AI is transforming every industry, but most organizations struggle to move from experimentation to measurable impact. I help founders, executives, governments and product teams identify high-value AI opportunities, design practical solutions and integrate AI into products, workflows and strategy.
I'm Eno Peters, an AI Product Strategist passionate about helping organizations navigate the next era of technology.
My work combines product management, artificial intelligence, business strategy and innovation to help teams move beyond AI hype and build solutions that create measurable business value.
I advise founders, mentor product professionals, speak at conferences and lead conversations on the future of AI across healthcare, education, governance, agriculture, mobility and financial services.
My mission is to help Africa become a creator, not just a consumer, of AI innovation.
Engagements range from a single strategy session to multi-month advisory retainers, keynote speaking and executive workshops.
Discover, validate and prioritize AI opportunities that solve real business problems, not demos.
Redesign operations and workflows with AI so teams ship faster, spend less and serve more.
Integrate AI into operations, products and customer experiences with a clear path to measurable value.
Trusted counsel for executives making high-stakes AI decisions, from portfolio strategy to build vs. buy.
Interactive training for product teams, founders, business leaders and institutions. Hands-on and applied.
Keynotes on AI, Product Management, Digital Transformation, Innovation and the Future of Work.
Helping startups build scalable products from first principles, from idea to shipped execution.
Short essays from the field. Click a note to read it in full.
Most organizations I meet are not short on AI ideas. They are short on AI decisions. Their teams have run pilots, tested tools, subscribed to platforms and generated impressive demos. Yet nothing has meaningfully changed how the business operates, competes or serves customers. The gap is not talent or budget. It is the absence of a decision-making frame that connects an AI capability to a business outcome.
The organizations that move from experimentation to impact do three things differently. First, they anchor every AI initiative to a specific business metric that a real person is accountable for. Not a technology metric. Not a research metric. A metric that would show up in a board pack. Second, they invest in the workflow around the model, not just the model. The model is often the smallest part of the value chain. The data pipes, the human review steps, the exception handling, the change management, that is where the value gets captured or lost. Third, they treat AI as a product, not a project. Products have owners, roadmaps, lifecycles and feedback loops. Projects end. AI value does not end, it compounds.
If your organization is stuck in a loop of promising pilots and disappointing outcomes, the fix is rarely a bigger model. It is a smaller, sharper question, owned by a single accountable leader, connected to a workflow you are willing to actually change.
Available for conferences, executive off-sites, university programmes and closed-door leadership sessions, in person or remote.
Invite Eno to speak →"AI doesn't create value simply because it's intelligent. It creates value when it helps people make better decisions, build better products, and solve meaningful problems."
The best way to reach me is by email. Share a little about your organization, what you are trying to solve, and the kind of engagement you have in mind (advisory, workshop, keynote or collaboration). I read every message personally.