Start here

Pick one workflow. Each tutorial stands on its own.

How to start your financial forecasting model →

  1. 01

    Build your first model step by step

    Enter the assumptions yourself and learn what each part of the model means. A good choice for your first setup or a small update.

  2. 02

    Prepare your forecast with an AI agent

    Use your own AI agent to turn business notes into an input checklist. Review its output, then copy values into Tessly one field at a time.

  3. 03

    Fill your model with a browser-capable AI agent

    Delegate repetitive typing to a third-party agent that can control your browser. You choose the model, review the assumptions and confirm the final actions.

MCP connection: coming soon

MCP will provide another way for compatible AI agents to work with Tessly when building and updating a financial forecast. Until it becomes available, use one of the three methods above. Connection and setup instructions will be published at launch.

Try it with Northstar Notes

Northstar Notes is a fictional B2B subscription business. Every number below is a teaching assumption, not a benchmark or a recommendation. Use a separate practice model; replace these values before making business decisions.

Operating currency
USD
Current monthly subscription revenue
10,000
Current paid company customers
100
Monthly new paid company customers
10
Monthly paid-company retention
98%
Monthly non-headcount OpEx, excluding marketing
2,000
Monthly non-headcount marketing
500
Team / monthly base salary per person
2 people / 3,000
Current cash
100,000

Check the units: 10,000 ÷ 100 = USD 100 per customer per month. Non-headcount spend is (2,000 + 500) × 12 = USD 30,000 per year, excluding payroll. Base salaries total USD 6,000 per month before employer costs. Retention of 98% means 2% churn for the same monthly cohort; do not enter 2 in a retention field. These checks do not predict the final forecast, which also depends on timing, costs and other assumptions.

Your turn

Put your assumptions into a model

Sign in yourself, open a practice model and keep the tutorial beside you.