Tam Nguyen

Free system · 5 modules · tamnguyen.ai

Consult Like a Pro

The full system to turn Claude expertise into a $5K-$10K consulting offer. Discovery interview templates, the AI Maturity scorecard, the audit pitch deck, the findings deliverable, and the client acquisition motion I use myself.

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The framework everything hinges on

The AI Maturity Model.

Every company you ever prospect sits at one of these 5 levels. The whole consulting motion (pitch, scope, price, deliverable) keys off of where they land. Module 2 has the 16-question scorecard that plots any company in 10 minutes, plus the 4-step discovery script for each level.

0
Unaware
Don't know AI applies to them. Not buyers yet.
1
Curious
Tinkering with ChatGPT. Have no system. Highest urgency, lowest budget.
2
Experimenting
Bought some tools, no integration. Stuck. This is where most prospects sit.
3
Operating
AI live in 1-2 workflows. Looking to scale. Will buy services on ROI.
4
Compounding
AI across the org, internal team. Buys advisors and audits, not implementation.

Most prospects sit at level 2. They've bought tools, they have no system, and they feel stuck. That's the easiest tier to sell into. The book has the discovery script that makes them feel the gap between level 2 and level 4 without a single pushy line.


What's inside

Five modules. End-to-end consulting motion.

Module 1

The Playbook

  • The AI ROI Method: Listen → Locate → ROI
  • Two discovery lenses: the Leadership lens and the Operator lens
  • How to map a client's business (Operating Map) and rank opportunities (ROI Priority Grid)
  • Validate before you present: the 30-minute test that kills bad recommendations
Module 2

The AI Maturity Model

  • 5 maturity levels: Unaware, Curious, Experimenting, Operating, Compounding
  • The 16-question scorecard to plot any company in 10 minutes
  • How to read a score and what each level can actually buy
  • The 4-step discovery script that uses the Maturity Model to create urgency without selling
Module 3

The Discovery Deck

  • The slide deck I use to pitch the 2-week AI Audit
  • The 'cost of not doing it' framing that makes the audit pay for itself
  • Map first, tool second: why this beats every AI consultancy pitching tools
  • The money slide: 12-month projection if nothing changes
Module 4

The Findings Deck

  • The deliverable template: 3-phase engagement (Discovery, Solution Design, Execution)
  • How to plot every AI candidate against impact and effort (the ROI Priority Grid)
  • Stakeholder interview output → roadmap output, fully worked
  • Three Quick Wins format: 90 days, one named owner per win
Module 5

Find the Clients

  • The 3-tier client acquisition framework (Local-First → Up-market → Inbound)
  • The Local-First Doctrine: why your first 5 clients should be inside 30 miles
  • The post-to-DM funnel that turns LinkedIn content into discovery calls
  • The cold call script: Pattern Interrupt → Permission → Pitch → Plan

10 questions, real answers

The questions aspiring consultants ask me.

The honest sticking points from operators thinking about turning their AI skill into a consulting practice: pricing, first client, legal, the safety net.

What experience do I need to start consulting on AI?+

Less than you think. The bar isn't 'I'm an ML researcher,' it's 'I've shipped Claude projects in my own work and can explain them to a non-technical buyer.' If you've built 2-3 useful internal automations and can talk about ROI in their language, you're qualified for the SMB end of the market. The book is built for operators making the jump from corporate, not for consultants with 10 years of agency experience.

How much can I actually charge?+

Three rough tiers. Local SMBs (5-50 employees): $2K-$5K for a 2-week audit, $5K-$10K for an implementation. Mid-market: $10K-$25K audits, $25K-$75K implementations. Enterprise: $50K-$200K+ for everything. Most new consultants do their first 3-5 engagements at $2K-$5K to build case studies, then move up. Module 4 has the pricing logic and how to defend it.

How do I find my first client?+

The Local-First Doctrine: your first 5 clients should be inside 30 miles, found through real-world proximity (chamber of commerce, local meetups, your existing network). Why: shorter sales cycle, you can meet in person, they don't compare you to a coastal agency. Cold outreach and inbound come later. Module 5 has the playbook.

Do I need an LLC, contracts, insurance, etc.?+

Get an LLC before client #1 (~$200 in most states, 1 hour). Use a simple consulting agreement (a $50 LegalZoom template is fine). E&O insurance is optional for your first 2-3 engagements but get it before you hit $25K+ contracts. Don't let the legal stuff become procrastination — operators who wait until everything's perfect never start.

What if I can't actually deliver? What's the safety net?+

Three safety nets. (1) The Operating Map you build for the client is valuable on its own — even if you don't ship code, they have documentation they didn't have before. (2) For implementation work, scope a phase-1 that's 90% Claude prompts and SOPs, not custom engineering. (3) The Findings Deck (Module 4) deliverable is the safety net itself: even a stalled engagement produces a roadmap they can run with another vendor.

How is this different from generic 'AI consulting' guides?+

Generic guides tell you to 'find your niche' and 'build authority.' This is the specific motion: the questions to ask in discovery, the deck slides for the pitch, the deliverable template, the pricing logic, the post-to-DM funnel. It's the workflow, not the philosophy. The book is everything I'd hand a junior consultant on day 1.

Can I do this as a side hustle while still in corporate?+

Yes, this is the most common path. Most readers do 2-3 evening hours a week building their first engagement around their day job. Module 5 has a chapter on managing the conflict: how to discover clients without using company time/equipment, how to handle the first 'are you serious about leaving?' moment, when to flip from side-hustle to full-time.

What if my prospect already uses AI?+

Great — they're at Maturity Level 2 or 3, which means they have budget and they've already felt the pain. The pitch shifts from 'AI is useful' (level 0-1) to 'you have AI but no system, here's how to get to compounding returns' (level 2-3). The Maturity Model in Module 2 has the exact discovery script for each level.

What tools do I actually need (CRM, deck software, etc.)?+

Minimum stack: Google Workspace (docs + sheets), Cal.com or Calendly for booking, a free CRM (Notion or HubSpot free tier), Loom for async pitches, Stripe for invoicing. That's $0-$20/mo to get started. The Discovery Deck and Findings Deck are Google Slides templates in Module 3 and 4 — you don't need a designer.

How is this different from your Process Audit Call ($297)?+

Different sides of the same table. CLAP teaches you to RUN audits and consulting engagements for clients. The Process Audit Call is me running one on YOUR business. Read CLAP if you want to do this professionally for others. Book the Audit Call if you want to operate it on your own company. Many readers do both: book the Audit to see how I run it live, then use CLAP to run it for clients.


Get the full system

5 modules. Templates included. Free.

The Playbook, the AI Maturity Model + scorecard, the Discovery Deck, the Findings Deck template, and the Find the Clients playbook. Free, in your inbox.

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