Agentic AI: Business Domain Agent Workflows

Deploy AI agents across every enterprise function — finance, legal, marketing, HR, and operations — using the 10-80-10 framework: humans judge, agents execute

“AI Executes, Professionals Judge”

The 10-80-10 Rhythm: Humans set intent & constraints (10%) → Agents execute (80%) → Professionals verify & decide (10%)

Course Overview

This advanced program covers 16 chapters across 7 sections, teaching you how to deploy AI agents into real enterprise business functions. Unlike toy demos, every exercise is scoped for single-day completion with direct organizational deployment potential.

Output: Production-ready agent configurations, validated SKILL.md libraries, and jurisdiction-specific overlays — not just theory.

What You'll Learn

Design and deploy enterprise-grade AI agents across all major business domains
Build SKILL.md libraries that encode professional expertise into scalable agent assets
Apply the 10-80-10 rhythm: agents execute, professionals judge critical decisions
Implement governance and escalation frameworks that satisfy enterprise risk standards
Automate finance, legal, HR, marketing, and operations workflows end-to-end
Configure jurisdiction-specific overlays for Islamic finance and international compliance
Orchestrate multi-domain agents into cohesive enterprise intelligence systems
Lead AI transformation initiatives as a domain expert or AI engineer

Who Should Attend

Subject Matter Experts encoding professional judgment into SKILL.md libraries
AI Engineers & Developers building enterprise-grade, compliant systems
Executive Leaders navigating safe AI deployment and governance
Product Managers mapping enterprise functions to agent workflows
Banking & Finance professionals specializing in Islamic finance or regulatory AI
Senior Operational Leaders looking to productize their expertise

Duration

12 Weeks

Chapters

16 Chapters

Sections

7 Sections

Certificate

Available

Level

Advanced

Format

Online / LMS

Course Rating

4.9 (50+ students)

Enroll via WhatsApp

Course Curriculum — 7 Sections, 16 Chapters

Section I: Foundations of Enterprise Agentic AI

Chapters 25–27

Establish the strategic and architectural foundation for deploying AI agents in enterprise environments.

Enterprise Agentic Landscape 2026 — strategic overview and opportunity map

Enterprise Agent Blueprint & PQP (Plan-Queue-Process) Framework

Knowledge Extraction Methodology — turning institutional knowledge into agent assets

Platform comparison: Cowork vs. Frontier and when to use each

SKILL.md file authoring and MCP connector architecture

Governance layers, audit trails, and enterprise compliance guardrails

Tacit knowledge transformation: encoding expert judgment into reusable agents

Section II: The Office of the CFO — Finance Domain Agents

Chapters 28–32

Build and deploy AI agents that automate core finance workflows while preserving professional judgment.

Finance Domain Agents: financial statements, DCF valuation, and variance analysis

Intent-Driven Financial Architecture — designing finance agents around CFO intent

CA/CPA Practice Transformation — audit workflows, tax provision, and compliance automation

Islamic Finance agents: 26 SKILL.md files covering Murabaha, Sukuk, and 7 jurisdictions

Banking AI: IFRS 9 credit loss modeling, Basel III/IV capital adequacy

AML transaction monitoring and regulatory reporting automation

Professional ethics: when agents execute and when qualified accountants must decide

III

Section III: Legal & Compliance Operations

Chapter 33

Automate legal operations while maintaining strict professional and regulatory boundaries.

Contract Lifecycle Management: drafting, review, negotiation, and renewal

IP protection workflows and automated regulatory monitoring

Risk tracking, audit readiness, and compliance documentation

Governance escalation: "Certain decisions must always involve a qualified attorney"

Cross-jurisdictional compliance overlays and jurisdiction-specific agent configurations

Section IV: The Growth Engine — Sales, RevOps & Marketing

Chapter 34

Apply the 10-80-10 rhythm to democratise top-performer capabilities across revenue teams.

Prospecting agents and automated lead scoring

CRM enrichment and personalised outreach at scale

Campaign optimization and pipeline forecasting

RevOps automation: handoffs, attribution, and reporting

Philosophy: "AI democratises top-performer capabilities across teams"

Section V: Product & Value Chain

Chapters 35–36

Automate supply chain, procurement, and product management workflows with AI agents.

Vendor management and purchase order reconciliation

Logistics optimization and demand forecasting

Feature specification and roadmap prioritization with AI assistance

User research synthesis and product decision support

Integrating supply chain agents with finance and operations layers

Section VI: People & Efficiency — HR and Operations

Chapters 37–39

Deploy AI agents to transform HR, operations, and workplace productivity.

Onboarding automation and institutional memory preservation

Process documentation and standard operating procedure generation

Compliance tracking for HR regulations and labour law

Cross-domain orchestration: connecting HR agents with finance and legal

Productivity & the Agentic Office: building a workplace memory layer

VII

Section VII: Innovation Lab — Intrapreneurship & Lean AI

Chapter 40

Synthesise all domain agents into a unified innovation and intrapreneurship capability.

Lean Startup AI integration: hypothesis → build → measure → learn

Design Thinking and Agile acceleration with AI agents

Business plan drafting and investor pitch preparation

Combining finance, legal, marketing, and operations agents for end-to-end innovation

Building reusable agent portfolios that scale across the organization

Unifying Curriculum Threads

SKILL.md Accumulation

Build a growing domain knowledge library of agent configurations deployable immediately in real organizations.

Governance Escalation

Learn precise boundaries between agent execution and professional judgment — the 10-80-10 framework applied consistently.

Integration Architecture

Each section is designed to interoperate — finance agents connect to legal, legal connects to HR, and so on.

Deploy AI Across Your Entire Enterprise

Stop experimenting. Start deploying. Build production-ready agent systems that transform every department — with governance, compliance, and professional standards built in.

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