Enterprise Singularity

"What Happens If We Lose Our Top 3 Clients?" The CFO Needed Two Weeks to Model It.

The board asked for a downside scenario. Building one alternative budget version took the FP&A team two full weeks. The board only ever saw the base case.

CFOHead of FP&A

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Business Problem

During a quarterly board meeting, a director asked: "What is our exposure if we lose our three largest clients in the next 12 months?" The CFO did not have the answer. The FP&A team used linked Excel workbooks across 8 business units. Building even one alternative scenario meant re-threading revenue assumptions, workforce impacts, and cash flow consequences through every sheet. It took two weeks. By the time the model was ready, the board had already moved on. The enterprise had no way to run scenarios faster than the business changed.

Current Challenges

  • Each scenario required manual re-threading of assumptions across revenue, cost, and cash models. One broken formula in the consolidation sheet invalidated an entire week's work.
  • The revenue model was disconnected from the CRM pipeline. Revenue projections were based on historical trends, not live deal probability.
  • Cash flow had two separate models, a 13-week tactical forecast and an annual strategic forecast, that never reconciled with each other.
  • The board only ever reviewed the base case. In three years, no upside, downside, or stress scenario had been presented because the team could not build them fast enough.

How the Platform Solves It

The FP&A module runs scenario analysis on a live, connected planning model. Unlimited scenario versions, including base, upside, downside, recession, M&A, and client loss, are built on the same consolidated data. Monte Carlo simulation stress-tests key assumptions across probability distributions. Tornado charts isolate which drivers create the most variance. The revenue model connects directly to the CRM pipeline, so forecasts reflect live deal probability rather than historical trends. The 13-week tactical cash forecast and the 12-month strategic forecast share the same data foundation. Five AI agents (Analyst, Planner, Modeler, Narrator, Supervisor) proactively suggest scenario updates when actuals diverge from plan.

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Business Outcomes

  • ✓The "lose top 3 clients" scenario was modeled in under two hours, including revenue, workforce, and cash flow impact, and presented at the next board session
  • ✓Monte Carlo simulation quantified the probability-weighted downside exposure across 500 iterations, replacing single-point guesswork
  • ✓The 13-week and 12-month cash forecasts now reconcile automatically because they share the same planning model
  • ✓The board now reviews 3–4 scenarios per planning cycle. In three years prior, they had seen zero.

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