Speaking · keynotes, panels, workshops, briefings

AI strategy talks for leaders who need execution clarity.

Four talks on moving from AI pressure to focused product strategy, better operating models, and measurable transformation work — each one built on a published argument you can read first.

Request a session → Read the point of view
Talks

Four abstracts, ready to book.

Each one is tailored to your audience and context, but this is the shape: the argument, what the room leaves with, who it is for, and how long it runs.

01

AI strategy for leaders

Most executive teams are running twenty AI experiments and can name the business case for none of them. This talk gives leadership teams a way to separate AI bets worth funding from scattered activity: how to read the organisation’s actual readiness, where the value sits in a workflow, and what a defensible AI roadmap looks like when the technology keeps moving underneath it.

What the room leaves with

  • A five-dimension read on whether your organisation is ready to spend on AI at all
  • The filter that separates a fundable AI bet from an interesting demo
  • How to structure a portfolio of probabilistic bets instead of a feature roadmap

Audience: Boards, executive teams, and operating partners
Length: 30–45 minute keynote, or a 90-minute working session

Read the argument: The AI Readiness Score →
02

The CPO in the AI era

The Chief Product Officer role is being repriced. Roadmap stewardship and feature-factory management are losing value fast; four other jobs are gaining it. This talk walks product leaders through what the role becomes when models are probabilistic, quality is an eval problem, and every feature carries variable cost of goods.

What the room leaves with

  • The four jobs that are gaining value — portfolio allocator, quality owner, margin steward, trust architect
  • Why quality bars become evals, and what a product leader owns in that shift
  • What to stop doing, in concrete calendar terms, to make room for the new work

Audience: Product leadership teams, CPO forums, product conferences
Length: 30–45 minute keynote, or a panel-ready 20-minute version

Read the argument: The Four Jobs of a SaaS CPO in the AI Era →
03

From ambition to execution

Enterprise AI pilots rarely fail outright — they simply never end. This talk takes the six ways pilots stall between demo and deployment and replaces them with a 90-day structure that forces a genuine scale-or-kill decision: a named workflow owner, a measured baseline, an agreed quality bar, and a date.

What the room leaves with

  • The six failure modes that keep pilots alive but unshipped
  • How to set a quality bar and a baseline before the pilot starts, not after
  • The 90-day cadence that ends in a real scale-or-kill decision

Audience: Transformation leaders, delivery organisations, mixed business and technical rooms
Length: 45-minute session, or a half-day workshop with your own pilot on the table

Read the argument: Why Enterprise AI Pilots Die →
04

Product-led transformation

AI-native is not a property of the product. It is a property of the operating model. This talk covers the five shifts — from roadmaps to bet portfolios, specs to evals, launches to learning rate, org charts to capability density — that decide whether a company compounds with AI or just demos it.

What the room leaves with

  • The five operating-model shifts, and the order to attempt them in
  • How prioritisation, metrics, and decision rights have to change together
  • What learning rate is, and how to manage it as a number

Audience: Executive teams and transformation offices at mid-market and enterprise scale
Length: 45-minute keynote, or a half-day leadership workshop

Read the argument: The AI-Native Product Operating Model →
Speaker pack

Everything your programme team needs.

Bios and headshot for programmes, run-of-show documents, and event sites.

Short bio — 40 words

Kevin Owens is a four-time SaaS Chief Product Officer who has led product organisations across SaaS and data businesses. He now advises leadership teams on AI product strategy, operating-model change, and turning AI ambition into products that ship.

Long bio — 110 words

Kevin Owens is a four-time Chief Product Officer and advisor working at the intersection of AI and enterprise software. Across a career in SaaS and data businesses he has built and run product organisations through platform rewrites, market repositioning, and the arrival of AI as a core capability rather than a feature. He writes on the AI-native product operating model, the changing shape of the CPO role, and why enterprise AI pilots stall between demo and deployment. Through ProductExec, Enterprise AI Studio, and Smart Biz AI Hub he works with executive teams on strategy, implementation, and the operating changes that make AI investment compound instead of accumulate.

Full pack

A downloadable one-page PDF — bios, headshot, the four abstracts, and AV requirements — is not published yet. Ask in the booking form below and it comes back by email.

Past talks

Where these have been delivered.

References from previous organisers on request.

Booking

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Audience, format, timing, and the business problem the session should help clarify — that is enough to give you a straight yes or no quickly.