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Validity : 12th Sep'26 to 22nd Sep'26
Agentic AI for Financial Reporting and Variance Analysis
- How an agent assembles a management pack from your actuals and budget
- How it drafts variance commentary and drills into the drivers behind each number
- The checks that keep AI-written commentary tied to the real data
- How to give an agent the context so its draft sounds like your team
- Where the analyst's review adds the judgment an agent cannot
- A realistic view of the time saved and the review effort still required
Overview of the webinar
This session shows how an AI agent can take the monthly reporting grind off your analysts' plates. We follow the familiar task of building a management pack: pulling actuals, comparing them to budget, and explaining what moved and why. You will see the agent assemble the pack, draft the actual versus budget commentary, and drill into the drivers behind each variance, so instead of spending two days building a board deck, an analyst reviews and edits a draft. We are direct about the risks: an agent can write fluent commentary that is subtly wrong, so we show the checks that keep the narrative honest and tied to the underlying data. We also cover how to give the agent the context it needs, from your chart of accounts to your reporting conventions, so its first draft actually sounds like your team. Designed for a global, mixed-skill audience with no technical prerequisites.
Who should attend?
- Financial Analysts
- Financial Reporting Managers
- Corporate Controllers
- Assistant Controllers
- Accounting Managers overseeing close and reporting cycles
- FP&A Teams
- Controllers
- Finance business partners who build management and board reporting
- Suitable for CPAs and non-technical finance professionals
Why should you attend?
Building the monthly management pack eats days that analysts would rather spend on analysis. An agent can assemble the pack, write the first draft of the commentary, and drill into the drivers behind each variance, leaving your team to review and sharpen rather than build from scratch. This session shows how to get that leverage while keeping the numbers and the narrative trustworthy.
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.