Business Demand for Automation Is Soaring. The Gains Aren't

Businesses want a lot more automation. A Vanson Bourne study for MuleSoft, run in February 2022, found that 87% of IT leaders had seen requests from business teams go up over the previous two years. Asking for automation doesn't mean you get it, though. The same study found that 69% of French organisations worry about adding to their technical debt. For a business leader, I don't think the useful question is whether the demand exists. The useful question is where the company is losing time today.

Business demand for automation really is rising fast

Business demand for automation really is rising fast, and the available sources agree on it. actuia.com reports on the Vanson Bourne study commissioned by MuleSoft (a Salesforce subsidiary): 87% of the 600 IT leaders surveyed had seen demand from business teams grow over two years. In France the figure was 90%.

Where is the demand coming from?

Not from IT, and that's the detail I find most telling. According to the same study, most of the demand comes from research and development (41%) and from administrative or production teams (41%). These teams want to get more done while the economy stays uncertain, with markets, jobs and costs all in flux.

The market is moving the same way. Market Research Future (updated 28 September 2026) puts the sales force automation market at $12.0 billion in 2024 and expects it to reach $30.97 billion by 2035, which works out to 9.0% annual growth. That figure covers only one segment, and it's a forecast from a research vendor. I read it as a sign of where things are heading, not as proof.

Does a 2022 study still apply to an SME?

Only with caution. The sample was limited to organisations with more than 1,000 employees, about a hundred of them in France. The survey also predates AI agents showing up in everyday tools.

For SMEs, another source counts for more. francenum.gouv.fr (guide updated 9 July 2026) says automation used to be the preserve of large companies but is now within reach of small businesses and SMEs thanks to no-code tools. My hypothesis is that small companies are catching up with large ones because the barrier to entry has gone.

Why strong demand doesn't automatically produce gains

Strong demand for automation guarantees no gains, because every automation you build becomes another workflow you have to monitor and fix. Technical debt here means all the shortcuts and fragile workflows that will need fixing later. That is exactly what 69% of the French organisations in the Vanson Bourne study are worried about.

When does automation create technical debt?

It happens when requests come in faster than the team can handle them. A thread on r/IdentityManagement shows an extreme version. A company of about 3,000 employees wants to automate access governance across 600 systems. Many of them are legacy or custom-built, with no connector, no API and no SCIM. A security team of 5 to 7 people will run the programme, on a capped budget.

The demand is there. The resources aren't. Matthias Goller's video on his n8n and Shopify workflow shows the risk on a smaller scale: a workflow that fails silently. When a supplier's interface went down, an order could fail to go out, and nobody noticed for six or seven days, until the customer complained.

An automated workflow with no failure alert is an outage waiting to happen.

YoungData recommends the same discipline: set up alerts for failures and name an owner for each workflow. I never put a workflow into production without both.

Can automation make things worse for other people?

Yes, and that's the other way to get a project wrong. On r/emploi, a candidate describes giving up on an application for a permanent admin job. The company required a 90-second video, recorded alone on camera, just to decide who would get a first conversation with a human.

The screening is automated, and the cost is pushed onto the candidate. My view on this is firm: AI should augment teams, not create chaos for the people on the receiving end. For candidate screening that stays easy to understand, I walk through a case in OpenClaw for HR: screening 200 CVs before 9am.

How much does business automation cost in 2026?

As of October 2026, a no-code automation platform costs between €0 and €20 a month to get started, according to YoungData's comparison. The five most-cited tools are Microsoft Power Automate, Make, n8n, Zapier and Airtable. The real cost is elsewhere: in the time spent mapping tasks and in ongoing maintenance.

Which tool fits your setup?

YoungData suggests four criteria: your software environment, where your data is hosted, volume (counted in tasks, credits, runs or users depending on the tool) and the skills available. In a company running Microsoft 365, Power Automate is almost always the first choice, because it shares the security of the tools you already use.

You can learn Zapier and Airtable in an hour, while self-hosted n8n needs someone technical. If nobody on your team can run a server, Zapier is a better choice than n8n, whatever the price. Before you compare prices, estimate your volume. Once in production, check the usage caps and where your data is stored.

What measurable gains can you aim for?

The most credible gains I found in the sources come from very specific tasks. The title of Matthias Goller's video claims €35,120 saved a year with a workflow that checks orders for a Shopify store. The workflow waits three hours after payment, because the customer can still change the order. It then identifies the supplier involved and sends the customer's uploaded image to an AI model via OpenRouter, which checks it for personal data or copyright infringement. If anything looks off, a message goes to a Slack channel and an employee takes over.

That check used to take a person a few minutes per design. UDIA, an AI school, cites another example: a sales director who used to listen to his team's sales calls himself now oversees an AI system that analyses every call and writes the report. In both cases, the human decides, and the machine reads and prepares.

How to turn the demand into a project that actually runs

To turn strong demand for automation into gains, start with three repetitive tasks you've put numbers on, not a company-wide project. YoungData advises recording, for each one, how many times it happens per week and how many minutes it takes each time. I believe the same thing: the best projects start small, with a use case that is clear, measurable and quick to test.

Which task should you start with?

Pick the one that combines high volume, simplicity and low risk. Here's an example calculation. A quote follow-up that takes 20 minutes and happens ten times a week adds up to 200 minutes a week, or roughly 173 hours a year. That's an illustrative calculation, not a measurement, but it's enough to rank your candidates.

YoungData lists some typical tasks: supplier invoices approved in Teams and then sent to accounting, leave requests and onboarding for new starters, quote follow-ups, and updating the customer file after a meeting. To go further on scoping, AI business automation: where to start covers the method, and AI agent automation for SMEs explains what you should and shouldn't hand over to an agent.

Should you hire an AI agency?

Sometimes, but not for the reason you're being sold. Demand is so strong that it has spawned a market for courses on starting an automation agency. UDIA claims an established agency can bring in 10,000 to 50,000 a month, and GrowthScout promises you can launch an agency for $1,000 in setup costs.

These videos are aimed at people who want to sell automation, not people who want to buy it. What I see is that many agencies still sell too much talk and not enough working systems. A good provider will show you a first working version within a few weeks, built on one of your three tasks, with alerts and a named owner. If they don't offer that, look elsewhere.

My verdict: follow the demand, but only where time is being lost

Yes, business demand for automation is rising fast. No, it doesn't produce gains on its own. The 87% of IT leaders who see requests rising and the 69% of French organisations worried about technical debt are describing the same reality. The bottleneck isn't the tool any more, since tools cost €0 to €20 a month. It's working out what deserves to be automated and what doesn't.

What can you do this week?

List three repetitive tasks and measure how often they happen. Choose the tool that fits your setup, then automate the simplest one, with a failure alert and a named owner. The real advantage will go to companies that build AI cleanly into their operations, not to those that pile up fragile workflows to meet every request. I think that's the only way to meet strong internal demand without taking on the technical debt business leaders are worried about.

Frequently asked questions

Is business demand for automation really rising fast?

Yes, according to the Vanson Bourne study for MuleSoft from February 2022. 87% of the 600 IT leaders surveyed in five countries had seen requests rise over two years, including 90% of French respondents. The sample only covered organisations with more than 1,000 employees, so the same trend among SMEs is likely but less well documented.

How much does an automation tool cost an SME in 2026?

According to YoungData, as of October 2026, Make starts at around $10 a month, cloud-hosted n8n at €20, Zapier at $19.99 and Airtable at $20 per user. Power Automate's standard flows are included in Microsoft 365, and the premium licence costs €13 excl. VAT per user per month. All of them offer a free way to try them out.

What's the difference between a workflow, RPA and an AI agent?

A workflow is a chain of actions between pieces of software, set off by a trigger. RPA uses a bot to repeat the clicks a person would make in closed software, such as a legacy application. An AI agent works out its own steps from an instruction, with guardrails, human approval and a log of everything it does.

What's the main risk of automation in a business?

Technical debt. 69% of the French organisations in the Vanson Bourne study fear that automation will make it worse. It builds up when workflows are created with no failure alert or owner, so an outage can go unnoticed for days. Naming an owner for each workflow and setting up an automatic alert removes most of the risk.

Do you need an AI agency to automate your processes?

Not necessarily. You can get to grips with no-code tools like Zapier or Power Automate in a few hours for simple workflows. An agency becomes useful for legacy systems with no API, sensitive data or complex workflows, as long as it quickly delivers a first working version for a specific use case.

Vidéos YouTube

• Cómo Empezar Una Agencia de Automatización de IA (Paso a Paso) — UDIA
• Les 5 outils pour automatiser les processus d'une entreprise en 2026 : comparatif et prix — YoungData
• 35.120 € im Jahr gespart: Unser echter KI-Workflow mit n8n und Shopify — Matthias Goller
• Companies Are Drowning In Data — Build This $1,000 AI Automation Agency — Growth Scout

Discussions Reddit

• Looking for IGA vendor for 3000 employees and 600 systems company — r/IdentityManagement
• Une entreprise me demande une vidéo de 90 secondes avant même qu'un humain regarde ma candidature — r/emploi

Articles & ressources

• La demande en automatisation au sein des entreprises est en forte hausse — actuia.com
• L'automatisation : une solution indispensable pour gagner du temps et mieux gérer sa TPE PME — francenum.gouv.fr
• Taille du marché de l'automatisation des forces de vente, rapport sectoriel 2035 — marketresearchfuture.com