FinTel is the analyst you've needed but couldn't justify billing a client for. It maintains running institutional memory for every client, generates Budget vs. Actuals automatically, keeps scenario models live, and answers financial questions in 15 seconds instead of 15 minutes.
Fractional CFOs live in a paradox: clients hire them for strategic financial leadership, but the actual work is 60% data wrangling. Building the same variance analysis from scratch for Client B after just finishing it for Client A. Maintaining scenario models in spreadsheets that break when an assumption changes. Hunting through email for a budget document uploaded three months ago. And through all of it -- the constant cognitive load of holding 10 different companies' financial realities in your head at once.
FinTel is the analyst you've needed but couldn't justify billing a client for.
It maintains a running institutional memory for every client -- every uploaded document, every AI conversation, every variance flag -- so when you switch from Client A on Tuesday to Client B on Wednesday, the context is there waiting for you. Budget vs. Actuals is generated automatically the moment new period data syncs. Scenario models are live, not spreadsheets. And the AI Chat means you can answer "what's our Q2 cash position?" in 15 seconds instead of 15 minutes.
The result: you can serve more clients, deliver more value, and spend your actual time on the strategic work they hired you for.
Auto-generated Income Statement, Balance Sheet, and Cash Flow Statement with full cross-statement linking. Changes to revenue assumptions in the P&L automatically flow to the balance sheet and cash flow -- no manual reconciliation required. Adjust inputs and see updated projections in real time across all three statements simultaneously.
Budget vs. Actuals analysis that generates automatically when new period data syncs. FinTel calculates variances across every line item, flags significant deviations, and writes a first-draft AI narrative explaining what moved and why -- based on the actual transaction data. You edit, not build. Cut BvA prep time from 2-3 hours per client to 20 minutes of review.
Build named scenarios -- "Base Case," "Accelerated Hiring," "Revenue Miss -20%" -- and toggle between them without touching a formula. Each scenario updates the three-statement forecast, cash runway, and KPIs instantly. Share a specific scenario with a client or export it to Excel for board delivery. No more one-off models that live on your hard drive.
Generate forward-looking financial projections tied to real historical data. Pro Forma models support SBA loan packages, investor diligence, and internal planning cycles. Upload assumptions or let the AI extrapolate from trends -- then adjust, review, and export in a format lenders and investors recognize.
A unified revenue forecasting engine that pulls from up to five input sources: accounting platform actuals, uploaded pipeline data, historical trends, contract schedules, and manual inputs. Model by customer segment, product line, or geography. Connect a CRM export and FinTel automatically maps pipeline to projected revenue.
Headcount planning integrated directly into the forecast. Add a new hire, set their start date, salary, and benefits load -- and see the immediate impact on the income statement and cash runway. Model full-time, part-time, and contractor scenarios. For the first time, "can we afford to hire in Q3?" has a real answer backed by the actual model, not a mental estimate.
The AI Chat is your on-demand analyst. Use @mentions to pull specific data points into the conversation, ask it to generate artifacts like formatted tables and charts, request file exports, and set scheduled prompts that auto-run on a cadence ("every Friday at 5pm, summarize this week's cash movements for Client A"). The AI has full access to transactions, documents, KPIs, and forecast data -- and remembers everything discussed in prior sessions.
Upload any financial document -- a board-approved budget, a bank's debt covenants PDF, a CRM pipeline export, a prior-year audit -- and FinTel reads it, extracts the key data, and makes it available to the AI and to variance analysis. A new budget upload triggers an automatic BvA refresh. Stop hunting through email for the document you need.
Every client's financial history, uploaded documents, AI conversations, and flagged insights are stored and recalled across sessions. When you come back to Client B after two weeks on Client A, FinTel surfaces what changed, what was flagged, and what you said you'd follow up on. Context switching stops costing you 20 minutes of mental re-loading.
Model existing debt obligations, amortization schedules, and covenant thresholds directly in the forecast. FinTel tracks minimum cash balance covenants, DSCR requirements, and balloon payments -- and surfaces alerts when a scenario puts a client in breach territory. Stop tracking covenants in a spreadsheet that nobody updates.
Three-scenario cash runway modeling (optimistic, base, pessimistic) with automatic updates as actuals sync. Drill into what's driving the runway change -- is it AR collections, payroll timing, or a new vendor contract? Share the runway chart directly in client reports or the portal.
Generate a clean, formatted Excel workbook with 8-10 sheets including the three-statement model, BvA, scenario outputs, KPI summary, and supporting schedules -- complete with live formulas and embedded charts. For clients who still want to "live in Excel," you can give them a model that looks like you built it from scratch over a weekend.
Log in and open the Portfolio Dashboard. Fifteen clients visible. Thirteen are green. Two are yellow. One flag you already know about -- a professional services client running behind on collections. The other is new: a SaaS client's gross margin dropped 6 points month-over-month. That's your morning.
Open Client A's workspace. The BvA module has already generated the variance analysis from last night's data sync. Revenue was $312,000 vs. a $340,000 budget -- a $28,000 unfavorable variance. The AI commentary draft explains that the shortfall is concentrated in the Enterprise segment, where two expected expansion deals slipped to next month. You edit two sentences, sharpen the recommendation ("accelerate Q4 renewal conversations"), and the narrative is done in 12 minutes.
Run Report Generation for Client A. The monthly report builds in 90 seconds -- BvA section, three-statement summary, KPI dashboard, and AI narrative, all formatted and branded. You review it, make one adjustment to the gross margin chart label, and publish it to Client A's portal. A notification goes to the CFO and CEO automatically.
Still in Client A's workspace. Open the Three-Statement Forecast. The base case shows cash dipping to $180,000 in September -- below the $250,000 operating minimum you established in the prior quarter's planning session. Open Scenario Planning. Create a new scenario: "Delay 2 Engineering Hires." Set the two Q2 hire dates back to Q4. Cash runway in September jumps to $410,000. Create a second scenario: "Close Pipeline Deal in July." Revenue model shows a $95,000 contract that's 70% probability -- pull it in as confirmed. September cash now $505,000. You've built two credible scenarios in under 20 minutes.
Export both scenarios to the client's portal. Add a brief note in the report section: "Two paths to healthy Q3 liquidity -- let's discuss Wednesday." The client gets a notification. You move on.
Open Client B's workspace. Institutional Memory surfaces a note from three weeks ago: "Board requested updated budget model after losing the Hartwell contract." A new document is in the Document Management queue -- a revised budget uploaded by the client's controller yesterday. FinTel has already parsed it and auto-refreshed the BvA. Budget is now $2.1M for the year, down from $2.4M. The variance analysis regenerated automatically.
Open the Revenue Model. Current pipeline, mapped from the uploaded CRM export, shows $1.7M in projected revenue -- a $400,000 gap against the revised budget. Drill into the model: the gap is almost entirely in the back half of the year, where three proposals are sitting at "early stage." Flag this for the next client call. AI Chat: "What's the average sales cycle length for Client B based on prior year closed deals?" Response in 8 seconds: "Average 74 days from first proposal to close." You note it in the report.
Open AI Chat across three remaining clients. "What are the five largest expense increases this month vs. last month for Client C?" Done in seconds. "Summarize Client D's cash position and AR aging." Done. "Has Client E hit their Q3 revenue target yet?" Not yet -- 78% of target with two months left. Schedule a prompt: "Every Friday at 4:30 PM, generate a cash and AR summary for Client E and add it to their portal."
The scheduled prompt runs. Client E's Friday summary posts to their portal automatically. No manual work required. The client's CEO logs in, reads it, and sends a message: "This is exactly what I needed. Can we do this for the full board?"
FinTel lets you run 10+ clients at the level of a full finance team -- zero analysts, zero spreadsheet rebuilds, and zero context lost between Monday and Friday.