Mau Pan

// systems online

I'm Mau Pan.

I build AI systems that run businesses.

Not tools. Not automations. Operating systems for how you actually work.

Send one stuck workflow. I’ll map what should run, what should connect, and where humans stay in control.

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Built with founders and operators

Built with founders and operators across consulting, media, construction, growth, and AI systems.

Philip S.

Philip S.

CEO, Francison Consulting

Sammy T.

Sammy T.

CEO, BMO Media

Eli W.

Eli W.

#1 Closer for Tony Robbins

Issa S.

Issa S.

Creative @ Higgsfield & DeepMind

Dave P.

Dave P.

CEO, Catha Construction

Andy S.

Andy S.

Partner, Blackspade

Brian N.

Brian N.

Founder, Swivul

Joseph M.

Joseph M.

Head of Growth, AVTECH

Philip S.

Philip S.

CEO, Francison Consulting

Sammy T.

Sammy T.

CEO, BMO Media

Eli W.

Eli W.

#1 Closer for Tony Robbins

Issa S.

Issa S.

Creative @ Higgsfield & DeepMind

Dave P.

Dave P.

CEO, Catha Construction

Andy S.

Andy S.

Partner, Blackspade

Brian N.

Brian N.

Founder, Swivul

Joseph M.

Joseph M.

Head of Growth, AVTECH

Philip S.

Philip S.

CEO, Francison Consulting

Sammy T.

Sammy T.

CEO, BMO Media

Eli W.

Eli W.

#1 Closer for Tony Robbins

Issa S.

Issa S.

Creative @ Higgsfield & DeepMind

Dave P.

Dave P.

CEO, Catha Construction

Andy S.

Andy S.

Partner, Blackspade

Brian N.

Brian N.

Founder, Swivul

Joseph M.

Joseph M.

Head of Growth, AVTECH

Map the workflow. Build the system. Operate what works.

Start with the workflow that keeps getting stuck.

Blueprint when the workflow needs clarity. System build when the path is ready. Managed AI Ops when the system becomes part of how the business runs.

01

Map

AI Blueprint

Map one costly workflow, find the leverage point, and decide what should be built first.

A workflow map, ranked opportunities, and a clear call on whether to build now.

02

Build

Agentic System

Install the agents, tool connections, dashboards, and checkpoints around the workflow inside your stack.

A live system with review gates where judgment, money, or client trust matters.

03

Operate

Managed AI Ops

Monitor the system, tune what breaks, and expand into the next workflow when the data says it is worth it.

Ongoing AI ops, reliability checks, and the next build chosen from real usage.

Operator proof

The system has to move real work.

Mau helped us turn a recruiting flow that was scattered across the site, resumes, Bullhorn, and follow-up into something the team could actually see and run. The value was not just automation. It was clarity around the whole applicant path.

Philip S.

Philip S.

CEO, Francison Consulting

Before working with Mau, client context lived everywhere: calls, Slack, HubSpot, Notion, email, and memory. The command center gave us one place to see what happened, what was blocked, and who needed follow-up.

Sammy T.

Sammy T.

CEO, BMO Media

The useful part was that it did not try to automate the judgment out of sales. It organized the training, CRM context, and next actions so the team could move faster without sounding robotic.

Eli W.

Eli W.

Wilde Influence

MAP → BUILD → OPERATE

Start with one visible bottleneck. Map how work moves, build the system around it, then keep improving the parts your team actually uses.

Find the stuck point.

Choose one recurring handoff where leads, clients, tasks, or approvals slow down.

Map the real workflow.

Trace the inputs, tools, owners, risks, and approval points before AI touches anything.

Build the operating layer.

Connect memory, prompts, tools, and review gates around one live workflow.

Keep judgment human.

Keep sensitive calls with the team while AI drafts, routes, and prepares.

Route the next move.

Assign the owner, deadline, draft, and next action before the work goes stale.

Improve what runs.

Monitor usage, tune weak spots, and expand only what the team trusts.

AI Readiness Scorecard

Not sure what to fix first? Find the right first move.

Answer ten practical questions about one workflow. The scorecard tells you whether to map it, build the first system, expand an agentic system, or move into Managed AI Ops.

Workflow drag

AI fit

Best route

Founder-bound

Map My First Workflow

For workflows still trapped in memory, notes, or manual follow-up.

Building

Plan My First System

For workflows clear enough to become an agentic system inside your tools.

Scaling

Talk Through an Agentic System

For teams ready to connect memory, review, and action across tools.

Compounding

Explore Managed AI Ops

For live systems that need monitoring, tuning, proof, and expansion.

QUESTIONS FOUNDERS ASK

The first step is intentionally small: show me one workflow, then we decide what is actually worth mapping, building, or leaving alone.

Do I own the systems?+

Yes. The goal is to build around your accounts, tools, docs, and operating rhythm so the system can keep working inside your business.

Is this replacing my team?+

Usually no. The best systems remove repetitive handoffs, drafts, routing, and record updates so your team can spend more time on judgment, clients, and revenue.

What tools can this connect to?+

Most modern CRMs, inboxes, docs, spreadsheets, forms, analytics tools, task managers, and internal databases. The Blueprint confirms what is worth connecting first.

What if I do not know where AI should start?+

That is exactly why the AI Blueprint exists. We map the workflow, rank the leverage, and decide whether it needs a clearer process, an Agentic System, Managed AI Ops, or should be left alone for now.

What do I get after I submit a workflow?+

You get a clear recommendation for the first system worth building: the leverage point, the tools it should connect, the timeline, the risk points, and the likely build path.

How long until something is live?+

Small fixes can move quickly. Full systems usually take 2-5 weeks after the workflow is scoped, depending on data access, review points, and how many tools need to talk to each other.

Do I need to be technical?+

No. You need to know where work is slow, where mistakes are expensive, and what a good outcome looks like. I handle the technical architecture and build path.

What if my stack is messy?+

That is normal. The Blueprint starts by documenting the current tools, handoffs, data sources, and owner routes so the build path fits the business you already have.

How do you handle private client or business data?+

Private data stays out of public proof. Screenshots and examples are rebuilt with sample records, cropped, anonymized, or withheld when they should not be shown.