Driver-Based Budgeting
& Scenario Analysis

How a healthcare group replaced rigid static budgets with a flexible, continuously-updated, driver-based model - and saved 650+ hours annually.

Static Budgets Can't Keep Up

Traditional budgeting is built for a world that doesn't exist anymore. It assumes stability, predictability, and the luxury of time. Healthcare has none of those.

Most organizations still budget the same way they did 20 years ago: start in Q3, fight over line items for 8-12 weeks, publish a static document in January, and watch it become irrelevant by March. When assumptions change - and in healthcare, they always do - the budget can't flex with them.

4-6 weeks
average budget cycle length for mid-market companies with traditional process
AFP FP&A Benchmarking Report, 2025
75%
of CFOs say their budgets are outdated within 90 days of approval
Deloitte CFO Signals Survey, 2025
$5.3B
projected corporate performance management software market by 2030
MarketsandMarkets, 2025

Enterprise CPM tools like Adaptive Planning and Anaplan address this for large corporations. But multi-location healthcare groups running Infor or Sage are often stuck with static spreadsheets - and the painful budget season that comes with them.

Meet the Client

A healthcare group with 5 locations, 800+ employees, and $50M in annual revenue. They ran Infor as their ERP and budgeted the old way - line by line, department by department, once a year.

Each annual budget cycle consumed 600+ hours across the finance team and department heads. The VP of Finance coordinated assumptions, chased down inputs from 12 department managers, consolidated everything in Excel, and presented a final budget that was already outdated by the time it was approved.

Scenario analysis? Theoretically possible. Practically? Never. Running one "what-if" scenario - say, a 10% drop in patient volume - required rebuilding the entire model. Nobody had the time.

"Budget season was our Q4 nightmare. We'd spend 6 weeks building a budget, then spend the next 12 months explaining why reality didn't match it." - VP of Finance, Client Company

The real cost wasn't just time - it was agility. When the board asked "what happens if reimbursement rates drop 5%?", the answer took a week. When a competitor opened a new facility nearby, the team couldn't model the revenue impact for two months. The budget was supposed to be a planning tool. Instead, it was a planning constraint.

The Annual Budget Process

1
Collect assumptions
12 departments
2
Build line-item budget
600+ hrs total
3
Iterate versions
3-5 revision rounds
4
Consolidate entities
Manual roll-up
5
Present to board
Already stale
6
File and forget
No scenario flex

The budget was a static document. When the world changed - and in healthcare, it changes constantly - the budget couldn't change with it. Patient volume shifts, staffing changes, new regulations - every surprise required manual rework that the team simply couldn't absorb.

How We Built the AI Solution

We replaced their static budgeting process with a driver-based model that connects to Infor and updates automatically. The core innovation: instead of budgeting by account, we modeled the business drivers.

Patient volume, staffing ratios, revenue per patient, supply costs per procedure - these are the levers that actually drive healthcare financials. We modeled the relationships between drivers and financial outcomes, so changing one driver automatically recalculates everything downstream.

Leadership can now run unlimited scenarios using sensitivity sliders: What if patient volume drops 10%? What if labor costs increase 5%? What if we open a 6th location? Results appear instantly across Base, Upside, and Downside scenarios.

Driver-based budgeting platform with scenario comparison and sensitivity sliders
Scenario comparison view: Base, Upside, and Downside with sensitivity sliders for key business drivers

Driver-Based Models

Build budgets from business drivers - volume, pricing, staffing ratios - not individual GL lines

Unlimited Scenarios

Run Base, Upside, and Downside scenarios with any combination of driver assumptions

Sensitivity Sliders

Drag sliders to see instant EBITDA impact of +/-10% volume, +/-5% labor cost, and more

Continuous Forecasting

Replace discrete annual budgets with continuously-updated, rolling forecasts tied to Infor actuals

Before vs. After

Metric
Before
After
Budget cycle length
4-6 weeks
< 3 days
Annual hours spent
600+ hours
< 50 hours
Scenario analysis
Never (too slow)
Unlimited, instant
Budget freshness
Static (annual)
Rolling (weekly updates)
"What-if" response time
1-2 weeks
10 minutes
Annual savings
Baseline
$65K+ from efficiency

Results That Redefine Budgeting

<3 daysBudget cycle
(was 4-6 weeks)
650+Hours saved
annually
AnyUnlimited
scenarios
$65K+Annual savings
from efficiency

But the real impact was strategic. When the board asked about the financial impact of opening a 6th location, the VP of Finance had the answer in the same meeting - not two months later. Budget season went from a Q4 nightmare to a 3-day process. And the model now updates weekly with Infor actuals, giving leadership a living, breathing view of financial performance.

Still Running Budget Season Like It's 2005?

If your budget cycle takes more than a week, your process is holding your strategy hostage. We'll show you how driver-based models can compress months into days.

Get a free workflow analysis →

10-Week Rollout

Weeks 1-3: Discover

Driver identification across all 5 locations, Infor data extraction, and model architecture design. Map the relationships between operational drivers and financial outcomes.

Weeks 4-5: Build

Driver-based engine, scenario framework, and sensitivity controls. Base, Upside, and Downside scenarios with real-time recalculation.

Weeks 6-8: Visualize

Executive dashboards, EBITDA visualization, P&L waterfall charts, and multi-entity consolidation across all locations.

Weeks 9-10: Launch

Department training for all 12 managers, parallel testing vs. static model, board presentation rehearsal, and production go-live.

★★★★★
"Budget season used to dominate our Q4. Now we have a living model that updates weekly. When the board asks 'what if?' we have the answer in 10 minutes - not 10 days. It's completely changed how we think about financial planning."
Sarah W.
Sarah W.VP of Finance, Healthcare

Frequently Asked Questions

Driver-based budgeting builds financial plans from operational business drivers - patient volume, staffing ratios, revenue per unit, material costs - rather than line-item GL accounts. When a driver changes, the entire budget recalculates automatically, enabling real-time scenario analysis and eliminating the need for manual line-by-line revisions.
Traditional budgeting requires manual line-item entry for every GL account, typically taking 4-8 weeks across the organization. Driver-based budgeting models the relationships between operational variables and financial outcomes. Changing one driver (like patient volume) automatically recalculates revenue, staffing, supplies, and all downstream costs - a process that takes seconds, not weeks.
Yes. The platform connects to Infor via API to pull actuals, creating a continuous feedback loop between budgeted and actual performance. It also works with SAP, Oracle, Dynamics 365, and other ERP systems. Historical data trains the driver relationships, and monthly variances automatically improve forecast accuracy.
Users adjust driver assumptions using sensitivity sliders - for example, +10% patient volume, -5% reimbursement rate, or +3% labor costs. The model instantly recalculates the full P&L, cash flow, and EBITDA impact across Base, Upside, and Downside scenarios simultaneously.
A typical implementation takes 8-10 weeks: 3 weeks for driver identification and ERP data extraction, 2 weeks for the driver-based engine and scenario framework, 3 weeks for dashboards and multi-entity consolidation, and 2 weeks for department training and go-live.
Vlad Ulitovskiy

Vlad Ulitovskiy, MBA, CPA

Accounting & Compliance Lead at Ledger Summit

Vlad is a Certified Public Accountant with deep expertise in compliance, accounting systems, and audit-ready workflows. He brings hands-on experience from roles spanning staff accountant to controller.

At Ledger Summit, Vlad designs AI-powered budgeting and planning solutions that replace static spreadsheet models with intelligent, driver-based systems - giving healthcare and mid-market companies the planning agility they need.

CPAMBADriver-Based BudgetingScenario AnalysisHealthcare Finance

Stop Spending 6 Weeks
on Budget Season

Book a free 30-minute call. Walk away with a workflow map, quick-win list, and a start-here plan - whether you work with us or not.

Book a free call →