AI for Consultants: Proposals, Invoices and Meeting Notes

Admin around every engagement

The best use of AI for consultants is the paperwork that surrounds each engagement: the proposal, the contract, the invoices, the meeting notes and the expenses.

Consulting is paid for thinking, but a good share of the week goes on documents about the thinking. A new engagement needs a proposal, then a signed agreement. Each meeting produces notes, a list of actions and a follow-up email. Each month or each milestone produces an invoice, and travel produces receipts that must be rebilled or claimed. None of it is difficult. All of it repeats, and most of it happens in the evening.

That pattern, repeated and rule-based, is exactly what automation handles well. The advice, the client relationship and the judgment about what to recommend stay with you. The table shows where the admin falls across a typical engagement, what can be drafted, and whether our version of that job is running today or offered and built to order.

Proposals signed online

A proposal can be sent as a private web page that the client reads and signs online, with a certificate recording who signed and when.

Most consultants still send a document, wait for it to be printed, signed, scanned and emailed back, and then file whichever version returned. Online contract signing removes the printing and the guessing about versions. Ours, running today, turns the proposal into a private page. Each party signs with a drawn signature, a typed name and a consent line, and a signature certificate PDF records who signed, when, and a fingerprint of the exact document, so any later change shows. No third-party signature service is involved.

This is one of the simplest places to start with AI for consultants, because a proposal that waits for a signature is work that has not started. For a consultant it also means the scope, the fee and the terms the client agreed are fixed in one record. When a question comes up months later about what was included, the answer is in the signed page and its certificate, not in an email thread.

The proposal itself is still yours. AI can draft the structure from your past proposals and the notes of the first call, but the scope, the price and the promise are decisions a consultant makes and signs.

Invoices from agreed fees

Invoice automation for consultants means each invoice is prepared from the fees you already agreed, with the PDF, ready for your approval.

Consulting fees usually follow a pattern: a monthly retainer, a fixed fee split into milestones, or days worked at an agreed rate. Once the client and the fee lines are recorded, the invoice is mostly copying. The mistakes that creep in are copying mistakes: the wrong client address, last month's reference, a missing purchase order number, the wrong tax wording for a client abroad.

Our invoicing AI employee is running today for a client. It works from a sheet that remembers clients and products, which for a consultant means clients and fee lines, and it applies the tax wording at creation. For a small consulting firm with several people billing time, the same sheet keeps every invoice in one format and one numbering, whoever prepares the row. Here is the route one invoice takes.

1. You add one row to the invoicing sheet: the client, the fee line and the period or milestone.
2. The sheet fills in what it already knows: the client's legal name, address, tax number and usual terms.
3. A check confirms the row is complete before anything is created; you mark it ready.
4. The robot renders the invoice PDF and files it in the client's folder.
5. It creates a draft invoice in the accounting system with the PDF attached, and a draft email beside it.
6. You review both, approve the invoice and press send yourself.

Meeting notes and follow-ups

AI meeting notes are worth having when they end in something you can send: draft minutes, a list of actions with owners and dates, and a draft follow-up email.

Plenty of tools now produce a transcript. A transcript is not minutes. A client wants to know what was decided, who will do what and by when. The useful job is turning a recording, or your own rough notes, into that short document and a follow-up email, written in your voice, for you to correct and send.

This is offered and built to order on the same engine as our running robots. It works only from meetings the client chooses to record, or from notes you provide. The minutes and the follow-up wait in your mailbox, and you decide what the client sees. Recording a client meeting needs the client's agreement, and the rules on that vary, so check with your adviser before you start.

A sensible test of AI for consultants on this job is simple: after your next client meeting, compare the time you spent writing up and following up with the time it takes to correct a draft. If the draft is close enough that you only edit it, the job is a good fit; if you rewrite it every time, it is not, and we will tell you so.

Expenses

Receipts from travel and client work can be read and turned into draft expense entries, sorted by client and month, with the image attached.

For a consultant, expenses carry two jobs: claiming them in your own books and, often, rebilling them to the client. Both need the receipt, the amount, the date and which engagement it belongs to. The usual system is a pocket of paper slips and a folder of photos sorted at the end of the quarter.

Our expense receipts AI employee is offered and built to order, on the same engine as the supplier bills robot that is running today. What it does once built:

• Reads photos and PDFs of receipts dropped into a folder or forwarded to a mailbox.
• Creates a draft expense entry with the date, the supplier, the amount and the tax, with the image attached.
• Sorts entries by person and month, and by client where you mark it.
• Passes anything it cannot read exactly to you instead of guessing.
• Leaves approval, and any rebilling decision, with you.

Getting started, and what it does not do

Start with the admin task you repeat most often and resent most, which for many consultants is invoicing or chasing signatures.

The order matters more than the tools. Invoicing comes first for most people because it is running today, it touches every client, and once clients and fee lines are recorded in one sheet, every later step can use them. Signing comes next, then minutes and expenses as they are built for you.

Our AI employees are rented monthly and run on our servers against your own accounts, today Google Workspace mailboxes, Google Drive, Google Sheets and Xero. Graduated automation: every step starts with your approval, and you decide when it goes automatic. Every action is written to a log, and one command stops any robot at once. If the rental stops, the workflow stops, and every invoice, signed proposal and file stays in your own accounts.

Be clear about the limits. AI for consultants, as we build it, does not write your advice, set your fees, talk to your clients or send anything in your name. It does not replace your accountant either: tax questions about your invoices or expenses go to your adviser. What it does is take the typing, copying and filing off your evenings, so the hours go back to client work or to rest.

The self-check on this page lists the usual admin tasks of an engagement. Tick the ones that cost you time, and it will suggest which to hand over first.

Questions