vetting and training | n/a | Self-reported profiles, ratings, portfolio | Pre-screened via VAJobs; upskilled through VAVarsity before client contact |
| Attention per client | Fully yours | Often 8–12 concurrent clients | Capped at 5 concurrent clients |
| First-project satisfaction | n/a | ~64% (marketplace average, per VAConnect audit) | ~91% (company-reported) |
| Retention | n/a | Six months counts as a success; churn resets knowledge | 98% client retention; 73% of VAs stay past two years (company-reported) |
| If it goes wrong | It stays wrong | Repost, re-sift, retrain — cost falls on you | Managed replacement at no additional cost |
| Indicative cost | £0 cash; ~£19,000/yr in lost owner time (NerdWallet UK, 2025) | £15–25/hr, variable quality; hidden management overhead | ~£500/mo (40 hrs) to £1,450–1,660/mo (full-time); £8–12/hr equivalent |
| UK-equivalent benchmark | — | — | UK PA: £18–25/hr, or £2,900+/mo before NI, pension and overhead |
| AI handled how | You draft, you check | Often raw model output — workslop risk (41% of workers hit monthly; 1h56m to fix each) | Human editorial control over AI drafting; context the model can’t hold |
| Institutional knowledge | Entirely in your head — a bottleneck | Lost at every churn event | Compounds year over year with a stable placement |
Sources
- Bloom, N., Han, R. & Liang, J. “Hybrid working from home improves retention without damaging performance.” Nature 630, 920–925 (2024). Link
- Chauvin, J., Choudhury, P. & Fang, T. P. “Working Around the Clock: Temporal Distance, Intrafirm Communication, and Time Shifting of the Employee Workday.” Organization Science 35:5 (2024). Summary
- Microsoft WorkLab, Breaking Down the Infinite Workday, Work Trend Index Special Report, June 2025. Link
- Niederhoffer, K. et al. (BetterUp Labs & Stanford Social Media Lab). “AI-Generated ‘Workslop’ Is Destroying Productivity.” Harvard Business Review, September 2025. Link
- BPESA & Everest Group, Refreshed National Value Proposition for South Africa’s GBS Sector, March 2025. Link
- American Express & Small Business Saturday UK, SME Business Barometer, 2026. Link
- NerdWallet UK, How UK Business Owners Are Prioritising Time and Money, 2025. Link
- Atlassian, Workplace Woes: Meetings, March 2024, via Fortune. Link
- “Ask HN: Anyone Using a Virtual Assistant?” Hacker News, August 2023. Link
- VAConnect published company data, client case material and pricing, vaconnect.co.uk and vaconnect.co.za. Figures marked company-reported are drawn from VAConnect’s own published materials and have not been independently audited.