djvu Financial Planning and Analysis After AI Part 1 - The Agentic Stack (English Edition)

The variance report nobody reads is dead. This is the engineering manual for what replaces it.

Every month, FP&A teams produce forty-seven-page reports that arrive twelve days after close, explain the past in passive voice, and change nothing. They are produced, distributed, and ignored. This is variance theater, and it is the opening act of every broken finance function on the planet.

Financial Planning and Analysis After AI is not a vision statement. It is an engineering manual. Forty chapters. Thirty executable deliverables. A ninety-day transformation roadmap. Every workflow specified. Every tool named. Every accuracy mechanism engineered.

The Agentic Stack. A seven-stage pipeline that moves data from source systems to decision artifacts without a human copying a single cell. Extraction via Fivetran. Transformation via dbt. Modeling via Anaplan or Python. The shantytown of manual spreadsheets is demolished.

Decision Engineering. A six-stage pipeline that replaces hallway conversations with structured choice architecture. Opportunity framing. Multi-criteria scoring. Monte Carlo sensitivity. Decision logging with outcome tracking. The model serves the decision. The decision does not serve the model.

Event-Driven Forecasting. The rolling forecast stops waiting for the calendar. It refreshes when deals close, offers are accepted, and contracts renew. Impact quantified within minutes. The forecast is no longer a document. It is a utility that runs.

Scenario Engineering. The three-case theater is replaced with Monte Carlo simulation at scale. Ten thousand iterations. Driver correlations modeled with copula methods. Tail-risk combinations identified. The board stops pretending the future is knowable.

Revenue Forecasting by Motion. Sales-led, product-led, and usage-based streams are modeled separately using survival analysis, cohort curves, and consumption regression. The blended average that masks structural failures is replaced with motion-specific precision.

Headcount Survival Analysis. Cox proportional hazards models predict attrition by tenure, department, and compensation percentile. Fully loaded costs include equity valuation. Ghost employee detection runs daily. The largest controllable cost is finally under control.

Variance Analysis That Ends in a Verb. Seven stages: decomposition, attribution, threshold filtering, action extraction using NLP, owner assignment, tracking, and effectiveness learning. Every material variance produces a specific action, owner, deadline, and effectiveness score.

Capital Allocation as Optimization. Mean-variance optimization adapted from Markowitz portfolio theory to corporate initiatives. Efficient frontier computed in seconds. Opportunity cost calculated for every rejected initiative. The conversation shifts from who gets what to what is optimal.

Hallucination Detection. A seven-layer safety system: source grounding, ensemble verification, conformal prediction confidence scoring, deterministic validation, human routing, immutable audit logging, and feedback-driven optimization.

The 90-Day Transformation Plan. Eighteen two-week sprints. Baseline measurement. Charter ratification. First connector live. First automated report. First event-driven update. First automated board pack. Model governance. Accuracy scoring. Capital allocation optimization. Every sprint has a deliverable, a success criterion, and a go/no-go gate.

Who this book is for: CFOs, FP&A leaders, finance directors, and fractional CFOs at companies from $5M to $5B in revenue.

Who this book is not for: Those that believe their manual processes are a competitive advantage.

The tools are ready. The workflows are defined. The roadmap is executable. The only question is whether you will build it or be surpassed by those who do.