The AI Analyst

Your client can ask their own questions.

Every other reporting tool sends a client a report and waits for them to call you with questions. Pineapple Analyst lets them just ask — in plain English, about their real numbers, any time.

JM
Business owner, 9:41 PM, on his phone
"Why was March slower than February?"
AI
The AI Analyst, instantly
March revenue was $18,400 lower than February. Two new HubSpot deals closed in February didn't repeat in March, and two existing clients paid 8 days later than usual — both are now current. Nothing looks structurally off.

They type a question. They get a real answer.

There's no menu of pre-built reports to hunt through and no ticket to file. The client opens their dashboard — the one with your firm's name on it — and types a question the way they'd ask it out loud: "Which of my product lines is actually profitable?" or "What happens to cash if I hire two people in Q3?" The AI Analyst answers from their own connected data: QuickBooks, HubSpot, and whatever else is linked in. If the question touches something outside what's connected, it says so instead of guessing.

You decide who gets access.

The AI Analyst is switched on per client, not baked in for everyone. Turn it on for the clients who are ready for it, leave it off for the ones who aren't, and flip it either way at any time — without rebuilding the dashboard or touching the data connection underneath it.


What this replaces on your end

Each of these is a question a client would otherwise have emailed, texted, or saved for the next call. Here's what happens instead.

Example 1 — Profitability

"Which of my product lines is most profitable?"

SK
Client
"Which of my product lines is most profitable?"
AI
AI Analyst
Consulting services carries the highest margin at 61%, followed by implementation work at 38%. Your product resale line is currently at 9% after shipping costs — that's down from 14% last quarter.
What the accountant didn't have to do

Pull a margin-by-category report, reconcile it against the P&L, and format it into an email — or wait until the next scheduled call to deliver the answer at all.

Example 2 — Cash Forecasting

"What happens to my cash position if I hire two people in Q3?"

DR
Client
"What happens to my cash position if I hire two people in Q3?"
AI
AI Analyst
Based on your current burn rate and seasonal pattern, cash on hand would drop from $142K to roughly $96K by the end of Q3 before rebuilding in Q4. That assumes fully loaded cost of $9,500/mo per hire starting in July — tell me the actual start dates and I'll rerun it.
What the accountant didn't have to do

Build a one-off scenario model in a spreadsheet, or tell the client to wait for the next budgeting session to find out.

Example 3 — Pipeline & Revenue, Cross-Source

"Why is revenue down when my pipeline looks healthy?"

TL
Client
"Why is my revenue down when my pipeline looks healthy?"
AI
AI Analyst
Your HubSpot pipeline value is actually up 22% from last quarter, but average deal-to-close time has stretched from 34 to 51 days. The deals are there — they're just closing later, which is showing up as a revenue gap this month, not a demand gap.
What the accountant didn't have to do

Manually cross-reference the CRM export against the books — something no financial reporting tool does on its own, because none of them connect to the CRM in the first place.


It preps you for the monthly meeting, too

Ask the same AI Analyst the questions you'd normally spend the morning before a client call digging for. You walk in already knowing the trends, the anomalies, and the explanation — before your client even knows what to ask.

T

Trends, surfaced automatically

Ask what moved this month across revenue, margin, or pipeline and get the direction and the size of the move, not just a chart you have to interpret yourself.

!

Anomalies flagged before the client notices

An unusual expense, a customer that went quiet, a margin that slipped — the kind of thing that's easy to miss scanning a P&L, but exactly what a client will ask about if you don't bring it up first.

?

The explanation, already worked out

Not just what changed, but why — so when a client asks "why was March slower," the answer is already in hand instead of something you promise to look into and follow up on later.

The morning of a client call, an advisor might ask:
  • "What are the three biggest changes in this client's numbers since last month?"
  • "Anything unusual in expenses I should bring up?"
  • "Summarize where we stand against their goals heading into this call."

What the AI Analyst won't do

A page that claims no limits isn't describing a product. Here's where this one actually stops — on purpose.

01

It only knows what's connected.

The AI Analyst answers from the data sources you've linked in — QuickBooks, HubSpot, and whatever else is connected for that client. It doesn't guess at numbers it can't see, and it won't pull in outside market data or invent an answer to fill a gap. If a question needs a source that isn't connected, it says so.

02

Forecasts are historical unless you tell it otherwise.

Ask it to project forward and it builds from actual trend and seasonality in the client's own data. It won't know about a new contract, a planned hire, or a one-time expense unless someone tells it — the moment that's specified, it's factored into the forecast from then on.

03

Vague account names need a human once.

Plain-language questions work well until they hit a chart of accounts that's ambiguous by nature — "payroll" might mean three different accounts depending on how a client's books are set up. When that happens, the AI Analyst asks for clarification instead of picking one silently, and the firm can pre-map the ambiguous terms so it never has to ask twice.


Frequently asked

Is there a client reporting tool where clients can ask their own questions? +

Yes — this is what the AI Analyst inside Pineapple Analyst is built to do. Clients type a question in plain English directly in their branded dashboard and get an answer pulled from their own connected data, without waiting on their accountant to run a report.

Can I turn this on for some clients and not others? +

Yes. The AI Analyst is a per-client setting, not an all-or-nothing switch for your whole book. Enable it for clients who are ready for it and leave it off for anyone else, and change that at any time.

Can my client ask about data from more than one source at once? +

Yes. If a client has QuickBooks and HubSpot connected, the AI Analyst can answer questions that span both — like connecting a dip in revenue to a change in pipeline or deal velocity. Most reporting tools only see the accounting side, so this kind of question simply can't be asked there.

Can I use the AI Analyst myself to prep for client meetings? +

Yes — the same AI Analyst your client uses is available on your side of every account. Ask it what changed, what looks unusual, or how a client is tracking against their goals before a call, so you're not building that picture manually every month.

Will the AI ever give my client a wrong or made-up answer? +

The AI Analyst only answers from the client's own connected data — it doesn't guess or pull in outside information to fill a gap. If it doesn't have what it needs to answer confidently, it says so and asks for clarification instead of answering anyway.

Does this replace me as the client's accountant? +

No. It absorbs the routine "what happened and why" questions that would otherwise land in your inbox between meetings. Judgment calls, planning, and strategy conversations still come from you — the AI Analyst just clears the queue of questions that don't need to wait for you.

Can I see what my client has been asking? +

Yes. Every question and answer is visible on your side, so you can see what your clients are curious about and step in on anything that needs your judgment.

Does my client know they're talking to Pineapple Analyst? +

No. The AI Analyst lives inside your fully white-labeled dashboard. Your clients see your firm's brand, not ours.

Give your clients an analyst, not just a report.

Connect a client's data and see their AI Analyst live in under an hour.