Social media strategy for healthcare organisations and medical professionals in East Africa — covering patient trust architecture, compliance with the Uganda Data Protection and Privacy Act 2019, content strategy for combating health misinformation, patient network engagement, and healthcare crisis communication. Invoke when the client is a hospital, clinic, health NGO, pharmaceutical company, public health department, or individual medical professional building a social media presence, developing a social media policy, or managing a reputational or clinical communication challenge.
Design and implement autonomous AI marketing agent systems using the PRAL, BDI, and OODA frameworks. Invoke when a client is ready to move beyond reactive GenAI prompting to proactive, autonomous marketing workflows, or when planning an AI-first marketing operations architecture.
Generates an operational guide and all supporting content — tool selection rationale, avatar design brief, scripts, use-case plans, and distribution protocol — for deploying AI avatar video at scale in B2B outreach, client communications, and social content production. Invoke when a client wants to use AI-generated video for personalised outreach or branded video content, when production time on talking-head video needs to be reduced, or when a scalable video communications system is being built.
Transforms AI-generated marketing drafts into brand-voiced, human-quality content by applying a structured quality-control process covering vocabulary, cultural localisation, factual accuracy, and voice consistency. Invoke immediately after any AI-assisted draft and before any client delivery — for captions, blog posts, email copy, strategy documents, and proposals.
Transform one piece of long-form content into 10 platform-ready assets using AI tools. Solves the content creation bottleneck for resource-constrained East African marketing teams. Invoke when a client needs more content output from their existing content investment.
Runs a structured pre-delivery audit of AI-generated content — copy, images, and personas — for cultural bias, Western default assumptions, and inaccurate cultural representation, with specific attention to East African and non-Western contexts. Invoke before any AI-assisted deliverable is sent to a client, whenever AI tools have generated content depicting people, communities, or cultural settings, or when an internal review flags that content feels generically "Western" or generically "African" rather than accurately localised.
Audit and prepare client data for AI marketing readiness. Produces a completed data hygiene checklist, a data mapping framework, and a 30-day remediation plan so that the client's data is clean and structured before any AI marketing tool is deployed. Invoke before any AI marketing tool deployment — this skill establishes the data quality foundation that all AI marketing activities depend on. Also invoke when a client reports inconsistent AI outputs, poor personalisation results, or chatbot errors.
Audits a client's existing data assets, designs a customer-focused minimum viable data schema, and produces a 90-day action plan to build the data infrastructure required for AI marketing. Invoke this skill when a client at Canvas Step 1 (Foundation) needs to structure their data before any AI tools can function, or when a client at Step 2–3 discovers data gaps that limit AI effectiveness. Based on Venkatesan and Lecinski (2026) The AI Marketing Canvas, 2nd edition, Stanford Business Books.