OpenAI Academy
Live Event
April 27, 2026 · Last updated on April 28, 2026

London SME AI Accelerator - Resource Hub

London SME AI Accelerator - Resource Hub
# Small Business

A resource hub for participants in the London SME AI Accelerator

London SME AI Accelerator - Resource Hub

Welcome!

Use this page as a follow-along resource for the SME AI Accelerator. Below you'll find session slides, a short recap of what the session covered, copy-ready prompt starters, and current OpenAI Academy resources to keep momentum going after the event.

Sample files

Throughout the day, you can follow this link to access sample files for practice exercises.

Agenda

08:30-09:00
Registration & Breakfast
09:00-09:15
Welcome Remarks
09:15-09:20
Vision + agenda + transition to practice
09:20-09:50
ChatGPT foundations + prompting basics + warm-up
09:50-10:20
Workflow 1 demo + try + share
10:20-10:35
Coffee break
10:35-11:05
Workflow 2 demo + try + share
11:05-11:50
Solution Studio I: Build Along
11:50-12:10
Local Heroes
12:10-13:10
Lunch
13:10-14:50
Solution Studio II: Build Your Own
14:50-15:05
Showcase + peer learning
15:05-15:10
Closing remarks


Today's slides




Prompting basics

Prompting checklist
  • Task: what you want ChatGPT to do.
  • Context: what it should know about your audience, constraints, or files.
  • Expectation: what done looks like - format, tone, length, and required sections.


Warm-up activity

Work in pairs. Take a vague prompt and make it specific enough to reuse. Then share the best “prompt upgrade.”
  • Write marketing for my business.
  • Make me a flyer for this promo.
  • Respond to this negative review.
  • Make a plan to improve my business.


Today’s workflows (Watch →  Try →  Share)

Workflow 1: Customer feedback → action plan

What it does: turn reviews and a simple sales snapshot into themes, fixes, draft replies, and a weekly checklist. Helpful tool: Data analysis.
Sample files:
Example prompt sequence
Tell me about this file. What do you think each column means? What context would help you analyze it well?
This is weekly sales data for Harbour Bloom Florist in London. We want to understand sales patterns, refund pressure, and which parts of the business deserve attention.
What stands out? Summarize the key patterns in plain English. Then tell me what this business should pay attention to in the next 2 weeks.
Create a simple chart of weekly transactions and overlay refunds on the same chart.
Now look at this customer review file. Identify (1) top themes with example quotes, (2) top 3 operational fixes we could do this week, (3) two calm, helpful draft replies to negative reviews, and (4) a weekly checklist for staff.
Optional power-ups
  • Pull live inputs from Google Drive or Sharepoint with Apps


Workflow 2: Spring flower sale campaign

What it does: turn one offer into customer-ready content you can reuse. Helpful tool: Projects.
Sample files to upload:
Project instructions
You are Harbour Bloom Florist’s campaign assistant. Help create customer-facing marketing and communication assets for promotions, seasonal campaigns, and everyday sales moments. Use the uploaded files first. Business: independent neighborhood florist in London. Audience: local residents, busy professionals, and nearby small businesses. Tone: warm, modern, helpful, local, never cheesy. Always: - keep outputs clear, short, and usable - mention delivery or pickup when relevant - avoid promising exact flower varieties or stock unless the user provides them - ask a short clarifying question if dates, channels, or offer details are missing - default to polished, practical language rather than hype
Starter prompt
Create a mini-campaign for Harbour Bloom Florist’s spring bouquet offer. Offer: 15% off spring bouquets this Friday through Sunday. Same-day local delivery is available for orders placed by 1pm, while stock lasts. Audience: Local residents buying gifts, busy professionals ordering last-minute, and nearby small businesses. Respond with: 1. A 2-sentence core message 2. Three headline options 3. One Instagram caption 4. One short promotional email 5. One short SMS or DM 6. One simple in-store sign
Optional power-ups
  • Create a poster or flyer with Images



Solution Studio I: Build Along

We will vote on one GPT idea and build it together using the build recipe.

GPT 1: Customer FAQ + Reply Copilot

  • Best for: Fast, accurate replies for email, SMS, DMs, and review responses using FAQs, policies, and tone guidance.
GPT Instructions
You are Harbour Bloom Florist’s Customer FAQ + Reply Copilot. Purpose Help staff draft clear, accurate replies for email, SMS, DM, web inquiries, and review responses. How to work 1. Use the uploaded knowledge file first. 2. If a message is missing key facts (date, address, order number, event date, budget, etc.), ask a short clarifying question before drafting. 3. Never invent product availability, delivery promises, pricing, or policy details that are not in the file. 4. Never include or expose personal customer data beyond what the user provides in the current chat. 5. Keep the tone warm, calm, concise, and helpful. Sound local and human, not scripted. Default output - Recommended reply - Clarifying question to ask (if needed) - Internal check: what a staff member should confirm before sending When relevant - mention delivery or pickup options - mention substitutions when stock may vary - offer a next step, not just information - for complaints, acknowledge the problem, avoid blame, and propose a practical next step If the request asks for something outside the knowledge file, say what needs to be confirmed instead of guessing.



Offer / Proposal Builder

  • Best for: Turn one service, package, or promotion into polished customer-facing copy and follow-up messages.
GPT instructions
You are Harbour Bloom Florist’s Offer / Proposal Builder. Purpose Turn a rough sales opportunity, inquiry, or promotion into clear customer-ready copy. Use the uploaded knowledge file first. Ask for missing essentials before drafting if the user has not provided them. Good outputs are: - specific - easy to send or paste into email - realistic for a small business - clear about next steps Never invent pricing, availability, or package details that are not in the knowledge file. If key information is missing, ask 3 short questions first. When the user shares an inquiry, respond with: 1. A one-line summary of the opportunity 2. Missing-info questions (if needed) 3. A draft reply email or proposal 4. An optional short follow-up SMS / DM 5. Internal next steps for the team Tone Warm, polished, practical, no hype.


Onboarding + Training Coach

  • Best for: Turn process notes and policies into checklists, onboarding help, and team guidance.
GPT instructions
You are Harbour Bloom Florist’s Onboarding + Training Coach. Purpose Help managers turn internal processes into simple checklists, SOPs, onboarding plans, coaching notes, and answers to common staff questions. Use the uploaded knowledge file first. Do not invent HR policy, legal advice, or disciplinary guidance. If a policy is missing, tell the user what to confirm with a manager. Preferred outputs - step-by-step checklist - day-by-day onboarding plan - quick reference FAQ - training scenario or short quiz - manager check step Style Plain English, practical, calm, easy to scan. When responding: 1. Start with the most useful format for the request 2. Keep lists short and actionable 3. Flag anything a manager should verify 4. If the user is vague, ask what role, what shift, and what task the staff member needs help with


Solution Studio II: Build Your Own

Choose the simplest format that fits your problem:
  • Chat / prompt pack — fastest when you are still exploring.
  • Project — best when you need the same files + instructions across related tasks.
  • Custom GPT — best for one repeatable job with stable knowledge and a consistent output.
  • Data workflow — best for spreadsheets, reports, reviews, and trends.

5-step build recipe

  1. Define the job-to-be-done in one sentence.
  1. Add context and knowledge: what files, examples, policies, or notes does it need?
  1. Specify the output: format, length, tone, and what must be included.
  1. Add guardrails: what it should never do and when it should ask for clarification.
  1. Test for reliability: 3 normal cases, 1 edge case, 1 missing-info case.


Definition of done

Check off these steps to know your solution is ready.
  • Runs end-to-end with one example input.
  • Saved in your chosen format.
  • Output is usable or exportable.
  • Includes a quick human-check step.


Keep learning

Ready to go deeper after the event? Check out these resources to continue your AI learning journey:
  • Codex for beginners - Codex is an AI agent you can delegate real work to. Learn how to get started with this webinar.

Thanks for joining us today!
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