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Faster close-to-insight cycle
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Finance-focused lessons
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Finance pros enrolled this week
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End-to-end FP&A projects
Why most teams underuse AI
FP&A teams spend most of their week on data wrangling and reporting. The strategic work — advising the
business — is where AI now creates the biggest lift.
This program teaches FP&A professionals how to use AI across the planning cycle: variance analysis,
scenario modeling, commentary, and board-ready reporting that drives decisions.
Before AI in your FP&A workflow
Monthly variance commentary gets rewritten manually every cycle
Scenario modeling is slow and limited to two or three base cases
Board and exec packs eat days of formatting and storytelling
Business partnering is squeezed between close and the next forecast
After this AI for FP&A course
Driver-based commentary drafts in minutes with a reusable prompt system
Multi-scenario models generated and stress-tested with AI support
Board packs and exec summaries assembled with consistent storytelling
Business partnering becomes the core of your week — not the leftover
How financial planning and analysis professionals use AI after this course
Practical workflows tailored for financial planning and analysis professionals.
Variance Analysis and Commentary
Move from raw variance grids to driver-based narratives that explain what happened, why, and what to do
about it.
High impact
Rolling Forecasts and Scenario Modeling
Build rolling forecasts with AI-assisted driver discovery, scenario branches, and sensitivity analysis
your leadership can trust.
Strategic
Month-End and Quarter-End Acceleration
Shorten close-to-report cycles by automating consolidations, commentary drafts, and recurring reporting
packs.
Time saver
Budget and Forecast Reviews
Turn review meetings into decision meetings with pre-read summaries, exception flags, and follow-up
actions drafted by AI.
Execution
Board and Exec Reporting
Create board packs and executive summaries that connect numbers to strategy, not just tables and charts.
Popular
Business Partnering Conversations
Prepare for business partner meetings with tailored analyses, benchmarks, and recommended trade-offs per
function.
Eligibility overview for AI for FP&A learners. Built for practical adoption, not technical prerequisites.
Section
Candidate Type
Eligible?
Typical Requirement
Notes
Primary fit
FP&A analysts and senior analysts
Yes
Own a planning cycle or reporting pack
Every module maps to a standard FP&A deliverable — variance, forecast, scenario, board pack.
Primary fit
FP&A managers and directors
Yes
Lead a planning team or business unit finance
Use the course to standardize how your team produces analysis and commentary.
Primary fit
Finance business partners
Yes
Embedded in a commercial, product, or ops function
Strong fit for turning partner conversations into decision-grade analysis.
Adjacent backgrounds
Corporate controllers and accounting managers
Yes
Oversee close and reporting
Useful for accelerating close commentary and bridging reporting to planning narratives.
Adjacent backgrounds
Strategy and corp dev professionals
Yes
Build business cases and strategic models
Highly relevant for scenario work, benchmarking, and exec-ready narratives.
Adjacent backgrounds
CFOs of small and mid-market companies
Yes
Own the full finance stack
Shortens the path from numbers to decisions for leanly staffed finance teams.
Experience level
Early-career FP&A professionals
Yes
1–3 years in a planning role
Builds modern AI skills on top of core FP&A fundamentals.
Experience level
Mid-career FP&A professionals
Yes
4–10 years of planning experience
Best fit — existing domain expertise plus immediate application to your current cycle.
Experience level
Senior finance leaders
Yes
Head of FP&A, VP Finance, CFO
Useful for designing an AI-enabled operating model across the finance organization.
Course Modules
3 units · 30 lessons · ~6 hours total duration
Lesson 1 - How AI Fits in Modern FP&A
Understand how ai fits in modern fp&a and apply it to your daily workflow.
Lesson 2 - Data Consolidation and Month-End Prep with AI
Put data consolidation and month-end prep with ai into practice with hands-on exercises drawn from
real ai for accountants scenarios.
Lesson 3 - Policy, Standards, and Technical Research Assistants
Tackle policy, standards, and technical research assistants with a proven approach that saves time
and reduces common mistakes.
Lesson 4 - Reading Contracts, Leases, and Commentary at Scale
Build confidence in reading contracts, leases, and commentary at scale with structured exercises
and immediate, practical application.
Lesson 5 - Drafting CFO-Ready Commentary and Narratives
Put drafting cfo-ready commentary and narratives into practice with hands-on exercises drawn from
real ai for accountants scenarios.
Lesson 6 - AI-Assisted Variance Analysis and Driver Trees
Work through ai-assisted variance analysis and driver trees with examples that mirror the
challenges financial planning and analysis professionals face every day.
Lesson 7 - Rolling Forecasts and Scenario Modeling with AI
Break down rolling forecasts and scenario modeling with ai into clear steps you can execute within
a single work week.
Lesson 8 - From Reporting to Business Partnering with AI
Move from reporting to business partnering with ai with a clear, step-by-step AI process.
Lesson 1 - AI and the New FP&A Operating Model
Learn how ai and the new fp&a operating model fits into your broader workflow and where it
delivers the highest value.
Lesson 2 - Market, Macro, and Competitor Research for Finance
Tackle market, macro, and competitor research for finance with a proven approach that saves time
and reduces common mistakes.
Lesson 3 - Turning Raw Numbers Into Management Insights
Break down turning raw numbers into management insights into clear steps you can execute within a
single work week.
Lesson 4 - Driver-Based Scenario Planning for the Business
Build confidence in driver-based scenario planning for the business with structured exercises and
immediate, practical application.
Lesson 5 - Budget Reviews and Business Review Meetings
Take control of budget reviews and business review meetings using structured analysis and clear
action plans.
Lesson 6 - Board Packs and Exec Storytelling with AI
Develop your skills in board packs and exec storytelling with ai through guided modules designed
for working professionals.
Lesson 7 - Communicating Trade-Offs to Non-Finance Stakeholders
Apply communicating trade-offs to non-finance stakeholders directly to your role with step-by-step
guidance tailored for financial planning and analysis professionals.
Lesson 8 - Data Governance, Audit, and AI Controls in Finance
Navigate data governance, audit, and ai controls in finance with clear policies that protect both
your team and your users.
Lesson 1 - ChatGPT as an LLM
Build confidence in chatgpt as an llm with structured exercises and immediate, practical
application.
Lesson 2 - Discovering Modes & Features
Gain hands-on experience with discovering modes & features using prompts and templates built
for financial planning and analysis professionals.
Lesson 3 - Voice Mode
Put voice mode into practice with hands-on exercises drawn from real chatgpt scenarios.
Lesson 4 - ChatGPT & Apps
Apply chatgpt & apps directly to your role with step-by-step guidance tailored for financial
planning and analysis professionals.
Lesson 5 - Image Generation With ChatGPT
Tackle image generation with chatgpt with a proven approach that saves time and reduces common
mistakes.
Lesson 6 - Stay Organized: Projects
Put stay organized: projects into practice with hands-on exercises drawn from real chatgpt
scenarios.
Lesson 7 - Custom GPTs for Variance Analysis and Commentary
Break down custom gpts for variance analysis and commentary into clear steps you can execute
within a single work week.
Lesson 8 - Automating Recurring FP&A Deliverables
Cover automating recurring fp&a deliverables end to end and walk away with a reusable playbook
for your workflow.
Lesson 9 - Writing Commentary That Business Leaders Actually Read
Work through writing commentary that business leaders actually read with examples that mirror the
challenges financial planning and analysis professionals face every day.
Lesson 10 - Fast Research for Board Prep and Benchmarking
Gain hands-on experience with fast research for board prep and benchmarking using prompts and
templates built for financial planning and analysis professionals.
Lesson 11 - Running the Annual Plan as a Multi-Step Project
Work through running the annual plan as a multi-step project with examples that mirror the
challenges financial planning and analysis professionals face every day.
Lesson 12 - Organizing the Finance Team's Prompt Library
Cover organizing the finance team's prompt library end to end and walk away with a reusable
playbook for your workflow.
Lesson 13 - Create Content for Any Platform
Create content for any platform with structured prompts and a repeatable QA process.
Lesson 14 - Bring a Creative Idea to Life
Develop your skills in bring a creative idea to life through guided modules designed for working
professionals.
Official Certificate
Earn Your AI Certification
with Coursiv
Complete every FP&A-focused module — variance, forecasts, scenarios, board storytelling, and
governance — to earn your Coursiv AI for FP&A certificate.
Add to LinkedIn
Showcase your AI expertise on your professional profile
AI augments the text-heavy and pattern-heavy parts of FP&A: commentary writing, driver discovery,
scenario generation, benchmarking, and recurring reporting. The numbers still live in your ERP, planning
tool, and models — AI accelerates the analysis and communication layers on top.
Sensitive financial data should never go into a public ChatGPT session. The course covers which data
classes are safe to prompt with, how to anonymize figures, when to use enterprise ChatGPT or Claude with
data controls, and how to document your AI use for SOX and audit purposes.
No. Anaplan, Pigment, Workday Adaptive, Vena, NetSuite, and Excel remain the system of record. AI for
FP&A focuses on the analyst layer around those tools — faster variance narratives, cleaner commentary,
smarter meeting prep, and better board storytelling.
Yes. A core outcome of the program is shifting FP&A time from pulling numbers to advising the
business. You will leave with prompt frameworks for driver trees, scenario conversations, and executive
narratives that position finance as a strategic partner.
You need to be comfortable with Excel and standard FP&A concepts like variance, driver-based planning,
and rolling forecasts. No coding is required — every workflow is done with ChatGPT, Claude, and your
existing FP&A tools.
The Coursiv AI for FP&A certificate demonstrates applied AI skills in a finance context. It
complements credentials like CFA, CPA, and FMVA by proving you can operate the modern AI-enabled FP&A
workflow, which is increasingly called out in senior FP&A job descriptions.
Related courses for financial planning and analysis professionals
Practical workflows tailored for financial planning and analysis professionals.
A hands-on AI for FP&A course that teaches financial planning and analysis professionals how to apply AI
across variance analysis, forecasting, scenario modeling, and board-ready reporting.
Why FP&A Is the Highest-Leverage Use Case for AI in Finance
FP&A sits in the sweet spot where AI delivers the most value in finance. Unlike controllership, where
accuracy and audit trails dominate, FP&A is text-heavy, scenario-heavy, and narrative-heavy — exactly the
work that modern large language models are good at. Commentary writing, driver discovery, scenario
generation, benchmarking, and executive storytelling all become dramatically faster when you have a
repeatable AI workflow on top of your existing planning stack. This course is built for FP&A professionals
who want to keep their systems of record in place and layer AI on top to get more analytical work done in
less time.
Variance Analysis and Commentary That Actually Gets Read
Most variance commentary is forgotten the moment the review meeting ends. In this program you will learn how
to build driver-based commentary that connects the what, the why, and the so-what in a way business leaders
actually use. You will work through a repeatable prompt system for month-end narratives, learn how to
surface second-order drivers, and practice writing commentary that points to clear next actions rather than
restating the numbers. By the end of the module you will have a reusable Custom GPT you can run each close
cycle.
Rolling Forecasts and Scenario Modeling with AI
Rolling forecasts are only as good as the drivers behind them. AI helps you explore a wider set of scenarios
— optimistic, pessimistic, stress cases, structural breaks — without spending a week building each one by
hand. You will learn how to let AI suggest candidate drivers, how to pressure-test a forecast against macro
and sector signals, and how to generate sensitivity analyses that hold up under executive scrutiny. The goal
is not replacing your planning tool, it is getting more analytical range out of the cycles you already run.
Board Packs, Exec Summaries, and FP&A Storytelling
FP&A's influence ultimately depends on how well numbers translate into decisions. This course dedicates a
full module to board and exec storytelling with AI: structuring a board pack around three or four decisions,
writing a CFO-ready one-pager, and turning dense variance tables into narrative arcs executives can follow.
You will leave with templates you can adapt for quarterly board meetings, monthly leadership reviews, and
ad-hoc deep dives — all drafted with AI and polished by you.
Governance, Audit, and Responsible AI in Finance
Finance is a high-stakes environment for AI use, which is why this program dedicates meaningful time to
governance. You will learn what financial data classes are safe to use with public versus enterprise AI
tools, how to anonymize figures for prompting, how to document your AI use for SOX and audit reviews, and
how to set team-level guardrails that keep the finance function compliant. By the end, you have a defensible
process you can share with internal audit, IT, and your CFO before expanding AI use across the function.
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