Founders AIOS.
Personal first. Team later.
Turn AI into a trusted partner that augments your team. One month of build. Two months of follow-up. 25 pre-built skills + 3 custom skills, drawn from a library of over 79 doing real work in real businesses, built around you, the founder, not HQ.
Built around the founder.
Founders AIOS installs an AI Operating System into your business loaded with 25 pre-built skills and adds 3 custom skills built around your specific day, drawn from a library of over 79 skills doing real work in real businesses. Built around you personally, the founder, not your operations team or HQ. One month of build, two months of follow-up support, and you're self-reliant.
Three decades building, running and selling businesses, property in the UK, tyres in Australia, and now AI implementation out of Singapore. The last three years building the AI Operating System every Anaboo client now runs on.
That experience put one thing very clearly in front of me: founders who get fluent with AI personally, at their own desk, on their own phone, in their own week, pull away from the founders who try to bolt it on as a corporate project.
The personal layer comes first. The business and team layer comes when the founder knows what to ask for. This is exactly that.
Phase 1. Personal. Just for you.
Not a team rollout. Not a department-wide install. Not yet, those are Phase 2 and Phase 3, costed and scoped separately when you're ready.
- 25 pre-built skills
- + 3 custom skills
- 1 month build · 2 months support
- More custom skills
- Team rollout
- Extended Level 2
- Multi-agent architecture
- Whole-business rollout
- Level 3 destination
Done-for-you AI, stress-tested in real businesses first.
Anaboo AI exists to make AI work for established business owners who don't have the time, headspace or appetite to figure it out themselves. We're not a software vendor and not a research lab, we're a done-for-you AI implementation firm, founded in 2023 after three decades running property, financial services and operations businesses across Singapore, the UK and Australia.
Every solution we deploy has been stress-tested in our own businesses first, EzyTrac Property (2009, still running), Gladfish / YPC (2004, still running), Darra Tyres (1984, still running). Usual packages run USD $10k, $100k depending on scope and depth. We work with profitable, owner-led businesses, typically 5+ years old, industry agnostic.
AI is 80% business process re-engineering, 20% magic.
Anyone telling you otherwise is selling you the wrong thing.
The founder learns first.
When the founder is fluent, the org follows. When the org gets AI bolted on without the founder, it sits there.
Build in layers.
Solid foundation first. See results. Then build the next layer. Each earns the right to the next.
Clarity over complexity.
If a CFO can't see the cash conversion in five minutes, it's wrong.
Action over perfection.
Start small. Prove it. Scale what works.
Self-reliance over lock-in.
Built to be handed over. Keep working with us, or take the keys. Your call.
- ✕Instant transformation with plug-and-play AI
- ✕No change management needed
- ✕Generic tools that fit every business
- ✕Set and forget automation
- ✕ROI in weeks with zero effort
- ✓Bespoke skills built around your business
- ✓Founder-led change, the personal layer first
- ✓Deep integration with your people & processes
- ✓AI Drift Maintenance to keep outputs sharp
- ✓Measurable outcomes, and your hand on the wheel
The trap that builds itself around you.
You didn't start the business to end up doing this version of the job. For the first three or four years, the founder isthe process, decisions are fast because they happen in one skull. That speed is the company's superpower.
Then the team grows past ten or twenty people. You're still the bottleneck, but now there are more decisions queueing behind you. The calendar fills with approvals, not strategy. The traits that built the business quietly flip from asset to liability. You walk into the third meeting of the morning, approving something that should never have needed you, and you think: this is exactly what I left.
“If your business depends on you, you don't own a business, you have a job. And it's the worst job in the world because you're working for a lunatic.”, Michael E. Gerber, The E-Myth Revisited
The seven pain points we hear in every founder conversation
1. Chief firefighter
Every operational fire ends up at the founder's desk. No filter, no deputy, no layer in between.
2. Can't scale without burning out
Adding revenue means adding hours. The model only grows by consuming more of the owner.
3. Hiring exhaustion
Quality talent isn't easier to find. Good hires need months of founder time before they're useful. Short-term, the bottleneck gets worse.
4. No time to think strategically
Operational noise drowns out vision. Strategic thought turns into “the thing I'll do this weekend.”
5. Financial anxiety despite revenue
Profitable on paper, but 80–90% of personal wealth is locked in the business and you're not sure what it's actually worth.
6. Can't take a real holiday
67% of owners check in daily on holiday. The business demands constant supervision because nothing else has been built to supervise it.
7. Succession / exit gap
Half of owners have done zero transition planning. They know they should. They cannot find the bandwidth.
+ Isolation
Team can't help (they're staff). Spouse is tired of hearing it. Peers are competitors. Nobody to actually think with.
The real formula for AI success
Most failed AI projects fail because the operator reaches for the AI before they've cleaned up the process. The pyramid is upside down on most decks. Here's the one that works.
Business Process Review
Map each workflow. Find the waste, the bottlenecks, the duplication. AI cannot fix a broken process: it only makes broken things break faster. This is the work we've been doing in operations for 20 years. AI made the payoff bigger.
Automation
Once processes are clean, automate the repetitive. Triggers, workflows, follow-ups, data movement. Remove humans from tasks that don't need them.
AI Tools
Apply AI to the clean, automated foundation. Clear bottlenecks. Generate reports. Make you and your team dramatically more productive. The 5% only works because of the 95% underneath it.
Where you are. Where Phase 1 takes you. What's next.
AI as your smart search and thinking partner
Using ChatGPT, Claude, Gemini and the like as your daily search engine, draft writer, research distiller and thinking partner. No agents. No automations. Just you, an open chat window, asking questions and getting answers.
Drafting content in 10 minutes instead of an hour; pulling industry research in 15 minutes instead of half a day; pressure-testing decisions with a partner that's read everything.
Solo agents with static context
Single-purpose AI agents trained on a specific slice of your business: your SOPs, your brand voice, your supplier list, your past content. Each agent knows one zone and does one job. Phase 1 delivers three of them.
Most operators stay at Level 2 for years and get massive leverage from it. Many never need Level 3.
Multi-agents with dynamic context
A team of AI agents that talk to each other, coordinate on tasks, and refresh their knowledge live. The full AIOS architecture: workspaces, a CEO orchestrator, the privacy / guardrails / quality gates, agents that spawn specialist agents on demand.
When people talk about “one-person businesses” running serious revenue, they are at Level 3. Level 2 transforms a working day. Level 3 transforms an organisation.
Honest advice: Phase 1 takes you from L1 to L2 in one month, then two months to settle in. The leap from L1 to L2 is huge in productivity; L2 to L3 is huge in complexity. We move one level at a time so each level pays for the next.
Data. Context. Intent. In that order.
Skip a layer and the AI looks impressive in the demo and falls over in the field. Get all three right and even a Level 2 implementation produces output you can rely on.
The truth source the AI thinks from
An AI agent is only as useful as the data it can reach: your SOPs, supplier list, customer agreements, past content, email history, your numbers. Organised, clean, accessible, and yours, not floating in a vendor's training cloud.
For your Phase 1: We identify the document and data sources each of your three skills needs. Private vault, Singapore region by default.
The framing that tells the AI what good looks like
Even with the right data, an AI without context writes a sales email like a press release. Context is the framing layer: your brand voice, house style, audience, what to avoid. It's where “good” is defined for the agent.
For your Phase 1: For each skill we capture the context profile: your voice, structural preferences, guard-rails, reference outputs. The agent uses it every run.
The clear ask that makes a clean answer
Every interaction needs a clear intent. What is this run trying to do? Without it, the AI guesses, and guesses at the average outcome, not yours. Skills that bake intent into their structure produce sharper output every time.
For your Phase 1: Each skill has a structured intent layer baked into how you call it: short prompts that map to the agent's job. The skill knows its job; you give the input.
What comes standard with AIOS
Phase 1 deploys AIOS with the standard skill library pre-installed, the toolset on the workbench, available from day one regardless of which three you actively customise.
| Standard AIOS skill | What it does |
|---|---|
| Context OS | The business context engine: captures your knowledge, voice and operating reality so every skill can reach for it. |
| Data OS | Connects external data sources (Stripe, Xero, GA, Sheets) into a local, queryable layer with daily snapshots. |
| Intel OS | Indexes Fireflies/Fathom transcripts and Slack so any skill can search by person, topic or date. |
| Daily Brief | Morning intelligence report synthesising data sources and meetings into recommendations and next actions. |
| Productivity OS | GTD inbox → decision tree → dashboard → weekly review. Tasks moving without ceremony. |
| Command OS | Telegram bot interface: run AIOS from your phone with voice notes, photo analysis, always-on chat. |
| Infra OS | Git versioning, GitHub backup, automatic change history. Nothing you build is ever lost. |
| Content Pipeline | Capture → develop → schedule pipeline for content ideas and posts. |
| Deep Research | Parallel multi-platform research across web, YouTube, Reddit, X, academic, podcasts, Substack. |
| Board of Directors | Convene 13 AI directors to debate a proposal, chaired by a Kerry Packer-style straight-talker. |
| Diagram Engine | Natural-language → architecture / process diagrams via D2. |
| Design & content stack | New-App, Frontend Design, Stitch, Thumbnail Generator, Writing Style: mockups, design systems, brand-aware thumbnails, AI-tell removal. |
| Data ingestion stack | Firecrawl, Supadata, Reddit, X-Search, Substack, Podcast-Search, Academic: scraping, transcripts, social/forum and scholarly search. |
| New Capability module | Guided 7-stage workflow for building any new API integration into a Claude skill. |
| Openclaw AI Employee | Deploy autonomous Claude agents on a DigitalOcean VPS, for 24/7 skills. |
The exact deliverables. The exact timeline.
Month 1: Development
- →60-minute scoping call & proposal discussion: talk through the three specific problems / reports / messages your skills will solve, agree the data and context sources for each.
- →3–4 hour implementation working session, Zoom or face-to-face, single block. We deploy AIOS into your environment, set up the standard skill library, and start the first of your three custom builds.
- →Three working AI skills, built with you on screen-share, so you understand how each layer fits. By end of month, all three are live and documented.
- →Level 1 sharpening sessions woven through the build month. By week four you have a working pattern library for whichever tools you reach for.
- →A personal prompt & pattern playbook: the 12–15 patterns you'll use 80% of the time, written for your voice and your day. Yours forever.
- →Skill build documentation: data sources, context profile, intent prompts, maintenance schedule for each skill. Hand it to anyone and they can pick it up.
Months 2 & 3: Follow-up support
- →Fortnightly check-in calls, 30 minutes, structured around what's working, what isn't, what to fix.
- →A direct line to the team, not a support queue.
- →AI Drift Maintenance on all three skills. We keep them producing the quality they did on day one.
- →Phase 2 conversation in month 2, scoped on demonstrated lift, not on a slide. Month 3 is runway to decide.
What success looks like at month 3
| Metric | Today | By end of month 3 |
|---|---|---|
| Inbox first-touch response time | ~45 min | <10 min |
| Content / posts published per week | ~1 per week | 2–3 per week, in your voice |
| Time per content draft | ~60 min | 10–15 min including edit |
| Time per proposal / quote draft | ~3 hours | <30 min to first sign-off |
| Market / competitor intelligence | What you remember | Continuous, weekly digest in inbox |
| SOP / contract lookup | Find later, sometimes | 10 seconds, on the call, with citation |
| Founder hours reclaimed per week | n/a | 8–10 hours |
What's NOT included (and why)
Level 3 capability. They aggregate the output of a multi-agent system. Building one before the agents exist is a billboard for a road that hasn't been laid.
Level 3: different architecture, different infrastructure, different cost band.
Level 3 territory. Should never be built before the founder is fluent enough to spot bad output.
Phase 1 is yours. We extend to the team in Phase 2 once you've defined what good looks like at Level 2.
Anything requiring custom front-end software belongs in Phase 2/3 with a separate scope.
A note on location: this proposal does not include on-site time. The implementation is run from Singapore, Zoom or equivalent for every working session. On-the-ground workshops are a separate scope.
Three custom skills you choose.
Each one solves a specific problem, produces a specific report, or communicates a specific message, repeatedly, in your voice. Nine examples below across six business areas. They're starting points, not a constraint, bring your own workflow to the scoping call and we'll build that instead.
Lead Qualifier & Pre-Call Brief
“Inbound lead lands. Two minutes later you've got a qualification scorecard and a pre-call brief in your inbox.”
Trained on your ICP, your past won/lost deals and your sales playbook. When a new lead arrives, the agent enriches the company, scores against your ICP, flags red and green signals, and drafts a one-page pre-call brief with three discovery questions in your voice.
Best for: Founders who still take inbound sales calls and want to stop preparing from scratch.
Proposal & Quote Drafter, In Your Voice
“Discovery notes go in. First-draft proposal, in your voice, in your structure, comes out.”
Trained on your past winning proposals, pricing logic, standard scope and contract boilerplate. Hand it your discovery notes (or a Fireflies transcript) and it drafts a complete proposal: exec summary, scope, deliverables, timeline, pricing, T&Cs. You edit and sign off, not stare at a blank page.
Best for: Founders who personally write proposals and lose half a day every time.
LinkedIn & Content Drafter, In Your Voice
“The thought-leadership post you've been meaning to write all week, drafted in 5 minutes, ready for your edit.”
Trained on your historical LinkedIn voice and your view of the industry. Drafts posts, articles, newsletter sections and short video scripts on the themes you care about. Every draft watermarked ”DRAFT” - never auto-posts. The founder-brand compounds while you do other work.
Best for: Founders who know they should be more visible but never find the hour.
Customer & Market Watch
“Continuous monitoring of competitors, regulations and customer signals, summarised weekly into a 1-page digest.”
Scans your top 10–20 competitors, the regulators that matter and the customer-signal sources your industry watches. Each week it drops a one-page digest in your inbox: pricing moves, new entrants, regulatory shifts, sentiment swings, so you walk into the week in front of the team.
Best for: Founders in markets that move faster than their team can track.
SOP & Knowledge Brain
“Every SOP, supplier, contract and decision history, searchable on your phone in 10 seconds.”
A private knowledge brain trained on the documents that hold your institutional memory: SOPs, contracts, agreements, training material, decision logs, key email threads. Ask it anything and it returns the answer with citations.
Best for: Founders who are the institutional memory and want to stop being the institutional bottleneck.
Supplier & Vendor Email Handler
“The 30 supplier emails a week you write, drafted, classified, queued for your one-click sign-off.”
Trained on your historical supplier comms, contract terms and vendor list. Reads incoming supplier email, drafts the reply in your voice, classifies it (routine / needs-decision / escalate) and queues it for sign-off. The ones needing a real decision get a 30-second summary.
Best for: Founders who are still the central node for vendor relationships.
Cashflow & Numbers Distiller
“Your weekly numbers, distilled, anomalies flagged, your three follow-up questions to the bookkeeper drafted.”
Ingests your live numbers from Xero / QuickBooks / Stripe / your bank plus your weekly P&L and cashflow forecast, and produces a one-page Monday distillation: cash position, anomalies vs forecast, slow-paying customers, supplier exposure, and three follow-up questions drafted in your voice.
Best for: Founders who feel financial anxiety despite the business being profitable.
Weekly Team Distiller
“Your team's weekly reports, distilled into one page, anomalies flagged, your follow-up questions drafted.”
Ingests the routine reporting from your team: operational updates, sales pipeline, finance summary, project status. Produces a one-page distillation: what changed, what's anomalous, what needs your attention, three crisp follow-up questions ready for the catch-up.
Best for: Founders who get more reports than they can read.
AI Board of Directors, for the big calls
“Convene 13 AI directors to debate a proposal. Get a structured argument-and-counterargument before you commit.”
The Board skill convenes a panel of 13 AI directors (Strategy, Finance, Operations, Marketing, Risk, Legal, HR, Customer, Tech...) to debate a proposal, chaired by a Kerry Packer-style straight-talker. You get a structured transcript, a points-for / points-against summary and a recommended decision.
Best for: Pressure-testing the big calls: pricing, new-market entry, restructuring, senior hires, exit planning.
Worked combinations, for sparking thinking
| Possible shape | Three skills | What it's solving |
|---|---|---|
| “Founder still in sales” | Lead Qualifier · Proposal Drafter · LinkedIn Drafter | For the founder still personally selling and growing the founder-brand. Pipeline + closing + visibility. |
| “Step back, stay sharp” | SOP Brain · Weekly Team Distiller · AI Board | For the founder who's handed off to a leadership team and wants oversight without overhead. |
| “Founder brand, market ready” | SOP Brain · LinkedIn Drafter · Market Watch | Memory + visibility + intelligence. |
| “CFO-mind founder” | Cashflow Distiller · Weekly Distiller · Supplier Handler | For the founder who runs the business by the numbers. |
Your week today. Your week with three skills running.
- MonInbox catch-up. Three emails need answers you have to dig through filing for. 45 min lost.
- TueTeam weeklies arrive. Reading them gives you questions. Half a day of ping-pong.
- WedA customer rings about a specific clause. You promise to find it. You find it that evening.
- ThuLinkedIn post about a customer win. You write it. An hour to get the tone right.
- FriCompetitor moves on pricing. You hear it from a customer. You scramble to respond.
- SatMind off, except for Wednesday's clause.
- SunSketch the response on a coffee napkin. Will rewrite Monday.
- MonSkill 5 answers two of three from the SOP archive directly. 10 min, not 45.
- TueSharpened Level 1 summarises weeklies, flags anomalies, drafts your three follow-up questions. Replies sent before lunch.
- WedSkill 5 pulls the exact clause + history + past dispute notes. Answer on the call. 2 min.
- ThuSkill 3 drafts three post options in your voice in 5 min. You pick, edit, post. 15 min.
- FriSkill 4 flagged the pricing move on Monday. You replied same-day with a position already thought through.
- SatMind off. Properly.
- SunMind off. Properly.
Reclaimed: ~8–10 hours/week, 50+ days a year. A quarter of a working year back.
When you're ready to run an organisation, not a desk.
Phase 1 lands you firmly at Level 2, three solo agents working with the data, context and intent layers built. For many operators, Level 2 is the destination: high leverage, contained cost, founder in command of every output.
Extending Level 2:by month two you'll see which next problems are worth another custom skill, small bolt-ons, standard solo agents, or full software builds. Or take the build documentation and have a go yourself. We're a phone call away.
What Level 3 looks like:multi-agents with dynamic context, end-to-end customer journeys, business-wide compliance monitoring, full team rollout. The bench includes a CEO orchestrator, privacy / guardrails / quality gates, specialist Directors, and agents that build agents on demand. None of this connects in Phase 1, it's here so you know what becomes possible.
- Phase 1 (this proposal): three Level 2 skills + Level 1 fluency, one month build, two months follow-up, USD $10,000.
- Phase 2: extend Level 2 (more skills, team rollout), scoped per skill or as a bundle, costed after Phase 1 demonstrably works.
- Phase 3: Level 3 (multi-agent, dynamic context, customer-facing AI, business-wide compliance), costed once Phase 2 has earned its keep.
Each phase scoped on demonstrated lift, not on a slide. You never overcommit. We never overpromise.
One month of build. Two months of support.
Month 1: Build
Scoping call, 3–4 hour implementation kickoff, three custom skills built with you on screen-share, prompt & pattern playbook, full documentation.
Month 2: Settle & Phase 2 scope
Fortnightly check-ins, AI Drift Maintenance, Phase 2 scoping conversation.
Month 3: Self-reliance
Last fortnight of follow-up, final tuning, you running independently, decision on what comes next.
Total engagement: three months end to end. No additional licence fees, no per-seat charges, no surprise add-ons. Pricing scoped on the call, against your specific shape, usual packages run USD $10k, $100k.
| Component | What it covers |
|---|---|
| Scoping and skill agreement | Pressure-test the proposal, agree the three specific problems / reports / messages your skills will solve, agree data and context sources. |
| 25 pre-built skills, the AIOS backbone | The full standard AIOS skill library installed. As we build new skills for other clients, your library grows. |
| 3 custom AI skills, built with you | Three skills you choose, drawn from the examples, the wider 79+ library, or wholly custom workflows. Built collaboratively so you can extend later. |
| Level 1 sharpening | Pattern training for whichever AI tools you reach for; prompt structures for daily work. |
| Personal prompt & pattern playbook | Yours forever, the 12–15 patterns you'll use 80% of the time. |
| Skill build documentation | Hand it to anyone who extends the skill (us, your team, an outside dev) and they can pick it up. |
| Two months follow-up support | Fortnightly check-in calls + direct line + AI Drift Maintenance. |
| Phase 2 scoping conversation | By month 2, a scoped plan for whatever you want next, no obligation. |
| Singapore / UK / Australia coverage | Calls scheduled to suit your week, support across your daylight hours. |
Why this isn't consulting
A consultant leaves you with a deck and an invoice. We leave you with 25 pre-built AIOS skills installed in your environment, three custom skills built around your day, and the documentation to extend it yourself. The difference is what you can show for it on month four.
How we de-risk this
The 60-minute scoping call is free, if Phase 1 isn't the right move, no obligation, no fee. And if any one of your three custom skills doesn't earn its keep within the build month, we extend the build at no extra cost until it does.
Common questions
Where does the data live?+
Singapore-region private vault by default. Other jurisdictions on request. None of your data is used to train public AI models, that's contractual.
What if Anaboo goes under?+
You have the full build documentation. The skills run on the public AI APIs (Claude, GPT, Gemini), they don't depend on Anaboo infrastructure.
Can I pause the build month?+
Yes. One schedule reset per engagement, 7 days notice. We pick up where we left off, no penalty.
Is my data used to train AI models?+
No. Contractual exclusion. Your data sits in a private vault, accessed only by your skills, never used to train any public model.
Who owns the IP?+
You do. The data, context and skill configurations are yours. Anaboo's IP is the AIOS framework itself, licensed for your use indefinitely with no ongoing licence fee.
Two things from you. Three things from us.
Before our call, send us
- →A rough list of the workflows that hurt the most this week
- →Any AI tools you're already using (so we don't duplicate)
- →One sentence on what success looks like for you 12 months from now
You'll leave the call with
- →A confirmed three-skill scope (or a clear “not yet”, both fine)
- →An answer on Phase 2 / Phase 3 sequencing if you want it
- →A draft Statement of Work in your inbox within 72 hours
| Step | What happens |
|---|---|
| 1. 60-minute scoping call | You and Brett. Zoom or face-to-face. Pressure-test the levels framing, agree your three skills, agree data and context sources. |
| 2. Statement of Work | Within 3 business days. Confirms your three skills, the build plan, the milestone gates. |
| 3. 3–4 hour implementation kickoff | Single working block. We deploy AIOS, set up access, walk through the standard skill library, start the first build. |
| 4. Build month | Three custom skills built with you on screen-share. By end of week 4, three skills live and documented. |
| 5. Months 2 & 3, Support | Fortnightly check-ins. Direct line. AI Drift Maintenance. Phase 2 scoping at month 2. |
| 6. Beyond month 3 | Continue per skill or on retainer, run with it yourself, or hand the documentation to a developer. Self-reliant by design. |
Let's jump on a call.
60 minutes. No commitment. Walk away with a clear answer either way, and a draft Statement of Work in your inbox within 72 hours.