AI Agents for Scenario Planning

WorkAgentic builds AI agents for financial scenario planning that connect to your ERP, maintain best, base, and downside scenarios simultaneously, and update every scenario automatically when actuals close, so your CFO always has a current forward view without asking FP&A to rebuild the model.

★★★★★4.9 / 5
No technical team needed
Built by CPAs
Book a Free Scenario Planning Audit

No commitment. Response within 24 hours.

Scenario Planning Automation

Six scenario planning workflows your team stops rebuilding manually

Each agent connects to your ERP and planning tools on a defined post-close schedule. No manual model rebuilds, no scenario version confusion, no chasing drivers across spreadsheet tabs.

Multi-Scenario Model Maintenance

  • Maintains base, upside, and downside scenarios simultaneously
  • Updates every scenario automatically when each month of actuals closes
  • Applies your defined driver assumptions across each scenario independently
  • CFO sees current forward view across all scenarios without a rebuild request
  • Scenario assumptions version-controlled and documented automatically

Driver-Based Scenario Updates

  • Each scenario applies a distinct set of driver assumptions
  • When a driver changes, all affected scenarios recalculate automatically
  • FP&A adjusts drivers and the agent applies them across the model
  • No manual formula updates or spreadsheet version management required
  • Driver log maintained for audit and board presentation

Sensitivity Analysis

  • Runs sensitivity tables showing P&L impact across a defined driver range
  • Common drivers: revenue growth rate, gross margin, headcount cost, FX rate
  • Sensitivity tables update automatically as base assumptions change
  • Formatted for direct inclusion in CFO review and board pack
  • No manual sensitivity table rebuild required after each close

Cash Flow Scenario Modelling

  • Models cash position under each scenario using AR, AP, and CapEx assumptions
  • CFO sees cash headroom across base, upside, and downside simultaneously
  • Covenant headroom tracked under each scenario automatically
  • Cash scenario outputs updated as actuals and assumptions change
  • No manual cash scenario spreadsheet required alongside the P&L model

Stress Testing and Downside Analysis

  • Runs defined stress scenarios: revenue shock, margin compression, cost overrun
  • Shows P&L, EBITDA, and cash impact under each stress case
  • Stress outputs updated automatically as actuals close each month
  • CFO reviews current stress position without requesting a model run
  • Formatted for board and investor presentation without manual rebuild

Scenario Output Reporting and Distribution

  • Delivers current scenario outputs to CFO and FP&A on defined schedule
  • Scenario comparison view formatted for management and board review
  • Scenario section populated automatically into board pack if deployed together
  • Each scenario output version-controlled and available for prior period comparison
  • No manual scenario export or reformatting for distribution

Client Reviews

What finance teams say after going live

4.8
★★★★★
Verified clients
★★★★★

We were rebuilding scenarios from scratch every time actuals came in. Three versions of the model circulating by email, nobody sure which one the CFO had last seen. WorkAgentic gave us one model maintained automatically. All three scenarios update when actuals close. The CFO always has the current view and I am not rebuilding anything.

★★★★★

Our CFO used to ask for scenario updates the week before every board meeting. That meant two days of rebuilding models under time pressure. With WorkAgentic the scenarios are always current. The CFO can look at them any time and I do not have to drop everything to rebuild when the board meeting is approaching.

★★★★ 4.5

We had a revenue scenario model that only one person could run. When the assumptions changed, it took half a day to get the updated output. WorkAgentic rebuilt the same driver logic as an agent that updates automatically. When revenue assumptions change, all three scenarios recalculate before the end of the day.

★★★★★

The board always wants to know: what if revenue comes in 10 percent below plan? Before WorkAgentic, answering that question meant calling FP&A and waiting for a model run. Now the downside scenario is always current. I pull it up myself before the board meeting and I know the answer before anyone asks.

★★★★ 4.5

Sensitivity analysis used to take half a day to set up. We needed to know how gross margin moved across a range of revenue assumptions. The WorkAgentic agent runs the sensitivity table automatically and it is in the management pack every month. The answer is already there when the CFO asks.

Our Process

How we deploy your scenario planning agent

Five structured steps from scoping to go-live. No disruption to your current ERP, planning tools, or existing scenario model.

01
Discovery and Systems Audit
Free 30-minute call. We map your ERP, planning tools, existing scenario structure, and driver assumptions. You walk us through it once.
02
Agent Design and Scoping
We define your scenario structure, driver assumptions per scenario, actuals data sources, sensitivity parameters, and delivery schedule before building anything.
03
Build and Integration
We connect to your ERP and planning tools and build the scenario logic. No IT team required. We handle all integrations.
04
Pilot and Validation
The agent runs one full scenario update cycle in parallel with your manual rebuild. Side-by-side comparison confirms accuracy before handoff.
05
Go-Live and Handoff
The agent takes over the scenario maintenance cycle. Your FP&A team keeps review and approval. We monitor accuracy for 30 days after go-live.
01
Discovery and Systems Audit
Free 30-minute call. No preparation needed. We map your ERP, planning tools, existing scenario structure, driver assumptions, and the manual steps your FP&A team runs to rebuild scenarios each cycle. You walk us through it once. We take it from there.
Scenario model map with driver assumptions documented
Planning automation opportunity scorecard
Recommended agent architecture for your scenario structure

Finance AI by Industry

Scenario planning built for your industry

Each agent is configured for that sector's planning drivers, scenario structure, and decision-making cadence.

01
Consumer Packaged Goods
Finance AI Agent for CPG
Volume and price scenario modelling by retailer, trade spend sensitivity, and margin compression scenarios.
  • Trade promotion ROI delivered in 3 days
  • Deductions matched and disputed automatically
  • Retailer reconciliation without manual exports
02
Manufacturing
Finance AI Agent for Manufacturing
Volume and capacity utilisation scenarios, raw material cost sensitivity, and CapEx timing scenario modelling.
  • Plant close time cut by 60 percent
  • COGS and overhead allocation automated
  • CapEx tracked without spreadsheets
03
Hospitality
Finance AI Agent for Hospitality
Occupancy and RevPAR scenario modelling, labour cost sensitivity by property, and renovation CapEx scenarios.
  • Revenue report delivered every morning
  • RevPAR, ADR, and GOPPAR tracked live
  • Procurement close without manual work
04
Ecommerce
Finance AI Agent for Ecommerce
Channel revenue scenario modelling by SKU, returns rate sensitivity, and contribution margin scenarios.
  • Fee reconciliation completed daily
  • Returns finance automated automatically
  • Seller Central and Shopify reconciled together
05
Retail & Wholesale
Finance AI Agent for Retail & Wholesale
Volume and price scenario modelling by account, vendor cost sensitivity, and working capital scenarios.
  • Buyer margin by account and category
  • Vendor payments processed end to end
  • Wholesale P&L without manual consolidation

Built Around Your Workflow

Your scenario data is already in your ERP and planning tools

WorkAgentic builds each scenario planning agent around the systems your team already uses. Your ERP actuals, your planning tool, and your existing scenario driver assumptions are the foundation. We connect to them. No new planning software, no new processes, no change for your team.

Zero new software for your team to learn. The agent runs inside your existing systems. Your team sees the output, not the engine.
100+
systems we connect to
Any API
if it exports data, we connect
N
NetSuite
SAP
SAP
QB
QuickBooks
x
Xero
ORC
Oracle
D365
Dynamics
SGE
Sage
100+
more systems

NetSuite, SAP, QuickBooks Online, Xero, Sage Intacct, Workday, Oracle Financials, and any banking portal with structured data export

Case Studies

AI agents we have already built and deployed

Real deployments. Real outcomes. Each agent was built from scratch around the client's exact workflow.

How a $150M Frozen Foods Distributor Eliminated Overnight Temperature Risk and Prevented $200K–$250K in Annual LossesFrozen Foods / CPG
How a $150M Frozen Foods Distributor Eliminated Overnight Temperature Risk and Prevented $200K–$250K in Annual Losses
A leading frozen foods distributor managed millions of dollars of temperature-sensitive inventory across its refrigerated fleet but had no visibility into trailer temperatures during overnight hours. This created a significant risk of product spoilage, inventory loss, and customer service disruptions.
How a $50M CPG Brand Replaced a $180K TPM System and Unlocked $300K in Annual Value Using Open-Source TPM and Agentic AICPG / Consumer Packaged Goods
How a $50M CPG Brand Replaced a $180K TPM System and Unlocked $300K in Annual Value Using Open-Source TPM and Agentic AI
A $50 million consumer packaged goods (CPG) brand was struggling with the growing complexity of trade promotion management. Despite investing heavily in a traditional TPM platform, many critical processes remained manual, including trade planning, accrual management, deduction reconciliation, customer profitability reporting, and trade spend analysis. The company was spending approximately $180,000 annually on TPM software while dedicating significant internal resources to managing promotions, deductions, and reporting activities.
How a $250M+ Frozen Food Manufacturer Cut Daily Inventory Reporting from 120 Minutes to 5 Minutes and Saved $44,000 AnnuallyFrozen Foods / CPG
How a $250M+ Frozen Food Manufacturer Cut Daily Inventory Reporting from 120 Minutes to 5 Minutes and Saved $44,000 Annually
A $250M+ frozen food manufacturer managed inventory across multiple third-party warehouses and cold storage facilities. Accurate inventory visibility was critical for supply planning, production scheduling, customer service, and inventory management. However, the company relied on a highly manual inventory reporting process that required data from twelve separate sources, including warehouse portals and accounting system reports, to be downloaded, reconciled, and consolidated twice each day.
How a $800M CPG Company Replaced OCR and Manual Data Entry with Agentic AI, Generating $592,000 in Annual Savings and a 4.6x ROICPG / Business Process Outsourcing
How a $800M CPG Company Replaced OCR and Manual Data Entry with Agentic AI, Generating $592,000 in Annual Savings and a 4.6x ROI
A leading business services provider supported multiple consumer packaged goods (CPG) companies with aggregate annual sales exceeding $800 million. The organization was responsible for transcribing retailer deduction documentation, validating deductions against trade promotion planners, proof-of-performance documents, and promotional contracts across multiple customers, channels, and retailer platforms. As client volumes increased, the process of extracting, validating, and transferring retailer data into spreadsheets, reports, and operational dashboards became increasingly dependent on manual labor.

Watch the Agent Work

See a scenario planning agent running live

A walkthrough showing how the agent pulls actuals from the ERP, applies distinct driver assumptions to each scenario, recalculates all three models simultaneously, runs the sensitivity table, and delivers updated scenario outputs without anyone on the FP&A team rebuilding anything.

ERP connection pulling actuals into all scenario models on a post-close schedule
All scenarios recalculated simultaneously using distinct driver assumptions
Sensitivity tables updated and formatted for management and board review
Scenario outputs delivered to CFO and FP&A on the defined schedule
Get Your Agent Today →

No commitment. We demo with a real finance workflow, not a sandbox.

Scenario Planning Agent Demo
3 min · No audio required

Built for Finance Leadership

The right scenario view for every finance role

Each deployment is scoped around how a specific role uses scenario outputs. Your CFO, FP&A director, and board each receive the scenario view matched to how they make decisions.

CFO
Chief Financial Officer

Stops requesting scenario model runs before every board meeting. Gets current scenarios automatically instead.

WHAT CHANGES
Base, upside, and downside scenarios always current without a rebuild request
Cash headroom and covenant position visible under each scenario
Sensitivity tables available before the CFO asks for them
Scenario outputs delivered into the board pack section automatically
FP&A
FP&A Director

Stops rebuilding scenarios every month. Gets models that maintain themselves instead.

WHAT CHANGES
All scenarios update automatically when actuals close
Driver assumptions applied across all scenarios without manual formula work
Sensitivity tables produced automatically without manual scenario rebuild
Scenario comparison view formatted and delivered without FP&A manual work
CONTROLLER
Controller

Stops waiting for FP&A to run a scenario when market conditions change. Gets current views automatically instead.

WHAT CHANGES
Current scenario outputs available to board and management on schedule
Scenario assumptions documented and traceable for investor and board questions
Prior scenario versions accessible for period-over-period comparison
Scenario analysis available without FP&A model rebuild time
Meet Our CEO Haroon Jafree, CPA
25 years as a CFO and finance leader, designing agents around workflows he personally ran
About WorkAgentic

Automate your scenario planning first. Add more finance workflows as your team grows.

WorkAgentic deploys scenario planning automation that connects to your ERP and planning tools, maintains multiple financial scenarios simultaneously, and delivers current scenario outputs to your CFO and FP&A team on schedule without any manual model rebuild.

FAQ

Questions about scenario planning automation

Clear answers on how the agent maintains scenarios, what driver logic it applies, how many scenarios it can run, and what your FP&A team stays responsible for.

Financial scenario planning automation is a process where an agent maintains multiple financial scenarios simultaneously, updates each one as actuals close each month, recalculates driver-based assumptions across the model, and delivers current scenario outputs to defined recipients without anyone rebuilding the model manually. WorkAgentic builds these agents for CFOs and FP&A teams who currently rebuild scenarios from scratch after every close cycle.
A forecast is a single forward-looking financial view based on the most likely set of assumptions. A scenario is one of several parallel views, each built on a different set of assumptions, typically base case, downside, and upside. Scenario planning answers the question: what happens to the P&L, cash, or EBITDA if conditions change? WorkAgentic agents maintain multiple scenarios simultaneously so the CFO always has a current view across all cases, not just the base forecast.
The agent connects to your ERP through its API or structured data export to pull actuals each month. It integrates with NetSuite, SAP, QuickBooks, Xero, Sage Intacct, Oracle Financials, Microsoft Dynamics, and Workday, as well as any ERP with a structured output. For planning tools such as Adaptive Insights, Anaplan, or Oracle EPM, the agent can pull budget and driver data directly. No internal IT team is needed.
Most scenario planning automation deployments go live within 2 to 4 weeks. The process covers defining the scenario structure and driver assumptions, mapping actuals and budget data sources, building the agent, testing scenario outputs against your existing model, and running a parallel update cycle before the manual rebuild process is retired.
No. The agent removes the manual model rebuild and data consolidation steps from the scenario planning cycle. Your FP&A team keeps full responsibility for defining scenario assumptions, reviewing outputs, adjusting drivers, and communicating scenario implications to leadership. The agent maintains the scenarios. Your team sets the strategy behind them.
Yes. WorkAgentic scenario planning agents can be configured to run sensitivity tables that show how the P&L, EBITDA, or cash position changes when a specific driver, revenue growth rate, gross margin, headcount cost, FX rate, moves across a defined range. Sensitivity tables update automatically when actuals change the base assumptions.
The agent can maintain as many scenarios as your finance team defines during scoping. Most deployments run three to five scenarios, base, upside, downside, and one or two stress scenarios. Each scenario has its own set of driver assumptions and updates independently as actuals close.
Yes. Scenario outputs can be formatted and delivered directly into the board pack on the same schedule. When WorkAgentic has deployed both a scenario planning agent and a board reporting agent, the scenario section of the board pack is populated automatically from the latest scenario run without any manual step from the finance team.

Get Started

Ready to stop rebuilding your scenarios every month?

Book a free 30-minute audit. We map your current scenario planning process from driver assumptions to CFO delivery and identify where automation removes the most manual rebuild time first.

Book a Free Scenario Planning Audit →