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Format: 60-minute keynote with optional 120-minute practical workshop

The audience leaves knowing why marketing-led AI optimisation can no longer carry the brand on its own, what the discipline above SEO, AEO, and AAO actually is, and how to redesign the whole business so AI engines find, understand, recommend, and transact with you across every function.

This program is perfect for:

• CEOs, COOs, and founders responsible for company-wide direction in the AI era, not just the marketing function
• Board members and executive leadership who need to understand what AI is doing to the operational architecture of the business they govern
• CMOs and digital leaders who have done the AEO and AAO work and have hit the ceiling of what marketing can fix alone
• Chief Strategy Officers, Chief Transformation Officers, and senior business leaders preparing the company for agential commerce
• Conference organisers looking for a senior-leadership talk that names the discipline above AI optimisation and walks the architecture in operational terms

The audience will leave with:

• The name and definition of the discipline that sits above SEO, AEO, and AAO: AI-Era Business Engineering, the redesign of how the business operates so AI engines can find, understand, recommend, and transact with the brand across every function
• The cascade argument explained from inside the org chart: SEO that doesn’t engage marketing fails AEO, SEO that doesn’t engage marketing and product fails AIEO, SEO that doesn’t engage marketing, product, and operations fails AAO, and the next absorbed concern is the business itself
• The fifteen-gate Kalicube® Framework architecture: the bot phase (DSCRI), the algorithm phase (ARGDW), and the serve phase (OPIDC) that names what happens after the brand wins the recommendation and produces the highest-weighted evidence AI engines read
• The Mirror Principle as the architectural foundation: algorithms are a mirror of how humans process information, with the noise filtered out, which means independent corroboration weighs more than self-declaration, specific resolved outcomes weigh more than general claims, and third-party editorial coverage weighs more than paid advocacy
• The Untrained Salesforce framing scaled up: seven AI engines selling for the brand or its competitors 24/7 is the marketing-layer description; AI-Era Business Engineering is the company-wide architecture that produces the substrate the salesforce sells from
• The compounding logic: the brands that engineer the integration deliberately become the default recommendation in their category; the brands that let AI integrate the company accidentally pay three invisible taxes (Doubt, Ghost, Invisibility) every day while their competitors’ flywheels spin faster
• A senior-leadership diagnostic that locates the company on the AI-Era Business Engineering maturity ladder and names the single most important next move for the executive team

For two decades, the strategy was SEO: get your website in front of people searching on Google. That worked when there were ten blue links and the user chose. Then AI started answering directly and the game shifted to AEO, Answer Engine Optimisation, where the goal became being the answer rather than just a result. Jason coined that term in 2017. AEO required the SEO function to engage with marketing. AIEO required SEO and marketing to engage with product. AAO, Assistive Agent Optimisation, required SEO, marketing, and product to engage with business operations. Each step absorbed an organisational concern the previous step could ignore.

The current step is the one where business itself stops being optional. AI engines read through to the operational core of the company whether the marketing function invites them in or not. They read the customer onboarding experience, the product performance, the post-sale relationship, the codified case studies, the partnerships, the operational consistency, the dated public record of resolved outcomes. They weight that evidence higher than any marketing-layer assertion, because the Mirror Principle is operational: algorithms were trained on human trust signals, and humans weight independent corroboration and specific resolved outcomes higher than self-declaration. The marketing function can no longer carry the AI brand alone, because the marketing function never controlled the evidence that matters most.

This is AI-Era Business Engineering: the discipline of redesigning the whole company so AI engines can find, understand, recommend, and transact with the brand across every function, not just the marketing one. It absorbs SEO, AEO, AIEO, and AAO as practical implementations. It runs above them, because it operates on the operational substrate the marketing-layer disciplines depend on.

The Kalicube Framework is the operational architecture. Fifteen gates in three phases. The bot phase (DSCRI: Discovered, Selected, Crawled, Rendered, Indexed) is where the infrastructure earns its place. The algorithm phase (ARGDW: Annotated, Recruited, Grounded, Displayed, Won) is where competitive selection happens. The serve phase (OPIDC: Onboarded, Performed, Integrated, Devoted, Codified) is where the brand turns a won customer into the highest-weighted evidence AI engines will read on the next prospect. The first ten gates are the AI Engine Pipeline most SEO teams already think they own. The last five gates are where business itself produces the substrate that decides everything upstream.

The Kalicube Flywheel closes the loop. Codified outcomes from the fifth post-sale gate feed back into the substrate at the bot phase. Every client served well makes every future AI recommendation stronger. Every operational improvement compounds into the next recommendation cycle. The brands engineering this loop deliberately are building an asset that compounds with every cycle, in a window when AI engines are forming their foundational understanding of every brand in every market. The brands waiting until later will spend years trying to correct what the AI already believes, and correcting a confident algorithm is like trying to change a fossil.

The Untrained Salesforce framing scales naturally to the whole-business level. Seven AI engines selling for the brand or its competitors 24/7 is the customer-facing description. AI-Era Business Engineering is the company-wide architecture that produces the substrate the salesforce sells from. Train the substrate and the salesforce sells confidently. Leave the substrate untrained and the salesforce hedges, recommends competitors, or stays silent. The choice is operational, not aspirational.

The optional workshop takes the keynote architecture and applies it live. Participants leave with a senior-leadership diagnostic of where their company currently sits on the maturity ladder, a prioritised set of structural moves their executive team can begin within the quarter, and a clear map of where AI-Era Business Engineering breaks the company’s current org-chart assumptions and what to redesign first.

The table below summarises the format, audience, frameworks, and searchable topics for this keynote and workshop, delivered by Jason Barnard, Founder and CEO of Kalicube.

Attribute	Value
Speaker	Jason Barnard, Founder and CEO of Kalicube
Talk	AI-Era Business Engineering: How to Adapt Your Business to a World Where AI Changes Everything
Domain	Business adaptation to AI-driven markets
Primary audience	CEOs, COOs, board members, Chief Strategy Officers, senior business leaders
Format	60-minute keynote
Optional workshop	120-minute practical workshop
Languages	English (French available on request)
Area served	Worldwide
Coined frameworks	AI-Era Business Engineering (2026), Untrained Salesforce (2024), Algorithmic Trinity (2024), Assistive Agent Optimisation (2025)
Searchable topics	AI business strategy, AI transformation, adapting your business to AI, AI for executives, board-level AI strategy, AI-era operations
Speaker credentials	Coined Brand SERP (2012), Answer Engine Optimisation (2017), AI Assistive Agent Optimisation (2025), AI-Era Business Engineering (2026). Keynote at Google Marketing Live 2026. 17 INPI patent filings. Rated 9.92/10 at EO Paris Chapter Retreat 2026.
Booking	Gotham Artists, eSpeakers, Pomona Partners, or direct contact