Webinar
2nd July
Live - Online
Webinar
2nd July
Live - Online
Webinar
2nd July
Live - Online
Webinar
2nd July
Live - Online
Webinar
2nd July
Live - Online
Webinar
2nd July
Live - Online
Webinar
2nd July
Live - Online
Webinar
2nd July
Live - Online
Webinar
2nd July
Live - Online
Webinar
2nd July
Live - Online
Can you send me the budget-versus-actual breakdown for Q2?
By the time that question is answered — export requested, file downloaded, spreadsheet rebuilt, anomalies manually flagged — the conversation has moved on. The numbers are already a week stale.
The teams changing that aren't using more powerful tools. They're using connected ones. The difference isn't effort. It's architecture. And once you've seen it run, you can't unsee it.
Join Nicolas Boucher (AI Finance Club, Founder) and Quentin Vigneau (CPO, Spendesk) for this free 60-minute session. We'll show you the three workflows that turn finance from a reactive function into one that answers before it's asked.
In this session, you'll see:
Ask a finance question in plain language — get a real answer in seconds
No export, no formula, no analyst in the loop. Ask your connected data "what did we spend on SaaS last quarter, broken down by vendor?" and watch it answer. This is the moment that resets your sense of what's possible.
Turn that query into a report that lands in your inbox every Monday, automatically
This is the thing you can't do with a CSV upload. When your data is connected, you can schedule. Budget-versus-actual, anomaly flags, cost-centre breakdown — built once, delivered every week without touching it again. We'll build it live in front of you.
Prompt with precision — better outputs, lower costs, cleaner audit trail
Vague prompts produce vague answers. We'll show you how more precise prompting — built on connected data — improves quality, makes outputs defensible, and keeps token usage under control. Practical guidance on which models to use for which tasks, and why it matters.
Why you should watch:
Most teams are one architecture decision away from getting their time back.
The honest version of where finance teams are right now and where they could be with the same tools, used differently.
— You've probably already experimented with AI for finance. You asked a question, got an answer, moved on. That's level one. We're showing you what level two looks like, where the answer arrives without the question.
— The gap between uploading a file and working on connected data is wider than it looks. A scheduled workflow, an always-on compliance check, a live anomaly flag. None of these exist in an upload-based model. They only exist when the data is always there.
— You'll leave with a clear picture of what "finance on demand" actually looks like, practical guidance on prompting that you can use tomorrow, and a model-choice framework that keeps costs predictable as you scale.
— No six-month rollout required. Nicolas will show you the manual version first — what most people do today. Quentin will mirrors it on live, connected data with Spendesk AI Connect.