AI-Ready CMO

AI Marketing Playbook Template

A structured, ready-to-present playbook for CMOs to identify high-friction workflows, implement AI strategically, and prove ROI fast. Use this template to audit your marketing operations, select the right AI lever, build a lightweight governance model, and create a 90-day roadmap that connects outputs to business outcomes—not just faster assets.

How to Use This Template

  1. 1.## Step 1: Audit Your Workflows & Pick One High-Friction Lever
  2. 2.**Start by mapping the workflow you'll target.** Don't try to automate everything—pick one workflow where time is visibly leaking and revenue is at stake. Use the Workflow Audit table to list every step, owner, time spent, and bottleneck. Be honest about where approvals pile up, where handoffs break, or where rework happens. This audit forces you to see operational debt clearly. Once you've mapped it, calculate the total cycle time and cost. This becomes your baseline for ROI. **The goal:** One clear, measurable workflow that affects a team of 4–10 people and takes 5+ hours per cycle.
  3. 3.## Step 2: Design the AI Intervention (Not Just a Tool)
  4. 4.**Don't start with "Which AI tool should we buy?"—start with "How does AI rewire this workflow?"** In Part 2, describe exactly how the AI fits into each step. Will it generate drafts? Route approvals? Flag risks? Be specific about inputs, outputs, and the human decision points that remain. Include the tools and stack (e.g., GPT-4 + Zapier + custom guardrails), but frame them as enablers, not the solution. **The key:** Show how AI removes a bottleneck, not just adds speed. Connect the output to a business outcome (e.g., "faster drafts → faster campaigns → more pipeline opportunities").
  5. 5.## Step 3: Build Lightweight Governance Before Pilot
  6. 6.**Governance doesn't mean bureaucracy—it means clear rules that prevent risk without killing speed.** In Part 3, write down your data policies (no PII in prompts), brand rules (voice checklist before review), and compliance gates (legal sign-off for claims). Assign one DRI for day-to-day management and one escalation path for brand/compliance decisions. Publish an approved tools list to prevent shadow AI. **This step prevents quiet AI sprawl and keeps legal/compliance aligned.** Don't wait for a compliance review to slow you down—get sign-off upfront, then move fast within guardrails.
  7. 7.## Step 4: Build a 90-Day Roadmap with Clear Milestones
  8. 8.**Break implementation into three phases: Setup (weeks 1–2), Pilot (weeks 3–6), Rollout (weeks 7–12).** For each phase, list specific milestones, owners, deadlines, and success criteria. Use the roadmap table to make it visual and trackable. Assign a DRI to each milestone so accountability is clear. **The goal:** Show leadership a realistic, phased path to ROI—not a vague "we'll implement AI" statement. Each milestone should be measurable (e.g., "20 AI-assisted drafts completed" or "0 compliance issues").
  9. 9.## Step 5: Quantify ROI in Business Terms, Not Just Speed
  10. 10.**"Faster" doesn't convince a CFO—revenue does.** In Part 5, measure baseline metrics (cycle time, approval loops, assets per FTE) and target metrics after 90 days. Calculate the financial ROI: cost of tools + setup time vs. value created (time saved + productivity gains + additional campaigns). **Connect time savings to business impact:** If you save 12 hours/week, that's 2 additional campaigns per quarter. If each campaign generates $X in pipeline, you've created $Y in value. Show payback period and annualized impact. This is what gets budget approved and expansion greenlit.
  11. 11.## Step 6: Plan for Scale & System-Level Wins
  12. 12.**Don't treat this as a one-off pilot.** In Part 6, identify 2–3 workflows to tackle next, ranked by impact and team overlap. Show how the playbook compounds: same team, proven governance, reusable prompts. Sketch out system-level wins (e.g., "AI-assisted approval routing across all teams" or "reusable prompt library"). **The shift from tool-first to system-last:** Once you've proven ROI in one workflow, the next one is faster and cheaper. This is how you move from pilots to platform.

Template

# AI Marketing Playbook ## [Company Name] | [Quarter/Year] --- ## Executive Summary **Objective:** Implement AI in [ONE high-friction workflow] to reduce operational debt, improve [specific metric], and prove measurable ROI within 90 days. **The Problem We're Solving:** - [Describe the workflow bottleneck: e.g., "Content approval cycles take 5+ days, blocking campaign launches"] - **Time leaking:** [Quantify: e.g., "12 hours/week in coordination and rework"] - **Revenue at stake:** [Connect to business impact: e.g., "Delayed campaigns miss 15% of monthly pipeline opportunities"] **Why This Matters Now:** [Explain operational debt impact: e.g., "Our team spends 40% of strategy time on admin tasks instead of growth work. AI can rewire this."] --- ## Part 1: Workflow Audit & Selection ### The Workflow We're Targeting **Name:** [e.g., "Content Brief to First Draft Production"] **Current State:** | Step | Owner | Time | Bottleneck? | Cost | |------|-------|------|-------------|------| | [Step 1: e.g., "Gather requirements"] | [Role] | [Hours] | [Yes/No] | [$ or % of salary] | | [Step 2: e.g., "Write brief"] | [Role] | [Hours] | [Yes/No] | [$ or % of salary] | | [Step 3: e.g., "Draft content"] | [Role] | [Hours] | [Yes/No] | [$ or % of salary] | | [Step 4: e.g., "Internal review"] | [Role] | [Hours] | [Yes/No] | [$ or % of salary] | | [Step 5: e.g., "Revisions"] | [Role] | [Hours] | [Yes/No] | [$ or % of salary] | | **Total Cycle Time** | — | **[X hours]** | — | **[Total $]** | **Why This Workflow:** - Directly impacts [revenue metric: e.g., "campaign velocity and pipeline contribution"] - Affects [team size]: [X] people spend [Y]% of their time here - Operational debt: [Describe: e.g., "5 approval loops, unclear ownership, tool sprawl between Slack, email, and docs"] --- ## Part 2: AI Lever & Solution Design ### The AI Intervention **What We're Automating:** [e.g., "AI-assisted brief-to-draft generation using GPT-4 + brand guardrails"] **How It Works:** 1. [Step 1: e.g., "Marketer inputs brief into custom prompt template"] 2. [Step 2: e.g., "AI generates 3 draft variations in brand voice"] 3. [Step 3: e.g., "Marketer selects best version, makes light edits (5 min)"] 4. [Step 4: e.g., "Approved draft moves to review (no rework loop)"] **Tools & Stack:** - **AI Model:** [e.g., "GPT-4 via OpenAI API"] - **Integration:** [e.g., "Custom Zapier workflow + Slack notification"] - **Governance Layer:** [e.g., "Brand compliance rules, data masking, approval log"] - **Ownership:** [Role] is DRI for setup and maintenance **What Success Looks Like:** - **Time Saved:** From [X hours] to [Y hours] per cycle = [Z]% reduction - **Quality Gate:** [Metric: e.g., "0 brand violations, 90%+ approval on first draft"] - **Velocity Impact:** [e.g., "Campaigns launch 3 days faster, enabling 2 additional campaigns/quarter"] --- ## Part 3: Lightweight Governance & Risk Management ### Guardrails (Not Gatekeepers) **Data & Security:** - ✓ [Policy: e.g., "No customer PII, account numbers, or confidential pricing in prompts"] - ✓ [Policy: e.g., "All AI outputs logged and retained for 90 days for audit"] - ✓ [Policy: e.g., "API keys stored in [secure vault], rotated quarterly"] **Brand & Compliance:** - ✓ [Rule: e.g., "All AI drafts must pass brand voice checklist before human review"] - ✓ [Rule: e.g., "Legal review required for [specific content types]"] - ✓ [Rule: e.g., "Regulatory/compliance claims require human verification"] **Ownership & Escalation:** - **DRI:** [Role] — day-to-day tool management - **Escalation:** [Role] — brand/compliance decisions - **Executive Sponsor:** [Role] — ROI tracking and expansion decisions **Shadow AI Prevention:** - [Action: e.g., "Monthly team sync to surface ad-hoc AI use"] - [Action: e.g., "Approved tools list published in team wiki"] - [Action: e.g., "Quarterly audit of AI spend across all subscriptions"] --- ## Part 4: 90-Day Implementation Roadmap ### Phase 1: Setup & Pilot (Weeks 1–2) | Milestone | Owner | Deadline | Success Criteria | |-----------|-------|----------|------------------| | Tool procurement & access | [Role] | [Date] | [e.g., "API keys live, test prompts running"] | | Prompt engineering & brand templates | [Role] | [Date] | [e.g., "3 approved prompt templates, tested with 5 samples"] | | Governance doc signed off | [Role] | [Date] | [e.g., "Legal, compliance, brand all approved"] | | Pilot team trained (4–5 people) | [Role] | [Date] | [e.g., "100% attendance, hands-on test completed"] | ### Phase 2: Controlled Rollout (Weeks 3–6) | Milestone | Owner | Deadline | Success Criteria | |-----------|-------|----------|------------------| | Pilot produces [X] outputs | [Role] | [Date] | [e.g., "20 AI-assisted drafts completed, logged"] | | Quality & time metrics tracked | [Role] | [Date] | [e.g., "Avg draft time: [Y] hours, approval rate: [Z]%"] | | Feedback loop & prompt refinement | [Role] | [Date] | [e.g., "2 prompt iterations based on pilot learnings"] | | Governance stress-tested | [Role] | [Date] | [e.g., "0 compliance issues, audit trail complete"] | ### Phase 3: Full Rollout & Scale (Weeks 7–12) | Milestone | Owner | Deadline | Success Criteria | |-----------|-------|----------|------------------| | All [X] team members trained & live | [Role] | [Date] | [e.g., "100% adoption, 50+ outputs/month"] | | ROI dashboard live | [Role] | [Date] | [e.g., "Time saved, campaign velocity, pipeline impact visible"] | | Expansion decision made | [Role] | [Date] | [e.g., "Approved to scale to [next workflow]"] | --- ## Part 5: ROI Measurement & Business Case ### Baseline Metrics (Pre-AI) | Metric | Current State | Target State (90 days) | Impact | |--------|---------------|------------------------|--------| | [e.g., "Avg cycle time per asset"] | [X hours] | [Y hours] | [Z]% faster | | [e.g., "Approval cycles per asset"] | [X] | [Y] | [Z] fewer loops | | [e.g., "Assets produced per FTE/month"] | [X] | [Y] | [Z]% increase | | [e.g., "Campaign launch delays"] | [X days avg] | [Y days avg] | [Z] days saved | | [e.g., "Pipeline contribution (campaigns/qtr)"] | [X] | [Y] | [Z] additional campaigns | ### Financial ROI **Cost of Implementation:** - Tool subscription: $[X]/month × 3 months = $[Total] - Setup & training (internal time): [X hours] × $[rate] = $[Total] - **Total Investment:** $[Amount] **Value Created (90 days):** - Time saved: [X hours/month] × 3 months × $[hourly rate] = $[Total] - Productivity gain: [X additional campaigns] × $[avg revenue per campaign] = $[Total] - Operational efficiency: [X% reduction in rework] × [team cost] = $[Total] - **Total Value:** $[Amount] **ROI:** [X]% | **Payback Period:** [X weeks] **Annualized Impact (if scaled):** $[Amount] + [X] additional campaigns/year --- ## Part 6: Scaling & Next Workflows ### Workflows to Tackle Next (Priority Order) 1. **[Workflow Name]** — [Why: e.g., "Same team, similar bottleneck, proven playbook"] - Estimated time savings: [X hours/month] - Estimated ROI: [X]% 2. **[Workflow Name]** — [Why] - Estimated time savings: [X hours/month] - Estimated ROI: [X]% 3. **[Workflow Name]** — [Why] - Estimated time savings: [X hours/month] - Estimated ROI: [X]% ### System-Level Wins (Beyond Tools) - [e.g., "Consolidate approval workflows across [X] teams using AI-assisted routing"] - [e.g., "Build reusable prompt library to reduce tool sprawl and training time"] - [e.g., "Establish AI CoE to govern expansion and prevent shadow AI"] --- ## Appendix: Team Roles & Responsibilities | Role | Responsibility | Time Commitment | |------|-----------------|------------------| | [e.g., "Content Lead"] | [e.g., "Pilot execution, feedback, rollout champion"] | [X hours/week] | | [e.g., "Marketing Ops"] | [e.g., "Tool setup, integration, governance logging"] | [X hours/week] | | [e.g., "Brand Manager"] | [e.g., "Prompt templates, brand compliance, QA"] | [X hours/week] | | [e.g., "Legal/Compliance"] | [e.g., "Risk review, policy sign-off, audit"] | [X hours/week] | | [e.g., "CMO/Sponsor"] | [e.g., "Executive alignment, scaling decisions, reporting"] | [X hours/week] |

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