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Validity : 23rd Oct'26 to 02nd Nov'26
Claude has four things it can do: read, reason, write, and act. Most organizations have only unlocked the first three. The fourth one - acting on your systems, not just answering questions about them - is where the real productivity gains live. Connecting Claude to your tools through MCP is what makes that possible.
We walk through how Claude automation works in practice. How to figure out which tasks are worth automating and which ones still need a human. How to connect Claude to the systems your team already uses. How to build automations that fail gracefully when something goes wrong rather than silently doing the wrong thing.
We look at real examples across several business functions. Customer support teams using Claude to triage and draft responses. Sales teams using it to research accounts and draft outreach. Operations teams using it to pull together reports that used to take half a day. Each example covers the before and after and the specific setup that makes it work.
We also spend time on the controls side: how to log what Claude did, how to build in human approval steps for actions that matter, and how to make sure your automations stay auditable as they scale.
Most teams use Claude like a search engine. They type a question, read the answer, and move on. That works fine for some things. But it leaves most of Claude's value on the table, because Claude can actually do things, not just answer things, if you connect it to your systems.
When Claude is hooked into your CRM, your ticketing system, your email, your databases, and your internal tools, it can research, draft, update records, route tasks, and trigger workflows. Tasks that used to take a team member an hour can happen in minutes, consistently, without the manual overhead.
This session is for people who want to get there. No development experience required. We focus on practical patterns, real examples from teams that have done this, and the specific things you need to get right to make automations that actually hold up.
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.