⚡ Advimotion’s differentiator

The 2026 CFO no longer collects data.
They analyze it deeply.

Advimotion connects your tools (banking, accounting, payroll, CRM) to an AI and automation layer covering the full finance cycle. 300+ native integrations, with no change to your current stack. Result: 70% of repetitive tasks automated.

advimotion@cfo:~$ analyze invoice batch
→ pull 247 invoices from Pennylane…
→ LLM extract & classify…
→ match to PO + project codes…

📊 12 anomalies flagged
💰 €43k duplicate payment caught
⏱ Time saved: 5h22

→ next:
Our stack

300+ integrations.
Whatever your current ecosystem.

Banking & payment
🏦
Qonto
💳
Stripe
🏛️
Traditional banks
Accounting & payroll
📒
Pennylane
📋
Payfit
💼
Spendesk
📑
Dext
CRM & sales
📊
HubSpot
☁️
Salesforce
🎯
Pipedrive
🛒
Sellsy
AI & data
🤖
OpenAI
🧠
Anthropic
📈
Metabase
📁
BigQuery
Automation
🔄
n8n
Zapier
🐍
Python
Collaboration
💬
Slack
📝
Notion
Measured impact

What it changes concretely.

70%
time saved on the monthly close (vs manual process)
+2 d
per week reclaimed from repetitive finance tasks
×3
CEO & investor reporting frequency (monthly → weekly)
Architecture

All your financial flows,
one single dashboard.

Your tools feed a central AI pipeline that reconciles, controls, and reports. You stop copy-pasting between 12 Excel files: data flows on its own to where it needs to be read.

Advimotion data & AI pipeline: data sources converging to an AI core then to finance deliverables. Your sources Advimotion AI Core Your deliverables 🏦 Banking · Qonto, BNP 📒 Accounting · Pennylane 💳 Payment · Stripe 📊 CRM · HubSpot 💼 Payroll · Payfit + 295 other tools 🤖 LLM 📈 ML forecast 🔄 Workflows 🐍 Python 📊 Live dashboard 📑 Monthly steering note 📉 13-week cash forecast 🚨 Slack alerts 📧 Investor reporting

1Ingestion

API connection to your existing tools. 300+ native integrations, the rest in custom Python.

2AI processing

LLMs for classification and drafting. ML models for forecasting. Workflows for automation.

3Output

Live dashboards, monthly notes, alerts. You read the data. You no longer produce it.

Human in the loop

A senior CFO + AI.
Not just a chatbot.

Johan Orsinet, founder of Advimotion, senior CFO.
“AI processes the data. I analyze it, advise you, support you.”
Johan · Senior CFO

The stack runs 24/7. Analysis, advice and support, that remains human work.

AI produces clean data, the dashboard, the forecast. My role starts after: reading what the data actually says, identifying the real levers, challenging you on your trade-offs, and supporting you on the decisions that matter (hiring, pricing, financing, negotiation).

🤖What AI does

Collection, reconciliations, alerts, dashboards, cash forecast, drafting reports.

👤What I do

Analysis, strategic advice, operational support, recommendations to the CEO.

6 use cases

What we automate for you.

These automations are deployed within 6 weeks of the assignment start. None requires replacing your existing tools.

📊
Real-time business KPIs

Unified dashboard aggregating your banking, accounting, CRM and payment data. MRR, runway, margin, DSO, burn: continuously updated, mobile-accessible.

📱 Live · 0 Excel export
📈
Predictive cash forecast

ML model that ingests your historical flows + commercial pipeline + seasonality to project your cash over 13 weeks with confidence intervals.

📊 Average accuracy ±4%
📑
Monthly CEO note

Steering note generated monthly from live data: KPIs, P&L, cash, runway, variance commentary drafted by AI and validated by a human.

⏱ 4h → 20 min
🔍
Accelerated due diligence

LLM that scans 1,000 pages of dataroom in 4 minutes to surface weak signals: off-balance-sheet commitments, contractual clauses, customer dependencies.

⚡ 1,000 pages / 4 min
🚨
Smart alerting

Continuous monitoring of your KPIs: abnormal burn, late customer payments, budget overruns. Slack / email alerts with recommended actions.

🔔 24/7 · 0 extra cost
📞
Internal finance Q&A

An AI agent connected to your finance data, accessible to your teams in natural language: “what was the Q3 SaaS revenue?”, “how much did we spend on marketing in July?”.

🚀 Answers in 3 sec
AI Stack FAQ

Your questions.

  • No, and it won’t be the case in 2030 either. AI automates repetitive tasks (collection, reconciliations, drafting) to free up time. The CFO focuses on analysis, strategic advice and support — areas where the machine doesn’t go.

  • It’s custom. The cost depends on the number of tools to connect, the complexity of the automations, the reporting frequency and the size of your business. We size it together during the free 30-minute diagnostic.

  • No problem. The Tier 1 diagnostic includes a complete audit of your current stack and our recommendations. Migration is progressive, without disruption, and we support change management with your teams.

  • First live dashboards and automations in place within 4 to 6 weeks. Full stack operational within 2 months. Everything happens in parallel with your activity, without interruption.

  • No tool is left aside. Most connectors already exist (300+). For rarer cases, we adapt a custom integration to plug your tool into the rest of the stack. Your proprietary ERPs, your shared Excels or your in-house solutions remain compatible.

AI audit

How many hours does your
finance team lose
each week? Let’s calculate
together.

Free 30-minute AI audit. You leave with a map of your possible automations and their estimated ROI.