AI Executive & Team Trainer

• Zoom Webinars
• Butter
• Loom

• Notion
• Google Docs/Slides
• Tango

• HubSpot CRM
• Notion CRM template
• Calendly

I run an AI coaching and training business. I have a discovery call coming up with a [INDUSTRY] company that has [NUMBER] employees and currently uses [LIST THEIR TOOLS]. They want to understand how AI could help their team.

Create a 15-question AI readiness audit I can send them before the call. The audit should cover:
1. Current workflow pain points (5 questions)
2. Existing tech stack and data hygiene (4 questions)
3. Team AI literacy and comfort level (3 questions)
4. Leadership buy-in and budget signals (3 questions)

For each question, include: the question itself, why I'm asking it (my internal note), and what a 'low readiness' vs 'high readiness' answer looks like. Format it as a Google Form-ready list I can copy directly.

Review requirements: Separate supplied facts from assumptions. Do not invent market data, customer results, testimonials, or source citations. Flag missing information and suggest a small validation test. Mark numerical examples as scenarios. Keep the final decision with me.

I'm delivering a half-day (4-hour) AI training workshop to a team of [NUMBER] people at a [INDUSTRY] company. Their primary roles are [JOB TITLES]. Their current AI experience level is [beginner/intermediate]. The business outcomes they want are [LIST 2-3 GOALS].

Create a complete facilitator guide including:
- A timed agenda broken into 30-minute blocks
- Learning objectives for each block
- 2-3 hands-on activities or exercises per block (specific, not generic)
- Suggested prompts or demos I can run live
- Common participant questions and how to answer them
- A 10-minute 'next steps' closing that leaves them with a concrete action plan

Make the activities specific to their industry and job roles. Avoid generic 'explore ChatGPT' exercises — give me real workflow-connected tasks they'll actually use Monday morning.

Review requirements: Separate supplied facts from assumptions. Do not invent market data, customer results, testimonials, or source citations. Flag missing information and suggest a small validation test. Mark numerical examples as scenarios. Keep the final decision with me.

I need to write a 90-day AI implementation plan for a client. Here are their details:
- Industry: [INDUSTRY]
- Team size: [NUMBER]
- Current tools they use: [LIST]
- Top 3 workflow bottlenecks they want to solve with AI: [LIST]
- Budget for new AI tools: [MONTHLY BUDGET]
- Technical comfort of team: [LOW/MEDIUM/HIGH]

Create a 90-day phased implementation SOP with:
- Phase 1 (Days 1-30): Foundation — tool selection, team onboarding, first wins
- Phase 2 (Days 31-60): Integration — embedding AI into existing workflows, building internal prompts library
- Phase 3 (Days 61-90): Optimization — measuring time saved, expanding use cases, reducing friction

For each phase include: weekly milestones, who owns each task (role-based), success metrics, and a 'what to do if stuck' troubleshooting note. Format as a table I can drop into Notion or Google Docs.

Review requirements: Separate supplied facts from assumptions. Do not invent market data, customer results, testimonials, or source citations. Flag missing information and suggest a small validation test. Mark numerical examples as scenarios. Keep the final decision with me.

I'm an AI coaching and training consultant. I just completed a discovery call with a potential client. Here's what I learned:
- Company: [INDUSTRY], [NUMBER] employees, [REVENUE RANGE if known]
- Their problem: [DESCRIBE PAIN POINT IN 2-3 SENTENCES]
- What they asked for: [WHAT THEY SAID THEY WANT]
- What I think they actually need: [YOUR ASSESSMENT]
- Their timeline: [WHEN THEY WANT TO START]
- Budget signals: [WHAT THEY SAID OR HINTED]

Write a professional proposal (not a template — a real one) that includes:
1. A one-paragraph 'situation summary' that proves I listened
2. Three tiered packages (Starter, Growth, Transformation) with clear deliverables, timelines, and prices in the range of $2,500 / $5,500 / $10,000
3. What's included and explicitly excluded in each tier
4. A ROI framing paragraph (time saved, errors reduced, capacity gained)
5. A clear call to action with a 7-day decision window

Tone: confident, specific, no fluff. Write it as if I'm sending it today.

Review requirements: Separate supplied facts from assumptions. Do not invent market data, customer results, testimonials, or source citations. Flag missing information and suggest a small validation test. Mark numerical examples as scenarios. Keep the final decision with me.

Start every engagement with a workflow audit. Identify 2-3 specific tasks that eat time or cause errors. Design your training around those exact tasks. Measure time saved, not features learned.

Price by project or outcome, not by the hour. Anchor your pricing to the value delivered, not your time spent.

Before signing any engagement, require a 30-minute call with the decision-maker (not just the team lead). Confirm they'll attend the kickoff, send an internal communication endorsing the training, and set aside 30 minutes/week for follow-up during implementation. Make this a contract requirement.

Schedule a monthly 2-hour 'curriculum audit' block in your calendar. Update one module, test your demos, and note any tool changes. Treat your training materials like a living product, not a finished document.

After your first 3-5 clients, look at where you got results. Pick one or two industries and go deep. Build industry-specific case studies, prompts libraries, and SOPs. Your marketing becomes easier and your close rate goes up.