Scale Your Judgment.
Not Your Meetings.

An AI advisor for CEOs is a software platform that encodes a founder's decision-making frameworks, company knowledge, and leadership philosophy into an AI system. Unlike generic AI tools like ChatGPT, a CEO AI advisor is customized to reflect how a specific leader thinks — enabling their management team to access personalised strategic guidance without requiring the CEO's direct involvement. Francis AI Agent is purpose-built for this use case, serving business leaders across Hong Kong and Asia-Pacific.

ChatGPT and Copilot are general-purpose AI tools trained on public data. Francis AI Agent is trained on your company's specific knowledge: your strategic frameworks, management documents, leadership principles, and company history. Where ChatGPT gives generic business advice, Francis AI Agent gives advice consistent with how you — the CEO — would actually respond. It's the difference between hiring a consultant who has read all the business books versus working with a trusted deputy who has sat in every board meeting.

Not perfectly — and that's not the goal. Francis AI Agent doesn't replace your judgment; it extends it. By encoding your documented frameworks, preferred approaches, and company-specific knowledge, the Agent can handle the 70-80% of strategic questions that follow patterns you've already thought through. Complex, novel situations still benefit from your direct input. The result is that you spend your time on decisions that genuinely need you, while your team handles everything else with confidence.

Initial setup takes 1-2 hours. You upload your core documents (management frameworks, company strategy, key processes), configure the system with your preferences, and invite your team members. The AI Agent is ready to answer questions immediately. Most teams report meaningful productivity gains within the first week. A more comprehensive knowledge base — built over 4-6 weeks — typically produces the best long-term results.

Yes. Francis AI Agent is built on Google Cloud Platform with enterprise-grade security. Data is encrypted in transit and at rest. Your company's knowledge base is strictly isolated — no data is shared between different company accounts, and your proprietary information is never used to train public AI models. The system operates within Google Cloud's asia-east1 region, keeping data within Asia-Pacific jurisdiction.

Team members interact through Telegram — the messaging platform most management teams in Asia-Pacific already use. They simply send a question as they would to a colleague, and the Agent responds with a thoughtful, contextually appropriate answer drawing from the company knowledge base. No new apps to install, no interfaces to learn. It works where your team already communicates.

Francis AI Agent can ingest a wide range of knowledge sources: PDF documents (strategy decks, frameworks, reports), Word documents, spreadsheets, leadership books and selected external resources, structured Q&A documents, and custom knowledge entries you write directly. The system uses Retrieval-Augmented Generation (RAG) to find the most relevant knowledge when answering each question, ensuring responses are grounded in your actual company context.

Yes. When a team member's KPI document is uploaded by an admin, the AI automatically references their specific targets in every answer — citing exact numbers and linking recommendations to their personal scorecard. The AI also knows each team member's role responsibilities (R&R), so advice is scoped to what they can actually act on. Once team members fill in their monthly actuals, the AI can also compare progress against target in real time: "You're 64% toward your revenue goal with two weeks left — here's what would close the gap fastest."

Teams using Francis AI Agent typically see three measurable outcomes: (1) 40% faster decision-making on routine strategic questions; (2) 12+ hours per week returned to the CEO from reduced Q&A interruptions; and (3) improved team confidence and initiative-taking. The compounding effect of faster decisions and better-aligned team judgment typically outweighs the platform cost within the first month of active use.