What kind of fractional talent does Rafiki Works provide?
Rafiki provides on-demand fractional engineers, GTM specialists and sales talent for B2B SaaS and financial services companies. The pool is AI-fluent, with deep experience building automation and chat-based flows across WhatsApp, ChatGPT and Claude. Engagements range from a few hours per week through to 3+ days per week.
How AI-fluent is the Rafiki talent pool?
70 percent of the Rafiki talent pool uses ChatGPT and Claude as daily working tools. It's the single most common skill across the entire pool, ahead of every design and engineering tool. The management team is 100 percent proficient in Claude Code, Cursor, Cowork, building custom MCP servers, RAG, vector databases and agentic workflows.
What industries does Rafiki specialise in?
Rafiki has gravitated toward B2B SaaS, financial services and AI. 61 percent of the talent pool serves B2B, 50 percent serves SaaS, 43 percent serves financial services and 33 percent serves AI specifically. We've also delivered work across eCommerce, marketplace, EdTech, PropTech and hospitality tech. Separate sector deep-dives are coming.
Can I send a brief to Rafiki from inside ChatGPT or Claude?
Yes. Our MCP server is live and accessible by enquiry. Once connected to your Claude account or set up as a custom GPT app, you can search the talent pool, view profiles and send briefs directly from chat. End-to-end invoicing and instant bank-to-bank payment from chat is currently in private beta.
How are payments handled?
Payments are processed through Petl Pay, our sister company, which is live in production with real transactions today. Petl Pay supports open banking rails across the UK and EU for instant bank-to-bank settlement, plus stablecoin payment corridors for cross-border work.
What chat surfaces can Rafiki talent build for?
Rafiki talent builds across WhatsApp Business (24 percent of the pool is fluent in WhatsApp for business), ChatGPT and Claude via custom MCP servers, and Slack, Teams and Discord for internal workflow automation. The management team has shipped custom MCP servers in production, including the one powering this page.
What does an engagement typically look like?
Most engagements start with a brief sent via our enquiry form or through the MCP. We return a ranked shortlist within 48 hours, you meet the talent, and engagements begin within the week. Common engagement shapes are fractional CTO, fractional GTM lead, AI implementation specialist, MCP server build, RAG knowledge base build, and chat-channel integration projects.