90%
Faster Reconciliation
How a mid-size accounting firm used AI agents to automate bank reconciliation and reduce month-end close from 5 days to 1.
Read deploymentLoading…
Loading…
AI finance agents reduce manual entry by 70% and speed reconciliation 3x by learning your chart of accounts (G2, vendor studies). Connect your books and go live—no code.
Automation workflow
from $247/month
2 ready finance workflows on n8n — set up, hosted and maintained for you. You keep the JSON.
Custom AI agent
from $2,000
Built for your systems and rules on Claude and n8n. Live in 2–4 weeks with documentation and a walkthrough; maintenance optional from $99/month.
Real outcomes from real builds — not marketing copy.
Connect your accounting system and bank feeds. Map chart of accounts and rules.
Set categorization rules and matching criteria. Define approval workflows.
The agent categorizes and matches. Finance reviews and approves. Reports and close run with less manual work.
Coding transactions is repetitive. Rules get out of date and exceptions pile up.
Connect bank feeds and chart of accounts; the agent suggests categories and learns from corrections. You approve or adjust; rules improve over time.
Tools: QuickBooks, Xero, Botkeeper
Reconciliation is tedious. Discrepancies slip through when volume is high.
Connect bank, AP/AR, and general ledger; the agent matches transactions and flags breaks. You resolve exceptions; it learns from your decisions.
Tools: QuickBooks, BlackLine, FloQast
Financial analysts spend countless hours reading through 10-Ks, 10-Qs, and earnings transcripts to extract specific data points or sentiment.
The agent digests all public financial data, allowing users to ask natural language questions, generate summaries, and instantly extract KPI trends.
Tools: FinChat, AlphaSense, Kensho
Expense reports are a headache for everyone: employees hate filing them, managers hate reviewing them, and finance hates reconciling them. Policy violations go undetected until audit.
The AI agent reads receipt images (OCR), categorizes expenses, checks against company policy (meal limits, travel caps, approved vendors), routes for approval, and flags anomalies (duplicate submissions, personal charges). The process is automated end-to-end.
Tools: Brex, Ramp, Navan
Finance teams build cash flow projections in spreadsheets using stale data and guesswork. Forecasts drift within days, leaving leadership blind to upcoming liquidity gaps or surplus opportunities.
The AI agent ingests bank feeds, AP/AR ledgers, and revenue pipeline data to produce a continuously updated cash flow forecast. It flags weeks where projected balances dip below safety thresholds and recommends actions like accelerating collections or delaying discretionary spend.
Tools: Runway, Jirav, Planful
FP&A teams spend 60–70% of their time on data gathering, consolidation, and manual model building. Annual budgets take 2–3 months to build, rolling forecasts are updated monthly (at best), and variance analysis is retrospective rather than predictive. By the time a report is finished, the data is stale and decisions have already been made on gut feel.
The AI agent connects to your ERP, CRM, and operational systems, automatically building and updating financial models. It generates rolling forecasts that update weekly (or daily), produces budget-vs-actual variance reports with AI-generated explanations for key variances, and runs scenario analysis on demand ('What if revenue drops 15%? What if we hire 10 people next quarter?').
Tools: Mosaic, Pigment, Abacum
Each blueprint shows the trigger, the steps with the n8n nodes named, the guardrails and an importable template — and what it costs to have us run it for you.
Tell us your workflow — we'll send a free scope and timeline within 48 hours.
Not quite? Take a look at ai hr agent — the closest neighbour.
Help with bookkeeping, reconciliation, and reporting by categorizing transactions, matching records, and generating reports. Integrate with accounting systems so finance teams spend less time on manual entry and more on analysis and strategy.
AI finance agents reduce manual entry by up to 70% and speed reconciliation by 3x when trained on your chart of accounts. G2 and vendor case studies show 85%+ categorization accuracy with human review for exceptions. Connect bank and GL; the agent suggests codes and matches—you approve and own the books.
Unlike a generic chatbot or manual process, an AI finance agent runs autonomously and integrates with your existing tools. Gartner projects that by 2026, over 80% of enterprises will have used GenAI APIs or applications.
Pick the path that fits your team and timeline. Most companies start with one and grow into the others.
Wire up a ready platform yourself. Best for hands-on teams comfortable configuring software.
See finance toolsWe scope, build, and deploy your agent — integrated with your CRM and tools. Best for teams that want it live in days, not months.
See the ROI and cost before you commit — useful for justifying the decision internally.
Invoice Processing Cost CalculatorIf you’d rather DIY, these are the tools we’d reach for. Each lets finance teams run an AI finance agent without writing code.
Bookkeeping and reconciliation
AI equity research and financial analysis
Contract and invoice handling
SMB accounting with AI assist
Reconciliation and close automation
We may earn a commission when you sign up via our links. How we recommend tools
Calculate your true cost per invoice and total AP processing spend. See how AI automation can cut costs by 60–80%.
Calculate the time and cost of managing dollar-cost averaging manually and how AI automates it.
Calculate how long and how much your month-end close costs and how AI can cut it by 50%.
Calculate how much time your team spends on data requests and how AI agents deliver instant answers.
No. It augments them. According to G2 and accounting software surveys, AI handles high-volume categorization and matching; accountants and controllers review, approve, and own the books. Use AI to scale capacity, not to remove human oversight.
Good tools learn from your history and rules. According to G2 and vendor case studies, AI categorization accuracy often reaches 85%+ when trained on your chart of accounts and rules. Set confidence thresholds and require human review for low-confidence or high-value items.
Tell us your workflow and we'll send a free AI build plan for finance teams — scope, recommended agents, and a go-live timeline — within 48 hours. No obligation.
Or just email [email protected]