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The problem nobody admits

Your firm bought AI. Your team isn't using it.

Licences are piling up. Training videos go unwatched. The senior team's still doing the work the old way. We fix that in one session, on your real workflows, with your real data.

The Build-First MethodEvery participant ships a real agent before the session ends.

4 hours

to first working agent

3+

workflows shipped per session

100%

hands-on, zero theory

Custom

built around your real work

Models covered

Your team learns to pick from every major provider.

OpenAIAnthropicGoogleMistralCohereMetaQwenNVIDIA+ open-source

The Build-First Method

Most AI training teaches theory. We skip it.

Your team doesn't need another slide deck about what AI can do. They need to build something real with it. On day one. On the work they're actually doing.

The Build-First Method is how we get there. Every workshop ends with working agents, automated workflows, and a team that actually uses what they built.

01

Start with their real work

We don't use sample data. Your team brings the actual reports, emails, and workflows that eat their time.

02

Build something small first

A working agent in 90 minutes. Real output, not a tutorial. This is where the 'AI is overhyped' skepticism dies.

03

Automate a full deliverable

Pick a weekly report, recap, or proposal. Your team automates it end-to-end with human review where it matters.

04

Leave with a roadmap

A prioritised list of the next 10 things to automate, ranked by impact. Your team leaves with everything they built and a clear plan for what comes next.

Four skills. Every session.

Each one changes how your firm works, starting Monday.

Choose the right AI for the job

Not every task needs the same model. Your team learns which AI to use for research vs drafting vs analysis vs data extraction, so they stop guessing and start shipping.

Outcome: Your team picks the right tool in seconds, not hours of trial and error.

Build AI agents that do the repetitive work

Due diligence bots, intake form processors, client onboarding flows. Your team learns to build no-code agents that handle the tasks nobody wants to do.

Outcome: Every participant ships a working agent before the training ends.

Automate client deliverables

Turn 3-hour client reports into 15-minute reviews. Meeting recaps, compliance summaries, proposal drafts. Your team learns to build repeatable AI workflows for the work that actually matters.

Outcome: At least 3 automated workflows your team can use on Monday.

Use AI safely with client data

Professional services firms can't paste client data into any chatbot. Your team learns what's safe, what's not, and how to set up compliant workflows that won't get you in trouble.

Outcome: A ready-to-use AI policy document for your firm.

Inside the workshop.

Six topics. All hands-on. All on your real work.

AI fundamentals

How LLMs actually work, what they're good and bad at, why context matters. No PhD-level theory — just enough to use AI well.

Outcome: Your team stops fearing AI and starts experimenting confidently.

Model selection

OpenAI, Anthropic, Google, Mistral, Cohere, Meta, Qwen, NVIDIA, open-source. Reasoning vs creative vs analytical tasks. Cost vs capability tradeoffs.

Outcome: Your team picks the right model for each task in seconds, not hours of trial and error.

Prompt engineering for client work

Templates for the work your team actually does. Memos, summaries, analyses, proposals, recaps.

Outcome: Consistent, high-quality output every time — not random results.

Building AI agents

No-code agent design. Triggers, actions, integrations. Build agents that handle the repetitive workflows.

Outcome: Every participant ships their first working agent during the session.

Workflow automation

Connecting AI to your existing stack. Automating reports, intake, emails, research, follow-ups.

Outcome: At least 3 automated workflows your team uses on Monday.

AI safety and compliance

What's safe to share with AI, what's not. Building AI policies. Avoiding GDPR, client data, and regulatory risks.

Outcome: A ready-to-use AI policy document for your firm.

FormatLive workshops, half or full day, remote or in-person, up to 30 people.

What firms say after the workshop.

4.8 average rating across 30+ workshops. Trained teams in finance, accounting, advisory, PE, and consulting.

I went from no idea to MVP in literally one weekend exactly as promised.

Aaron Thompson

Workshop participant ·

The masterclasses are brilliant — the team demonstrates how to build and implement AI tools step-by-step, breaking down complex concepts into digestible pieces. Accessible and practical for everyone, regardless of technical background.

Dörte Dye

Workshop participant ·

LaunchLemonade completely took away the huge learning curve. I had our own AI agents built within a few hours.

Judy Leung

Workshop participant ·

Built for professional services teams.

Partners, managers, and associates at accounting, advisory, consulting, and legal firms. No technical background required. If your team can use email, they can build AI agents.

Accounting firmsAdvisory practicesConsulting firmsLegal teamsFractional CFOs

A typical half-day session

Four hours, fully customisable. We tailor every session to your firm's real workflows.

Hour 1

AI overview and basic use cases

Where AI fits in professional services. The capabilities, the limits, and the use cases that matter for your team.

Hour 2

LLMs and how to choose them

Hands-on with models from OpenAI, Anthropic, Google, Mistral, Cohere, Qwen, and open-source. When to use what, and why your team has been guessing wrong.

Hour 3

Top use cases: research and analysis

Hands-on with the highest-leverage workflows for professional services. Document review, market research, summarisation.

Hour 4

Build your first agents

Every participant builds a working agent for a real workflow from their firm. Walk out with something live.

Your trainers

Cien Solon

CEO, LaunchLemonade

Cien has trained global teams at professional services firms on AI adoption, workflow automation, and agent development. He focuses on translating AI capabilities into real business outcomes.

Joe Leung

CTO, LaunchLemonade

Joe is the technical architect behind LaunchLemonade's AI platform. He leads the hands-on agent building sessions, teaching teams to build production-ready AI agents without writing code.

Common questions

Get your team building with AI.

30-minute call. No pitch. Just listening.

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