AI-Driven Marketing & Brand Strategy in Regulated Markets
WORKSHOPS · 08 · HALF-DAY COURSE
WORKSHOPS · 08 · HALF-DAY COURSE
AI-Driven Marketing & Brand Strategy in Regulated Markets
A four-hour session for CMOs, brand and marketing leaders evaluating a real campaign or market-entry decision for AI-driven marketing and communications tooling. Participants leave with an AI-tooling audit, a brand-safety checklist, and a board-ready go-to-market plan for their own market or campaign.
You leave with
- AI-tooling audit
- Brand-safety checklist
- Go-to-market plan
- 90-day rollout plan
Duration
4 hours, single session
Format
In-person or virtual
Cohort size
Max 24 participants
Requires
One brand, campaign or market-entry decision
Facilitator
Chief Marketing Officer & Global Brand Strategist, 20+ years
Led marketing at
BullSwipe, The AWHL Group, The Coal Group
CPD / CPE hours
4 CPD hours
Certificate on completion
Certificate of Completion, Praxora Lab
Overview
Marketing's AI adoption is accelerating faster than the regulatory guardrails around it
The CMO Survey, run by Deloitte, Duke University's Fuqua School of Business and the American Marketing Association, finds marketing organisations currently use AI in only 17.2 percent of their optimisation and automation efforts on average, but expect that to reach 44.2 percent within three years, a near-tripling most brand-safety and compliance processes are not yet built for. The UK's Advertising Standards Authority notes there is no blanket legal requirement to disclose AI use in an ad, but existing advertising codes still apply in full regardless of whether AI produced the content, and disclosure alone will not excuse a fundamentally misleading claim. Gartner's own guidance to CMOs is to move past a pure productivity mindset and put explicit legal, ethical and data-privacy guardrails around AI use before scaling it.
Yong Yau Goh built this course from twenty years constructing go-to-market architecture across Africa, the Middle East, Latin America and Asia, markets where a claim has to hold across multiple regulatory regimes at once, not one home market. Participants leave with an AI-tooling audit showing where automation is safe to use in their own marketing function, and a brand-safety checklist for the jurisdictions the decision actually has to survive.
Why Praxora
Why this, not a platform
A go-to-market plan cleared for a regulated market, not just a creative brief.
-
Practitioner-led, not faculty-assigned
Yong Yau Goh teaches this course because he built go-to-market architecture for a multi-jurisdiction fintech himself, not from a marketing-agency playbook.
-
A named framework, not a licensed template
Built on the same brand-safety and boardroom-advisory discipline he uses across Africa, the Middle East, Latin America and Asia.
-
One real, produced output — not a case study
Every session ends with an AI-tooling audit and a board-ready go-to-market plan for the decision you bring in.
-
A small, capped cohort
Max 24 participants, so the room works from a real brand or market-entry decision, not a case study.
-
Built on institutions that already trust it
Built from twenty years leading regional marketing teams across five business verticals and four continents.
-
One focused session — not an 18-week course
4 hours, one session. No cohort waitlist, no months of drip-fed modules.
Key takeaways
What participants leave with
-
An AI-tooling audit of the marketing function in question, showing where automation is safe to use and where it isn't.
-
A brand-safety checklist for operating in a regulated or multi-jurisdiction market.
-
A board-ready go-to-market plan for one campaign or market-entry decision.
-
A 90-day rollout plan positioned for a CEO or board, not a marketing department alone.
See a full sample of these documents › Filled out for a fictional company, so you can judge the format before enquiring.
Objective
Evaluate one brand or go-to-market decision for AI-driven marketing and communications tooling, and build a brand-safe deployment plan defensible in a regulated or multi-jurisdiction market.
Participants bring one brand, campaign or market-entry decision. The session works from Yong Yau Goh's own experience building go-to-market architecture for a multi-jurisdiction fintech and leading regional marketing teams across five business verticals, applying the same brand-positioning and boardroom-advisory discipline to the room's own decision.
Award-winning branding, communications and marketing leader with more than two decades of experience across fintech, wellness and agency environments in Asia, Africa, the Middle East and Latin America, now researching AI-driven marketing technology at the doctoral level.
Why this course
I started my career as a journalist, writing about real estate and corporate affairs for a newspaper that would not print a claim I could not back up with a source. That discipline has never left me, and it is exactly what worries me about how quickly generative AI has entered marketing: a tool that can produce a confident-sounding campaign in minutes does not care whether the claim underneath it is one a regulator, or a board, would actually let you make.
I built this course because I have sat in rooms across Cyprus, Nigeria, the Philippines and Singapore watching brand teams treat AI tooling as a shortcut to volume, right up until it produced something that could not run in a regulated market without legal sign-off nobody had budgeted time for. My doctoral research is on exactly this gap, and I did not want to wait for the dissertation to finish before I started teaching what I already know from twenty years of building go-to-market architecture across some of the world's more complicated regulatory landscapes. This is the course I wish someone had handed me when I first watched a beautifully produced campaign get pulled the week before launch.
Syllabus
Six segments across four hours
Left with an AI-tooling audit for one real marketing function, a brand-safety checklist, and a board-ready go-to-market plan for one campaign or market entry, checked against regulatory and brand-risk constraints.
-
20 min
Framing
The brand or market-entry decision in the room.
- One real brand, campaign or market-entry decision, named up front
- Which markets and regulatory regimes the decision has to survive
- What a legal or compliance sign-off would already flag about it
OutputDecision brief
-
55 min
Where AI actually earns its place
Content production, market intelligence and channel targeting, audited against what a regulated or multi-jurisdiction brand can safely automate.
- Content production, market intelligence and channel targeting, audited function by function
- What a regulated or multi-jurisdiction brand can safely automate, and what it can't
- Where AI tooling adds volume without adding risk, and where it does the opposite
OutputAI-tooling audit
-
15 min
Break
-
1 hr
Brand-safety and regulatory guardrails
What changes in a multi-jurisdiction, regulated environment, drawn from building go-to-market architecture across Africa, the Middle East, Latin America and Asia.
- What actually changes when a claim has to hold across multiple jurisdictions at once
- Guardrails drawn from building go-to-market architecture across Africa, the Middle East, Latin America and Asia
- The brand-safety checklist a fast-moving campaign usually skips
OutputBrand-safety checklist
-
1 hr
The boardroom case
Positioning the plan for a CEO, board or regional leadership team, not a marketing department alone.
- Positioning the plan for a CEO, board or regional leadership team
- The argument a marketing department alone usually can't make on its own
- What survives the first hard question from someone outside marketing
OutputBoard-ready go-to-market plan
-
30 min
Roadmap and close
- The AI-tooling audit and brand-safety checklist brought into one plan
- A 90-day rollout plan, positioned for a CEO or board, not marketing alone
Output90-day rollout plan
Who should attend
Brand ownership, across one or many markets
-
CMOs & brand leaders
CMOs and brand leaders evaluating AI tooling for a real campaign or market-entry decision.
-
Marketing & comms leaders
Marketing and communications leaders operating across multiple regulatory jurisdictions.
-
Boards & CEOs
Boards and CEOs who need a defensible, not just an ambitious, marketing AI plan.
Facilitator
Yong Yau Goh
Chief Marketing Officer & Global Brand Strategist
Two decades of brand leadership now turned toward how AI is reshaping marketing and communications itself.
Read the full profile ›Common questions
Before you enquire
-
Is this for the marketing team, or for leadership?
Built for whoever owns the brand or market-entry decision. A marketing lead attending alongside a board sponsor or CEO tends to produce the most useful go-to-market plan, since the boardroom-case segment is built for that audience.
-
Does the session recommend specific AI marketing tools?
No. It audits categories of AI tooling, content production, market intelligence and channel targeting, against brand-safety and regulatory constraints, not a vendor shortlist for procurement.
-
What counts as a "regulated or multi-jurisdiction market"?
Financial services, health and wellness, or any brand operating across multiple regulatory regimes at once, drawn from Yong Yau Goh's own experience building go-to-market architecture for a multi-jurisdiction fintech and a regional wellness group.
-
What should participants prepare in advance?
One real brand, campaign or market-entry decision, with a rough sense of the markets and regulatory constraints involved. No reading or technical prep needed.
-
Is there a discount for sending more than one person, or booking more than one course?
Yes. Organisations sending leadership through more than one course, or through a course and its integrated programme, get a combined rate rather than separate bookings. See the corporate and bulk enrolment section on the workshops page, or raise it directly in your enquiry.
-
What if I need to cancel, defer or a session is rescheduled?
Full terms for individual, open-cohort and corporate in-house bookings, including deferral windows and what happens if Praxora Lab cancels a session, are set out in the refund and cancellation policy.
-
What happens after the session ends?
Every cohort joins a standing network of practitioners and business leaders: ongoing networking events, fireside chats, and case study interviews with business owners and C-suite leaders on AI projects they've recently completed. The named facilitator also stays the point of contact for questions on applying what was covered.
Industry engagement
A network that keeps working after the workshop ends
Every cohort at Praxora Lab joins a standing network of practitioners and business leaders, not a one-off attendee list. Alumni are invited back for ongoing networking events, fireside chats with industry experts, and case study interviews with business owners and C-suite leaders on AI projects they have recently completed, a running view of what adoption actually looks like once the workshop room empties.
The learning experience
A small cohort, led by the practitioner who built the course
Every session is capped at a small cohort and taught in person by the practitioner who built it, not a teaching assistant working from someone else's slides. Participants work against one real team's own workflow rather than a generic case study, and leave with a draft they can put to use immediately.
A named facilitator, not a support desk, stays the point of contact after the session for questions on applying what was covered.
Investment
Open cohort or corporate in-house
Open cohort
On enquiry
Per participant, max 24 participants
- Certificate on completion: Certificate of Completion, Praxora Lab
- Decision brief and AI-tooling audit
- Brand-safety checklist
- Board-ready go-to-market plan
- 90-day rollout plan
Corporate in-house
On enquiry
Fixed programme fee, max 24 participants
- Everything in the open cohort
- Dedicated session for one organisation, on your own brand
- Fixed fee, not priced per head
Full cancellation, deferral and refund terms are set out in the refund and cancellation policy.
Enquire about upcoming dates
