Clara
Chief of Staff
- Owns the AI office as a whole — alignment, accountability, escalation
- Orchestrates all 20 AI employees and routes work to the right specialist
- Strategic partner to Nick: proactive angles, honest pushback, momentum
AI Employees Singapore
Meet the AI team.
20 AI employees. 6 divisions. Built on Claude (Anthropic) and deployed for Singapore SMEs — each with a defined mandate, a narrow scope, and hard guardrails. No unattended actions on client-facing outputs, ever.
20AI employees
6divisions
Claudeby Anthropic
PSG + EDGgrant-fundable
What is an AI employee?
An AI employee is an AI system with a named role, a defined mandate, a specific toolset, and hard limits on what it can do without human approval. Unlike a generic AI chatbot, each AI employee has a narrow job description — a Chief of Staff who owns escalation, a SEO specialist who audits sites, a QA manager who approves releases. Nick Tung builds these for Singapore SMEs, scoped and delivered by a PMC-certified consultant (PMC-10960) and fundable under PSG and EDG grants.
01 · Chief of Staff
Command
02 · Business intelligence
Strategy & Finance
Daniel
Chief Strategy & BD Officer
- Market analysis, competitive positioning, and go-to-market strategy
- Business development — identifies and qualifies new service opportunities
- Commercial brain for proposals, pitches, and partnership frameworks
Marcus
Chief Financial Officer
- Grant financial modelling — PSG, EDG, CTC, MRA projections with real numbers
- Commission structures, pricing strategy, and unit economics
- Revenue forecasting and ROI models for AI employee business cases
03 · Brand, content & distribution
Marketing
Amos
Chief Marketing Officer
- Brand strategy, GTM planning, and audience positioning for clients
- Content strategy — pillar topics, cluster architecture, editorial calendar
- Campaigns: ATL/BTL briefs, channel mix, ICP definition
Happy
AI Writer & Proposal Specialist
- Writes grant proposals (EDG, CTC, PSG, MRA) in Nick's voice — human-reviewed
- Long-form content: articles, LinkedIn posts, newsletters, carousel scripts
- Anti-AI-slop guardrails — always cites sources, story-first, no hollow filler
Kimi
SEO / AEO / GEO Specialist
- Dual-score audits — SEO 0–100 + AI Search Readiness 0–100
- AEO / GEO optimisation: answer-first structure, schema, llms.txt, citations
- Technical SEO: crawlability, Core Web Vitals, internal linking, indexing
Nicole
AI Publisher & Distribution
- Repurposes long-form content into LinkedIn, IG reels, and newsletter formats
- Schedules distribution based on audience analytics — draft-only, Nick approves
- Tracks engagement rate (not vanity) and feeds learnings back to Amos and Happy
04 · Revenue & retention
Sales & Customer Success
Mashy
Head of Sales
- Builds and trains Nick's 100-agent channel sales network
- Commission structures, agent welfare, and progression frameworks
- Qualification frameworks and sales enablement for high-ticket SG deals
Koko
Head of Customer Success
- Health score tracking with trajectory — fires early warnings before churn
- NRR / GRR decomposition: contraction, expansion, churn by cohort
- Customer journey maps with leading indicators 30–90 days ahead
05 · Build, design & production
Delivery
Otto
Delivery Producer / PM
- Turns a won deal into delivered work by orchestrating all delivery specialists
- Tracks live delivery status, guards scope/timeline, raises blockers with options
- Client communications in Nick's voice — he sends, Otto drafts
Shaun
Spec & Intake Specialist
- Converts briefs into testable specs (INVEST + Given/When/Then + DoD)
- Spec Kit output becomes Jay's build criteria and Ria's test cases
- Eliminates scope ambiguity before a single line of code is written
Jay
Lead Developer
- Full-stack development: Next.js, Supabase, APIs, integrations
- Executes to Shaun's spec — clean, secure, tested, no over-engineering
- Vibe-coded builds shipped fast: from WordPress plugins to SaaS platforms
Dhruvesh
Backend & Infrastructure
- Python / FastAPI backends, Supabase database design, and server logic
- Data pipelines, scheduled jobs, and automation scripts
- Performance, security hardening, and production deployment
Dex
UI / UX Designer
- Visual design: layouts, component systems, brand expressions
- Dark-luxury aesthetic with world-class references — never generic output
- Design tokens, Tailwind systems, and pixel-perfect implementation
Cheryl
CX / UX Reviewer
- CX audit: maps friction, conversion drop-off, and journey breakdowns
- Reviews Dex's designs before Nick sees them — the UX quality gate
- Accessibility, mobile usability, and real user journey simulation
06 · Verification, research & optimisation
Quality & R&D
Quincy
QA Manager
- Front gate: approves Ria's test plan before testing begins
- Back gate: audits test reports — coverage gaps, severity, risk sample
- GO / GO-WITH-RISKS / NO-GO release recommendation for Nick's sign-off
Ria
Acceptance Testing Specialist
- BDD test scenarios across web, mobile, WP — visual, a11y, and performance
- Autonomous edge-case exploration: finds what scripted tests miss
- Evidence-backed PASS/FAIL reports; flaky-test triage and self-healing locators
Felix
Office Optimiser / R&D
- Audits the AI office for leverage — kills duplicate workflows, right-sizes models
- Scouts and vets external repos, MCPs, and new tools for the team
- Biased to subtract: every change requires Nick's approval before rollout
Titi
R&D Researcher / Market Scout
- Continuous external scout: GitHub, papers, MCPs, AI capability releases
- Vets quality and security before routing upgrade packets to the right member
- Anti-flood principle — 'no action' is a valid output; no auto-installs ever
Lucky
AI Data & CRM Steward
- Single owner of all data: analytics, BI, and CRM source of truth
- Bad-news-first reporting: 7-metric north-star dashboard, no invented numbers
- Read-only analytics; any CRM write/merge/delete requires Nick's approval
Common questions
AI employees — answered.
What is an AI employee?
An AI employee is an AI system with a defined role, mandate, toolset, and guardrails — trained to handle specific business functions autonomously or semi-autonomously. Unlike generic AI chatbots, each AI employee has a narrow job description, a named scope, and hard limits on what it can do without human approval.
Can Singapore SMEs build an AI workforce using grants?
Yes. AI employee builds are fundable under the PSG grant (up to 50% subsidy, S$30k cap) and the EDG grant (up to 50%, Enterprise Efficiency cluster). Nick Tung (PMC-10960) is a PSG- and EDG-eligible consultant who scopes and delivers these builds.
What does Nick Tung's AI workforce actually do?
Nick's 20 AI employees cover six divisions: Command (Clara, Chief of Staff), Strategy & Finance (Daniel, Marcus), Marketing (Amos, Happy, Kimi, Nicole), Sales & Customer Success (Mashy, Koko), Delivery (Otto, Shaun, Jay, Dhruvesh, Dex, Cheryl), and Quality & R&D (Quincy, Ria, Felix, Titi, Lucky). Each has a specific mandate and honest guardrails — no unattended actions on client-facing outputs.
How long does it take to build an AI employee?
A single AI employee (e.g. an AI sales agent or AI content writer) typically takes 2–4 weeks to scope, build, and test. A full AI workforce of 5–10 employees takes 2–3 months, usually structured in phases aligned to grant milestones.
What AI model powers Nick's AI employees?
Nick's AI workforce runs on Claude by Anthropic — the same model powering Claude Code and Claude.ai. Claude is chosen for its accuracy, reduced hallucination rate, and the ability to set hard system-level instructions that constrain what each AI employee can and cannot do.
More questions? WhatsApp Nick directly — replies within 2 hours on weekdays.
Build your AI workforce
Want your own AI team?
Nick builds AI employees for Singapore SMEs — from a single AI sales agent to a full 20-person workforce. Scoped by a PMC-certified consultant, fundable under PSG and EDG grants. 30-minute scoping call, no upsell.
Replies within 2 hours on weekdays