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.

✦ AI Analyst: switched on
Greenfield Plumbing QuickBooks + HubSpot
AI Analyst: On
Revenue, Mar
$61,200
▼ vs. Feb
Pipeline
$212K
▲ +22% QoQ
Cash on hand
$142K
● Steady
Why was March slower than February?
AI
March revenue was $18,400 lower than February. Two deals that closed in February didn't repeat, and two clients paid 8 days later than usual — both are current now. Nothing 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.

The revenue math

This is a revenue line, not a software cost. See what adoption across your book actually nets you.

Giving every client a live dashboard and their own AI analyst changes what you can charge, how many clients you can carry, and how long they stay. Here's exactly where the growth comes from - and a calculator so you can check it against your own book.

01
Charge more for the clients you already have

The fastest lever, because it needs no new logos and no new sales calls. A rate conversation is hard when you're delivering the same report you delivered last month. It's a lot easier when the client has a live dashboard built around what their business actually cares about - because you described it in a sentence, not because they got the same template as everyone else.

02
Add a tier instead of discounting

Most firms sell one thing. Now you can sell three - your core service alone, your service plus the dashboard and AI analyst, or all of it plus your advisory. That middle tier is where price-sensitive clients land instead of churning. And at the top, load their forecast in alongside actuals - budget-vs-actual with an AI that explains the variance is a real advisory deliverable, and it's a prompt, not a project.

03
Take on more clients, same hours

The reporting builds itself and refreshes daily. No pulling exports, no rebuilding the same deck twelve times, no two hours of prep before every client call. Even the custom work isn't work - you don't build a dashboard, you ask for one. That reclaimed capacity is the difference between growing your client count and growing your payroll.

04
Keep clients longer

A monthly report is replaceable. The advisor who caught the $3,200/mo subscription stack nobody had reviewed in two years is not. The dashboard puts those catches in front of you every month, and the client sees you finding them. Retention isn't in the calculator below - it quietly multiplies every line in it.

Don't take it on faith. Put your own book in and check it.

Every input below is a slider you can move. Change the adoption split, the uplift per tier, or how many hours a new client actually costs you to serve - nothing is locked inside a fixed multiplier.

Your book today

Start here - your current client count and average fee.

How your book adopts
These clients pay 2.25x their current rate for the dashboard plus your advisory work.
These clients keep your current service and just add the dashboard tier at 1.25x.
Remaining clients stay on your current service at their current rate - nobody churns in this model.
Advisory + dashboard adds up to more than 100% of your book - reduce one of the sliders above.
Fixed assumptions: advisory clients pay 2.25x their current rate, dashboard-only clients pay 1.25x. Automating reporting and call prep saves 2.5 hours per client per month across your whole book; those hours convert into new advisory clients at 9 hours to onboard and serve each one. Pineapple Analyst's cost applies only to clients actually on the platform - advisory, dashboard, and new clients - priced at its live volume rate, never charged against clients who stay on your unchanged service.
Your revenue today100 clients x $1,000
$100,000/mo
Clients who move to advisory40 clients at 2.25x
+$67,500/mo
Clients who add the dashboard tier50 clients at 1.25x
+$62,500/mo
Clients unchanged20 clients at current rate
$20,000/mo
New clients from freed-up hours27.8 clients at advisory pricing
+$62,500/mo
What Pineapple Analyst costs you108 paying clients at $43/mo
-$4,634/mo
Your revenue, net of tool cost
$207,866/mo
2.08x
Where you are now

This is an illustrative model built from the assumptions listed above, not a guarantee of results. Your numbers will depend on your client mix, how you package the offer, and how efficiently freed-up hours convert into new client capacity. Retention is deliberately left out of the math - it lengthens the lifetime value of every line above.

Customizable by default

Every other tool hands you a template and calls it a product. This one you rebuild with a sentence.

White-label comes standard here, not as an upcharge. So does customization. If the default view isn't what a client needs, you describe what you want and it builds it. No BI tool, no support ticket, no implementation call.

Add a page comparing this client's monthly actuals against their uploaded forecast, and flag any line more than 10% off
Built and live, in your client's dashboard
Budget vs. Actual - Riverstone New page Your brand
Revenue vs Plan
+4.2%
▲ On track
COGS vs Plan
+13.8%
▼ Flagged
Opex vs Plan
-2.1%
▲ Under
Net vs Plan
-11.4%
▼ Flagged
Actual vs Forecast - Last 6 Months Actual Forecast
Nov
Dec
Jan
Feb
Mar
Apr

Describe it, don't build it

A page built around one client's unit economics. A view that ignores three accounts they never look at. Their forecast next to actuals with variance called out. Plain English in, live dashboard out. Build a view once and reuse it across every client it fits.

White-label is standard, never an upcharge

Your logo, your colors, your firm's name front and center. Competitors sell white-label as a paid add-on or a higher tier. Here it's how the product ships. Your clients never see our name anywhere.

An analyst that works both directions

Your client asks why margin slipped last quarter. You ask it anything you want ten minutes before you walk into their meeting. Every competitor generates commentary at the client and stops - output you still have to package and deliver yourself.

Advisors here don't build anything. They prompt.

What firms are saying

Trusted by accounting firms and advisors nationwide

We've been partnering with Pineapple for a couple of years now and it's been a game-changer for our business and our clients. Highly recommend!

B

Brad

Sourced Bookkeeping & Consulting

Working with Pineapple has been an outstanding experience. The dashboards they've created for us have significantly enhanced our reporting capabilities and delivered tremendous value to our clients. Their team feels like a true partner!

E

Elizabeth

Nexagy CFO

If you have any reporting needs that you're struggling to create internally, don't walk, run to have a conversation with Pineapple. We couldn't be happier. The project was on time and on budget with clear communication through the process.

B

Broc

Pair PEO

Why this matters right now

Your clients already want this from you.

A 2026 nationwide survey of 180 accounting firm clients found a gap between what buyers want and what firms actually deliver - and it's larger than most firms think.

91%
of clients want their accounting firm to act as a proactive business advisor - not just handle compliance
vs.
4%
of firms are actually seen that way by their own clients

Source: ClearlyRated 2026 Accounting Buyer Insights Report

What is Pineapple Analyst?

Pineapple Analyst is the unified intelligence layer for accounting firms and the advisors who serve their clients. Your clients' financials, pipeline, and operations live in different tools and tell disconnected stories - and you're looking at them one client login at a time. We bring it all together: your whole book on one screen, a branded dashboard per client, and one AI analyst that explains any of it.

We handle the technical side: connecting data sources, building dashboards, deploying an AI analyst your clients can actually talk to. And when a client needs something different, you describe it in plain English instead of building it - then roll it out to every client it fits with one click.

Your brand is on it. You get the credit. Live in under 10 minutes, not weeks.

Who it's for

Built for firms with a book of clients, not a single company.

Pineapple Analyst is designed for accounting and bookkeeping firms carrying 50 to 200 clients - and for the advisors who want to be AI-forward with those clients without needing AI expertise.

Why accounting firms and advisors choose Pineapple Analyst

White-glove onboarding - one investment, your whole book

You can start free and set it up yourself. Most firms don't. We build the platform to your firm's specs - your dashboards, your KPIs, your brand, the connectors you need - train your team, and roll your clients out in chunks. The onboarding investment covers every client you have today and every client you add later. It isn't charged per client, and it isn't charged again when your book grows.

Your whole book on one screen

Every connected client rolls up into a single consolidated view - sortable, filterable, always current. Sort by cash runway or AR aging and see who needs a call this week, or just ask the AI across the whole book. No more opening ten client files to find the same number ten times.

Fully customizable - you prompt, you don't build

Every competitor ships you a fixed template and calls it a product. Here the template is a starting point. Describe the page, the metric set, or the forecast view you want and it gets built - no BI tool, no ticket, no waiting on us. Build a view once and push it to every client it fits with one click.

Clients get an analyst, not just a dashboard

Your clients ask questions and get instant, data-backed answers in plain English. And it runs both directions - you can ask it anything ten minutes before their meeting. Nobody else lets clients chat with the AI at all.

Increase value and revenue per client

Move from reporting what happened to advising on what to do next. Raise rates on existing clients, open a new tier, and carry more clients on the same hours. Bundle it in and charge a margin on top - this is a revenue generator, not a cost you eat.

Your clients' data is disconnected. You can fix that.

Every tool your client uses tells a different story. QuickBooks shows what happened. HubSpot shows pipeline. Their forecast sits in a spreadsheet. You're the one who connects the dots - and now you have a platform that does it automatically.

Speed is built into the data model

Every competing product has an implementation phase - chart of accounts mapping, training sessions, onboarding calls. We load a client in under 10 minutes and the dashboards update themselves. That speed isn't a feature - it's how the business model works.

Increase client retention

Clients who log into a dashboard you built don't leave. Give them something they'd miss - and they'll stick around longer.

Pineapple Analyst vs. the alternatives

Every other option was built for one company. You have a book.

QuickBooks' AI is scoped to the client file you're logged into. BI tools make you build every dashboard by hand. FP&A platforms are priced and architected around a single company's planning cycle. AI chat with a QuickBooks connector lives inside your own session. Here's how each one handles the work a firm actually does.

What a firm needs
Built for a whole firm
Pineapple Analyst
Built for accounting firms and advisors
QuickBooks AI
Built into the client file
Tableau / Power BI / Looker Studio
General-purpose BI tools
FP&A platforms
Planning and forecasting suites
AI chat + QuickBooks
A connector inside your own session
See your whole book on one screen Every connected client in one consolidated view - sort, filter, and rank in seconds One client file at a time - scoped to whoever you're logged in as Possible, but you build and maintain the model for every client yourself Priced and architected around one company, not a portfolio One connected file per session, nothing that rolls up
Get a new client live Under 10 minutes - or we roll your whole book out for you Already there, but there's nothing to hand the client Days to weeks - account mapping, template config, training Weeks - model build, mapping, usually a paid implementation consultant Fast for a single chat, but nothing that can be handed to a client
Build a view once and reuse it across the book Describe it in plain English, then push it to every client it fits with one click No - have to rebuild for each client Every chart built by hand, then rebuilt again for the next client Template changes route through their team or a change request Output is a chat reply, not a view you can publish or reuse
Give each client their own portal A live portal per client, with Admin and Viewer roles you control Yes, native. No native way to spin up a client view - each one is a manual rebuild Built for one company's finance team, not a portfolio of clients Not possible - output only lives inside your session
Let your client ask their own questions Your client gets their own AI analyst (if you turn it on for them) - and so do. Yes, always on. Can't turn it on or off for the client. No conversational layer - clients only see the report they're sent Clients receive output, they don't explore it You can ask. Your client can't
Go beyond what's in the books HubSpot pipeline, Google Sheets forecasts, and other connected sources alongside the books QuickBooks data only - no pipeline, no operational context Yes, if you build every join and relationship by hand Finance-first - other sources are out of scope or a custom project One connected source at a time
Keep your firm's brand in front of the client Fully white-labeled, included at every tier Intuit's brand, not your firm's Limited - clients see the tool's own login and chrome Rarely white-labeled, and an enterprise add-on when it is Clients would see the AI vendor's brand, not yours
Do it without hiring a data person Connect the data, or hand us the list and we set it up for you Yes - it's just limited to one client file Not really - real modeling and query skills are required Requires modeling skill and ongoing upkeep of the plan structure Easy to chat with, but making it client-facing takes real engineering

Scroll the table sideways to compare →

None of these are bad tools. QuickBooks' AI is strong for a single business owner looking at their own books. BI platforms are excellent for deep, custom analysis in expert hands. FP&A platforms are serious planning tools for one finance team. AI chat with a live connector is a genuinely useful personal workflow. They were all built for someone running one company - and you're running a book of them.

Frequently asked questions

Everything you need to know before getting started.

Pineapple Analyst is the unified intelligence layer for accounting firms and the advisors who serve their clients. Your clients' financials live in QuickBooks, their pipeline in HubSpot, their forecast in a spreadsheet - and you're looking at all of it one client login at a time. We connect it into one place, give you your whole book on a single screen, build a branded dashboard for every client automatically, and deploy an AI analyst your clients can actually talk to. You get the credit, in minutes rather than weeks.

Either way works, and most firms choose to have us do it. The free trial is genuinely free - connect a client, see it live, no card required. But if you're carrying a real book, the value isn't one dashboard, it's a platform built the way your firm actually reports. With white-glove onboarding we build it to your specs, create the connectors and views you need, train your team, and roll your clients out in chunks. The onboarding investment is one time and it covers your entire book - every client you have today and every client you add later. It isn't charged per client, and it isn't charged again when your book grows. Book 15 minutes and we'll scope it against your actual client list.

Four levers. You can raise rates on existing clients, because a live custom dashboard is a different deliverable than a monthly report. You can open a middle tier for price-sensitive clients instead of discounting. You can carry more clients on the same hours, since the reporting builds itself. And clients who log in every week stay longer. Run the numbers against your own book with the calculator higher up this page - every assumption is visible and editable.

Fully customizable, and it's the part no competitor matches. The templates are a starting point, not a ceiling. Want a page built around a client's unit economics, a view that ignores three accounts they never look at, or their forecast sitting alongside actuals with variance flagged? Describe it in plain English and it gets built - then push it to every client it fits with one click. You aren't learning a BI tool or waiting on us, and you aren't rebuilding the same view client by client.

Under 10 minutes per client. Connect their data source and the dashboard plus AI analyst are built and live - no configuration, no chart-of-accounts mapping, no weeks-long implementation. Rolling out your whole book is an afternoon, not a quarter - and with white-glove onboarding, we do that rollout with you in chunks rather than handing you a list. Customizing a view afterward is a sentence, not a project.

Fair question, and the right one to ask. The AI analyst answers from your client's connected data only - it isn't guessing from general knowledge or inventing figures from outside their books. It's built to handle the routine "what happened and why" questions, not to replace your judgment on anything that matters. You control what's published, you see the same dashboard your client sees, and you're still the one in the room for the real decisions.

QuickBooks Online and HubSpot are live out of the box, and Google Sheets is a first-class connector - which matters more than it sounds. Anything a client can export, you can connect, so forecasts, budgets, and one-off operational data get into the same dashboard as the books without waiting on anyone. Xero is available on request - if part or all of your book runs on Xero, tell us on your scoping call and we build it into your onboarding rather than making you wait on a roadmap. Same for any other source your clients use: if it has an API, it's buildable, we quote it upfront as a fixed price, and once it's built it's available for every client on your account at no extra monthly cost.

Accounting and bookkeeping firms carrying roughly 50 to 200 clients, first and foremost - firms big enough that a per-client platform is worth deploying, and already trying to move up the value chain from reporting to advisory. It also fits fractional CFOs and fractional CMOs who deliver analytics as part of their client engagements. In all cases it gives you enterprise-grade analytics infrastructure you can deploy across a book of clients without a data engineering team or a months-long setup process.

A natural language interface built into every client dashboard, and it works in both directions. Your client can ask questions about their business in plain English - "What drove the revenue dip in March?" or "Which customers are most at risk of churning?" - and get instant, data-backed answers. You can use the same analyst to prep before a client meeting, or to ask a question across your entire book at once: "which clients are under three months of runway" returns a ranked answer instead of ten separate client files.

QuickBooks' AI is genuinely good, but it's scoped to whichever single client file you're logged into - there's no way to compare across your book, and nothing you can hand a client as their own portal. BI tools like Tableau, Power BI, and Looker Studio are built for one analyst to build and maintain reports by hand, with no native way to publish a branded dashboard per client. FP&A platforms are architected and priced around a single company's planning cycle, not a portfolio of clients, and are rarely white-labeled. AI chat with a QuickBooks connector is a great personal workflow, but the output lives in your session - there's no way to publish it, combine sources, or let your client ask their own follow-ups. Every one of them was built for someone running one company. Pineapple Analyst is built for someone running a book of them.

No. The client-facing interface is designed for business owners and operators, not data analysts. Clients can explore dashboards visually or ask the AI Analyst questions directly in plain language. No SQL, no pivot tables, no training required.

Yes, and it's included at every tier rather than sold as an add-on. Your logo, your colors, your firm's name. Your clients experience a polished analytics product you delivered to them, not a third-party tool they were handed a login to. They never see our name.

The subscription is per client, and the per-client rate drops as you add more - so the bigger your book, the lower your rate. Plans start with a 14-day free trial and no credit card required. If you go the white-glove route there's a one-time onboarding investment on top, quoted upfront, that covers your whole book rather than being charged per client. See full pricing details, or start free and look around first.

Yes. Data is encrypted in transit and at rest, each client gets their own isolated data warehouse, and tenant isolation is enforced at three independent layers. Your data is never used to train AI models. Full detail - encryption, isolation architecture, what is and isn't sent to the AI, and retention - is on our security page.

Putting client financials in a new tool is a real decision

We've written up exactly how data is stored, encrypted, isolated between clients, and handled by the AI - in plain language, not marketing copy. Worth five minutes before you connect a client.

Read the security overview

One source of intelligence. Every client.

Your clients can have an AI analyst in under 10 minutes.

Book 15 minutes and we'll scope what a rollout looks like against your actual book - what gets built, what it costs, and how fast your clients go live. Or start free and look around first; there's a demo client pre-loaded if you'd rather not connect a real one yet.

No credit card required · 14-day free trial · White-label included