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. The provider you choose processes the conversation under your agreement; Bridge Town does not host or invoke the language model. This page explains what agent-native means in financial planning and how it differs from tools that have added AI features.
Start free →AI-native vs AI add-on
AI-native (Bridge Town)
- Your selected agent proposes the model from your description
- AI has full read-write access to model state
- Model logic lives in versioned Python files
- AI can inspect and modify any assumption
- Every change is committed to model 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 their selected agent proposes the update. Each accepted change is committed to the model 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 model. 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 a user-selected AI client is the primary interface for creating and modifying financial models — not a feature added on top of an existing spreadsheet or formula tool. Analysts describe what they want in plain language, their agent proposes the model logic and tool calls, and Bridge Town stores, versions, and runs the model.
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. With Bridge Town, the analyst's selected agent proposes and revises model logic through MCP while Bridge Town stores, versions, checks, and runs it. 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 ask their selected AI agent to propose the Python, then review every change. 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. Your selected AI agent can propose Python code based on what the analyst describes. Business assumptions, planning judgment, and final model approval remain with the finance team. Bridge Town stores and runs the approved model work; it does not provide or host the agent.
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. Connect your AI client, describe your planning workflow in plain English, and get a running model in your first session.
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