The AI Playbook — Practical AI Plays for Business | The Blue Narwhal Skip to main content
Practical Plays

The AI Playbook

Actionable AI plays for real business problems — organised by objective, ready to run. No hype, no theory. Just moves that work.

8Plays & counting
5Categories
FreeNo sign-up needed
Productivity

The 10-Hour Founder Audit

Identify which parts of your business are ready for AI automation and reclaim your calendar.

The Play

  1. 1Track every task you do for one full week. Don't filter — capture everything, even the two-minute things.
  2. 2Categorise each task: Repeatable (same steps every time), Creative (requires your judgment), or Relationship (requires your presence).
  3. 3Highlight every Repeatable task. These are your AI candidates. Estimate the time each costs you per week.
  4. 4Pick the top three by time cost and research one AI tool for each. Start with the biggest return first.
  5. 5Implement one tool at a time. Measure the time saved. Compound from there.

Tools to Consider

Notion AI Zapier Make.com Reclaim.ai
Governance

Shadow AI: Stopping Leaks

Stop unauthorized AI tools from exposing your company's private data and client information.

The Play

  1. 1Survey your team anonymously: which AI tools are they using, and what data are they feeding in? You'll be surprised.
  2. 2Map the risk: identify which tools have access to client data, financial records, or proprietary processes.
  3. 3Don't ban — govern. Create an approved tool list with clear use guidelines. Banning drives usage underground.
  4. 4Write a one-page AI Acceptable Use Policy. Cover what data can and cannot be entered into any AI tool.
  5. 5Train your team in 30 minutes. Make it practical, not punitive. Revisit quarterly as tools evolve.

Tools to Consider

Microsoft Purview Nightfall AI BNW AI Policy Template
Growth

The AI Content Machine

Turn a single video or article into a month of social media posts without sounding like a robot.

The Play

  1. 1Record one high-quality long-form piece — a 20-minute video, podcast episode, or detailed article on a topic you know deeply.
  2. 2Transcribe it automatically. Feed the transcript into an AI tool with this prompt: "Extract the 10 most standalone insights from this."
  3. 3Turn each insight into: one LinkedIn post, one short-form video script, and one email newsletter paragraph.
  4. 4Edit everything in your own voice before publishing. AI is the first draft — you are the author.
  5. 5Schedule across platforms. One piece of content, one month of output.

Tools to Consider

Descript Claude Buffer Riverside.fm
Productivity

The Smart Inbox Sorter

Build an AI filter that highlights revenue-generating emails and eliminates digital noise automatically.

The Play

  1. 1Define three inbox categories: Urgent Revenue (clients, leads, money), Internal Team, and Learning/Noise.
  2. 2Set up AI-powered filters or labels in Gmail or Outlook to auto-sort incoming mail into those buckets.
  3. 3Spend your first 30 minutes of the day only on the Urgent Revenue bucket. Batch everything else to a specific time.
  4. 4Unsubscribe from anything that hasn't generated value in 30 days. Use an AI tool to do this in bulk.
  5. 5Review and refine the filters weekly for the first month. They get smarter as you train them.

Tools to Consider

Gmail AI Labels SaneBox Microsoft Copilot Unroll.me
Support

24/7 Customer Support

Implement ManyChat to handle customer FAQs and simple transactions around the clock — without adding headcount.

The Play

  1. 1List your 20 most common customer questions. These are the foundation of your chatbot's knowledge base.
  2. 2Set up ManyChat connected to your Instagram, Facebook, or website. Map each common question to a clear, on-brand answer.
  3. 3Build flows for simple transactions: appointment booking, pricing inquiries, order status, and refund requests.
  4. 4Set a clear handoff rule: anything the bot can't resolve confidently routes to a human within one business day.
  5. 5Review the bot's conversation logs weekly for the first month. Train it on the gaps. Most businesses resolve 60–80% of routine inquiries automatically within 60 days.

Tools to Consider

ManyChat Tidio Intercom Zapier
Growth

Advanced Personalization

Move beyond generic ads. Use Mailchimp's AI content suggestions and Brandwatch sentiment analysis to understand what your customers want before they tell you.

The Play

  1. 1Set up Brandwatch (or a lightweight alternative like Mention) to monitor what your customers are saying about your category online — not just your brand.
  2. 2Identify the top three recurring frustrations or desires in those conversations. These are your personalization triggers.
  3. 3Segment your Mailchimp list by customer behaviour: recent buyers, lapsed customers, high-value leads. Each segment gets different messaging.
  4. 4Use Mailchimp's AI-powered content suggestions to generate subject lines and email copy tailored to each segment's sentiment profile.
  5. 5Test, measure open and click rates by segment, and feed the winners back into Brandwatch to close the loop. Generic blasts become precision campaigns.

Tools to Consider

Mailchimp AI Brandwatch Mention Kit (ConvertKit)
Efficiency

Professional Services Autopilot

Leverage AI to draft routine paperwork and speed up appointment scheduling — freeing billable hours for the work only you can do.

The Play

  1. 1List every document you produce on a recurring basis: proposals, contracts, intake forms, reports, follow-up emails.
  2. 2Build AI prompt templates for each. Feed in the client details, let the AI draft, then review and sign off. Microsoft research shows AI can help draft standard documents 3x faster.
  3. 3Implement an AI-powered scheduling tool. Eliminate the back-and-forth. PwC reports AI-assisted scheduling can reduce appointment coordination time by up to 50%.
  4. 4Connect your scheduling tool to your CRM so client records update automatically when meetings are booked or completed.
  5. 5Track hours saved per week. Redirect that time to billable work or business development.

Tools to Consider

Claude Calendly Microsoft Copilot HubSpot CRM
Efficiency

Retail & Inventory Intelligence

Use AI to predict demand fluctuations and reduce overstock and stockout costs — before they hit your bottom line.

The Play

  1. 1Export 12 months of sales data by SKU. This is the foundation — AI forecasting is only as good as the historical data you feed it.
  2. 2Identify your top 20% of SKUs by revenue. Focus your AI forecasting efforts here first — this is where errors are most costly.
  3. 3Connect an AI demand forecasting tool to your POS or e-commerce platform. Most integrate directly with Shopify, Square, or QuickBooks.
  4. 4Set automated reorder alerts based on AI-predicted demand rather than fixed thresholds. The McKinsey Global Institute estimates AI-driven inventory management can reduce costs by up to 70%.
  5. 5Review forecasts weekly for the first quarter. Build supplier lead times into the model to avoid stockouts during demand spikes.

Tools to Consider

Inventory Planner Shopify AI Cin7 Brightpearl

Custom Play Request

Need a play for your specific industry or workflow? We'll draft one for you.

Ready to run these plays?

We handle the implementation, governance, and training — so your team executes with precision, not guesswork.

Book a Free Call See Our Services