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AI Assistants for Accounting and Finance: A Practical Guide to Claude and ChatGPT for CPAs and Finance Professionals
- How Claude and ChatGPT actually work, and why every output needs a human review before you rely on it
- How the two assistants differ, and a simple rule of thumb for which one to reach for on a given task
- The specific accounting and finance tasks where these tools save real hours, from client emails to variance commentary
- A reusable prompt method built on four ingredients: Role, Task, Context, and Format
- The firm safety habits that keep AI use defensible: protecting client data, checking every figure, and retaining professional sign-off
- Practical first steps to put one task to work in your own practice the same week
Overview of the webinar
Claude and ChatGPT are AI assistants that read and write text. The most useful way to think of each is as a very fast, very well-read colleague: broadly capable and quick, but confident even when wrong. That single idea shapes the whole session, because it explains both where these tools create value and why every output needs a human review before it is relied upon.
The session opens by demystifying what these tools actually are, stripping away the hype so attendees hold a realistic mental model. It then gives an honest, vendor-neutral comparison of Claude and ChatGPT. Both offer a family of models rather than a single one: Claude spans a fast, economical tier through to its strongest reasoning models, and ChatGPT does the same across its current GPT-5.6 family. Claude tends to excel at long documents, careful reasoning, and client-facing tone, while ChatGPT offers the widest ecosystem of integrations, voice, and images. A plain rule of thumb helps attendees decide which to open for a given job, with the practical advice to use both and keep the better answer on tasks that matter.
The heart of the webinar is a tour of real accounting and finance use cases: drafting client emails and engagement letters, summarising long leases, contracts, and standards updates, explaining technical standards in plain language, producing first-draft Excel formulas, turning messy notes into structured working papers, and drafting variance commentary. Attendees then learn a reusable prompt recipe built on four ingredients: Role, Task, Context, and Format, illustrated with a weak-versus-strong before-and-after example.
The session closes with a light-touch but firm treatment of safety: never pasting identifiable client data into consumer tools, checking every number and citation, understanding the difference between free, personal, and business plan tiers for data protection, and retaining professional sign-off. A short pricing snapshot and a set of practical first steps send attendees away ready to put one small task to work the same week.
Who should attend?
- CPAs
- Accountants
- Finance professionals
- Financial Analysts
- Solo Practitioners and Small Firm Bookkeepers
- Finance Team Leaders at any level of AI experience. No technical background is required
Why should you attend?
Almost every accountant and finance professional has now heard of Claude and ChatGPT, but very few have a clear, practical picture of how to use them safely in real client and finance work. The gap is rarely about the tools themselves. It is about knowing which one to reach for, how to instruct it well, and where the firm lines around client data and professional judgement sit.
This webinar closes that gap. It is built for a global audience at every level of experience, from people who have never opened either tool to those already using them daily. Attendees will leave understanding how the two assistants differ, the specific accounting and finance tasks where they save real hours, a simple prompting method that dramatically improves output quality, and the handful of safety habits that keep AI use defensible in a regulated practice.
Faculty - Mr.Abdur Rahman
Abdur is a strategic leader focused on the intersection of artificial intelligence, cybersecurity, accounting, and regulatory risk. He helps organizations navigate complex technology environments while strengthening AI governance, security, financial accountability, internal controls, enterprise risk management, and regulatory readiness.
His work centers on the responsible adoption of artificial intelligence across enterprise systems and decision-making processes. He examines how AI governance intersects with cybersecurity, accounting, audit, privacy, compliance, legal obligations, and operational resilience, helping organizations establish practical frameworks for managing emerging risks and opportunities.
Abdur is a Certified Public Accountant (CPA) and a Certified Information Systems Auditor (CISA). He also holds AI-related certifications focused on artificial intelligence, AI governance, responsible AI, machine learning, and emerging technology risk, along with additional certifications spanning security, cloud technologies, governance, and related disciplines. His leadership reflects a multidisciplinary approach to building trustworthy, accountable, and resilient organizations in an increasingly AI-driven regulatory environment.