Specialised Track · Finance Function

Re-engineer the finance function with AI.

A three-day, hands-on programme for finance leaders, controllers, and FP&A teams. Redesign R2R, P2P, Q2C, and FP&A end-to-end with applied AI and agentic automation. Every delegate leaves with a deployable use case and a working agent built in their own Codespaces lab.

3 days 6 modules 70%+ hands-on Codespaces lab included STOA certified
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Why this programme exists
"The finance function will not be replaced by AI. It will be replaced by finance teams that use AI."
The CFO Agenda 2026 · STOA Institute brief
Programme overview

Built around the four core finance value streams.

This three-day programme equips finance professionals to redesign the finance operating model with AI. It moves from diagnostic and process re-engineering on day one, into applied AI and agentic automation across the four finance value streams on days two and three.

Every module follows the TEA™ framework, twenty percent theory, twenty percent examples, sixty percent hands-on application. Delegates work on their own data, on real reconciliation, forecasting, and exception scenarios, in a pre-configured Codespaces environment.

You leave with a prioritised AI use-case roadmap for your function, working prompts and agents, and a capstone that you can hand to your team on Monday morning.

Who should attend

  • CFOs and Finance Directors
  • Controllers and Heads of FP&A
  • Process owners across R2R, P2P, Q2C
  • Finance transformation leads
  • Internal audit and SOX leaders
  • Shared services and GBS managers

Learning outcomes

  • Diagnose finance operating model maturity
  • Re-engineer R2R, P2P, Q2C and FP&A flows
  • Prioritise AI use cases by ROI and risk
  • Build prompts and agents for finance tasks
  • Deploy agentic close, forecast and AP flows
  • Leave with a working agent in Codespaces
R2R

Record to Report

Intelligent reconciliation, journal anomaly detection, agentic close orchestration, narrative reporting.

P2P

Procure to Pay

Invoice capture, three-way match exceptions, duplicate detection, payment fraud screening.

Q2C

Quote to Cash

Credit risk scoring, collections prioritisation, cash application, dispute resolution agents.

FP&A

Plan, Forecast, Decide

Driver-based forecasting, variance commentary, scenario modelling, decision-intelligence dashboards.

Programme outline

Six modules. Three days. One working agent.

A progressive structure from operating-model diagnostic, through process re-engineering, to applied AI and agentic automation across the finance value chain.

01
Day 1 · Module

Finance Operating Model & AI Maturity Diagnostic

  • Diagnostic frameworks for finance maturity and effectiveness
  • Structural realignment: Shared Services, GBS, CoEs, hybrid models
  • Redefining finance roles for business partnering and value creation
  • Linking operating model decisions to enterprise strategy and cost structure
Core Exercise Finance & AI Maturity Diagnostic Scorecard, applied to your own function.
02
Day 1 · Module

Process Re-Engineering Across R2R, P2P, Q2C & FP&A

  • End-to-end value-stream analysis across the four finance flows
  • Standardisation vs localisation strategy in multi-entity environments
  • Control optimisation in automated and semi-automated processes
  • Designing efficiency and cost-to-serve metrics for finance
Core Exercise P2P Value-Stream Teardown, map, measure, and identify AI insertion points.
03
Day 2 · Module

Applied AI in R2R, Close, Reconciliation & Reporting

  • Intelligent reconciliation and journal anomaly detection
  • Close acceleration with agentic checklists and exception routing
  • AI-generated variance commentary and narrative reporting
  • Audit trail, explainability, and SOX considerations
Codespaces Lab Build a reconciliation agent that triages exceptions and drafts journal entries.
04
Day 2 · Module

Applied AI in P2P & Q2C, Working Capital Agents

  • Invoice capture, three-way matching, and exception triage in AP
  • Payment fraud detection and duplicate-invoice pattern recognition
  • Credit scoring, collections prioritisation, and cash application in AR
  • Dispute resolution and customer correspondence with agents
Codespaces Lab Deploy a P2P exception agent and an AR collections prioritisation agent.
05
Day 3 · Module

AI for FP&A, Forecasting, Variance & Decision Intelligence

  • AI-assisted driver-based forecasting and cash-flow prediction
  • Automated variance analysis and management commentary
  • Scenario modelling and sensitivity analysis with LLMs
  • Prioritising AI use cases by ROI, risk and strategic impact
Core Exercise Finance Prompt-Engineering Lab, variance commentary and forecast narrative.
06
Day 3 · Capstone

Capstone, Build Your Finance Agent

  • Choose your value stream: R2R, P2P, Q2C or FP&A
  • Design inputs, processing logic, controls and outputs
  • Build, test and deploy in Codespaces with peer review
  • Showcase, governance review, and 30-day rollout plan
Capstone Deliverable A working agent on your own finance use case, ready for pilot.
Three-day path

Diagnose. Apply. Build.

Each day moves further from theory and closer to a working agent in your own environment. Everyone, regardless of technical background, can follow along.

Day 1
Diagnose
Operating model & processes

Finance maturity diagnostic, operating-model design, and end-to-end re-engineering across R2R, P2P, Q2C and FP&A.

Day 2
Apply
AI across R2R, P2P & Q2C

Hands-on Codespaces labs: reconciliation, AP exception, fraud detection, AR collections and cash application agents.

Day 3
Build
FP&A & capstone agent

AI-driven forecasting, variance commentary and scenario modelling. Capstone: build, test and deploy your own finance agent.

Inside the programme

A live Codespaces lab. No setup. No friction.

Every delegate gets access to a pre-configured GitHub Codespaces environment with finance datasets, working notebooks, and reference agents already wired up. You see agentic AI run end-to-end, then build your own.

  • Pre-loaded R2R, P2P, Q2C and FP&A datasets
  • Working starter agents you fork and modify
  • Reconciliation, fraud-screening and forecasting notebooks
  • Connectors for ERP exports, Excel and CSV pipelines
  • Lab access remains active for 30 days post-programme
Reserve a seat
Built for finance

Designed for the people who own the numbers.

A practitioner-led programme, calibrated for the pace and language of the finance function. Not a generic AI course wrapped in finance examples.

For finance leadership

CFOs, Finance Directors, and Heads of Transformation who need a clear AI roadmap, governance posture, and ROI thesis for the next 12 months.

For process owners

Controllers, Heads of FP&A, AP/AR managers, and shared-services leads who want to redesign their value stream around agentic automation.

For audit & control

Internal audit, SOX, and compliance professionals who need to evaluate AI-enabled controls, explainability, and risk in finance workflows.

Upcoming sessions

Choose your date.

Open-enrolment dates below. Need a private session for your finance team? Schedule a TNA call, custom proposal within 48 hours, delivery in as little as three weeks.

Date
Format
Duration
Price
9 – 11 June 2026
Live Online
3 days
$2,997
21 – 23 July 2026
Live Online
3 days
$2,997
15 – 17 September 2026
In-Person · London
3 days
$2,997
Flexible
Live virtual or On-site
1/2 to 5 days
Custom
What every participant gets

You keep everything.

No vendor lock-in. No paywalled materials. Every delegate leaves with the working files, the templates, the lab access, and the post-programme support to actually use them.

Working finance agent

A live, deployable agent built on your own R2R, P2P, Q2C or FP&A use case during the capstone.

Codespaces lab access

Pre-configured GitHub Codespaces environment with finance datasets, starter agents, and notebooks.

Maturity scorecard & roadmap

Finance & AI Maturity Diagnostic Scorecard plus a prioritised 12-month AI use-case roadmap.

Finance prompt library

Curated prompt and agent templates for close, reconciliation, AP, AR, forecasting and variance commentary.

STOA certificate

Certificate of Completion plus a guided pathway to the Google AI certificate as an additional credential.

30-day support

Post-programme Q&A, lab access, and implementation guidance for your finance use case.

Delivery options

Choose how your finance team learns.

In-Person

Instructor-led on-site

Delivered at your offices or venue. Maximum engagement for finance teams of 8 – 20 participants. All exercises use your team's actual close, AP, AR and FP&A scenarios.

Live Online

Virtual instructor-led

Real-time delivery via Zoom, Teams, or Meet. Interactive breakout rooms, the same Codespaces lab, same depth as in-person. Ideal for distributed finance organisations.

Hybrid

Blended approach

Combine in-person and virtual sessions. Flexible scheduling across time zones. Pre-work, capstone reviews and follow-up resources included.

Ready to build

Stop talking about AI in finance. Start running it.

Join the next open session, or book a private programme for your finance team. Custom proposal within 48 hours. Delivery in as little as three weeks.