Overview
Christophe Sion is the CEO and co-founder of husk, a company he co-founded in July 2023 and which is based in Brussels. Before that, he was an entrepreneur in residence at the ABN AMRO and Techstars Future of Finance Accelerator from September to December 2022.
His earlier career was in law. He was an associate in corporate finance at Stibbe from September 2015 to August 2020, and during that time was seconded as an attorney to ING Belgium in 2017. He interned at PSWC-Advocaten and at Loyens & Loeff in 2013, and held the positions of VP Finance and later Vice President of the European Law Students' Association Antwerp between 2011 and 2014.
Sion studied law at the University of Antwerp, taking a Bachelor of Laws and then a master's in banking law, with a further master's at Nantes Université in 2013 and an LL.M. in banking at the University of Virginia School of Law in 2015. He completed an MBA at the University of Virginia Darden School of Business between 2020 and 2022.
Career history
Insights & ideas
The through-line
Christophe Sion returns again and again to a single grievance he first noticed as a banking lawyer: large corporates had sophisticated financial tools to optimise spending, while smaller, fast-growing companies did not [5][16]. That gap, first felt in Belgium and Europe versus the US where "Ramp, Brex, Mercury" already existed, became "the only thing I could think about" [10] and directly produced Husk, which he now describes as "building the financial OS for European startups" [10]. Over time the framing has widened from a Europe-vs-US infrastructure gap to a live, real-time problem: AI spend is now "the new shadow IT, except it's billed in tokens" [4], and he argues finance itself is being "rebuilt in real time" as the CFO role shifts from mechanical bookkeeping toward strategic foresight [12]. The constant underneath both phases is the same conviction, that founders should not need CFO-level expertise or a spreadsheet named "final_v7_ACTUAL" to understand their own financial health [15][16].
On the founder-tool gap
Sion's origin story is explicit: "large corporates could optimise their spending with debt and credit, squeezing every advantage out of their capital. Smaller, fast-growing companies could not. I couldn't shake it" [5]. He frames Husk's founding insight the same way in the interview, noting his legal background "advising large corporations on financial infrastructure" showed him what startups lacked [16]. He treats this kind of realization as generative rather than merely frustrating: "If there is a gap you cannot unsee, that is not frustration. That is your next company talking" [10].
On meeting founders where they already are
A recurring product philosophy is refusing to add friction. Building Husk, he and his co-founder "kept hitting the same wall. Every finance tool wanted founders to download yet another app, learn yet another interface, and add yet another password to the pile" [3]. Their answer was to embed expense management into WhatsApp, "the one app founders open probably open a hundred times a day on their phone and will never delete" [3], so that using it is as simple as "Snap a photo, send it, and we handle the rest silently in the background" [3]. He repeatedly narrates his own use of this as proof: closing "our entire Q2 from Brazil... zero stress" [8] and travelling with "every expense... on autopilot" [14].
On AI spend as the next unmanaged cost
Sion argues AI spend is repeating the same unfairness he originally set out to fix, "wearing new clothes" [4]. He cites a founder whose "AI bill had tripled in a quarter and he genuinely couldn't tell me why" [4] as evidence the problem is widespread, and invokes Sam Altman's line that "Intelligence is becoming a utility you buy on a meter" to argue tokens are becoming "the kilowatt-hour of this era" [7]. He sees this as structurally different from past one-off costs: "When a cost becomes a utility, it stops being a one-off decision and becomes a continuous, usage-based drain that quietly compounds" [7]. This conviction is turning into product: Husk's "AI Spend Management product goes into beta soon, giving companies... a clear, real-time understanding of where AI money goes" [4].
On intelligent, not indiscriminate, cost-cutting
Sion distinguishes real financial intelligence from blunt cost-cutting. Using Husk's own MCP to ask Claude "Where can we cut spend without impacting growth?" he found it could show "which subscriptions could be consolidated, and... which expenses were actually driving growth and needed protecting" [11]. His conclusion: "That's the part most cost-cutting gets wrong. It treats every euro the same. Intelligent finance knows the difference between waste and fuel" [11]. He casts this as a redefinition of the category itself: "This is what AI-native finance actually looks like. Not a dashboard you stare at. A conversation that thinks with you" [11].
From the stage
In the Intentionally FinTech interview, Sion describes Husk more formally as a platform that "combines a credit card-integrated payment tool with real-time financial insights," a structural description of the product not spelled out in the same terms in his written posts [16]. He also states there that his legal work specifically involved "advising large corporations on financial infrastructure," a detail about the nature of his prior work that sharpens, but goes beyond, the more general "banking lawyer" framing used elsewhere [16].
Takeaways
- Husk was built to remove app and password friction by putting expense management inside WhatsApp, since founders already open it constantly [3].
- Sion treats AI token spend as the next unmanaged, compounding cost category and is shipping an AI Spend Management product in beta to address it [4][7].
- His cost-cutting philosophy rejects flat cuts: use tools like the Husk MCP with Claude to separate "waste" from spend that drives growth before cutting anything [11].
- He points to concrete personal use as validation, e.g. closing a full quarter's books from Brazil in about two hours via WhatsApp receipts and automated Slack nudges [8].
- His founding thesis, that large corporates could optimize spend while smaller companies could not, came from his prior legal work advising large corporations on financial infrastructure [5][16].
- He advises founders to treat an unshakeable, recurring gap they notice as a business opportunity rather than mere frustration [10].
Media & appearances
- Intentionally FinTechYouTubeStartups Deserve Better: Husk’s Mission to Level the Financial Playing FieldChristophe Sion discusses Husk's spending management platform for European startups, which combines a credit card-integrated payment tool with real-time financial insights to help founders optimize cash flow and understand their financial health without requiring CFO-level expertise. He explains that his background as a lawyer advising large corporations on financial infrastructure inspired him to build Husk, recognizing that startups lacked access to the sophisticated financial management tools that big companies used to improve profitability and growth.
In the news
- When we started Husk, we envisioned to make every company financially efficient. Cards came first, with expenses handled over WhatsApp so nobody chases receipts. Then AI became the fastest-growing cost in most companies, so we built AI spend management to help you understand and attribute these costs. But there was a gap our customers kept pointing at, invoices. Today we’re closing it. Bill Pay is live on Husk. Invoices come in by email, WhatsApp or Peppol. An agent reads every line, flags what looks wrong and clears the rest on
- AI is (or should be) linked to efficiency and growth. Just capping your token spend is not the solution. Neither is unlimited spending without any measurable return. That balance is exactly what we focus on with Husk's AI spend management.
- On paper, Anthropic's new AI model costs exactly the same as OpenAI's. In practice, it costs three times as much. This week Anthropic launched Claude Haiku 5.5, and the headline was the price: 90% cheaper than the previous Haiku, and exactly level with OpenAI's GPT-6 Luna. If you run AI inside your product, that looks like an easy switch. Then Artificial Analysis put both models through the same tasks. Haiku scored higher, but it did a lot more thinking to get there and used about three times as many tokens. Per finished task,
- Last week we launched our AI spend management. Now you can take it a step further and attribute that spend directly to your customers. Here's a question that breaks a lot of AI businesses: do you actually know which customers make you money? In the AI era, paying the most and being profitable are no longer the same thing. A €100 customer with light usage can out-earn a €500 customer running expensive workflows all day long. Revenue hides this completely, and the bigger you scale, the more it costs you. Most companies have never
- Shipped. Next: per-customer attribution straight from your code. The Python SDK is already up. Questions about your AI spend, or want to see it on your own data? Ping me or Christophe Sion
- FIRST LOOK into the NEW HUSK. Built on the biggest change to how companies spend money since the cloud. For twenty years, serving one more customer cost a software company almost nothing. AI ended that. Companies now have a bill spread across providers, charged in tokens and different every month. ➡️ AI is one of the fastest-growing costs: +49.5% globally this year and 37x within our customer base, and it's eating into margins. ➡️ Nobody can explain it: only 31% of organisations have accurate visibility into their AI spend. No-one
- In April, Uber’s CTO said the company had already maxed out its full-year AI budget. Uber wasn't the only one. And like most big companies facing bills like that, its first reaction was a cap: Uber limited every employee to $1,500 a month in token spending per AI coding tool, Tesla set a $200 weekly limit per employee, and Microsoft gave each department its own token allocation. But a cap alone doesn't explain what happened next at Uber. By August, weekly requests to its AI agents were 9.4 times higher than in February, yet total AI
- Had a really productive call this week with the VP of Finance at a company of around 45 people. His team has gone all in on AI. Developers now let it write 80 to 85% of their code, and marketing runs almost every piece of content and video production through it. The output is incredible. The bill is a different story. A year ago, this cost didn't exist for him. Now it grows every month, it spikes without warning, and he only finds out when the invoice lands. The engineers spending it want the best model for the job, and fair enough.
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