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Custom AI Agents AI Knowledge Assistant Custom Software & Apps Private AI Infrastructure All services →AI financial agents from Seqora read every bill, invoice and receipt that reaches your inbox, match each one to your bank, card and accounting feeds, and keep a live dashboard of where the money goes. They're built for owners and practice managers who pay dozens of bills a month and don't have time to check every charge. When something is out of order, such as a duplicate charge, a quiet price increase or a bill that never got paid, you get an alert instead of a surprise at month-end. The agent only reads: it never pays or moves money, and every decision stays with you.
An AI financial agent is software that reads your bills, receipts and transactions, checks them against each other and flags what doesn't match. It pulls bills from email, matches them to payments in your bank, card and accounting apps, keeps a live expense dashboard, and alerts you to duplicates, price increases, late bills and unusual charges. It watches and reports. It never pays, moves money or gives financial advice.
Bills arrive in more than one inbox, charges land on several cards, and the accounting software only knows what someone typed in. Nowhere shows everything that's due, paid or changed in one place.
So the checking happens at month-end, if it happens at all: someone exports the data to a spreadsheet and cross-checks it by hand. By then a duplicate charge is weeks old, a vendor's price increase has gone unnoticed for two billing cycles, and a missed bill has picked up a late fee.
Matching hundreds of bills to hundreds of transactions is slow, repetitive work. People do it badly when they're busy. Software does it well when the rules are written down, which is why most of this agent is plain workflow automation, with AI only where the input is messy.
It watches. It doesn't spend. The agent is built only to read, with read-only access wherever the provider offers it. It can tell you a bill looks wrong, but paying, disputing or cancelling stays with you.
Every bill, charge and recurring cost across the accounts you connect. These six parts make up the typical scope, and the first call decides what your build includes.
Reads bills, invoices, receipts and renewal notices from the inboxes you connect, PDFs and photos included. It pulls out vendor, amount, due date, invoice number and category, the same extraction behind our AI document processing.
Read-only connections, wherever the provider offers them, to your bank and card accounts through an aggregator such as Plaid, accounting software like QuickBooks Online or Xero, and payment apps like Stripe or Bill.com. Every charge and payment sits in one ledger the agent can check.
Each bill is matched to its payment, and amounts are compared within a tolerance you set. Anything unmatched, short or over gets a plain-language reason.
Spend by category, vendor and location, bills due in the next 7 and 30 days, and budget against actual, updated as new data arrives.
Duplicate charges, price increases, missed or late bills, unusual charges, new vendors, subscription creep and budget overruns, sent by email, Slack or text with the evidence attached.
A short weekly summary of what's due, what changed and what's flagged. Every match, flag and dismissal is logged with the rule behind it.
The dashboard updates as bills and transactions come in. Flagged items stay at the top until someone clears them.
Illustrative example · sample data
You approve every rule before it runs. For the first month after go-live, the agent runs alongside your current process, so you can compare the two.
We list every inbox, bank account, card, app and recurring vendor, and agree on budgets and what should count as a problem. You grant read-only access wherever the provider offers it, and we flag any app that only grants full access, where read-only is enforced by how the agent is built.
The agent connects to each source and pulls past bills and transactions, ideally the last 6 to 12 months, depending on what each source allows. That history sets each vendor's normal amount, timing and due date, so later changes stand out.
We write the matching rules, tolerance bands and alert thresholds, then run a full reconciliation on the history. You review the first report and correct anything that's wrong before alerts go live.
The dashboard, alerts and weekly digest switch on. For the first month they run alongside your bookkeeper's process, so you can check the agent against what you already trust.
We adjust thresholds that cause false alarms, add new vendors and accounts as they appear, and review alert quality with you each month. Every rule change goes through the same approval as the original rules and is logged.
These two projects aren't expense agents. They contain the parts this agent depends on: reading financial documents, checking amounts against tolerances, and letting rules, not AI, make the call.
Document validation for Medicaid applications, not an expense agent. AI reads bank statements, pay stubs and 1099s, matches each income and asset on the application to its proof, checks the amount against a tolerance band and explains anything it can't verify.
Zero extraction errors across the first 30 production cases, and 576 cases completed in a single production day.
Borrower onboarding for commercial loan closings. AI reads entity documents and org charts, but a rule engine makes the ownership decision with a plain-English reason for every row, and an analyst approves before anything goes out for signature.
A second engagement after our first project for them. Six bank-specific document sets went to production after a 216-page audit with all 126 text checks passing.
AI only reads messy bills and emails. Whether something is a duplicate, late or over budget is decided by written rules you can read and change, the same split we built for AST Defeasance. More on where AI belongs and where it doesn't.
Each alert names the rule that fired and links the bill and transaction it compared. In our validation work for 100 Boulevard, every record the system can't verify carries a plain-language reason, and this agent is designed the same way.
Read-only access wherever the provider offers it, and an agent built to read, never write, where it doesn't. Data is encrypted in transit and at rest and never used to train public models. Payments, disputes and cancellations stay with you.
| Compare | Month-end spreadsheet check | Seqora AI Financial Agent |
|---|---|---|
| When problems surface | Weeks later, at month-end | When the bill or charge arrives |
| Bills outside the books | Missed unless someone remembers them | Found in the inbox and matched to a payment, or flagged |
| Price increases | Caught only if someone compares invoices by hand | Every bill compared with that vendor's history |
| Subscriptions | Renew quietly | Listed with renewal date and cost trend |
| What counts as a problem | Whatever the reviewer happens to notice | Written rules you approve, with a reason on every flag |
| Paying and moving money | You | Still you: the agent only reads |
Lab and supply invoices compared with past prices, equipment leases and financing tracked to their due dates, and spend split by office for multi-location groups.
DentalRecords, expert and filing invoices tagged to their matter, and lead-vendor and ad bills tracked against your marketing budget.
PI lawA few bank accounts, several cards and dozens of subscriptions, with one owner keeping track. The agent gives you one view and a short weekly read.
Every agent is scoped and quoted after a free call. These are the things that move the number:
What it doesn't do: give tax, accounting or investment advice, or replace your bookkeeper or accountant. It keeps the record current and points at what looks wrong. Decisions, payments and filings stay with you and the professionals you already work with.
The agent reads from the tools you already use, with read-only access wherever the provider offers it, and only posts alerts to the chat apps you choose. Common ones:
No. It connects with read-only access wherever the provider offers it, and where an app only grants full access, such as QuickBooks Online, the agent is built to read and never write. It never pays, transfers or cancels anything. When it finds a problem, it alerts you with the bill and transaction behind it. If you want a list of bills to pay or a draft dispute email, it hands you the draft and the decision stays with you.
Only the people you approve, and the data stays yours. Connections are read-only wherever the provider allows it, data is encrypted in transit and at rest, and it's never used to train public models. If you prefer, the agent can run on your own cloud account so nothing sits on ours. Every match, flag and dismissal is logged.
No. It does the daily watching and matching, and gives your bookkeeper a cleaner record to work from. It doesn't post entries to your books, file anything, or give tax, accounting or investment advice. Dashboard categories are there for visibility, and how things are booked is still your accountant's call. You can copy them on the weekly digest.
You see why, and the rule gets fixed. Every flag shows the rule that fired and the documents it compared, so a false alarm is easy to dismiss and repeated ones become a rule change. When a bill is hard to read, the agent is built to leave the field blank and ask instead of guessing. It's built with no step that pays or moves money, so a mistake means a wrong flag, not a wrong payment.
Plan on about four weeks from access to live alerts for a typical scope, and we confirm the timeline on the first call. We need access to your inboxes, bank and card feeds and accounting software (read-only wherever the provider offers it), a list of recurring vendors and budgets, about an hour to agree on alert rules, and someone to review the first reconciliation report. After that, the weekly digest takes a few minutes to read.
Most US banks, cards and mainstream business apps. Bank and card feeds connect through a read-only aggregator such as Plaid, accounting tools like QuickBooks Online and Xero through their own APIs, and email through Gmail or Outlook. If an app has no API, we use its exports or forwarded statements. We confirm every connection on the first call, before you commit to anything.
Further reading: AI agent, workflow, or dashboard: how to decide where AI actually belongs
Book a free call. Bring a list of your accounts and apps, and we'll map what the agent would read, what it would flag and what it would take to set up.