Tailored programme
Advanced AI Programme for Corporate & Commercial FP&A

From advanced users
to systematic excellence

A 7-session deep-dive programme designed exclusively for Mollie's Corporate & Commercial FP&A team. No basics. No generic content. Built for teams that are already in the top 5%.

7 sessions
15 participants
Expert level
Remote & on-site
Programme arc
1-2
Tool mastery
3
Prompt engineering
4-5
Trust & quality
6
Hackathon
7
Operating model

The programme

Each session builds on the previous one. Every session is 50%+ hands-on with real Mollie cases.

01

Tool training I: Claude for financial intelligence

Deep dive into using Claude for high-quality financial reasoning
  • Prompting Claude for structured financial analysis (P&L, forecasting, cohort analysis)
  • Long-context workflows (handling large financial reports & datasets)
  • Building reusable financial prompt templates
  • Claude vs traditional BI tools: where it wins
Hands-on
Build a Claude-based financial analysis workflow
02

Tool training II: Gemini & Google stack for data workflows

Leveraging Gemini + Google ecosystem for scalable workflows
  • Gemini in Sheets/Docs for financial modeling & reporting
  • Combining AI with structured data (Sheets, BigQuery-style thinking)
  • Automating recurring finance workflows (monthly reporting, variance analysis)
  • Collaboration workflows (team-based AI usage)
Hands-on
Automate one recurring Mollie reporting task end-to-end
03

Prompting 101 for financial analysis

From ad-hoc prompts to advanced prompt engineering
  • Prompt chaining & decomposition
  • Learn prompting techniques like role playing and chain of thought
  • Structured outputs: tables, ratios, consistent reporting
  • Few-shot prompting with Mollie-specific financial examples
Hands-on
Build a prompt library and test prompt techniques in practice
04

Verification & trust frameworks

Turning AI from "interesting" into reliable
  • When to trust AI output vs when not to
  • The Verification Decision Tree
  • Cross-model validation (Claude vs Gemini)
  • Hallucination detection
Hands-on
Build a team-wide Verification Checklist
05

Guardrails & output quality gates

Ensuring consistent, high-quality outputs
  • System prompts that enforce quality
  • Schema validation & structured outputs
  • Financial guardrails (range checks, anomaly detection)
Hands-on
Anomaly detection game
06

AI Hackathon

This is where everything clicks

Format (full day)

  • Teams work on real Mollie use cases
  • Build production-ready prototypes (not slides)
  • Mix of finance, ops, and product perspectives
  • Demo + judging
  • Clear path to production

Example challenges

  • Automated financial reporting agent
  • Real-time anomaly detection assistant
  • CFO dashboard co-pilot
  • Cost optimisation agent
07

Team AI operating model

Scaling from individuals to an AI-driven organisation
  • Prompt libraries & reuse training sets
  • Building an AI community
Deliverable
Team AI Playbook

What makes this programme different

50%+ hands-on

No slides-and-listen. Every session uses real Mollie cases and workflows.

Google & Claude native

All examples and exercises in your own stack.

Top 5% level

We start where others finish. Designed for teams that already build agents and automate workflows.

Concrete deliverables

Walk away from each session with something usable: checklists, test suites, quality gates, a playbook.

What you walk away with

Tangible outputs from every session — not just knowledge, but tools you can use on Monday.

Claude financial analysis workflow

Reusable templates for P&L, forecasting, and cohort analysis

Automated reporting task

End-to-end Gemini + Google Sheets automation for a recurring workflow

Prompt library

Tested prompt chains with Mollie-specific financial examples

Verification checklist

A team-wide decision tree for when and how to verify AI output

Hackathon prototype

Working production-ready prototype built on a real Mollie use case

Team AI Playbook

Prompt libraries, reuse training sets, and AI community blueprint

Ready to go from top 5% to top 1%?

Let's discuss how we tailor this programme to your team's specific workflows and ambitions.

MD
Max Dinser
Co-founder & CEO
max@digitalbricks.ai
MH
Michiel Heynen
Strategy & Governance Lead
michiel.heynen@digitalbricks.ai