AI add-on
- AI suggests formulas you still write
- AI summarizes data you already have
- Model logic lives in spreadsheet cells
- AI cannot see your full model structure
- Changes are not tracked with diffs
Resources
AI-native financial planning software
Bridge Town is agent-native financial planning software. Your own AI agent is not a feature layered on top of an existing tool — it is the primary interface for building and maintaining financial models. FP&A teams describe planning logic in plain English; their agent writes the Python through Bridge Town MCP tools, Bridge Town connects the data and runs the model. This page explains what agent-native means in financial planning and how it differs from tools that have added AI features.
Try Bridge Town Free →AI-native vs AI add-on
AI-native (Bridge Town)
- Your agent writes the entire model from your description
- AI has full read-write access to project state
- Model logic lives in versioned Python files
- AI can inspect and modify any assumption
- Every change is committed to project history
How Bridge Town's AI-native workflow works
1Describe your planning model
An FP&A analyst writes a plain-English description of the model they need. For example: "Build a revenue forecast that takes monthly bookings by segment, applies a churn rate, and outputs ARR and net new ARR for the next 18 months."
2Your agent writes and runs the model
Your own AI agent produces the Python model logic through Bridge Town MCP tools; Bridge Town connects the input data and runs the model in a sandboxed compute environment. The analyst sees the output alongside the code that produced it.
3Review, adjust, and iterate
The analyst reviews outputs, asks for adjustments in plain language ("change the churn rate assumption to 2% for the enterprise segment"), and the AI updates the model. Each change is committed to the project history.
4Publish the versioned model
Once the model is approved, the analyst publishes it. The final version, its full history, and all run outputs are stored in the project. Team members can review the model, re-run it with updated data, or branch it for scenario analysis.
Frequently asked questions
What does "AI-native" mean for financial planning software?
AI-native means AI is the primary interface for creating and modifying financial models — not a feature added on top of an existing spreadsheet or formula tool. In AI-native financial planning software, analysts describe what they want in plain language, and an AI agent produces the model logic, connects the data, and runs the model. The AI is not optional or supplementary; it is the core authoring layer.
How is Bridge Town different from financial planning tools that have added AI features?
Most financial planning tools with AI features use AI to suggest formulas, auto-complete entries, or generate natural-language summaries of existing data. The underlying model is still created and maintained by the user. Bridge Town inverts this: the AI agent creates and maintains the model based on the analyst's description. The analyst reviews, adjusts, and publishes — rather than building the model cell by cell.
Who is AI-native financial planning software for?
Bridge Town is designed for FP&A teams at growth-stage and mid-market companies that need to build, maintain, and iterate on planning models without large engineering or specialist resources. Analysts with strong finance domain knowledge but limited coding experience can use Bridge Town because the AI handles the Python. Teams that want faster model iteration, cleaner audit trails, and fewer spreadsheet-maintenance cycles benefit most.
Does AI-native mean the AI makes financial decisions?
No. The AI agent in Bridge Town authors model logic — it writes Python code based on what the analyst describes. Business assumptions, planning judgment, and final model approval remain with the finance team. The AI handles the implementation layer; analysts provide the domain knowledge and review every output before it is published.
What financial planning use cases does Bridge Town support?
Bridge Town supports headcount and compensation modeling, revenue forecasting, cost and expense planning, budget-to-actual variance analysis, and multi-scenario analysis. Analysts can describe any of these in natural language and receive a running model that can be refined, versioned, and shared with the team.
Build your first agent-native finance model
Bridge Town is free to start. Describe your planning workflow in plain English and get a running model in your first session.
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