Workshops — Product, AI & engineering
Six workshops. Each ends with something you use next week.
Hands-on, 4 to 8 hours, for founders, leaders and technical teams. Worked on your own product, data and code.
Your work, not case studiesBuilt to change behaviourEnglish or Arabic · in person or remote
Six workshops — pick one to see the details
01Building Products That Scale Founders · 4h
AI changed how you build and ship. It did not change how you decide what is worth building.
- For
- Founders
- Total
- 4 hours
- Format
- 1 half-day, in person
- Group
- 8–15 founders
The day
- SaaS in the LLM era: which layer are you on?
- Your best customer segment, and a roadmap cut to serve it
- Why deals really stall
- Custom work, packaging and pricing
- Build live with AI, then evaluate what you built
- Retention and the metrics that matter
You leave with
- A named target segment and a re-cut roadmap
- A written rule for custom requests
- A pricing metric decision
- An eval set for one AI feature
- Actions to start next week, with no extra budget
Before the day
- Paying customers
- A 15-minute diagnostic completed in advance
- Your roadmap, last 5 won and 5 lost deals, pricing and retention numbers
- A laptop
02Ship It This Week Founders · 8h over 5 days
A feature that takes three months to build can now be tested with customers in three days. Most teams still build first and ask later.
- For
- Founders & product teams
- Total
- 8 hours over 5 days
- Format
- 4h Monday · 3 × 20 min check-ins · 3h Friday
- Group
- 6–12 participants
The day
- Mon, 4h: sharpen the problem, write a one-page brief and a kill condition, build a first version with AI, book 3 customer sessions
- Tue–Thu, 3 × 20 min: build, test with customers, daily check-in
- Fri, 3h: present the evidence, peer challenge, decide keep, kill or change
You leave with
- A working prototype tested by 3 real customers
- A keep-or-kill decision backed by evidence, not opinion
- A method for testing any feature in a week
Before the day
- One product idea or backlog feature you are unsure about
- Access to 3 real customers or prospects
- A laptop; no coding required
03AI Foundations Teams · 4h
Your people are already using AI, often in tools you have not approved and with data that should not leave the company.
- For
- Teams
- Total
- 4 hours
- Format
- 1 half-day, repeatable per team
- Group
- Up to 25
The day
- How AI actually works, shown through three live failures: made-up answers, tokens and context, and why it does not know your company
- Hands-on: one real task from your job
- The leak test: which data can go where, and prompt injection
- Ethics in practice: where AI should not decide
You leave with
- One real task done with AI, and the prompts to repeat it
- A clear rule on what data goes where
- Knowing when to trust AI output and when to check it
- A documented AI-literacy measure for the organisation
Before the day
- No technical background needed
- Access to the company's approved AI tool
- One repetitive task from your own job
- A 5-minute anonymous survey beforehand
EU clients: supports the AI-literacy duty in Article 4 of the EU AI Act, as amended by the Digital Omnibus in July 2026.
04AI Adoption Playbook Leaders · 8h
Most AI rollouts stall after the licences are bought: either people use it with no rules, or there are rules and nobody uses it.
- For
- Leaders
- Total
- 8 hours
- Format
- 4h morning, everyone · 4h afternoon, leaders & champions
- Group
- Up to 25, then up to 15
The day
- Morning, everyone: the AI Foundations session, condensed
- Afternoon, leaders and champions: map use cases, scored on time saved, data sensitivity and harm if wrong
- Design 3 workflows per department, each with a human checkpoint
- A one-page AI use policy and a list of red-lane uses
- How to measure adoption, and 30-day commitments
You leave with
- 3 pilot workflows per department, with before-and-after time estimates
- A draft AI use policy and data guide
- A named AI champion in each team
- A 30-day plan for measuring adoption
Before the day
- An executive sponsor present for the close
- Department heads, plus one nominated AI champion per team
- Each department's most repetitive tasks
- An anonymous AI-use survey completed beforehand
05Building Production AI Agents Engineers · 8h
Getting an agent to demo is easy. The real job is making it reliable, affordable and safe in production.
- For
- Engineers
- Total
- 8 hours
- Format
- 1 full day, hands-on
- Group
- 8–16 engineers
The day
- Agent or workflow: choosing the right architecture
- RAG that works: chunking, hybrid search, re-ranking
- Tools, function calling and MCP
- Multi-agent orchestration, and when not to use it
- Evals: test sets, grading, catching regressions
- Cost, latency, guardrails, monitoring
You leave with
- A working agent with retrieval and tools, built on your own documents
- An eval set and a baseline score
- A production-readiness checklist covering cost, security and monitoring
Before the day
- Comfortable in Python or JavaScript
- A laptop with a working dev environment
- Familiarity with REST APIs
- A use case and sample documents (API keys can be provided)
06AI-Native Engineering Teams Engineering leaders · 6h
AI coding tools make each developer faster. Without shared practices, the team just produces code nobody can review or maintain, faster.
- For
- Engineering leaders & teams
- Total
- 6 hours
- Format
- 1 day, hands-on
- Group
- 6–15, with their tech lead
The day
- Where AI speeds engineering up, and where it slows it down
- Write the spec before the prompt
- Tests as the contract with the agent
- AI-assisted code review, and its limits
- Agents in CI/CD: permissions, guardrails, security
You leave with
- One real backlog item shipped using the workflow
- A team agreement for AI-assisted development
- A CI/CD guardrails checklist
- Metrics to track the impact: cycle time, rework, defects
Before the day
- Working engineers
- A real repo, or a sandbox copy
- Claude Code, Cursor or similar installed
- Company approval to use AI tools on the codebase
— Delivered by Bassel Jalaleddine
10+ years building SaaS, AI and cloud products. Director of Engineering at EDT&Partners, leading AI adoption and enablement. Entrepreneur in Residence for Scale Now (Qatar MCIT). Founder of eFlow, acquired by EDT&Partners.
Hours are total contact time, including breaks. Every workshop can be tailored in scope, sector and length.