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Claude Cowork for Finance Professionals: From Spreadsheets and Reconciliations to Smart Finance Automation
Date & Time
Fri, December 11, 2026
10:00 AM PST
01:00 PM EST
Duration
90 Mins
Webinar ID
IQW26L1250
Level
Basic & Intermediate
Speaker
Mr.Rahul Tiwari
- What Claude Cowork is, and why agentic AI matters for finance teams
- Setting up Cowork: installation, sign-in, and granting folder access safely
- Writing clear task instructions for finance work
- Use case: extracting data from multiple vendor invoices into an AP register in Excel
- Use case: reconciling a bank statement against the ledger and flagging unmatched items
- Use case: budget-versus-actual variance analysis with a management commentary memo
- Use case: building a month-end close checklist and status tracker
- Use case: turning monthly results into a finance summary report and leadership slides
- Scheduling recurring finance reports, such as weekly cash or expense summaries
- Extending Cowork with connectors (email, calendar, cloud drives), plugins and skills
- Verifying outputs: checking formulas, totals and source traceability
- Controls and governance: data confidentiality, access, review and approval steps
- Identifying the best automation opportunities in your finance function
Overview of the webinar
Finance runs on spreadsheets, documents and repeatable processes, which makes it one of the functions that gains most from AI that can actually do the work. Claude Cowork is an AI agent from Anthropic that runs in the Claude desktop app. With permission to access selected folders, it reads invoices, statements, ledgers and reports, breaks a finance request into steps, and produces finished, review-ready outputs.
This session demonstrates Cowork on a set of everyday finance tasks: extracting data from a batch of vendor invoices into a structured AP register, reconciling a bank statement against the ledger and flagging unmatched items, performing a budget-versus-actual variance analysis in Excel with a management commentary memo, building a month-end close checklist and status tracker, and turning monthly results into a finance summary and leadership slides. It also shows how to schedule a recurring cash or expense report so it is ready without manual effort.
Participants will learn how connectors, plugins and skills extend Cowork into email, calendars and cloud drives, and how to capture their team’s formats and policies so every output stays consistent.
Because finance outputs drive decisions and face audit scrutiny, control runs throughout: limiting folder access, protecting confidential financial data, checking formulas and totals, and keeping a human review and approval step before anything is finalised or shared.
Who should attend?
- CFO's and Finance Controllers
- CPA's
- Assistant Controllers
- Finance Managers
- Accounting Managers
- Senior Accountants
- Financial Analysts and FP&A Professionals
- Bookkeepers
- Accountants and Account Executives
- Accounts Payable and Receivable Teams
- Treasury and Cash Management Professionals
- Internal Auditors
- SOX and Internal Controls Professionals
- Tax Professionals
- Finance Shared Services Teams and Business Finance Partners
Why should you attend?
Finance teams spend a large share of every month on manual work: keying invoice data into spreadsheets, reconciling statements line by line, preparing budget-versus-actual variance reports, chasing close tasks, and rebuilding the same management packs. This work demands accuracy, yet it is repetitive and leaves little time for analysis and business partnering.
Claude Cowork, Anthropic’s AI agent for the desktop, can take much of this off your plate. It works directly with the files and folders on your computer, plans multi-step tasks, and delivers finished Excel workbooks, Word memos and presentations. In this session you will see real finance tasks automated live, with no coding involved. You will learn how to delegate finance work to Cowork safely, how to verify every number before it reaches stakeholders, and how to keep the review controls auditors expect. You will leave with practical use cases you can apply in your own finance function the same week.
Faculty - Mr.Rahul Tiwari
Data Scientist, GenAI Architect & Corporate Trainer | 19+ years delivering end-to-end AI, Machine Learning, Deep Learning & Generative AI solutions for Fortune 500 enterprises across Finance, Banking, Retail, Pharma, Insurance & Technology.
I help organizations move from 'AI curiosity' to 'AI in production' — through hands-on engineering, strategic consulting, and large-scale enablement. My work spans the full modern AI stack: classical ML, Deep Learning (CNNs, RNNs, Transformers), LLMs, Retrieval-Augmented Generation (RAG), Agentic AI with LangChain & LangGraph, prompt engineering, evaluation & guardrails, and AI-augmented productivity with Microsoft Copilot, Claude Code, and Claude Cowork.