The last few years have exposed a hard truth: traditional annual planning can’t keep up with a world in constant flux. Static forecasts don’t stand a chance against supply chain shocks, market volatility, or geopolitical curveballs. This new reality has transformed scenario planning from a nice-to-have exercise into a critical business capability.
Some tools are powerful but so complex they’re only usable by a handful of modeling ninjas. Others are user-friendly but can’t handle the complexity of real-world planning demands. The best scenario planning platforms strike a balance: sophisticated enough for finance, intuitive enough for operators. That’s the sweet spot. Because scenario planning only drives value when all functions can be involved in it, not just the FP&A team.
We reviewed a total of 12 solutions for this updated guide, five each for enterprise and mid-market categories, and another three for small businesses and startups.
To cover the broadest range of possible needs, we’ve broken these tools out into three categories based on the needs of the market sector they target with their solution:
- Enterprise, which is defined as 1000 employees and/or more than $100M ARR
- Mid-market businesses, defined as 50-1000 employees, and/or $5-$100M ARR
- Small businesses, defined as 0-50 employees with greater than $5M ARR
For this evaluation, we consulted a wide range of sources, including vendor websites and product documentation, independent software review platforms, customer testimonials and reviews, and third-party analyst reports.
For each one, you’ll find a summary of the key features related to scenario planning the solution offers, and some of the pros and cons you might want to consider as you evaluate your options.
We’ve also included a new discussion about how AI is being incorporated into the CFO and finance functions today. For this, we highlight three platforms that are leading the way forward with AI in how they are incorporating it into their platforms to enhance their scenario planning and other functions. This information will benefit CFOs and others working in corporate FP&A who want to leverage the power of AI to streamline their work and improve financial performance.
The best scenario planning solutions for enterprises
Enterprise planning has entered a new era. The idea of setting a budget once a year and sticking to it is no longer realistic, especially for very large organizations managing billions in revenue across global operations. For these enterprises, the stakes of scenario planning couldn't be higher. A single percentage point in forecast accuracy can represent tens of millions in bottom-line impact.
Historically, the enterprise scenario planning space has been ruled by legacy vendors that offered powerful modeling capabilities, but only realized after lengthy implementations and steep learning curves. This made sense when planning was a quarterly exercise owned solely by FP&A. Not anymore. Today’s enterprises need tools that combine depth with speed, and control with accessibility. Tools that deliver sophisticated models and get business users involved, all within weeks, not quarters.
In this review, we evaluated scenario planning platforms through a lens that matters at enterprise scale: implementation speed, number of integrations, multi-dimensional modeling, and time-to-ROI. These aren’t nice-to-haves, they’re critical in environments where complexity compounds quickly.
In this guide, we cover five scenario planning software solutions suitable for enterprise organizations: Drivetrain, Anaplan, Workday Adaptive Planning, Oracle Cloud Enterprise Performance Planning (EPM), and Pigment.
Let’s take a look now at how these solutions stack up in terms of their enterprise-level scenario planning features. The table below offers a quick look at that, followed by a more detailed analysis of each solution.
| Software/ Platform |  |  |  |  |  |
|---|---|---|---|---|---|
| Price | $$ | $$$$ | $$$ | $$$$ | $$$ |
| G2 ratings | 4.8 | 4.6 | 4.3 | 4.1 | 4.6 |
| Time to ROI | 6 months | 17 months | 22 months | 25 months | 15 months |
| Time for implemen-tation | 4-6 weeks | 5-7 months | 4-6 months | 5-7 months | 3-6 months |
| No. of integrations supported | 800+ | 60-100 | 300+ | 150+ | 20 |
| Multi-dimensional scenario modeling | |||||
| AI-enabled modeling | |||||
| Collaboration-based access control | |||||
| Multi-curreny support | |||||
| Ease of use |
Our top recommendation for enterprise buyers is Drivetrain. Drivetrain challenges the typical enterprise playbook by making implementation a matter of weeks, not quarters. With go-live timelines of just 4-6 weeks, finance teams can start scenario planning within the same quarter, well before most tools even finish setup.
What sets Drivetrain apart is its ability to deliver advanced modeling without the usual complexity. The platform combines robust, multi-dimensional scenario capabilities with an Excel-like interface that feels intuitive from day one. Finance teams can quickly evaluate different growth drivers and decide optimal resource allocation through flexible scenario modeling. This eliminates dependencies on developers or expensive consultants.
Drivetrain facilitates cross-functional collaboration with features that make it easy for finance and other business teams to align. Teams can collaborate on plans and budgets across departments while maintaining centralized control of the overall process. The platform's robust role-based access controls eliminate the need to share department-level spreadsheets, as non-finance stakeholders can understand models written in plain English and input data directly within a secure environment.
It also solves a persistent issue in planning: data fragmentation. With 800+ native integrations across ERP, CRM, HRIS, and other systems, Drivetrain makes a single source of truth a reality. The result is faster, more accurate scenario planning, powered by current, connected data.
With a time-to-ROI of around six months, Drivetrain delivers measurable value long before competitors have finished onboarding. For finance teams under pressure to plan, pivot, and prove impact quickly (which is pretty much every enterprise finance team), Drivetrain proves to be an obvious choice.
Intuitive visualizations to compare scenarios quickly
Customizable forecasting models
Automated reporting with easy-to-use dashboards
Unparalleled customer support
Multiple strategic budgeting methods are supported
Ability to implement rolling budgets/forecasts
Advanced collaboration features
Heavily focused on B2B businesses
Multi-scenario planning and what-if analysis
Agile forecasting and reforecasting capabilities
Variance analysis (actuals vs. forecast and budget)
Multi-dimensional revenue modeling with multi-currency support
.webp)
Anaplan has built its reputation on complex modeling capabilities, and its Hyperblock engine still delivers impressive outcomes for organizations with intricate planning requirements. The platform excels at handling massive, multi-dimensional models spanning numerous business functions, which is particularly valuable for global enterprises. When it comes to core modeling capabilities for complex scenario planning, Anaplan remains a serious contender.
The trouble starts when you look beyond the technical specifications to the actual onboarding. Anaplan’s implementations generally demand specialized consultants and significant training investments, resulting in higher total cost of ownership (TCO) beyond the initial purchase price. This complexity also limits widespread adoption across finance organizations, as the technical barriers can restrict scenario planning capabilities to specialized power users rather than democratizing the process.
While Anaplan delivers comprehensive technical capabilities suitable for global enterprise organizations, its onboarding requirements and learning curve are significant considerations. The platform is best aligned with large enterprises that have the resources to support extended implementation timeframes and specialized expertise requirements. Organizations must carefully evaluate whether the sophisticated capabilities Anaplan can provide justify the extended implementation period and large investment, particularly when more agile alternatives exist in the market with much faster deployment timelines.
Powerful Hyperblock engine capable of handling highly complex dimensional modeling
Robust multi-currency functionality built for global enterprises
Established market presence with depth in certain industries
Painfully long implementation cycles (5-7 months)
A steep learning curve that effectively restricts modeling to specialized power users
Considerable ongoing consulting costs that inflate TCO
An extended ROI timeline (~17 months) that ties up capital without delivering value
Modeling approach that prioritizes complexity over accessibility
Complex hierarchy management for enterprise-wide modeling
Detailed version control for scenario comparisons
Formula-based calculations for sophisticated scenario rules
Workday Adaptive Planning occupies a middle ground in the scenario analysis tools, neither the fastest to implement nor the most painful. Its moderate 4-6 month implementation timeline makes it quicker than other traditional enterprise platforms, but still requires a full quarter or more before organizations can use it for more complex scenario modeling projects.
The unlimited scenario capabilities provide solid support for exploring various business possibilities, though the platform's multi-dimensional modeling lacks some of the sophistication found in more advanced alternatives.
The most puzzling aspect of Adaptive Planning is its surprisingly long 22-month time to ROI. This extended value timeline suggests core issues with either functionality adoption, business impact, or hidden costs, and that’s something future buyers should be concerned about.
While the platform's 60+ integrations provide good connectivity and existing Workday customers benefit from ecosystem integration, the ROI timeline indicates organizations should prepare for a prolonged period before seeing substantial outcomes. Finance leaders accustomed to justifying technology investments to their board may find this extended payback period particularly challenging to defend when faster-value alternatives exist in the market.
Driver-based forecasting
Transactional-level drill-down capabilities
Good reporting capabilities
The formula builder uses its proprietary syntax, which, combined with a less-than-user-friendly help system, results in a steep learning curve.
No root cause analysis (RCA) capabilities
Module dependencies that may require additional purchases for complete functionality
Driver-based scenario modeling
Integrated financial planning
Multi-currency support
Oracle Cloud EPM
Oracle Cloud EPM represents the old era of enterprise scenario planning: powerful but cumbersome. Its computational abilities remain impressive, particularly for organizations with massive data volumes and sophisticated modeling requirements. For enterprises deeply embedded in the Oracle ecosystem, these capabilities can provide considerable value within a familiar technology environment.
These strengths, however, come with significant limitations. The 25-month time to ROI feels glacial in today's business environment, forcing organizations to endure extended periods without modern scenario planning capabilities.
Oracle Cloud EPM's interface includes a relatively steep learning curve that can limit broad adoption across finance organizations. This complexity often restricts scenario planning capabilities to select users rather than enabling collaborative planning processes.
While the platform delivers significant technical capabilities suitable for complex enterprise requirements, organizations should carefully evaluate whether these capabilities justify the extended implementation timeline, significant investment, and adoption challenges. The platform is best aligned with large enterprises that have the resources to support specialized expertise and can accommodate extended value timelines.
Scenario modeling that handles enterprise-scale planning requirements
Comprehensive multi-currency capabilities for global operations
Deep Oracle ecosystem integration that benefits existing Oracle customers
Lengthy implementation timeline (5-7 months) that delays strategic capabilities
Questionable ROI timeline (25 months) that suggests fundamental value delivery issues
Interface complexity that restricts usage to technical specialists
Integration challenges outside the Oracle ecosystem that limit data accessibility
Substantial total cost that includes significant implementation and support expenses
Freeform, ad-hoc modeling for complex scenario development
Predictive planning leveraging statistical methods
Sandboxing capabilities for isolated scenario planning
Pigment brings a distinctly modern approach to scenario planning with an emphasis on visual data representation and collaboration. The platform makes scenario planning more accessible through intuitive design and visualization capabilities that translate complex models into understandable insights. This approach helps bridge the gap between financial modelers and business stakeholders, increasing the likelihood that scenario planning will influence strategic decisions rather than remaining a finance-only exercise.
With around 20 integrations, Pigment provides adequate connectivity to common business systems, though its integration network is less extensive than some competitors. This limitation may affect organizations with diverse tech stacks that require broad connectivity across various systems.
While the platform provides meaningful visualization and collaboration capabilities that enhance scenario planning processes, organizations should evaluate whether its integration limitations and ROI timeline align with their specific requirements.
Modern visual approach that makes complex scenarios more accessible
Robust collaboration framework that democratizes planning processes
Intuitive design that reduces training barriers compared to legacy platforms
Limited integration network (~20) that may require specialized skills and resources to develop custom connections
An extended value timeline (15 months) that delays ROI compared to more efficient alternatives
Formatting restrictions that limit customization and flexibility
Dependence on third-party implementation partners
Visual scenario comparison for improved understanding
Fine-grained access controls for collaborative planning
Direct data connections to source systems
Integrated dashboards for scenario visualization
The best scenario planning solutions for mid-market companies
For mid-market companies, scenario planning often feels like building a jet while it’s in the air. One quarter you’re expanding into new regions, the next you're adjusting to supply chain shocks or shifting demand. And through it all, the finance team is expected to fly right with clarity and speed, all the while with lean teams and limited tools.
These companies don’t need enterprise-grade software that takes months to implement and an army to maintain. What they need is a solution that’s powerful, but practical. One that helps them model what-if scenarios without needing to call in a consultant every time something changes.
The right scenario planning tool fits into the rhythm of a busy finance team. It connects easily with the systems they already use, delivers insights quickly, and is simple enough for others across the company to collaborate. It turns finance from a reporting function into a strategic engine.
When your team can test multiple outcomes, anticipate risks, and adjust plans quickly, you're not just reacting to change; you’re staying ahead of it.
In this section, we cover five scenario planning solutions with features that meet many of these and other needs of mid-market businesses. They are Drivetrain, Cube, Vena, Planful, and Mosaic. The table below offers a quick comparison of their relative strengths and weaknesses in terms of scenario planning capabilities for mid-market businesses. Below the table, you’ll find a detailed description of each solution to help you better evaluate them for your unique business.
| Software/ Platform | |  |  |  |  |
|---|---|---|---|---|---|
| Price | $$ | $$ | $$$ | $$$ | $$$ |
| G2 ratings | 4.8 | 4.5 | 4.5 | 4.3 | 4.7 |
| Time to ROI | 6 months | 10 months | 20 months | 17 months | 8 months |
| Time to Implemen-tation | 4-6 weeks | 2-3 months | 4-6 months | 4-6 months | 2-3 months |
| No. of integrations supported | 800+ | 50+ | 100+ | 16 | 30+ |
| Multi-dimensional scenario modeling | |||||
| AI-enabled modeling | |||||
| Collaboration with access controls | |||||
| Multi-currency support | |||||
| Ease of use |
With an impressive balance of speed, flexibility, and sophisticated modeling capabilities, Drivetrain emerges as the standout solution in scenario modeling tools for the mid-market segment. Its implementation time of just 4-6 weeks dramatically outpaces competitors, enabling finance teams to derive value almost immediately rather than waiting quarters for deployment.
The platform's exceptional 800+ integrations ecosystem provides unmatched connectivity, allowing teams to pull real-time data from virtually any business system into scenario models. This proves critical when testing multiple business assumptions across various systems and data sources.
What truly distinguishes Drivetrain is its ability to deliver enterprise-grade, multi-dimensional scenario modeling at mid-market pricing. The platform allows finance teams to create complex, driver-based models that can be modified instantaneously to test various hypotheses across different dimensions of the business.
The combination of a high G2 satisfaction score with a short road to ROI makes Drivetrain an ideal choice for all mid-market orgs.
Fastest implementation time (4-6 weeks) and quickest ROI (6 months)
Extensive integration ecosystem with 800+ connections
Mid-market pricing with enterprise-grade capabilities
Exceptional ease of use for finance and non-finance users alike
Heavily focused on B2B businesses
Real-time multi-dimensional scenario modeling
AI-powered driver identification and impact analysis
Driver-based assumption management with version control
Automated variance analysis between scenarios
Collaborative workflow with role-based permissions
Visual dashboards for scenario comparison
Cube offers a spreadsheet-native approach to scenario planning that appeals to many finance teams. The platform's integration with Excel and Google Sheets provides a familiar environment for building scenarios, although the total number of system integrations (~50) limits the scope of data that can be easily incorporated compared to more connectivity-focused alternatives. This forces some manual data management processes that can introduce delays and potential errors in scenario modeling.
Implementation timelines for Cube typically extend to 3-4 months, significantly longer than more agile solutions. This delays the realization of benefits from scenario planning initiatives. While the platform provides competent multi-dimensional modeling capabilities, its AI functionality lags behind industry leaders like Drivetrain, reducing the potential for automated pattern recognition and scenario generation.
The collaboration features seem basic when compared to other alternatives for mid-market businesses. The platform performs effectively for finance-led scenario planning but may struggle with broader cross-functional planning where non-finance stakeholders need to actively participate in the scenario creation and review process.
Native integration with Excel and Google Sheets
Adequate multi-dimensional scenario modeling
Solid multi-currency support
Side-by-side scenario comparison functionality
Limited integration ecosystem (~50 connections)
Longer implementation timeline (3-4 months)
Limited AI capabilities
Spreadsheet-native scenario building
Template-based scenario planning models
Financial statement impact analysis
Vena
Vena is an Excel-based financial scenario planning software that offers solid functional capabilities but suffers from substantial time-to-value challenges. With the longest ROI timeline among the compared vendors at 20 months, organizations must commit to a significant investment period before realizing the full benefits of Vena's scenario planning capabilities.
The platform provides multi-dimensional scenario modeling and multi-currency support, making it suitable for complex modeling needs across international operations. However, Vena demonstrates limitations in AI-enabled modeling capabilities, potentially constraining its ability to provide intelligent forecasting insights or automated scenario generation based on historical patterns. This technological gap may become increasingly problematic as AI becomes more central to effective scenario planning processes.
Organizations that heavily prioritize Excel compatibility in their scenario planning approach may find Vena suitable, but those seeking faster ROI or more advanced AI-driven scenario capabilities would likely find the platform's limitations challenging for fast-evolving FP&A requirements.
Excel-native interface familiar to finance teams
Solid multi-currency support for global operations
Robust multi-dimensional modeling for complex scenarios
Longest ROI timeline (20 months) among all compared vendors
Limited AI capabilities for intelligent scenario generation
Steeper learning curve for non-finance users
Implementation requires a substantial time investment (4-6 months)
Excel-native modeling environment
Workflow management for scenario approvals
Multi-dimensional modeling capabilities
Planful offers scenario planning capabilities with multi-dimensional modeling features, allowing finance teams to create complex models across business dimensions. The platform delivers basic AI capabilities that enhance scenario analysis, though these have come under a lot of heat from users and are charged at a premium price point that may be restrictive for mid-market organizations.
Planful provides little to no native integrations, instead relying on a third-party integration platform, Boomi, an approach that adds complexity and cost, driving up both the TCO and time to ROI.
Planful's collaboration capabilities with workflow management and role-based security are well-designed for structured scenario planning processes. However, the platform's user interface presents a steep learning curve for users, potentially limiting broad organizational participation in scenario planning initiatives.
Modern visual approach makes complex scenarios more accessible
Robust collaboration framework democratizing planning processes
Limited dimensions supported
Lack of native integrations
Report templates that are difficult to set up
Steep learning curve
Long and expensive implementation by third-party consultants
Rolling forecast functionality
Driver-based modeling capabilities
Pre-built templates for modeling
Mosaic is a strategic planning and analysis tool founded in 2019 with a focus on supporting collaborative planning and consolidating data across ERP, CRM, and HR systems. In February 2025, Mosaic was acquired by Hibob, a platform that serves the HR needs of mid-market businesses.
While we could have eliminated it from this guide, we decided to include our evaluation of its scenario modeling capabilities here to provide current Mosaic customers a deeper look into a few alternatives that may be suitable for their needs.
Mosaic provides the standard scenario analysis tools, making it suitable for basic to intermediate financial planning needs. In terms of advanced scenario planning, this means sufficient support for the usual planning and analysis activities of mid-market businesses. However, more sophisticated demands may require secondary solutions.
The platform's role-based access control and basic multi-currency support provide core functionality for mid-market companies but may not fully address the needs of rapidly growing organizations or those with complex international operations. Lack of customization and rigidity of the platform are some of the most common complaints by Mosaic users.
Easy to use and set up
Good monitoring capabilities
Intuitive dashboards
Limited integrations
Model templates are rigid
Lacks root cause analysis capabilities
Version control of models is confusing
Doesn’t support weekly reporting
Real-time data integration
Scenario modeling
Predictive analytics
The best scenario planning solutions for small businesses
Selecting tools for scenario planning represents an important decision for small businesses navigating market uncertainty while managing limited resources. Budget constraints, rapid implementation needs, and varied technical skills within teams create distinct requirements that differ substantially from enterprise or mid-market buyers.
Most small businesses must balance the sophistication needed for strategic planning with practical considerations such as minimal training requirements, immediate productivity gains, and integration with existing systems. The spectrum of available solutions ranges from purpose-built financial planning tools to familiar spreadsheet applications, each offering different tradeoffs in functionality, cost, and complexity.
This comparison evaluates three distinct approaches: Causal's modern interface designed for financial professionals without extensive technical backgrounds, Jedox's sophisticated platform capable of complex multi-departmental modeling, and Microsoft Excel with its almost universally recognized spreadsheet environment with built-in scenario analysis features. Understanding how these vendors address implementation timelines, integration capabilities, and user accessibility enables informed selection based on specific organizational priorities.
| Software/ Platform |  |  | .svg.png) |
|---|---|---|---|
| Price | $$ | $$ | $ |
| G2 ratings | 4.6 | 4.4 | 4.7 |
| Time to implementation | 2-4 weeks | 4-6 months | 1-2 weeks |
| Out of box integrations | 19+ | 17 | NA |
| Quick-start template | |||
| Multi scenario planning | |||
| Cashflow forecasting | |||
| Collaboration with role-based-access | |||
| Ease of use |
Causal
Causal positions itself as a modern alternative to traditional spreadsheets for scenario planning and financial modeling. Its strength lies in the ability to create multiple scenarios with plain-English formulas, reducing complexity and error risk common in spreadsheet-based planning. The platform's direct integrations with accounting systems (QuickBooks, Xero) and other data sources ensure models remain current with minimal manual intervention, which is critical for accurate scenario planning in dynamic business environments.
For small businesses, Causal's approach to scenario modeling provides significant value through its structured modeling system and visual outputs. The platform organizes models by inputs, calculations, and outputs, maintaining clarity even with complex scenarios. Its ability to work with ranges rather than fixed values allows users to explore the full spectrum of possible outcomes, which is essential for effective risk assessment in scenario planning. The shareable interactive dashboards make scenario planning outcomes accessible to stakeholders outside of the finance team.
Interactive modeling capabilities make scenario planning intuitive
Visual interface helps communicate complex financial data to stakeholders
Quick implementation and minimal setup requirements
Strong integration with common startup tools (QuickBooks, Stripe, etc.)
Built-in templates specifically designed for startup metrics and SaaS modeling
Advanced features have a steeper learning curve
Advanced analytical features are lacking
Integrations can be challenging for some third-party software
Template customization options are limited
Reporting templates may require significant modification
Interactive modeling with dynamic variables
Driver-based forecasting capabilities
Scenario modeling with real-time updates
Revenue and expense modeling
Bottom-up and top-down planning approaches
SaaS metrics tracking and analysis
Jedox
Jedox is an FP&A platform with robust scenario modeling capabilities across multiple business departments. Its strength in scenario planning stems from its ability to handle complex multi-dimensional models that can analyze numerous variables simultaneously.
For businesses requiring sophisticated scenario planning, Jedox delivers value through its unified planning environment where finance, sales, HR, and operations can collaborate on interconnected scenarios. Its Excel integration helps reduce resistance from users familiar with spreadsheets while providing significantly more power for complex scenario modeling. The platform's in-memory processing enables rapid calculation of complex scenario models with large datasets, allowing businesses to explore more scenarios in less time.
Handles complex organizational structures in scenarios
Provides robust security and compliance features
Enables cross-departmental scenario planning
Steeper learning curve than specialized solutions
Higher total cost, including implementation and training
Multi-dimensional modeling capabilities
Advanced data integration with enterprise systems
Excel-compatible interface for familiar interaction
Comprehensive role-based security for collaborative planning
Microsoft Excel
Excel continues to be widely used for scenario planning due to its accessibility, familiarity, and flexible modeling environment. Its Scenario Manager provides built-in functionality for creating and comparing multiple sets of input values, while its extensive formula capabilities can model virtually any business calculation. For many small businesses, Excel represents the most accessible entry point to formal scenario planning.
For budget-conscious small businesses, Excel offers a cost-effective approach to scenario planning without additional software investment. The flexibility to build models from scratch allows customization to specific business needs. However, this flexibility creates challenges in maintaining data currency and model integrity. Excel's limitations for scenario planning primarily relate to manual data management and limited collaborative capabilities, which can lead to outdated information and version control issues when multiple stakeholders are involved in the planning process.
Low-cost solution for most businesses
Highly flexible modeling environment
Quick implementation for basic scenario models
Manual data updating creates a maintenance burden
Limited collaboration capabilities cause version control issues
Complex models become difficult to audit
Not ideal for high-growth businesses
Built-in Scenario Manager for defining multiple scenarios
Data tables for sensitivity analysis
Extensive formula capabilities for custom calculations
Familiar interface with minimal learning curve
The 4 best AI-enabled software for scenario planning
AI is changing how finance teams plan for the future. Gone are the days of scenario planning in static spreadsheets. Today’s leading platforms are using machine learning (ML) and natural language processing (NLP) to automate assumptions, run sensitivity analyses at scale, and generate forward-looking forecasts with more precision and less effort.
From automating historical data prep to surfacing risks in real time, these tools are making scenario planning faster, smarter, and far more actionable. Here's how four top players are using AI to transform scenario planning.
Drive AI by Drivetrain
Drive AI helps finance teams go from “What just happened?” to “What could happen next?" in minutes. It combines automated data transformation, natural language queries, and real-time alerts to make scenario planning frictionless.
- AI Transforms: Automatically processes historical data and turns it into usable assumptions for planning different business scenarios.
- AI Analyst: Ask natural language questions like “What happens to our cash flow if churn increases by 5%?” and get instant, chart-backed answers.
- AI Alerts: Monitors your key scenario metrics in real-time and flags outliers or risks before they snowball.
Together, these features make it possible to build, tweak, and monitor multiple planning scenarios without hours of spreadsheet wrangling.
AI features in Drivetrain that improve scenario planning:
- AI-powered assumption generation from historical data
- Natural language queries on scenario impact
- Real-time variance alerts and risk detection
- Smart sensitivity testing with minimal manual input
Anaplan Intelligence
Anaplan Intelligence adds a layer of AI across its scenario planning capabilities through modules like CoPlanner, Optimizer, and PlanIQ. Each one helps reduce planning friction at a different stage of the process.
- CoPlanner: A conversational AI interface to build or edit planning assumptions collaboratively, without digging through dozens of dashboards.
- Optimizer: Simulates outcomes across multiple constraints—think of it like an AI planning assistant helping you balance growth vs. margins in complex trade-offs.
- PlanIQ: Forecasts how business drivers could evolve using time-series models trained on your historical data.
The result? You don’t just plan for the future, you optimize for it.
AI features in Anaplan that improve scenario planning:
- Time-series forecasting based on historical drivers
- Optimization modeling across constraints and KPIs
- Smart, collaborative planning through natural language inputs
Arc AI by Mosaic
Arc AI makes scenario planning more conversational. Instead of building every version manually, finance teams can run quick “what-if” analyses and generate reporting packages using chat-style queries.
- Ask Arc questions like: “How does our burn rate change if headcount grows by 15%?” and get a scenario-specific breakdown in seconds.
- Generate scenario reports on the fly and share them across teams via Slack or email.
AI features in Mosaic that improve scenario planning:
- Chat-style interface for dynamic scenario queries
- Auto-generated scenario summaries and variance analysis
- Instant insights distribution to stakeholders
Pigment AI
Pigment AI’s biggest advantage lies in how it makes planning data more visual, interactive, and AI-guided.
- Scenario visualization: AI recommends how to present scenario outcomes, tornado charts for sensitivities, waterfall for deltas, etc.
- Prompted modeling: Suggests new angles to explore, like “What is the downstream impact of a 10% churn in top-tier customers on your expansion ARR over the next two quarters," or “Model impact of FX rate drop.”
It’s scenario planning built for accuracy, insight generation, and accelerated decision-making.
AI features in Pigment that improve scenario planning:
- AI-recommended visualizations for scenario results
- Prompt-based scenario testing and drilldowns
- ML-driven forecasts that adapt as new data comes in
Drivetrain vs. the field: Why Drivetrain is the best scenario planning analysis solution
In his book, Good Omens, celebrated author Neil Gaiman once said, “The things that change the world, according to Chaos theory, are the tiny things. A butterfly flaps its wings in the Amazonian jungle, and subsequently, a storm ravages half of Europe.”
While it might seem like an exaggeration, the truth is that businesses today are functioning amid great uncertainty. The market demands that companies act quickly to change and be prepared for various eventualities.
This is exactly why scenario planning is critical.
With Drivetrain, your finance team has a tool that is both powerful and scalable while being simple and efficient for them to do the scenario modeling necessary to reveal deep insights that will help you be better prepared for whatever the market throws at you. Drivetrain makes your data business-ready and easily accessible to stakeholders so they can directly manipulate it for performing analysis and surfacing timely insights for quick decision-making.
In addition to scenario planning, Drivetrain provides a host of other features that will help you identify the highest-value activities that will deliver strategic impacts for your business.
How to choose the best scenario planning analysis software for your business
What is scenario planning software?
Scenario planning software is a tool that helps companies forecast and evaluate future possibilities by creating detailed best-case, worst-case, most-likely, and what-if scenarios. Scenario planning software offers capabilities for modeling, forecasting, and data analysis, enabling users to visualize the potential impact of their bets/assumptions/decisions.
Scenario modeling software enables you to evaluate different scenarios, assess their impact on key business metrics like revenue, profit margins, cash flow, and valuation, and develop contingency plans. It would also help in evaluating the sensitivity of the business to different variables to make more informed strategic decisions.
What are some features to look for in scenario planning software?
There are a lot of great scenario planning tools on the market. The right one will depend entirely on what you want from the tool. Regardless of the size of your business and whatever your industry, there are some features you should keep in mind as you evaluate your options:
1. Scenario modeling and analysis
Scenario modeling is the most important feature to look for in scenario planning software. However, more specifically, this feature should allow you to create and manipulate different scenarios easily, adjusting assumptions and variables to come up with various plausible future outcomes. The tool must also be able to add new scenarios quickly (e.g., most likely/best case, best case, worst case, etc.) with just a few clicks to provide for scenario analysis and agile decision-making.
In addition to ease of use, the features below are “table stakes” for any scenario planning and analysis software tool:
- What if analysis: The scenario analysis software you choose should enable users to test multiple scenarios (for example, lower deal size, higher churn rates, higher attrition, etc.) in a simulated environment. This helps in assessing feasibility, identifying potential pitfalls, and refining strategies.
- Sensitivity analysis: Users need to be able to perform a sensitivity analysis to understand how changes in input variables affect outcomes. This helps in identifying critical drivers of performance and assessing the impact of uncertainties.
- Scenario comparison: The ability to compare multiple scenarios side by side facilitates decision-making by highlighting differences in outcomes and identifying the most favorable or risky scenarios.
2. Native integrations
Integration with financial planning and budgeting systems allows for alignment between scenario planning and financial management processes, ultimately enabling better decision-making.
3. Scalability
SaaS businesses often experience rapid growth and need scalable solutions that can accommodate increasing data volumes and user numbers without sacrificing performance or usability.
As your business grows, you’ll need software that can accommodate increasing volumes of data and more complexity in the potential scenarios you will need to model without compromising performance. This means that the software must be built upon a powerful calculation engine.
4. Collaboration with access control
Collaboration features enable teams to work together in real-time, share insights, and collaborate on scenario development. This may include commenting, version control, and role-based access.
These features are essential in business as cross-functional teams often work together on strategic initiatives, which require a lot of scenario planning.
5. Onboarding, training, and customer success
Onboarding, training, and customer success are crucial for a company to derive real value from an investment in any software tool.
It’s important to carefully look for access to reliable customer support, comprehensive documentation, and training resources, which together can ensure that your team can effectively use the software and quickly get answers to any issues or questions that arise.
FAQ
.svg)
