Functional Area · FP&A

Financial Planning & Analysis.

Budgeting, forecasting, variance analysis, and performance reporting — designed in Workday Adaptive Planning and built to run reliably every planning cycle without manual rework.

What we deliver
Driver-based budgets and rolling forecasts in Workday Adaptive Planning — built for your business logic
Variance analysis and commentary that finance teams can run and explain at month-end
Scenario planning and what-if modelling connected to your actuals
FP&A reporting and dashboards your finance leadership can act on
Integrated FP&A across revenue, opex, headcount, capex, and cash flow
How we work

A clear process. No surprises.

01

Understand your planning cycle

We map your full FP&A process — budgeting, forecasting, close, and reporting — before designing any model in Workday Adaptive Planning.

02

Design and build the model

Driver-based models built for your business logic — connected to your actuals, documented, and tested before handover.

03

Enable your FP&A team

Training, documentation, and handover so your finance team can run the full planning cycle independently.

Our approach

When FP&A works well, it happens mostly in the background — strategy connects to budget, actuals connect to forecast, and leadership gets answers without finance scrambling. When it doesn't, finance teams spend the planning cycle in spreadsheets and the close cycle chasing numbers.

Workday Adaptive Planning is our primary platform for FP&A architecture. We have designed and delivered FP&A models across revenue, opex, workforce, capex, and cash flow — and the consistent lesson is that the quality of the FP&A system is determined by how well the model reflects the business logic, not by how sophisticated the technology is.

Our FP&A work covers the full scope: model design, integration from source systems, reporting layer, and the process design that connects the planning system to how finance actually works. The output is a finance team that runs its own planning cycle, not one that depends on a consultant.

Where AI fits into FP&A specifically: monitoring forecast accuracy and flagging variance drift earlier in the cycle, using whichever native forecasting tool the platform already provides — Workday's Adaptive Predictive Forecaster and Illuminate, for example — and building custom variance logic only where a specific metric isn't covered natively.

Related services

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Let’s talk about your FP&A planning and modelling.

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