Your Automation Strategy
Build your 90-day automation action plan — maturity assessment, tool selection, first workflow, and the career skills that matter as AI automation reshapes business.
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Bringing It All Together
🔄 Lesson 7 covered the governance practices that keep 25+ automations running smoothly. Now it’s time to synthesize everything from this course into a strategy you can start executing today.
This lesson doesn’t introduce new concepts. Instead, it gives you the frameworks to assess where you are, plan where you’re going, and take the first step this week.
Course Review
| Lesson | Core Insight | Key Framework |
|---|---|---|
| 1. Welcome | 95% of AI pilots fail — strategy matters more than technology | Problem-first, not tool-first |
| 2. Landscape | Three layers: RPA, workflow automation, AI — use them together | Match layer to task |
| 3. Opportunities | Score and prioritize automation candidates before building | AP × BI × IE scoring |
| 4. No-Code Tools | Zapier (simple), Make (complex), n8n (AI-heavy) | Decision framework |
| 5. AI Agents | Custom GPTs are the training wheels for AI agents | Human-in/on-the-loop |
| 6. Building | Error handling and data mapping separate reliable from fragile | Trigger → Logic → Output → Confirm |
| 7. Scaling | Silent failures are the real danger — monitor outputs, not just execution | Automation registry + quarterly review |
✅ Quick Check: Which lesson taught you something you didn’t already know? That’s probably the area where your organization has the biggest improvement opportunity.
The Automation Maturity Model
Assess where your organization sits today:
| Stage | What It Looks Like | Next Step |
|---|---|---|
| 0. Manual | All processes run by humans, no automation | Identify one high-value candidate (Lesson 3) |
| 1. Ad Hoc | 1-3 automations built by individuals, no coordination | Document and organize existing automations |
| 2. Structured | 5-15 automations with naming conventions and ownership | Add monitoring and governance (Lesson 7) |
| 3. AI-Enhanced | Structured automations + AI agents for judgment tasks | Build AI guardrails and review processes |
| 4. Orchestrated | 20+ automations coordinated as a portfolio, monitored continuously | Optimize, consolidate, and measure business impact |
Most businesses reading this course are at Stage 0 or 1. And that’s fine — Stage 2 delivers massive value without requiring AI. AI is Stage 3.
Your 90-Day Action Plan
Week 1: Audit
- List every repetitive task your team does weekly
- Score each using the AP × BI × IE framework from Lesson 3
- Calculate ROI for your top 3 candidates
Weeks 2-3: First Workflow
- Pick your highest-scoring candidate
- Choose your platform (use the decision framework from Lesson 4)
- Build, test, and deploy your first automation
- Run alongside the manual process for one week
Weeks 4-8: Expand
- Build automations #2 and #3
- Start the automation registry (name, owner, purpose, systems, data)
- Establish naming conventions
- Set up error notifications for all workflows
Weeks 9-12: Evaluate and Plan
- Measure actual ROI vs projected ROI for each automation
- Identify your first AI candidate (if applicable)
- Run the quarterly review from Lesson 7
- Plan the next quarter’s automation targets
Tool Selection Cheat Sheet
| Your Situation | Start Here | Monthly Cost |
|---|---|---|
| Solo/small team, simple workflows | Zapier Starter | $20-30 |
| Growing team, moderate complexity | Make Pro | $10-20 |
| Technical team, AI-heavy needs | n8n Cloud or self-hosted | $0-24 |
| Microsoft-heavy organization | Power Automate | Included with M365 |
| Google-heavy organization | Apps Script + Zapier | $0-20 |
Common First-Week Mistakes
| Mistake | Why It Happens | Fix |
|---|---|---|
| Starting with the most complex process | Ambition exceeds experience | Start with the simplest high-ROI candidate |
| Skipping error handling | “I’ll add it later” | Add error notifications before going live |
| Not documenting | “I’ll remember how it works” | Document as you build, not after |
| Automating a broken process | Making a bad process faster | Fix the process first, then automate |
| Going fully autonomous on day 1 | Trusting AI too quickly | Start human-in-the-loop, graduate to autonomous |
Career Skills for the Automation Era
The automation lead role is emerging across industries. Here’s what it requires:
Core skills:
- Business process analysis — seeing what to automate
- No-code tool proficiency — building the automation yourself
- Change management — getting teams to adopt new workflows
- ROI calculation — proving the business case with numbers
Growth skills:
- AI agent design — building Custom GPTs and agentic workflows
- Data architecture — understanding how data flows between systems
- Governance design — building the registry, review, and compliance structures
The career insight: 92% of companies plan to increase AI investment by 2028 (McKinsey). The people who can translate that investment into working automations — not AI engineers, but business-savvy automation builders — are the most in-demand talent in this space.
Key Takeaways
- Most businesses are at Stage 0-1 on the maturity model — Stage 2 (structured automation) delivers massive value without requiring AI
- Follow the 90-day plan: audit (week 1), first workflow (weeks 2-3), expand (weeks 4-8), evaluate (weeks 9-12)
- Start with the simplest high-ROI candidate, not the most interesting one — early wins build momentum
- Document everything as you build, add error handling before going live, and start human-in-the-loop
- The automation lead career combines business process analysis + no-code tool skills + change management — more valuable than pure technical skills
- 92% of companies are increasing AI investment — the opportunity for automation-savvy professionals is enormous and growing