AI in Practice
Product Prototyping & Lifecycle
About Us
Meet the team behind WAAT AI Labs — experienced AI practitioners who have delivered enterprise solutions across industries and geographies.
15+ yrs in enterprise software & AI. Implementations for 20+ organisations incl. SMA Solar and WHO.
8+ yrs in enterprise AI & venture building. Turns ideas into scalable use cases. Worked with NBT.
WAAT is a software and AI consultancy founded 16+ years ago in London, serving enterprise and public sector customers across Europe.
WAAT AI Labs is our specialised AI team. We guide companies from first AI exploration through to production-ready solutions — with a structured, proven methodology.
We've delivered for 60+ customers including Audi, Deloitte Digital, SMA Solar, Swiss Re, Roche & Novartis — across the UK, Switzerland, Germany & Poland.
Workshop Overview
A structured, 1-hour session designed for product managers, designers, engineers, and product leaders. No technical background required — every example is pulled from real product work.
WORKSHOP BUILDING BLOCKS
AI Overview
A jargon-free look at what AI can do today across the product lifecycle — with live demos, hands-on tool exploration, and a practical feel for where the technology stands.
Claude, Claude Code, Cursor, v0, Figma AI & Codex
Hallucinations, IP leakage & what AI shouldn't decide for your users
Research synthesis, PRDs, rapid prototyping, QA & release notes
Anthropic's frontier AI assistant — reasoning, writing & analysis
AI-powered coding agent — build software with natural language
OpenAI's cloud-based coding agent for autonomous software tasks
Open-source AI coding agent — transparent, extensible & powerful
Prompting for Product
The quality of AI output depends on how you communicate with it. Learn prompting techniques with real product artefacts — PRDs, user stories, design critiques, test plans.
TOPICS- Prompting fundamentals — structure, context, and user/problem specificity
- Turning a rough idea into a structured PRD with goals, scope & non-goals
- Generating user stories & acceptance criteria from a feature brief
- Reusable prompt templates: PRDs, design critiques, test plans, release notes
- AI skills — saved recipes that turn multi-step product tasks into one click
AI Skills for Product
Think of skills as saved recipes — you describe a repetitive product workflow once, and AI runs it perfectly every time.
Turn a 3-line feature idea into a full PRD with goals, scope, risks & success metrics
Synthesize 10 user interviews into themes, pain points, and opportunity areas
Generate user-facing release notes and an internal changelog from merged PRs
Any repeatable product workflow can become a skill.
Feature brief → Clickable prototype
Describe a feature in plain English, and AI produces a working, clickable prototype you can share with users and stakeholders — in minutes.
Product Use Cases
Now it's your turn. Using AI as a brainstorming partner, we'll map concrete use cases across your product lifecycle — from discovery and prototyping to launch and iteration.
EXAMPLES WE'LL EXPLORE- Rapid prototyping — brief → clickable prototype ready for user testing in minutes
- Research synthesis — 10 user interviews into themes, quotes & opportunity areas
- PRD drafting — structured PRDs with goals, scope, non-goals & success metrics
- Design critique agent — review flows against heuristics and accessibility rules
- QA test plan generator — turn acceptance criteria into happy paths & edge cases
- Release notes + changelog — user-facing notes and internal changelog from merged PRs
Prioritization Framework
Each AI use case is scored across 6 dimensions (1–5 scale) to objectively prioritize your backlog.
