Speaking
Keynotes on AI, in plain English.
Ethan Monkhouse builds the AI his own companies run on, then explains it to rooms that don’t code.
Watch him speak.
Inside AI That Can Read Minds
Mailander Cast
From SMMA to a $12M AI platform
WeFoundrs
The AI-First Content Strategy is Wrong
We Live to Build
Talks.
Grouped by who is in the room. Each one tailored to your industry.
Board and executive
The Keys to the Kingdom
The security risks you take on the moment you let AI into the business
Where the real exposure is: staff pasting company data into public AI tools, agents holding live credentials, attackers using the same tools. Ends on a practical checklist.
Financial services, legal, healthcare, government
What Not to Hand Over
Where AI should stop, and who decides
A practical line between what to automate and what stays human, and how to defend that line to a board.
Financial services, healthcare, regulated, public sector
Leadership and people teams
Running a Company on AI
What one founder automated, what he refused to, and what it returned
A working example of a company genuinely run on AI, with the costs and the returns, and what their team changes on Monday.
Tech, SMEs, operations-heavy businesses
Agents Managing Agents
What changes when the work is done by AI agents, not tools
What agentic AI actually is, what it can genuinely run today, where it breaks, and how to think about staffing around it.
Financial services, professional services, enterprise
The Human Premium
What your people are for, once AI does the rest
How to build and manage teams now AI handles routine work, so they get more from the people they already have.
Large employers, professional services, financial services
Commercial and general audiences
Volume Without Slop
How marketing teams use AI to produce far more and still be worth reading
What to automate in a marketing function and what still needs a person, how to run content at volume without wrecking the brand, and how to tell which of it drives revenue rather than likes.
Consumer brands, retail, media, agencies, subscriptions
The Data Shadow
What AI already knows about your customers
A plain explanation of how AI reads and predicts people, and what it means for customer trust.
Retail, consumer brands, media, mixed-audience conferences
Three ways he works a room.
Keynote
30 to 45 minOne clear argument, built like a story, with takeaways people can actually use.
Fireside or panel
FlexibleA conversation, no slides needed. Best for rooms that want to ask questions.
Workshop
Half dayThe format that suits the security and adoption sessions best. Teams leave with a plan for their own business, not a reading list.
- Location
- London, United Kingdom
- Fee band
- £20,000 to £35,000
- Travel
- EMEA, North America, Australia
- Delivery
- In person or virtual
For agents and bureaus.
He works non-exclusively and will co-broker.
In the speaker pack
- AbstractsAll seven talks
- Short and long biosReady to paste
- Hi-res headshotsStage and studio
- FootageKeynote and interviews
- Fee guideBand and travel
Short bio
55 wordsEthan Monkhouse is a London-based founder who builds AI systems for a living. He is the founder of Monkhouse & Partners, and a partner and investor in Knightox where he leads AI strategy. He previously co-founded Naviro. He speaks on AI agents, security, leadership and marketing, in language that does not assume a technical audience.
Long bio
168 wordsEthan Monkhouse is a London-based founder and speaker who builds and operates the AI systems that run his own companies. He is the founder of Monkhouse & Partners, his AI advisory firm, and a partner and investor in Knightox, where he leads AI strategy. He previously founded Typed, an algorithmic marketing agency, and co-founded Naviro, an AI analytics platform for the music industry, which was covered by The Irish Times and Silicon Republic.
He speaks as someone who builds this technology rather than comments on it, which means his talks skip the hype and get to what a business can do next. He covers AI agents and automation, the security exposure that comes with them, what AI changes about leadership and teams, and how marketing works once content is effectively free. His framework, the Human Premium, holds that as AI absorbs the execution of work, the human side becomes the valuable side.
He writes Still Human, Thanks for Asking, a weekly newsletter on the human side of AI.
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