For anyone running client projects across a few different tools, here is the budget workflow I use at my studio. I went a long time without a consistent budget tracking process, and this is what finally made it repeatable for me. You can plug this into whatever AI stack you already use, whether that is Claude, Cursor, Codex, Zapier, Make, or something else!
Step 1: Map your sources
Before you build anything, take a pass through where each input actually lives today. Here are some categories to think of that might affect the project budget
Delivery signals
Start with delivery. Some questions to ask: where do I see what moved this week, where do I track blocked work, where do I capture scope changes, and where do I track timeline shifts?
Since you’re on this forum, it’s probably Asana projects and tasks.
Financial signals
Then move to financials. Question to ask: where do I budget today, how am I keeping track of time spent on projects, where are committed costs? This might be QuickBooks, a Google Sheet, or another budgeting tool.
Decision context
Then map decision context. Some questions to ask: where do client asks usually come in, where do approvals happen, where would I look to confirm why budget changed? This usually lives in Slack threads, email, call notes, or meeting docs.
At this stage, the goal is just to list where these items live. Once that map is clear, you can decide how to connect each source into your tools.
Step 2: Define how the AI evaluates budget
This is where agent skills come in. If you have not used them yet, think of skills as reusable instruction packs your agent can discover and run. The great thing is you can write skills in Markdown so any playbooks or instructions that you would give to your team or that you keep in your studio can be transferred into an agent skill. It’s a pretty common standard. Regardless of the platform you’re building for, or that’s hosting your agent, it will likely have the ability to add skills. for a budget monitoring skill yours might look something like this
If you are building a budget monitoring skill, you might include:
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The required inputs
Baseline, actuals, commitments, forecast, plus delivery context from your delivery playbook. -
How to judge status
Your thresholds for on-track, watch, and at-risk. -
How responses should be formatted
Keep it short and decision-ready, with one biggest driver, one next step, owner, and due date. -
What to do when data is missing
Sometimes everything won’t be in place and so in cases where you don’t let it know what to do when it’s missing
The fun does not stop at the first draft. You will miss edge cases, and that is normal. What helps is a simple repeat loop: test the skill on real examples, check whether the answers are correct and useful, update the instructions, and run the same examples again.
If you want to automate more of that process, there are frameworks for self-improving skills. Whether you run this process manually or automate parts of it, quality improves quickly when you consistently test real examples and refine the skill.
Step 3: Connect your tools
This is where Step 1 pays off. Once you know where your inputs live, you can connect those tools to your agent.
Most agent platforms support MCP connections, and most tools also expose APIs. Depending on your setup, you can connect tools directly through MCP, use an integration layer such as Zapier or Composio, or combine both. If you are using Asana, the Asana MCP is a great place to start.
Step 4: Pick your trigger
Put the budget check in the tool you already open every day.
Some ideas for triggers:
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Slack mention in the project thread
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A fixed weekly run on your calendar
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An API trigger from an existing project workflow

That is the workflow at a high level. I built this pattern into PailFlow and use it in my studio, and the same design can be implemented in any AI stack.
If you are using AI to monitor project budgets, I would love to hear what is working for you, especially if you are doing this in Asana. What signals are you tracking, and what has made your process reliable?