| π View Lecture Slides | Full-screen presentation with navigation |
Day 10: Workflow Automation & The Executive Sandbox Pitch
| Session Duration: 2 Hours Β | Β Phase: 4 β Amplification & Future-Proofing |
Learning Objectives
By the end of this session, students will be able to:
- Map an end-to-end automated marketing workflow using trigger-action logic
- Explain the conceptual role of APIs in connecting marketing software ecosystems
- Articulate the key principles of AI ethics, copyright law, and data privacy as they apply to marketing
- Use AI to audit and condense a complete marketing strategy into an executive summary
- Deliver a structured 5-minute βExecutive Sandbox Pitchβ presenting their full 10-day strategy
Hour 1: Strategy & Prompt Design (Instructor-Led β 60 minutes)
10.1 Agentic Marketing Operations
βAgentic Marketingβ refers to the deployment of interconnected software systems and AI agents that execute marketing tasks with minimal human intervention. It is the next evolution beyond simple automation β systems that donβt just react to triggers, but actively monitor conditions, make decisions, and take sequences of actions.
A traditional automation: βWhen someone fills out the contact form, send them an email.β
An agentic workflow: βMonitor all incoming leads. Score each lead based on page visits, form fields, and email engagement. Segment them automatically. If a high-score lead has not been contacted in 24 hours, alert the sales team AND send a personalised follow-up email. If they respond, update the CRM and move them to the next funnel stage. If they donβt respond in 72 hours, enter them into a 5-email nurture sequence. If they purchase, trigger the post-purchase workflow and remove from the nurture sequence.β
The difference in outcome is not incremental β it is categorical.
The Marketing Software Ecosystem
A modern digital marketing operation connects multiple software tools. Understanding how they interconnect is essential for managing technology vendors, evaluating tools, and briefing technical teams.
| Layer | Category | Example Tools | Purpose |
|---|---|---|---|
| Data Capture | Forms & CRM | Typeform, HubSpot, Salesforce | Capture and store customer data |
| Email & Automation | Email Platform | Klaviyo, Mailchimp, ActiveCampaign | Email + automation logic |
| Paid Media | Ad Platforms | Google Ads, Meta Ads, LinkedIn | Customer acquisition |
| Analytics | Tracking | Google Analytics 4, Mixpanel | Measure behaviour and outcomes |
| CMS / Website | Website Platform | WordPress, Shopify, Webflow | The digital home base |
| Social Media | Scheduling | Buffer, Hootsuite, Later | Content distribution |
| Customer Support | Helpdesk | Zendesk, Freshdesk, Intercom | Customer service + chat |
| Automation / Integration | Workflow Automation | Zapier, Make (Integromat), n8n | Connect systems together |
| AI Agents | AI Tools | ChatGPT, Claude, Perplexity | Intelligence layer across all tools |
The Role of APIs
An API (Application Programming Interface) is the mechanism that allows different software applications to communicate with each other. You donβt need to understand how to write API code. You do need to understand the concept:
An API is like a waiter in a restaurant. You (the manager) tell the waiter what you want. The waiter goes to the kitchen (the system) and brings back what you requested. You never need to see the kitchen or understand how it operates.
When tools like Zapier or Make say βconnect App A to App B,β they are using the APIs of both applications to enable this communication.
Common API-powered marketing workflows:
-
A lead fills out a TypeForm β Zapier automatically creates a contact in HubSpot CRM, adds them to a Mailchimp email list, and sends a Slack notification to the sales team
-
A customer makes a purchase on Shopify β Klaviyo immediately triggers the post-purchase email sequence AND GA4 registers a conversion event AND the customer is added to a custom Meta Ads audience for upsell targeting
-
A blog post is published in WordPress β Buffer automatically schedules it to LinkedIn, Facebook, and Twitter AND a summary is added to the next email newsletter
10.2 AI Ethics & Corporate Governance
As AI tools become central to marketing operations, marketing managers must understand the legal, ethical, and reputational boundaries of AI use. The companies that get this right will gain trust. The ones that get it wrong will face legal action, reputational damage, or both.
Copyright & Intellectual Property
The Core Issue: AI models are trained on vast datasets that include copyrighted text, images, music, and code. The legal landscape around this is evolving rapidly and varies by jurisdiction.
What you must understand as a marketing manager:
-
AI-generated text: Currently, in most jurisdictions, AI-generated content cannot be copyrighted by the user (because there is no human authorship). If you need copyright protection for your marketing assets, you must meaningfully edit and add human authorship to AI-generated work.
-
AI-generated images: Tools like Midjourney, DALL-E, and Stable Diffusion generate images that may incorporate elements from copyrighted training data. Using these images commercially carries legal risk, especially for character likenesses and highly stylistic outputs. Check each toolβs terms of service carefully.
-
Competitor content: Never instruct AI to βrewriteβ a competitorβs specific marketing copy. Even if the output is different, the intent and process may constitute infringement in some cases.
-
Attribution: If AI summarises or draws heavily from a specific source, cite that source. Academic institutions are increasingly penalising unattributed AI-assisted work.
Data Privacy Law
What data do marketing activities collect? Cookies (tracking behaviour), email addresses (direct opt-in), purchase history, location data, IP addresses, demographic inferences.
Key regulations every digital marketer must know:
| Regulation | Applies To | Key Requirements |
|---|---|---|
| GDPR (EU) | Any business with EU customers | Consent before tracking, right to erasure, data breach notification, Privacy Policy |
| CCPA (California, USA) | Businesses with California customers over $25M revenue OR 50K+ records | Right to opt-out of data sale, privacy disclosure |
| Nepalβs Personal Data Protection Bill | Businesses operating in Nepal | Currently in draft; mirror GDPR principles proactively |
| Email Marketing Laws (CAN-SPAM, CASL) | Email senders to US/Canadian addresses | Opt-in consent (CASL), clear unsubscribe, physical address in emails |
The three principles to operate safely:
- Collect only what you need β If you donβt need someoneβs phone number, donβt ask for it
- Get explicit consent β Double opt-in for emails; cookie consent banners for tracking
- Be transparent β Your Privacy Policy must accurately describe what you collect, why, and with whom you share it
Protecting Brand Authenticity in an AI-Dominated Landscape
As AI content floods the internet, authenticity becomes a premium asset. Brands that demonstrate genuine human expertise, real customer relationships, and unique points of view will differentiate sharply from brands that pump out undifferentiated AI content.
Practical brand authenticity principles:
- Always add a distinct human perspective or original insight to AI-generated content
- Use real customer stories, real data, and real experiences β not fabricated social proof
- Disclose AI use when it is material to your audienceβs trust (especially in educational or advisory contexts)
- Maintain a βbrand auditβ process: regularly review whether your content still sounds like a human being or has drifted into generic AI voice
10.3 Building Your Marketing Technology Stack
The goal of a technology stack is not to have the most tools β it is to have the right tools that serve your current scale, with a clear upgrade path as you grow.
The Starter Stack (NPR 0β5,000/month, < 500 customers)
| Tool | Cost | Purpose |
|---|---|---|
| WordPress.com / Netlify + free CMS | Free | Website |
| Google Analytics 4 | Free | Analytics |
| Mailchimp (free) | Free | Email up to 500 contacts |
| Canva (free) | Free | Visual content |
| Buffer (free) | Free | Social scheduling |
| Google Search Console | Free | SEO tracking |
| Zapier (free) | Free | Basic automation (5 workflows) |
| Total | NPR 0/month | Β |
The Growth Stack (NPR 15,000β50,000/month, 500β5,000 customers)
| Tool | Approx Cost | Purpose |
|---|---|---|
| Shopify / WordPress + WooCommerce | NPR 2,500β6,000 | E-commerce |
| Klaviyo | NPR 3,000β8,000 | Advanced email automation |
| Hotjar | NPR 2,000 | Session recording + heatmaps |
| Semrush / Ahrefs | NPR 7,000β12,000 | SEO research |
| Canva Pro | NPR 1,200 | Design collaboration |
| Buffer Essentials | NPR 1,200 | Social scheduling |
| Zapier Starter | NPR 2,500 | Workflow automation |
| Total | ~NPR 20,000β35,000/month | Β |
Hour 2: Digital Sandbox Lab (Individual Execution β 60 minutes)
The AI Prompting Framework: The Executive Pitch Refiner
This prompt helps you compress your entire 10-day strategy into a sharp, persuasive executive summary β the kind of presentation you would give to a CEO, investor, or board in 5 minutes.
The Full Prompt Template
You are a McKinsey Partner helping a junior consultant synthesise
10 days of marketing strategy work into a sharp executive presentation.
Here is my complete 10-day sandbox journey:
BUSINESS:
[Business name and the positioning statement from Day 1]
CUSTOMER PERSONA:
[Key persona details from Day 1 β name, pain points, key insight]
OFFER ARCHITECTURE (Day 2):
[Summary of your 3-tier pricing and key value propositions]
CONTENT STRATEGY (Day 3):
[Your brand voice and top 2 copy hooks from your library]
SEO PLAN (Day 4):
[Your primary cluster topic, priority page, and 90-day target]
SOCIAL MEDIA SYSTEM (Day 5):
[Your 4 content pillars and the Canva Bulk Create workflow output]
ANALYTICS FRAMEWORK (Day 6):
[Your 3 key KPIs and the biggest funnel insight from your audit]
EMAIL SYSTEM (Day 7):
[Your lead magnet, welcome sequence summary, and 1 key automation]
BUDGET PLAN (Day 8):
[Your chosen scenario, monthly budget, CAC target, and LTV:CAC projection]
META ADS STRATEGY (Day 9):
[Your campaign structure, 3 ad sets, and top 3 creative matrix entries]
TASK 1: EXECUTIVE SUMMARY
Write a 4-paragraph executive summary of this complete strategy:
- Paragraph 1: The business opportunity (customer problem + market gap)
- Paragraph 2: The complete marketing system (how all 10 elements work together)
- Paragraph 3: The financial projection (budget, CAC target, revenue projection, LTV:CAC ratio)
- Paragraph 4: The 90-day roadmap (Month 1 focus / Month 2 focus / Month 3 scale trigger)
TASK 2: PRESENTATION OUTLINE (5 slides)
Create a 5-slide deck outline for a 5-minute verbal presentation:
- Slide 1: The Opportunity
- Slide 2: The Customer (persona highlight + key insight)
- Slide 3: The Marketing System (visual overview of all channels)
- Slide 4: The Financial Model (LTV:CAC, CAC target, 90-day revenue projection)
- Slide 5: The Ask / Next Steps
For each slide: provide the title, 3 bullet points, and a speaker note
(what to say verbally in 60 seconds).
TASK 3: STRESS TEST
Identify the 3 biggest risks in this strategy and propose a specific
mitigation for each. Be direct β do not soften the critique.
Step-by-Step Lab Instructions
βοΈ Setup (5 minutes)
- Gather all your previous work documents (Days 1β9) β youβll need to pull content from each
- Open your AI tool in a new conversation
- Create a new Google Presentation (Slides):
[Business Name] β Executive Sandbox Pitch
ποΈ Part 1: Compile Your Strategy Summary (15 minutes) Go through each Dayβs document and extract the most important output:
- Day 1: Brand positioning statement + customer persona name + top insight
- Day 2: 3-tier pricing summary + strongest value proposition
- Day 3: Brand voice summary + top 2 hooks
- Day 4: Primary SEO cluster topic + priority page URL
- Day 5: 4 pillar names + content calendar summary
- Day 6: 3 KPIs + biggest bottleneck from the analytics audit
- Day 7: Lead magnet name + welcome sequence subject line for Email 1
- Day 8: Monthly budget + chosen scenario + LTV:CAC projection
- Day 9: Campaign objective + 3 ad set types + strongest creative variation
π€ Part 2: Run the Executive Pitch Refiner (20 minutes)
- Fill in the prompt with your compiled strategy
- Run the full prompt β read the executive summary carefully
- Does it accurately represent your strategy? Refine any inaccurate summaries
- Copy the 5-slide outline into your Google Slides presentation
π€ Part 3: Prepare & Deliver Your 5-Minute Pitch (20 minutes)
- Fill in your 5 slides with content from the AI output
- Practice delivering each slide in approximately 1 minute
- Prepare for 2β3 questions: βWhy this budget allocation?β, βWhat is your biggest risk?β, βHow does this scale?β
Templates & Worksheets
Template 1: Workflow Automation Map
MARKETING AUTOMATION MAP
ββββββββββββββββββββββββββββββββββββββββββ
WORKFLOW 1: LEAD CAPTURE β CRM β EMAIL NURTURE
[TRIGGER] Form submission on website
β
[APP 1 β Form Tool: Typeform / Google Forms]
Capture: Name, Email, [custom field]
β
[APP 2 β Zapier: Automation Step]
Action: Create/update contact in [CRM]
Action: Add to email list segment [segment name]
Action: Send Slack notification to [channel]
β
[APP 3 β Email Platform: Mailchimp / Klaviyo]
Trigger: Welcome sequence (Day 7 content)
TOOLS USED: ____________________________
API connection method: _________________
ββββββββββββββββββββββββββββββββββββββββββ
WORKFLOW 2: SOCIAL POST β MULTI-CHANNEL DISTRIBUTION
[TRIGGER] New blog post published in [CMS]
β
[APP 1 β Zapier]
Action: Pull title and excerpt from new post
β
[APP 2 β Buffer]
Action: Schedule post to Instagram (today)
Action: Schedule post to LinkedIn (today + 1 day)
Action: Schedule post to Facebook (today + 2 days)
β
[APP 3 β Mailchimp / Klaviyo]
Action: Add to next weekly newsletter digest
TOOLS USED: ____________________________
Time saved per post: _____ minutes
ββββββββββββββββββββββββββββββββββββββββββ
DESIGN YOUR OWN WORKFLOW:
Workflow Name: __________________________
[TRIGGER]: _____________________________
β
[APP 1]: ________________________________
Action: _________________________________
β
[APP 2]: ________________________________
Action: _________________________________
β
[OUTPUT / RESULT]: ______________________
Estimated time saved per week: __________
ββββββββββββββββββββββββββββββββββββββββββ
Template 2: 10-Day Strategy Master Summary
Complete this BEFORE running the Executive Pitch Refiner prompt.
10-DAY AI STRATEGY SANDBOX β MASTER SUMMARY
ββββββββββββββββββββββββββββββββββββββββββ
Student: _______________________________
Business: ______________________________
Date: __________________________________
DAY 1 β Brand Foundation
Positioning Statement:
"For __________ who __________,
[Brand] is the only __________ that __________."
Customer Name: _________________________
Top Insight: ___________________________
DAY 2 β Offer Architecture
Tier 1 (Basic): __________ β NPR _______
Tier 2 (Target): __________ β NPR ______
Tier 3 (Premium): __________ β NPR _____
Top Value Proposition: _________________
DAY 3 β Content & Copywriting
Brand Voice (3 words): _________________
Top Hook: ______________________________
Hook Type: _____________________________
DAY 4 β SEO
Primary Cluster Topic: __________________
Priority Page Title: ____________________
90-Day Target: _________ organic visitors
DAY 5 β Social Media
4 Pillars: _____________________________
Posting Frequency: _____________________
Assets Generated in Lab: _____ visuals
DAY 6 β Analytics
Top 3 KPIs:
1. ___________________________________
2. ___________________________________
3. ___________________________________
Biggest Funnel Bottleneck: ______________
DAY 7 β Email Marketing
Lead Magnet: ___________________________
Welcome Sequence: _____ emails over ____ days
Email 1 Subject Line: ___________________
DAY 8 β Ad Budget
Monthly Budget: NPR ____________________
Chosen Scenario: _______________________
CAC Target: NPR ________________________
LTV:CAC Projection: _____ : 1
DAY 9 β Meta Ads
Campaign Objective: ____________________
Ad Sets: Cold / Warm / Hot audiences
Strongest Ad (from Creative Matrix): ____
DAY 10 β Automation
Top automation workflow designed: _______
Tech stack cost (monthly): NPR _________
FINANCIAL SUMMARY
LTV: NPR ______________________________
Max viable CAC: NPR ____________________
Month 3 Revenue Projection: NPR ________
ββββββββββββββββββββββββββββββββββββββββββ
Template 3: Executive Pitch Slide Outline
EXECUTIVE SANDBOX PITCH β 5 SLIDES
ββββββββββββββββββββββββββββββββββββββββββ
SLIDE 1: THE OPPORTUNITY (60 seconds)
Title: ________________________________
Bullet 1: ______________________________
Bullet 2: ______________________________
Bullet 3: ______________________________
Spoken note: ___________________________
SLIDE 2: THE CUSTOMER (60 seconds)
Title: ________________________________
Persona name: _________________________
Top pain point: ________________________
The insight: ___________________________
Spoken note: ___________________________
SLIDE 3: THE MARKETING SYSTEM (90 seconds)
Title: ________________________________
Channel 1: ____________________________
Channel 2: ____________________________
Channel 3: ____________________________
How they connect: ______________________
Spoken note: ___________________________
SLIDE 4: THE FINANCIAL MODEL (60 seconds)
Title: ________________________________
LTV: NPR ______________________________
CAC Target: NPR ________________________
90-Day Revenue Projection: NPR __________
LTV:CAC: ______________________________
Spoken note: ___________________________
SLIDE 5: THE ASK / NEXT STEPS (30 seconds)
Title: ________________________________
Month 1 Action: ________________________
Month 2 Action: ________________________
Month 3 Scale Trigger: _________________
The Ask: _______________________________
Spoken note: ___________________________
ββββββββββββββββββββββββββββββββββββββββββ
AI Ethics Quick Reference Card
Print and keep this as a working reference for all future AI-assisted marketing work.
AI ETHICS QUICK REFERENCE
ββββββββββββββββββββββββββββββββββββββββββ
COPYRIGHT RULES
β
DO: Edit AI text meaningfully before publishing
β
DO: Use AI images for concepts, not final commercial assets
β
DO: Add human expertise and original insights
β
DO: Cite sources when AI has drawn from identifiable content
β DON'T: Publish AI text verbatim with no human editing
β DON'T: Use AI to reproduce competitor's specific copy
β DON'T: Claim AI-generated content as fully original human work
β DON'T: Use AI character likenesses without proper rights
DATA PRIVACY RULES
β
DO: Get explicit consent before collecting any personal data
β
DO: State clearly what you collect and why in your Privacy Policy
β
DO: Provide easy unsubscribe options in all emails
β
DO: Delete data you no longer need
β DON'T: Buy email lists or third-party data without clear provenance
β DON'T: Share customer data with third parties without consent
β DON'T: Use dark patterns to trick users into opt-ins
β DON'T: Ignore user opt-out requests
BRAND AUTHENTICITY RULES
β
DO: Add your unique perspective and experience to AI content
β
DO: Use real customer stories and real data
β
DO: Disclose AI use when your audience's trust requires it
β DON'T: Fabricate testimonials, reviews, or social proof
β DON'T: Let your content drift to generic AI voice
β DON'T: Make claims you cannot substantiate
ββββββββββββββββββββββββββββββββββββββββββ
Resources & Further Reading
π οΈ Tools Required Today
| Tool | Purpose | Cost |
|---|---|---|
| Zapier | Workflow automation | Free (5 workflows) |
| Make (Integromat) | Advanced automation | Free (1,000 ops/month) |
| n8n | Open-source automation | Free (self-hosted) |
| Google Slides | Executive pitch presentation | Free |
| ChatGPT / Claude | Executive Pitch Refiner | Free |
π Reference Reading
- Neil Gaiman speech on AI and copyright β Search βNeil Gaiman AIβ for his perspective on creative IP in the AI era
- EU AI Act β artificialintelligenceact.eu β The emerging global standard for AI governance
- Nik Sharma β The DTC Newsletter β Practical case studies on marketing automation for direct-to-consumer brands
- Zapier Blog β zapier.com/blog β Practical automation workflow ideas for marketing teams
Key Takeaways
- Automation Compounds β Every hour you invest in setting up a workflow saves time every week for years. The best automation is the one you build today.
- AI is a Tool, Not a Strategy β AI executes tactics. Strategy requires human judgment, market understanding, and genuine customer empathy.
- Ethics is Risk Management β Copyright violations, data privacy breaches, and authenticity failures are not hypothetical risks β they are headline-generating incidents that have destroyed brands.
- The Whole is Greater Than the Sum β 10 isolated tactics produce mediocre results. A connected system (website β SEO β email β social β ads) compounds into market leadership.
- You Now Have a Marketing System β Over 10 days, you have built something that most businesses donβt have: a complete, integrated, data-driven marketing strategy designed for AI-amplified execution.
| *Previous: Day 9 β Meta Ads Manager & Creative Control β | β Return to Syllabus Hub* |


