Written by: JJ Tan, Founder, Jelly | Last updated: 2 September 2026
Key Takeaways
- AI tools for finance automate budgeting, modelling, accounting, and research. They save hours of manual work across spreadsheets, FP&A, and investment platforms.
- Spreadsheet assistants like Microsoft Copilot, Google Gemini, and Claude for Excel suit analysts who want formula generation and multi-tab modelling inside familiar interfaces.
- FP&A platforms such as Datarails and Cube add AI consolidation, anomaly detection, and forecasting while keeping Excel as the primary workspace for mid-market teams.
- Investment research tools like AlphaSense and Hebbia excel at multi-document synthesis, broker research, and due diligence for institutional investors and asset managers.
- Hospitality businesses that need dish-level costing, supplier price alerts, and Xero integration can book a chat with Jelly to see how purpose-built AI cuts admin time and improves margins.
How AI Tools Support Modern Finance Teams
AI now handles much of the repetitive work in finance, from data entry to variance analysis and forecasting. FP&A analysts currently spend 80% of their time on data gathering, formatting, and routine reporting, leaving only 20% for strategic analysis. AI tools are steadily reversing that ratio.
Different roles need different tools. An FP&A analyst, an investment researcher, and a small business owner each require distinct capabilities. Most AI tools for finance fall into three groups: spreadsheet assistants, accounting and FP&A platforms, and investment research terminals. Industry-specific tools such as Jelly for hospitality focus on operational detail that general platforms cannot reach.
AI Tools for Spreadsheets and Financial Modelling
Microsoft Copilot in Excel sits directly inside Excel to build formulas, forecast trends, and turn numbers into presentation slides. April 2026 updates added agentic capabilities, Python execution inside Copilot, and support for GPT-5.5 and Claude Opus 4.7 models. Pricing sits at about $30 per user per month on top of Microsoft 365 licensing, which suits enterprise Excel users.
Google Gemini in Google Sheets gives Workspace users native AI for spreadsheets. It supports formula generation, side-panel explanations, and end-to-end spreadsheet construction released in April 2026. Business and Enterprise Workspace plans include Gemini at no extra cost, which makes it the natural choice for teams already in Google Workspace.
Claude for Excel became generally available on Pro plans in January 2026. It adds full pivot-table editing, chart editing, and conditional formatting. It reads workbooks in place, edits without breaking formula dependencies, and provides cell-level citations. AI Tech Rankings named it Editor’s Choice for finance workflows, scoring 9.6/10 for workbook handling and 9.2/10 overall. It comes with the $20/month Claude Pro plan.
Julius AI is a no-code data science assistant. Users upload a CSV and ask questions in plain English. AI Tech Rankings named it “Best for Beginners” with an 8.5/10 overall score. The free plan caps users at 15 messages monthly, while the $45/month Pro plan removes the cap and unlocks live database connectors.
UK finance teams should align tool choice with their existing ecosystem. Microsoft 365 users gain the lowest friction with Copilot and keep data inside the M365 tenant boundary. Google Workspace users receive Gemini as part of their plan. Claude for Excel offers the strongest support for complex multi-tab financial analysis, although it requires a separate subscription. Julius AI suits analysts who prefer a notebook-style interface for step-by-step analysis. One caveat remains: AI writes formulas well but handles financial modelling logic only moderately, because subtle logic errors always need human review.
Hospitality operators who want to move beyond spreadsheets entirely can book a demo with Jelly.
AI Tools for Accounting and FP&A Teams
Datarails (now FinanceOS) is an Excel-native FP&A platform for SMB and mid-market companies. It includes FP&A Genius conversational AI, AI Analyst for proactive anomaly detection, and AI-enhanced forecasting, and it connects to over 200 data sources including Xero and Sage Intacct. It works best for one-to-five person finance teams that want to keep Excel as the interface.
Planful embeds predictive algorithms into performance management. Planful Predict: Signals flags anomalies and errors, while Predict: Projections generates forecasts from historical data. Enterprise pricing often reaches tens of thousands of pounds annually, which suits mid-market to enterprise organisations.
Cube is a spreadsheet-native FP&A platform that layers AI narratives and anomaly detection on top of Excel and Google Sheets. Pricing starts at about $2,000 per month and fits mid-market teams with $10M–$300M in revenue.
Truewind offers automated bookkeeping with an AI CFO copilot for startups and connects to major accounting platforms.
These platforms provide more robust capabilities than spreadsheet assistants but require longer onboarding. Datarails and Cube are spreadsheet-native, so teams keep working in Excel while AI handles consolidation and variance analysis. Most mid-market implementations take 6–12 weeks. UK hospitality businesses often find that general FP&A tools lack the operational depth for dish-level costing and supplier price tracking, which is where Jelly focuses.
AI Tools for Investment Research and Analysis
AlphaSense is an enterprise-grade AI platform that combines premium content such as broker research, expert calls, filings, and news with proprietary internal research. Forrester named it the only Leader in The Forrester Wave™: Market and Competitive Intelligence Platforms, Q3 2026. Its Generative Grid compares up to 400 documents at once, and SuperAnalyst agentic workflows orchestrate entire research processes.
Hebbia is an AI reasoning platform that has processed more than 1 billion pages of financial documents. Its proprietary iterative source decomposition (ISD) technology links every output to the exact sentence or spreadsheet cell it used, which provides traceability beyond typical retrieval-augmented generation. It integrates with FactSet and PitchBook, and over 40% of the largest asset managers by AUM rely on Hebbia.
FinChat.io is an AI-powered platform for public equity research and company analysis that suits individual investors and smaller teams.
AlphaSense and Hebbia lead the enterprise segment. AlphaSense excels at broker research and expert call transcripts. Hebbia shines in multi-document synthesis and due diligence across proprietary document sets. These tools differ from Bloomberg Terminal by reading unstructured text, including qualitative information in footnotes, MD&A sections, and board presentations that traditional terminals cannot reach.
Free vs Paid AI Tools for Finance Work
Free tiers of ChatGPT, Google Gemini, and Claude already help with drafting, explaining accounting standards, summarising documents, and structuring messy data. ChatGPT’s free tier is currently the most capable free option for finance work.
Free tools hit practical ceilings quickly. Most free tiers impose usage caps of 10–20 messages per day, shorter context windows, older models, and limited file upload support. Many free tiers also use inputs to train future models, which creates serious risk for sensitive financial data. Free AI tools do not write to books, provide an audit trail, or offer support when something fails. Anything with an audit trail carries a price tag.
Paid tiers, which range from $20–30 per month for general AI tools to £129 per month for Jelly and enterprise pricing for FP&A platforms, deliver stronger privacy controls, higher usage limits, and integrations that free tiers cannot match.
Using ChatGPT Safely in Finance
ChatGPT helps with general finance questions, concept explanations, and drafting commentary, but it does not replace professional financial advice or specialised tools. It lacks real-time market data and cannot access your financial systems. Peer-reviewed testing published in MDPI’s journal in 2024 showed that LLMs can produce plausible but incorrect figures on complex multi-step calculations.
Data privacy also matters. Free tiers may use inputs for training, so you should avoid uploading identifiable customer PII or non-public material information to general AI tools. For regulated advice, always work with a qualified professional. For operational finance tasks, choose purpose-built tools with recognised security certifications.
Choosing AI Tools for Financial Accounting
Tool choice for financial accounting depends on business size and complexity.
Small businesses and sole traders benefit from Xero’s JAX assistant, which completes tasks by message, and QuickBooks’ Intuit Intelligence, which categorises expenses and forecasts cash flow. Xero’s Standard plan at $37/month costs meaningfully less than QuickBooks Essentials at $60/month for similar features.
Mid-market organisations with more complex structures often choose Sage Intacct for strong AI-powered accounting in multi-entity environments. Datarails and Cube then add FP&A capabilities on top of existing accounting data.
Hospitality businesses face different needs. General accounting tools do not handle supplier invoice line-item analysis, dish-level costing, or real-time margin tracking. Jelly automates these workflows and integrates with Xero for seamless bookkeeping. AI accounting tools still sit alongside a qualified accountant, who remains essential for complex tax strategy, audit support, and major financial decisions.
How to Select the Right AI Tool for Your Finance Role
- Identify your primary tasks. Clarify whether you mainly build models, close books, research investments, or manage operational costs. Each category points to different tools.
- Evaluate integration with existing systems. Confirm whether the tool connects to your ERP, accounting software such as Xero, Sage, or QuickBooks, or your POS system. Free tools rarely integrate, which forces manual copy-paste workflows.
- Consider data security and compliance. UK firms should verify GDPR compliance, SOC 2 Type II certification, and whether the vendor trains models on customer data. The FCA expects regulated firms to map AI use cases to existing obligations under SMCR and Consumer Duty.
- Trial options before committing. Most paid tools offer free trials or demos. Start with a sample of about 20 rows of your own data before applying AI to full datasets.
- Assess scalability. Check whether the tool can support growth from single-site to multi-site operations and handle higher transaction volumes.
- Calculate ROI. Compare subscription costs with time saved. A tool that saves more than 5 hours per month usually pays for itself.
Key UK Considerations for Finance AI
HMRC Making Tax Digital: Choose accounting or bookkeeping AI tools that support MTD-compliant digital record-keeping and VAT return filing.
FCA Regulations: The FCA will rely on existing frameworks such as Consumer Duty, SMCR, and governance expectations rather than new AI-specific rules. Regulated firms must map AI use cases to applicable obligations and assign a named accountable senior manager. The FCA fined Goldman Sachs International £34.4 million for automated reporting failures, which shows that accountability under existing rules is active and enforced.
GDPR and Data Protection: The Data (Use and Access) Act 2025 reframed Article 22 of UK GDPR from “prohibition with exceptions” to “right of challenge with safeguards”. AI-influenced automated decisions require transparency, clear rights to human intervention, and contestability. Conduct a DPIA for any meaningful AI implementation that processes personal data.
Data Residency: Microsoft’s data residency policies extend to Copilot in Excel, so enterprise data remains inside the M365 tenant boundary. Always verify where your data is stored and processed for any AI tool.
UK Support and Availability: Prioritise tools with UK-based support teams and clear data processing locations. Jelly is built for UK hospitality operators and offers UK-based support.
Jelly for Hospitality: AI That Knows Your Menu
Jelly focuses on the specific challenges of finance teams in restaurants, pubs, and hotels. General FP&A platforms often require months of onboarding and still cannot show whether a sea bass dish is profitable this week. Jelly delivers that level of insight.
Jelly’s core capabilities include:
- Automated invoice scanning via email or photo that digitises every line item, including quantity, SKU, price, and tax
- Real-time dish costing with live gross profit margins that update with every new invoice
- Price Alerts that flag every ingredient price increase or decrease from any supplier
- Flash Reports that show daily, weekly, or monthly GP margin by integrating with POS systems
- Menu Engineering (Sales Mix) that highlights which dishes are most popular and most profitable
- One-click push of digitised invoices to Xero accounting software, with Sage integration coming soon, delivering a 90% reduction in bookkeeping time
Jelly integrates natively with Square, Lightspeed, EPOS Now, and Toast through real-time APIs. It delivers item-level sales data as soon as a transaction completes. POS setup usually takes about five minutes for each of these systems.
The value is measurable. Jelly saves 10–20 hours of admin every month, cuts food costs by about 3% on average in the first three months, and adds 2 percentage points to gross margins. Flat-rate pricing of £129 per month per location avoids per-user or per-feature charges.
Amber, a Mediterranean restaurant in East London, saves £3,000–£4,000 each month with Jelly and achieves a 68 times return on investment. Before Jelly, Chef-Owner Murat Kilic relied on tedious manual costing and pricing in spreadsheets. His verdict: “Jelly keeps my business alive.”
Stuart Noble, Head Chef at Cairn Lodge Hotel, reports a similar shift: “Price hikes were crushing our margins, I felt helpless. With Jelly, every dish cost is up-to-date at my fingertips. We slashed food costs by 5% in a month, it is a game changer!”
Sushi Revolution uses Jelly to set separate target gross profits on dine-in and delivery menus, accounting for 30% delivery commissions. Their actual gross profits now sit 2–3% higher on average. Their monthly stocktake takes 5–20 minutes instead of 2–3 hours.
Jelly keeps the interface clean and intuitive, so even the least tech-confident chef can use it. Costing a single menu item now takes about 3 minutes instead of 28.
Hospitality operators who want these results can schedule a chat with the Jelly team today.
Frequently Asked Questions
What is the best AI tool for finance?
The best AI tool for finance depends on your role and industry. For spreadsheet work, Microsoft Copilot in Excel and Claude for Excel stand out, with Claude particularly strong for complex multi-tab financial analysis. For FP&A, Datarails and Cube keep Excel as the interface while adding AI-powered consolidation, anomaly detection, and variance analysis. For investment research, AlphaSense leads on broker research and expert call transcripts, while Hebbia excels at multi-document synthesis and due diligence. For hospitality finance, Jelly automates invoice processing, dish costing, and margin tracking. It typically saves 10–20 hours of admin each month, cuts food costs by about 3% in the first three months, and adds 2 percentage points to gross margins.
Is there a free AI tool for finance?
Free tiers of ChatGPT, Google Gemini, and Claude support drafting financial commentary, summarising documents, explaining accounting standards, and basic data analysis. ChatGPT’s free tier is currently the most capable free option for general finance work. Free tools, however, come with limits such as 10–20 messages per day, shorter context windows, older models, limited file uploads, and no integration with accounting software or ERPs. Many free tiers also use your inputs to train future models, which creates risk for sensitive financial data. Professional finance work that needs audit trails, data security, and system integration requires paid tools. Jelly offers a demo so you can evaluate its hospitality finance platform before committing.
Can I use ChatGPT as a financial advisor?
ChatGPT can explain financial concepts, help draft commentary, and assist with one-off analysis, but it does not act as a financial advisor. It lacks real-time market data, cannot connect to your financial systems, and peer-reviewed research has shown that it can produce plausible but incorrect figures on complex multi-step calculations. For regulated financial advice on investments, pensions, credit, or insurance, always consult a qualified professional authorised by the FCA. For operational finance tasks such as invoice processing, dish costing, or margin tracking, purpose-built tools with strong security and compliance credentials are the right choice.
Which AI is best for financial accounting?
Small businesses and sole traders often choose Xero with its JAX generative AI assistant or QuickBooks with Intuit Intelligence. Both offer integrated AI features for transaction categorisation, anomaly detection, and cash flow forecasting. Xero’s Standard plan usually provides the more cost-effective option for similar features. Mid-market organisations with multi-entity structures often select Sage Intacct for robust AI-powered accounting. Hospitality businesses gain more from Jelly, which automates supplier invoice processing line by line, integrates directly with Xero, and delivers real-time margin insights. This approach reduces bookkeeping time by about 90% and gives operators dish-level cost visibility that general accounting tools do not provide. AI accounting tools still work alongside a qualified accountant for complex tax, audit support, and major financial decisions.
Conclusion: Matching AI Tools to Your Finance Needs
The right AI tool for finance depends on your role, current systems, and industry. Spreadsheet assistants such as Copilot and Claude for Excel support analysts who build and maintain financial models. FP&A platforms such as Datarails and Planful support finance teams that manage consolidation, forecasting, and variance analysis. Investment research tools such as AlphaSense and Hebbia support investors who synthesise structured and unstructured data at scale. Free tools offer real value but remain limited, and UK professionals must consider GDPR, FCA obligations, and data residency when assessing any option.
Hospitality finance teams in restaurants, pubs, and hotels gain the most from Jelly. It automates the workflows that matter most, including invoice processing, dish costing, supplier price tracking, and margin analysis, without the long onboarding cycles of general FP&A platforms. Operators consistently report lower food costs, stronger margins, and hours of admin time returned every week.
To see what Jelly can do for your business, book a demo or schedule a chat today.