WAAT AI Labs

AI in Practice

For Sales Teams

1 Hour| Interactive
WAAT AI Labs

About Us

Meet the team behind WAAT AI Labs — experienced AI practitioners who have delivered enterprise solutions across industries and geographies.

YOUR EXPERTS
Kris Gunciarz
Kris Gunciarz
Agentic AI & Enterprise Solutions
🇬🇧 🇵🇱

15+ yrs in enterprise software & AI. Implementations for 20+ organisations incl. SMA Solar and WHO.

Alex Gygax
Alex Gygax
AI Transformation & AI Strategy
🇬🇧 🇨🇭 🇩🇪

8+ yrs in enterprise AI & venture building. Turns ideas into scalable use cases. Worked with NBT.

ABOUT WAAT AI LABS

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.

SELECTED CUSTOMERS
Audi Deloitte SMA Solar Swiss Re Novartis CHUV OBI
IN NUMBERS
16+YEARS
60+CUSTOMERS
3+YRS AGENTIC
4COUNTRIES
WAAT AI Labs

Workshop Overview

A structured, 1-hour session designed for sales, SDR, RevOps and sales engineering teams. No technical background required — every example is pulled from real sales work.

WORKSHOP BUILDING BLOCKS
01 · 15 min
AI Overview

From research & personalized outreach to account plans, call notes & CRM hygiene

02 · 15 min
Prompting for Sales

Hands-on prompting for emails, discovery questions, objection handling & follow-ups

03 · 15 min
Sales Use Cases

Pipeline, prospecting, conference ops & sales engineering — mapped to your motion

Who is this for? AEs, SDRs, RevOps, sales engineers, and sales leadership — no technical background needed. Available online or onsite at your location.
Workshop session
A structured 1-hour session — interactive, practical, no fluff
WAAT AI Labs
01

AI Overview

15 min · Live demonstrations

A jargon-free look at what AI can do today for a sales team — with live demos, hands-on tool exploration, and a practical feel for where the technology stands.

TOPICS
AI for Sales Tools

ChatGPT, Claude, Clay, HubSpot & Salesforce AI copilots

Risks & Guardrails

Hallucinations, data leakage & what AI shouldn't write on your behalf

Sales Use Cases

Prospect research, outreach, call notes, CRM hygiene & conference ops

Takeaway: A clear mental model of how AI fits into your sales motion — from first touch to closed-won.
TOOLS WE'LL EXPLORE
Claude

Anthropic's frontier AI assistant — reasoning, writing & analysis

Anthropic
Claude Code

AI-powered coding agent — build software with natural language

Anthropic
Codex

OpenAI's cloud-based coding agent for autonomous software tasks

OpenAI
OpenClaw

Open-source AI coding agent — transparent, extensible & powerful

Open Source
WAAT AI Labs
02

Prompting for Sales

15 min · Hands-on practice

The quality of AI output depends on how you communicate with it. Learn prompting techniques with real sales artefacts — cold emails, discovery questions, objection handling, account plans.

TOPICS
  • Prompting fundamentals — structure, context, and ICP specificity
  • Writing cold emails that don't read like cold emails
  • Generating discovery questions & MEDDIC qualification from call notes
  • Reusable prompt templates: account research, objection handling, follow-ups
  • AI skills — saved recipes that turn multi-step sales tasks into one click
Takeaway: Practical prompting skills plus a starter pack of reusable templates for prospecting, discovery, and follow-through.
Prompting
Learning to communicate effectively with AI tools
WAAT AI Labs

AI Skills for Sales

Think of skills as saved recipes — you describe a repetitive sales workflow once, and AI runs it perfectly every time.

EXAMPLE SALES SKILLS
🎯 Account research brief

Turn a domain into a 1-pager: news, hiring signals, tech stack, and hooks

📞 Call → CRM update

Transcribe a discovery call and auto-fill MEDDIC fields in HubSpot / Salesforce

✉️ Personalized sequence

Generate a 4-touch outreach sequence tailored to one account, not one persona

Any repeatable sales workflow can become a skill.

LIVE EXAMPLE

Attendee list Conference CRM

Drop in a conference attendee list, and AI builds a fully-enriched mini-CRM for the event — ranked, researched, and ready for outreach.

1. Upload the attendee list (CSV, PDF agenda, or speaker page URL)
2. AI enriches each contact: company fit, role, LinkedIn, recent news, ICP score
3. Outputs a ranked conference CRM + personalized intro message per top target
Attendee list
AI Skill
Conference CRM
Key idea: Every rep has 5–10 repetitive workflows. Turn each into a skill once, and the whole team runs faster forever.
WAAT AI Labs
03

Sales Use Cases

15 min · Interactive discussion

Now it's your turn. Using AI as a brainstorming partner, we'll map concrete use cases to your sales motion — from pipeline gen to deal closing and conference ops.

EXAMPLES WE'LL EXPLORE
  • Conference CRM — build a ranked mini-CRM from any attendee list and auto-draft intros
  • Account research agent — domain → 1-pager with hooks, news & tech stack
  • Inbound lead triage — score & route new leads against your ICP in seconds
  • Call → CRM update — turn call transcripts into MEDDIC-ready deal records
  • Objection playbook — personalized rebuttals drawn from past closed-won deals
  • Pipeline hygiene agent — flag stale deals, missing fields & next-best actions
Takeaway: A sales use-case backlog sorted by impact vs. effort — with at least one "quick win" your team can build this quarter.
Use Case Generation
Collaborative brainstorming with AI as your thinking partner
WAAT AI Labs

Prioritization Framework

Each AI use case is scored across 6 dimensions (1–5 scale) to objectively prioritize your backlog.

01
💰 Business Impact
ROI potential & strategic value
02
⚡ Effort
Time & complexity to implement
03
🗄️ Data Readiness
Availability & quality of data
04
🤝 Team Buy-in
Change acceptance & enthusiasm
05
👥 Stakeholders
Departments & decision-makers
06
⚠️ Risk Level
Compliance & failure impact
Prioritization
Data-driven prioritization for maximum impact
How it works: Score each use case 1–5 across all 6 dimensions. Total score (max 30) determines priority. 20+ = Quick Win, 15–19 = Plan, <15 = Revisit later
WAAT AI Labs

Your AI Journey
Starts Now.

GET IN TOUCH
ai@waat.eu
Audi Deloitte SMA Solar Swiss Re Novartis CHUV OBI