Hire an AI financial analyst

Everything it can hand back

Your task sets the actual outputs. The specialist picks the methods that cover them.

• A list of your assumptions marked as history, estimate or guess
• Recalculated figures set beside the model's figures, with any mismatch explained
• A base, better and worse case with the inputs that differ
• The inputs that move the answer most, and the point where your choice flips
• A tradeoff table for your options and a list of checks still needed

How it does the job well

• State assumptions before conclusions. Label each one History (from real past figures), Estimate (a reasoned number with a basis) or Guess (no basis given).
• Never present one forecast as certain. Always show a better and a worse case.
• When you recalculate, show the working so the user can check it. If you cannot recompute a figure from the inputs given, write CANNOT RECALCULATE: <why>.
• If your AI can run code or read spreadsheet cells, say so and use that. If not, do the arithmetic in the reply and say it was done by hand.
• Do not invent benchmarks, market figures or rates. If a comparison needs one, ask for it.
• State your assumptions before your conclusions. Every model rests on assumptions. If stakeholders don't see them, they can't challenge them — and unchallenged assumptions kill companies.
• Always build scenario analysis. Never present a single-point forecast. Provide base, upside, and downside cases with the drivers that differentiate them.

Mistakes it avoids

• Giving false precision, such as four decimals on a rough estimate.
• Blending history and forecast without a label.
• Building a new model when the user asked for a review. Point them to the Financial model builder instead.
• Copying the profile's sample tables as if they were the user's numbers.
• Mixing cash and accrual figures, or different periods, in one comparison.
• Rounding or formula errors that do not tie back to totals.

What a good result looks like

An example, not your task: You built a forecast or a pricing model and want a second pair of eyes before you rely on it.

• Decision and scope. The choice under review, the outputs that matter and the time span.
• Assumptions. Each input with its source, labelled history, estimate or guess.
• Recalculated figures. The model's figures beside recalculated ones, with any difference and its likely cause.
• Errors found. Mistakes with where they sit, their effect on the answer and a fix.
• Scenarios. A base, better and worse case with the inputs that differ.
• What moves the answer. Each input tested, its effect and whether your choice flips.

How the work is checked

• Totals tie out, and differences are explained line by line.
• Forecast assumptions are listed and easy to change.
• Anything not checked by a qualified person is marked as needing review.
• States which checks passed, failed or could not run, and names missing inputs.

These checks have not been run against a model yet. Your AI uses them to check its own work.

Capabilities

• Fix the question. It restates the decision and the outputs that matter. Anything missing is asked once, then marked MISSING.
• List the assumptions. Each input gets a source and a label of history, estimate or guess, so facts and projections stay apart.
• Recalculate. It works the key figures again from your inputs and shows its working beside the model's results.
• Run three cases. It sets a base, better and worse case. It uses your ranges if you gave them, or labelled test shifts if not.
• Test one input at a time. It moves each input up and down to find which ones change the answer most, and where the choice flips.
• Write the tradeoffs. It sets the options side by side in plain words, then lists the checks still needed.

How the role works

1. Checks your task, context and available tools.
2. Picks the methods needed and prepares a work plan.
3. Carries out supported tasks, with each method's limits and review gates.
4. Checks the real deliverables and corrects supported faults.
5. Hands back files, evidence and unresolved gaps.

Your specialist's working setup

Download the base specialist without a task form or account. README.md and SETUP.md explain how to use the folder. SOUL.md defines its scope. INTAKE.md asks missing questions inside your AI. PLAYBOOK.md, SKILLS.md, BEST_PRACTICES.md, CHECKS.md and HANDOFF.md guide the work and its checked deliverables.

Complete associated skills, supporting files and licences are included. Choose only the methods needed for the actual task. Keep context, working files and accepted feedback in your AI project.

Use this specialist through MCP or the API

Call prepare_specialist with role_id finance-financial-analyst only. No task is required to load it. Your AI asks what job you need done, what you want back and which relevant context it can use.

For task-led hiring, call find_specialist, explain the suggested specialists and let the user accept or change the team.

Complete ZIP: Download base specialist. API: GET /api/v1/specialists/finance-financial-analyst/pack. The host AI supplies its own model, tools and execution; a pack does not connect accounts or run a task.

Inputs and helpful context

The specialist starts from the task brief. Only active methods require their inputs.

For the primary method, when used

• The decision you are making, in one or two lines.
• Your model's assumptions, such as growth, margins, costs and timing, pasted as a list or table.
• The model's key results, such as profit, cash and payback, as they show in your spreadsheet.
• The source of each assumption, such as last year's sales or a supplier quote (optional)
• Any figure you are unsure of, and the range you think it could take (optional)

Helpful context (optional)

• The tab or cells where each assumption lives, so errors can be traced to a cell.
• Last year's real results, so history can be told apart from guesses.
• The range you think is fair for your two shakiest inputs.

Tools and access

• Claude, ChatGPT or Gemini with file upload: It can read a spreadsheet as a file and re-add the cells, which is faster than checking by eye.

Functions and deliverables

• Financial analyst agent: Get your financial model checked: recalculated figures, errors, base, best and worst cases, and which assumption could change your decision.
  • A list of your assumptions marked as history, estimate or guess
  • Recalculated figures set beside the model's figures, with any mismatch explained
  • A base, better and worse case with the inputs that differ
  • The inputs that move the answer most, and the point where your choice flips
  • A tradeoff table for your options and a list of checks still needed
  Source: Michael Sitarzewski and Agency Agents contributors.
• Financial model builder: Use past results and growth and cost inputs to forecast profit, cash, and business value.
  • A projected profit and loss with EBITDA
  • Free cash flow after capex, working capital and tax
  • A DCF valuation with terminal value
  • Sensitivity tables on discount rate and growth
  • Bear, base and bull scenarios in one summary table
  Source: Burhan Sebin.
• Startup financial model builder: Give your numbers and plans. Get a 3 to 5 year model with revenue, costs, cash flow and scenarios.
  • A revenue forecast built by customer group
  • Costs split by type
  • Cash flow and one runway figure
  • Three cases side by side
  • The assumptions that move the result most
  Source: sickn33.
• Linked financial model builder: Build a linked three statement financial model from your past accounts. Income, balance sheet and cash flow tie out, with a balance check.
  • A drivers sheet
  • Linked income, balance sheet and cash flow
  • Debt and working capital schedules
  • Balance checks
  • Notes on ratio changes from history
  Source: GAJETOso.
• me.md builder: Answer a few questions, or let your AI use what it remembers. Get one private file that tells any AI who you are.
  • One me.md file with up to ten dated sections
  • A list of facts taken from memory, for you to check
  • A short note of what it removed for privacy
  • The two next steps, to save it and set it up

Tasks you can use it for

• You built a forecast or a pricing model and want a second pair of eyes before you rely on it.
• You have two options, such as a new product line or a new hire, and want the numbers set side by side.
• A lender or investor will read your model and you want to find the weak spots first.
• You inherited a spreadsheet and do not know which inputs drive the answer.

Limits to check before starting

• You want a new model built from scratch. Use the Financial model builder.
• You want to know if a single purchase pays back. Use the Business investment analyst.
• You want new results worked into an existing model. Use the Financial model refresher.
• You need tax, audit or personal investment advice. Take those to a qualified accountant or adviser.

Best way to use this role

Give it one clear outcome, the actual files and a definition of done. Keep the work in one AI project so it can reuse checked context and earlier files.

• Download the pack from this page and add it to your AI as a skill. If you cannot, paste SKILL.md into a new chat, then paste references/source-agent.md.
• State the decision in a line or two. Paste the assumptions and the model's key results. You can attach the sheet as a file, but pasted tables are easier to check.
• Say which numbers are history and which are guesses. No code or web access is needed.
• Type "Review this model. Recalculate each key figure and show your working. Do not fill any gap with a guess."
• Read the mismatch list first. Fix those cells in your sheet, then ask for the review again.
• Check the flip point against your gut. If a small change in one input flips the answer, treat the plan as a coin toss until you know that input better.

Read it as data

Read the complete role setup as JSON. Connect your AI to the AI Blocks MCP library and read aiblocks://roles/finance-financial-analyst for its role instructions and pinned sources.

This is a prepared AI role. No task has run. Your AI carries out authorized work using its available tools and reports the actual deliverables and checks.