Compare eight agencies by AI workflow, product design and implementation scope, with source links and questions to ask before hiring.
An AI design agency can help you improve a design workflow, design an AI product interface or build software with AI features. Those are different engagements. For buyers in Singapore, Malaysia and the wider region, the useful question is which team has evidence relevant to the work you need.
Editorial disclosure: Zensite publishes this guide and is included in it. This is a shortlist based on public service and project pages reviewed on 7 September 2026, not an independent ranking or a claim that we tested each agency’s delivery. The order does not indicate quality. India-based teams are included as regional options; confirm local availability directly.
Zensite works in Singapore and Malaysia and has operated since 2022. Our AI-assisted design service covers design workflow audits, Figma and MCP setup, prototypes and team handover. This scope suits teams that want to make an existing design process more practical with AI. Discuss the workflow and required access before choosing tools; production AI engineering needs a separately defined scope.
Onething’s website describes agentic experience design alongside UI/UX, branding and development. It also presents projects for AI-enabled talent verification and communication products. This makes it an option to investigate for product-interface work involving human and AI collaboration. Review Onething’s services and projects.
Lollypop’s AI product design page describes conversational interfaces, AI agent interfaces and MCP-connected workflow design. It discusses connection visibility, permissions and human override patterns. Ask to see a relevant project and the testing behind these interaction decisions. Review Lollypop’s AI UX design service.
Singapore-based Codigo lists AI Products and AI MVP services alongside UX, mobile and web development. Its descriptions cover choosing a use case and the architecture, integrations, testing and deployment needed to develop it. It is an option to explore when design and implementation must work together. Review Codigo’s service scope.
Seven Peaks lists product discovery, service design, UX/UI, development and quality assurance, together with data foundations and AI innovation. Compare its proposed delivery team and responsibilities if your brief spans product design, engineering and data systems. Review Seven Peaks’ delivery services.
Kyanon Digital lists software development, generative AI development, machine learning and AI integration. Buyers with a substantial technical integration brief can use those service areas as a starting point, then request evidence for their particular platform and data requirements. Review Kyanon Digital’s capabilities.
Flowtrix positions its work around B2B and AI businesses, with branding, product and web design, Figma-to-Webflow development and SEO services. Consider this category when your main need is explaining and marketing an AI product, rather than building its underlying AI system. Review Flowtrix’s services and portfolio.
ALF describes a UX-focused web design and Webflow practice and publishes guidance on AI’s role in design and search. It is a website-design option to compare. Educational AI content alone does not establish a custom AI engineering or MCP integration service; confirm those requirements directly. Review ALF’s services and insights.
The following is an illustrative brief you can adapt, not a completed client case study: connect an approved Figma file to a supported AI client and use one existing user journey to test the workflow.
Figma’s official MCP documentation explains how its server provides design context to AI clients and supports design-to-code workflows. Available features depend on the client and setup. A connection is only one part of a usable design process.
SEO, AEO and GEO are often used when discussing visibility in search and generated answers. For Google AI Overviews and AI Mode, Google says normal SEO practices still apply and there is no special schema requirement. Clear, useful content and accurate structured data matter; a list of tools or schema types does not guarantee inclusion. Read Google’s guidance on AI features and websites.
For a website project, ask how the agency will handle crawlable pages, content structure, internal links, source attribution and measurement. For a design-workflow project, assess the workflow itself rather than treating the agency’s search visibility as proof of delivery quality.
Start with the work you need: design workflow improvement, an AI product interface, or software implementation. Compare relevant work, the proposed deliverables, the people doing the work and how they will test and hand over the result.
Zensite’s scope covers design workflow audits, Figma and MCP setup, prototypes and team handover. The tools, access and deliverables are agreed around your team’s existing workflow.
No. Connecting Figma design context to a supported AI client is a workflow integration. Building an AI product also requires decisions about the model, data, interface, evaluation, engineering and ongoing operation.
Google says its usual SEO guidance applies to AI Overviews and AI Mode, with no special schema requirement. Structured data should accurately describe the visible content; it does not guarantee a citation.
If your team needs a design workflow audit, Figma and MCP setup, prototypes or handover guidance, explore Zensite’s AI-assisted design service and tell us about the workflow you want to improve.
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David is the founder of Zensite, a product design agency based in Singapore. Since 2016, David have been involved in many UI UX related topics covering user experience, product design, digital experience and also founded Friends of Figma, a Figma Community in Malaysia.
Fay Mira is an MD with digital health experience and expertise in UI/UX based in Malaysia. With her experience working with a health tech company, she is currently the experience designer in Zensite since 2016.
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