AI and digital change, made practical.

3 Screens is a Hong Kong-based strategic advisory and digital agency founded in 2009. We work across AI and digital strategy, communications and workflow transformation, and leadership and team capability. Our services include GEO, SEO, performance media, content operations, corporate training, ongoing advisory and hands-on implementation.

We combine senior advice with practical delivery. Patrick leads every engagement, works directly with leadership and stays close when plans move into real work. The model is flexible. We can advise, train, coordinate, pilot or deliver, adding specialists only when their expertise is useful.

Look for someone who can connect business decisions with implementation, explain technology clearly, understand governance and communications risk, and work comfortably with both senior leaders and delivery teams. Hong Kong knowledge matters when the work depends on local audiences, operating practices and partners. APAC experience matters when the remit crosses markets.

We are most useful when a challenge crosses strategy, communications, technology and people, or when an organisation needs senior judgment without building a large new team. Typical needs include setting an AI or digital roadmap, improving workflows, aligning teams and agencies, strengthening search and AI visibility, building team capability, or getting a priority project into market.

Yes. We can work alongside internal leaders, delivery teams, agencies and specialists. We help clarify decisions, roles, briefs, measures and handoffs; review plans and outputs; and add expertise where there is a gap. The aim is to help the whole team work better while keeping effective partner relationships in place.

Corporate AI training helps people use AI safely and effectively in their work. It can cover AI fundamentals, generative AI tools such as ChatGPT and Copilot, prompt writing, research and content tasks, workflow improvement, accuracy, privacy and responsible use. The content can be designed for boards, senior leaders, managers, marketing and communications teams, or wider groups of employees, with the depth adjusted to their roles.

A senior leadership AI workshop should focus less on tool demonstrations and more on business choices. It should help leaders understand what AI can and cannot do, identify useful opportunities, assess risk and readiness, decide governance and ownership, and agree what to test next. The session should leave the team with decisions or a short action plan, not just awareness.

Yes. A tailored programme can use real tasks such as audience research, content briefs, drafting and editing, presentations, campaign planning, SEO and GEO, brand review and crisis preparation. It should also cover source checking, copyright, privacy, confidential information, human approval and brand voice. We adapt the examples and exercises to the team’s work and level of experience.

No. Most business users and senior leaders need a clear understanding of AI’s capabilities, risks, workflows and the judgment required to use it well. Training can start at beginner level and become more advanced where a team needs automation, data analysis or customised workflows.

Yes. We design customised executive briefings, leadership workshops and team training around the organisation’s roles, workflows, documents and decisions. Senior sessions focus on judgment, priorities, governance and accountability. Hands-on sessions use recognisable examples and exercises so participants leave with useful outputs—not just a tour of tools.

Start with the audience and the outcome you need. An executive briefing works well when leaders need a shared understanding and clear choices. A hands-on workshop suits teams that need to practise on real tasks. A longer programme is useful when an organisation wants to build capability across roles or embed new ways of working over time.

Yes. Training can cover approved tools and data, confidential and personal information, copyright, bias, accuracy, human oversight and escalation. The aim is to turn policies into practical decisions people can apply to their daily work, with examples and guardrails that reflect the organisation.

Connect the training to specific roles, workflows and outputs, with time to practise and clear guidance on what people can use immediately. Follow-through can include templates, prompt libraries, workflow guides, pilots, office hours or review sessions, supported by clear owners and measures. The goal is better working practice, not attendance alone.

Start with a specific business decision or workflow rather than a list of tools. We assess value, risk, readiness and ownership; select a small number of priorities; define governance and measures; and turn them into a phased roadmap with accountable owners. The result is a plan leadership can explain, fund and put into practice—not a generic AI wish list.

Start with real work, not a catalogue of tools. Compare possible use cases by business value, frequency, data sensitivity, cost of error, readiness and clear ownership. Prioritise a small number where the benefit is meaningful and the controls are practical, then test them on real work before scaling.

We map the current workflow, identify where AI can help, separate lower-risk from higher-risk tasks, define approved tools and data, and keep human review at the right points. We test the approach on real work before documenting roles, quality checks, escalation paths and measures—and handing the workflow to accountable owners.

Define which tasks, tools and data are approved. Separate public, internal and confidential information. Set rules for sources, fact-checking, brand review and disclosure, and keep human approval for external or higher-risk outputs. Start with a controlled pilot, record errors and exceptions, and improve the workflow before wider adoption.

Give leaders and working teams a shared view of the decisions, opportunities, risks, priorities and ownership. Executive briefings create direction. Working sessions translate that direction into workflows, responsibilities, guardrails, training and measures. We can facilitate both so leadership intent becomes day-to-day practice.

We benchmark relevant questions across AI platforms, identify gaps in visibility and citations, clarify the organisation and its claims, improve technical accessibility and structured data, strengthen first-party content and credible third-party authority, and then retest the answers over time. This is generative engine optimisation, or GEO.

A page built for GEO should be useful and clear before it is technical. It should answer a real audience question directly. It should describe the organisation, people, services and locations consistently, use descriptive headings and accessible lists, follow a logical reading order and support important claims with specific evidence. The page should also be easy to crawl, with relevant internal links, accurate metadata and structured data where appropriate. These technical signals help search and AI systems interpret the content, but they do not make weak or unsupported content authoritative.

GEO is a common name for improving visibility in AI-generated search and answer experiences. It does not replace SEO: Google’s generative AI features still rely on core Search ranking and quality systems. In practice, 3 Screens combines sound SEO with clearer entity information, useful expert content, credible supporting evidence and testing across relevant AI platforms.

No. AI platforms change their models, retrieval systems and sources, and they generate different answers for different contexts. Good GEO improves the clarity, evidence, authority and availability of your information. It strengthens the odds; it cannot guarantee a citation or recommendation.

Yes. We can work as an ongoing or embedded senior advisor, providing independent judgment, joining key meetings, reviewing decisions and deliverables, and helping internal teams and external partners stay aligned. The scope and time commitment are agreed around your actual need.

Yes. We can assess an existing strategy, roadmap, agency scope, workflow or programme rather than start again. We keep what is sound, identify gaps and conflicting priorities, and turn the review into clear actions. Support can continue through pilots, implementation, training, digital execution and measurement where useful.

Yes. We continue to support established digital work including SEO, performance media, content, social media and website projects. These services can stand alone or support a wider AI and digital transformation programme.

Yes. An engagement can start with an executive briefing, decision workshop, discovery review, roadmap, audit or pilot. This gives the organisation a useful output and clearer evidence before deciding whether a broader programme or ongoing advisory relationship is needed.

Patrick Tam leads every engagement and stays close to the work. Depending on the need, he adds trusted specialists across technology, media, design, content, production and research.

We are based in Hong Kong and work with organisations across Asia Pacific and international markets. Engagements can be in person, remote or a blend of both.