The complete guide to AI-powered financial automations

You already tell your AI assistant what you want. "Summarize this document." "Draft a reply." Now imagine saying: "Tag every coffee shop transaction as 'daily habits'" — and having it actually happen across your bank accounts, automatically, from now on.

That is what Era's automation rules do. You describe what you want in plain English. Your AI agent creates the rule. You approve it. Era handles the rest.

The old way versus the new way

Most people manage their finances reactively. You open your banking app, scroll through a wall of transactions, and mentally sort them: that was groceries, that was a subscription, that was a reimbursement. Some people build spreadsheets. Some tag things in budgeting apps. All of it is manual work you repeat every week.

Era flips this. Instead of you doing the sorting, you tell your AI what to sort, and it builds a rule that runs on every transaction going forward. The rule remembers the exact words you used to create it, so you always have an audit trail of your intent.

Here is what that looks like in practice:

• "Flag any subscription over $30" — your AI creates a rule that watches for recurring charges above that threshold and tags them for your review.
• "Tag all coffee shops as 'daily habits'" — every transaction at a coffee merchant gets categorized automatically.
• "Clean up merchant names so I can actually read them" — messy bank descriptions like "SQ *TIMMYS LOC" become "Tim Hortons."
• "Detect any recurring charge I haven't seen before" — new subscriptions get flagged before they become invisible line items.

You are not learning a rule builder. You are not configuring filters and dropdowns. You are having a conversation.

How rules get created

The process is deliberately simple, because the point is that you should not need to think about the mechanics.

Step one: describe what you want. Open any AI assistant connected to Era Context — Claude, ChatGPT, OpenClaw, or any other MCP-compatible client. Tell it what you want to automate. Use natural language. Be as specific or as vague as you like.

"I want to track how much I spend eating out each month" works. So does "categorize everything from DoorDash, Uber Eats, and Skip the Dishes as 'delivery food.'"

Step two: your AI creates the rule. Based on your description, your AI agent constructs a rule within Era Context. The rule captures your intent — the categories to watch, the conditions to match, the actions to take.

Step three: you approve it. Nothing activates without your explicit approval. Your AI presents the rule for review, and you confirm before it goes live. This is non-negotiable. Era never acts on your finances without your say-so.

Step four: the rule runs. From that point forward, every matching transaction gets processed automatically. New transactions are evaluated as they arrive. You can check the activity log at any time to see exactly what each rule has done.

The pre-built rule library

Not everyone wants to start from scratch. Era includes a library of pre-built rules you can browse and activate with a single tap. These cover common use cases that most people need:

• Merchant name cleanup — transform cryptic bank descriptions into readable names.
• Category detection — automatically sort transactions into spending categories like dining, groceries, transportation, and entertainment.
• Income identification — recognize payroll deposits and other income sources so your cash flow view separates money in from money out.
• Transfer detection — distinguish transfers between your own accounts from actual spending, so moving money from chequing to savings does not inflate your expense totals.
• Recurring charge identification — detect subscriptions and recurring bills based on transaction patterns.

Each pre-built rule is isolated to your account. You can customize it, deactivate it, or replace it with your own version at any time.

Custom rules through conversation

The pre-built library covers the basics. Custom rules are where things get personal.

Because you create rules through conversation with your AI, you can express nuance that no dropdown menu could capture. Some examples of rules people create:

Spending awareness rules:

• "Flag any single transaction over $200 that is not rent or a bill payment."
• "Tag transactions at gas stations as 'commute costs' on weekdays and 'travel' on weekends."
• "Detect when my dining spending in a single week exceeds $150."

Organization rules:

• "Create a tag called 'side hustle expenses' and apply it to any transaction at Adobe, Canva, or my web hosting provider."
• "Separate my partner's gym membership from mine — theirs is GoodLife, mine is Equinox."
• "Tag anything from Amazon under $20 as 'impulse buys.'"

Detection rules:

• "Alert me to any new recurring charge I have not explicitly approved."
• "Flag duplicate charges — same merchant, same amount, same day."
• "Detect when a subscription price increases from what it was last month."

You do not need to know the "right" way to phrase these. Your AI interprets your intent and builds the appropriate rule. If something is ambiguous, it asks you to clarify.

The approval step: nothing happens without your say-so

This is worth emphasizing because it matters for trust. Every rule — whether created by your AI from a conversation or activated from the library — requires your explicit approval before it takes effect.

When your AI proposes a rule, you see exactly what it will do. You can modify it, reject it, or approve it. Once approved, the rule runs automatically. But the initial activation is always a conscious decision you make.

You can also deactivate any rule at any time. There is no lock-in, no "are you sure?" friction. Rules are tools that work for you, and you stay in control of which ones are active.

What rules can do today

Rules in Era are focused on transaction organization and awareness. Here is a concrete list of what they handle:

• Auto-categorize transactions by merchant, amount, pattern, or description.
• Tag transactions with custom labels you define.
• Detect recurring charges and surface new subscriptions.
• Flag anomalies — unusual amounts, unexpected merchants, potential duplicates.
• Clean up merchant names so your transaction history is readable.
• Identify income and separate it from expenses in your cash flow view.
• Detect transfers between your own accounts to avoid double-counting spending.

Rules operate across all your connected accounts. A rule that tags coffee shops will catch your credit card double-double and your debit card cold brew alike.

Cross-agent rule creation

One of the more interesting aspects of Era's architecture is that rules are not tied to the AI agent that created them. If you create a rule through Claude, it applies to your Era Context account. Later, if you are chatting with ChatGPT, that agent can see the rule, modify it, or create new ones.

This works because Era Context is the system of record. Your AI agents are interfaces to it, not silos. Tell Claude to "tag all Loblaws transactions as 'weekly groceries.'" Next week, ask ChatGPT to "show me all my active rules." It will see the Loblaws rule you created through Claude.

Your rules, your memory, your financial context — all of it persists across agents and across conversations. Every conversation picks up where the last one left off, regardless of which AI you are talking to.

The activity log: full transparency

Every action a rule takes is recorded in your activity log. You can see:

• Which rule fired and when.
• What transaction it acted on.
• What action it took (categorized, tagged, flagged).

This is not buried in a settings page. The activity log is a first-class feature of Era Context, showing everything that happens with your money — syncs, rule executions, balance changes, and more. If you ever wonder "why is this transaction tagged this way?" the answer is one tap away.

Rules that work across your whole financial picture

A single rule applies across every connected account. This matters more than it sounds.

Most budgeting tools are account-centric. You set up categories for your credit card, then do it again for your debit card, then again for your second credit card. Rules in Era are account-agnostic. "Tag all dining transactions" catches the restaurant on your Visa, the food truck on your debit, and the business dinner on your Amex. One rule, total coverage.

This also means rules catch things that single-account views miss. A rule that detects recurring charges will surface subscriptions regardless of which card they bill to. If Netflix charges your Visa and Spotify charges your chequing account, both show up. You get a complete picture without manually cross-referencing accounts.

When rules get smarter over time

Rules in Era are not static filters. The automation engine has been continuously improved — better pattern matching, more accurate category detection, smarter income identification, and better handling of edge cases like recurring charges with unusual merchant names.

Recent improvements include better detection of transfers between your own accounts (so moving money to savings does not look like spending), more accurate identification of bounced payments, and cross-account pattern detection that spots related transactions across multiple accounts.

You do not need to update your rules when these improvements ship. The engine gets smarter; your existing rules benefit automatically.

Building a system, not just setting rules

The real power of automations is not any single rule. It is the system you build over time.

Start simple. Activate a few rules from the library — merchant name cleanup and category detection are good first picks. Let them run for a week. Check your transactions and see how they look.

Then start adding your own. Notice that you keep manually categorizing Lyft rides? Create a rule. Annoyed that your bank calls your hydro bill "UTILPAY ACH DEBIT"? Clean it up. Want to track how much you spend on your dog? Tag pet stores, vet visits, and PetSmart orders.

Over weeks, your transaction history transforms from a wall of inscrutable text into a clear, organized picture of where your money goes. And you did not build a spreadsheet or learn a new app. You just had a few conversations with your AI.

Getting started

To use automation rules, you need an Era account with the Organize plan ($14.99/month) or higher. The free Basic plan includes five template rules from the library. Organize unlocks the full rules engine and unlimited custom rules.

Connect your bank accounts through any MCP-compatible AI agent, or directly at era.app. The MCP connection URL is https://context.era.app — add it to Claude, ChatGPT, OpenClaw, or whichever client you use.

Once connected, just tell your AI what you want to automate. It handles the rest. You approve. The rules run. Your finances organize themselves.

You have been doing manually what your AI could handle. Now you know.