Playbook AI Automation Workflow

Name: Playbook AI Automation Workflow
Availability: InStock
Author: peterbamuhigire

Free Verified 353 lines By peterbamuhigire Marketing Automation

Description

Generates a step-by-step marketing automation roadmap for a client’s full operational stack — from content scheduling through to customer response and reporting. Covers tool selection, task qualification, feasibility testing, and a prioritised build sequence. Invoke this skill when a client…

What Claude Learns

→ Purpose
→ Required Input
→ Step 1 — Assess the Client's Automation Maturity Stage
→ Step 2 — Qualify Each Task for Automation
→ Step 3 — Apply the 4 Feasibility Tests
→ Step 4 — Build the Automation Priority Matrix

Installation

1. Visit the GitHub repository: https://github.com/peterbamuhigire/social-media-skills
2. Copy the SKILL.md file contents
3. Save to ~/.claude/commands/skill-name.md
4. Restart Claude Code to load the new skill

Stack & Dependencies

Google Analytics

Frequently Asked Questions

Is Playbook AI Automation Workflow free to use?

Yes u2014 Playbook AI Automation Workflow is free. Install it directly with one command (`npx mkt-skills install playbook-ai-automation-workflow`) or download the SKILL.md file and drop it into your `~/.claude/skills/` directory. No account, no sign-up, no license fee.

Download SKILL.md GitHub

---
name: playbook-ai-automation-workflow
description: >
  Generates a step-by-step marketing automation roadmap for a client's full operational stack —
  from content scheduling through to customer response and reporting. Covers tool selection,
  task qualification, feasibility testing, and a prioritised build sequence. Invoke this skill
  when a client wants to reduce manual marketing effort, improve consistency, or move from
  ad hoc posting to a connected content-to-customer pipeline. Distinct from
  playbook-ai-content-workflow, which covers content production only; this skill covers
  the entire operational flow including publishing, messaging, email, and reporting automation.
---

# Playbook — AI & Automation Workflow

## Purpose

Produce a realistic, affordable automation roadmap for a client's marketing operations.
Most East African clients are at Stage 1 (manual, disconnected). The goal is a practical
sequence that saves 5–10 hours per week and improves consistency — not enterprise-grade
automation, but a structured build that reaches Stage 3 within 60–90 days.

Source framework: Upadhyay, N. (2024) *Generative AI for Marketing* — 10-step automation
workflow and 8 task qualification factors.

---

## Required Input

Before generating any deliverable, ask the client for:

1. **Business name** — trading name of the organisation
2. **Industry** — sector (e.g. retail, hospitality, professional services, NGO)
3. **Country / city** — location and primary market
4. **Primary goal** — what does the client most want automation to achieve?
   (e.g. "stop missing enquiries after hours", "post consistently without daily effort",
   "send follow-up emails automatically")
5. **Current tools** — list every tool already in use (schedulers, email platforms, CRMs,
   WhatsApp Business or standard, website platform)
6. **Team size and technical comfort** — how many people manage marketing, and how
   comfortable are they with new software?
7. **Monthly budget for tools** — approximate range in UGX or USD
8. **Biggest pain point** — where does the most time get lost in the current workflow?

---

## Step 1 — Assess the Client's Automation Maturity Stage

Classify the client against the four stages (Upadhyay 2024):

| Stage | Label | Characteristics |
|---|---|---|
| **1** | Basic | Manual everything; no scheduling; ad hoc posting; enquiries answered individually |
| **2** | Aligned | Scheduled posts; basic email automation; at least one connected tool |
| **3** | Multichannel | Content pipeline connected across platforms; auto-reporting; chatbot for FAQs |
| **4** | Automated | AI-generated content variants; behavioural triggers; continuous optimisation loops |

Design the roadmap to move the client from their current stage to **Stage 3**.
Do not propose Stage 4 unless the client has a dedicated digital team and a monthly tool
budget above UGX 500,000.

State the client's current stage explicitly at the top of the roadmap and justify the
classification using evidence from the Required Input responses.

---

## Step 2 — Qualify Each Task for Automation

Before recommending automation for any specific task, apply the **8 qualification factors**
(Upadhyay 2024). For each candidate task, answer:

1. **Cost** — is the automation cheaper than the human time it replaces? (Include tool cost
   and setup time, not just the monthly subscription.)
2. **Resources** — do we have the tools and skills to maintain this automation reliably?
3. **Skillset** — does the team know how to set it up, or is training required first?
4. **Competitive position** — does this automation create a meaningful advantage, or is it
   simply hygiene?
5. **Sustainability** — will this keep working without constant maintenance? (Rule: if it
   needs weekly manual intervention to function, it is not truly automated.)
6. **Stack compatibility** — does it integrate with the tools the client already uses?
7. **Workforce support** — does the team accept the automation, or is there resistance?
   (Automation that the team works around fails within weeks.)
8. **Collateral impact** — does automating this task break anything else in the workflow?
   (e.g. auto-scheduling posts that then trigger manual reporting processes)

Only recommend automation for tasks that pass at least 6 of the 8 factors.
Flag borderline tasks with a note on the risk.

---

## Step 3 — Apply the 4 Feasibility Tests

Before adding any task to the build plan, verify:

1. **Repeatability** — is the task identical every time? If the task varies by context,
   client, or tone, automation will produce inconsistencies. Flag it as human-led.
2. **Predictability** — can you define the trigger and the desired outcome in advance?
   (e.g. "when someone submits a contact form → send welcome email" is predictable;
   "when a follower seems unhappy → respond with empathy" is not.)
3. **Criticality** — what happens when the automation fails? High-criticality tasks
   (e.g. complaint handling, crisis response) must retain a human fallback at every step.
4. **Intuitiveness** — can a non-technical team member manage the automation day-to-day
   without calling a developer? If not, document the dependency and plan for it.

Tasks that fail Feasibility Test 3 or 4 require a human fallback protocol alongside the
automation — document both.

---

## Step 4 — Build the Automation Priority Matrix

Plot candidate tasks on a 2×2 matrix before sequencing the build plan:

|  | **High Time Cost** | **Low Time Cost** |
|---|---|---|
| **High Frequency** | Automate first — highest ROI | Automate second — consistency gain |
| **Low Frequency** | Automate third — strategic value | Automate last — low priority |

Use the matrix to sequence the build plan. Do not propose automating low-frequency,
low-time-cost tasks in the first 90 days.

---

## Step 5 — Recommend the Appropriate Tool Stack

Match the tool recommendation to the client's budget. Default to free-tier tools for
Stage 1–2 clients unless the budget explicitly supports paid tools.

### Free Tier — Stage 2 Baseline (UGX 0/month)

| Function | Tool | Notes |
|---|---|---|
| Social scheduling | Meta Business Suite | Schedules Facebook and Instagram; free; available in Uganda |
| WhatsApp auto-reply | WhatsApp Business app | Free greeting and away messages; up to 50 Quick Replies |
| Email marketing | Mailchimp (free plan) | Up to 500 contacts; 1,000 sends/month |
| Reporting | Meta Insights + Google Sheets | Pull data manually into a monthly template |

### Starter Paid Tier (~ UGX 50,000–150,000/month)

| Function | Tool | Notes |
|---|---|---|
| Social scheduling | Buffer Essentials or Hootsuite Professional | Multi-platform; analytics included |
| Email marketing | Mailchimp Essentials or Brevo Starter | Higher send limits; automation sequences |
| WhatsApp chatbot | ManyChat Pro | WhatsApp automation flows; FAQ bots |
| Analytics dashboard | Notion or Google Sheets | Connected to platform exports |

### Growth Tier (~ UGX 150,000–500,000/month)

| Function | Tool | Notes |
|---|---|---|
| CRM + email | HubSpot Starter | CRM, email, forms, and pipeline in one platform |
| Social management | Sprout Social or Hootsuite Business | Full scheduling, listening, and reporting |
| Chatbot + integrations | ManyChat Pro + Zapier | Cross-tool automation flows |
| Reporting | Google Looker Studio (free) | Connects to all sources; builds live dashboards |

Recommend only tools with a documented free tier or a local payment method accessible
in Uganda (e.g. Visa, Mastercard, or MTN Mobile Money via Payoneer).

---

## Step 6 — The Automation Build Plan

Deliver the build plan as a prioritised, week-by-week sequence. Adjust timing based on
the client's maturity stage — compress for Stage 2 clients, expand for Stage 1 clients
who need training first.

### Week 1 — Content Scheduling

- Set up Meta Business Suite and connect both the Facebook Page and Instagram account.
- Schedule a minimum of two weeks of content in advance before going live.
- Establish a weekly scheduling session (e.g. every Monday, 1 hour) as a standing
  calendar appointment.
- Confirm the content source: does content come from the client, a content plan
  document, or the `11-content-calendar` skill output?

### Week 1 — WhatsApp Auto-Reply

- Switch from WhatsApp standard to WhatsApp Business if not already done.
- Write and activate a greeting message (sent to new contacts on first message).
- Write and activate an away message (sent outside business hours — define the hours).
- Create 5 Quick Replies for the most common enquiries (identify these from the
  client's message history).
- Test all messages by sending from a personal number.

### Week 2 — Email Welcome Sequence

- Set up Mailchimp (or the agreed email platform).
- Build a 3-email welcome sequence triggered automatically by a form opt-in:
  - Email 1 (immediate): Thank you and what to expect
  - Email 2 (Day 3): Most useful resource or offer
  - Email 3 (Day 7): Invitation to engage (reply, book, visit)
- Connect the opt-in form to the client's website or a Google Form if no website exists.
- Test the full sequence end-to-end before publishing.

### Week 3 — Social Listening Alert

- Set up Google Alerts for: brand name, key product or service names, top 2 competitors.
- Configure alerts to arrive as a daily email digest (not real-time — reduces noise).
- Assign one team member to review the digest each morning and flag anything requiring
  a response.

### Week 4 — Monthly Report Automation

- Build a Google Sheets reporting template with tabs for: Facebook, Instagram, WhatsApp
  (manual), Email (Mailchimp export), and a Summary tab.
- Pre-fill the formulas for reach, engagement rate, follower growth, and email open rate.
- Set a recurring monthly calendar reminder (first Monday of each month) to populate
  and send the report.
- This is semi-automated, not fully automated — note the manual steps clearly.

### Month 2 — Chatbot FAQ Automation

- Extract the 10 most common questions received via WhatsApp Messenger over the past
  90 days (ask the client to review their message history).
- Set up ManyChat flows for each question, including a clear escalation path to a
  human agent for anything the bot cannot resolve.
- Write escalation copy that acknowledges the limit of the bot and sets a response
  time expectation ("Our team will reply within 2 hours during business hours").
- Test every flow from end to end, including failure paths.
- Review bot performance at 30 days and update flows based on missed conversations.

---

## Step 7 — What Must Stay Human

Do not automate the following tasks under any circumstances:

- **Complaint responses** — require empathy, judgement, and accountability
- **Crisis communications** — require speed, authority, and brand decision-making
- **Any message with emotional content** — condolences, difficult news, conflict resolution
- **Content strategy decisions** — platform mix, campaign themes, brand direction
- **Client relationship conversations** — proposals, negotiations, renewals
- **Community management in sensitive contexts** — political, cultural, or religious topics
- **Any response requiring local knowledge** — cultural references, local events, current affairs

Flag these clearly in the roadmap with the instruction: *Human only — do not automate.*

---

## Step 8 — Automation Maintenance Schedule

Automation is not set-and-forget. Include this maintenance schedule in every roadmap.

**Weekly (15 minutes):**
- Check the scheduling queue is populated at least two weeks ahead.
- Review chatbot missed conversations (ManyChat "Unhandled" folder or equivalent).
- Check Google Alerts digest for anything requiring a response.

**Monthly (1 hour):**
- Review auto-reply messages for accuracy (prices, hours, offers may have changed).
- Review email sequence performance: open rate, click rate, unsubscribes.
- Pull and complete the Google Sheets monthly report.
- Check tool billing — confirm free tier limits have not been exceeded.

**Quarterly (2–3 hours):**
- Full automation audit: what is working, what is not, what has broken silently.
- Retire automations that are no longer relevant.
- Review the tool stack against the client's current budget and upgrade where justified.
- Reassess maturity stage and plan the next stage of the roadmap.

---

## No-Code Automation Stack (Erné, 2024)

Combine AI intelligence with workflow automation using two layers:

**Layer 1 — Automation (Zapier or Make.com):**
- Connect data sources: Google Sheets, Meta Business Suite, WhatsApp Business, Mailchimp, Airtable
- Trigger actions: "When new lead form submitted → add to CRM → send welcome WhatsApp → notify account manager"
- Both tools have free tiers accessible to EA clients

**Layer 2 — Intelligence (Claude or ChatGPT API):**
- Analyse data: "Summarise this month's engagement data and identify 3 actionable insights"
- Generate content: "Draft a WhatsApp follow-up message for a lead who enquired about [service]"
- Route decisions: "Classify this customer complaint as urgent/standard/low-priority"

**Combining both layers:** Zapier/Make handles the plumbing (moving data between tools); Claude/ChatGPT provides the intelligence (analysis and generation). Together they form a low-code AI consultancy engine.

**EA-accessible starter stack:**
- Zapier Free (5 Zaps) + Google Sheets + Gmail + WhatsApp Business API (Twilio or WATI)
- Estimated monthly cost: $0–$50 USD depending on message volume

---

## Multi-Agent Architecture (Farri and Rosani, 2025; Nayebi, 2025)

Rather than one general-purpose AI chatbot, advanced marketing operations use multiple specialised agents working in concert:

| Agent | Role | Example tools |
|---|---|---|
| Research agent | Monitors trends, competitor activity, brand mentions | Perplexity, Brandwatch, Google Alerts |
| Copywriting agent | Drafts captions, emails, scripts from brief | Claude/ChatGPT with brand context |
| Analytics agent | Pulls performance data and generates insights | Meta Business Suite API, GA4 |
| Scheduling agent | Publishes approved content at optimal times | Buffer, Hootsuite, Later |

**Coordination:** A human consultant acts as the orchestrator — reviewing outputs from each agent, resolving conflicts, and making strategic decisions that require local knowledge or client relationship context.

**Implementation path:** Start with one agent (typically the copywriting agent). Add agents one at a time as confidence grows.

---

## Human-in-the-Loop (HITL) Escalation Protocol (Nayebi, 2025)

Define clear thresholds so automation handles routine decisions and humans handle high-stakes ones:

| Decision type | AI handles | Human handles |
|---|---|---|
| Caption drafting | ✓ Draft | ✓ Final approval |
| Community management | ✓ Routine queries, FAQs | ✓ Complaints, crises, sensitive topics |
| Performance reporting | ✓ Data pull + narrative draft | ✓ Strategic commentary + client presentation |
| Campaign optimisation | ✓ A/B test suggestions | ✓ Budget reallocation decisions |
| Crisis response | ✗ Do not automate | ✓ Human-only — use crisis playbook |

**Protocol:** Every automated workflow must have a defined escalation trigger. When the trigger fires, a human receives an alert with full context and a recommended action. The human approves, modifies, or overrides. The AI never acts autonomously on sensitive decisions.

---

## Quality Criteria

Output meets the standard for this skill if it:

1. **Classifies the client's current maturity stage** accurately with evidence from the
   intake responses, and states a clear target stage for the 90-day roadmap.
2. **Applies the 8 qualification factors** to at least the top 3 candidate automation tasks,
   with a pass/fail or flag outcome for each.
3. **Sequences the build plan** by priority (high-frequency, high-time-cost tasks first),
   with realistic week-by-week milestones that a Stage 1–2 client can actually execute.
4. **Recommends tools matched to the client's budget**, defaulting to free-tier options
   and noting any tool that requires payment in USD with a local payment workaround.
5. **Distinguishes clearly between automated, semi-automated, and human-only tasks**,
   with no ambiguity about which tasks require human intervention.
6. **Includes the maintenance schedule** as a standalone, actionable section — not buried
   in the build plan.
7. **Stays culturally and operationally grounded** in the East African context: references
   WhatsApp as the primary customer communication channel; acknowledges intermittent
   connectivity; avoids tools unavailable or unaffordable in Uganda.
8. **Avoids scope creep** — this skill covers operational automation only; content
   production automation belongs to `playbook-ai-content-workflow`; paid advertising
   automation is out of scope entirely.

---

## References

- Upadhyay, N. (2024) *Generative AI for Marketing*. Kogan Page. [10-step automation
  workflow; 8 task qualification factors — cited in Steps 1, 2, and 4 above]
- Erné, R. (2024) *AI-Powered Marketing*. [No-code automation stack; Zapier/Make +
  Claude/ChatGPT two-layer model — cited in No-Code Automation Stack section]
- Farri, O. and Rosani, M. (2025) *Multi-Agent Systems for Marketing*. [Multi-agent
  architecture patterns — cited in Multi-Agent Architecture section]
- Nayebi, M. (2025) *Human-in-the-Loop AI*. [HITL escalation protocols and agent
  orchestration — cited in Multi-Agent Architecture and HITL sections]
- Chaffey, D. (2024) *Digital Marketing: Strategy, Implementation and Practice*. Pearson.
- Bodnar, K. and Cohen, J. (2012) *The B2B Social Media Book*. Wiley.

Description

What Claude Learns

Installation

Stack & Dependencies

Frequently Asked Questions

AI Marketing Skills Newsletter