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.

// systems online
I'm Mau Pan.
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.
Built with founders and operators
Built with founders and operators across consulting, media, construction, growth, and AI systems.
Philip S.
CEO, Francison Consulting
Sammy T.
CEO, BMO Media
Eli W.
#1 Closer for Tony Robbins
Issa S.
Creative @ Higgsfield & DeepMind
Dave P.
CEO, Catha Construction
Andy S.
Partner, Blackspade
Brian N.
Founder, Swivul
Joseph M.
Head of Growth, AVTECH
Philip S.
CEO, Francison Consulting
Sammy T.
CEO, BMO Media
Eli W.
#1 Closer for Tony Robbins
Issa S.
Creative @ Higgsfield & DeepMind
Dave P.
CEO, Catha Construction
Andy S.
Partner, Blackspade
Brian N.
Founder, Swivul
Joseph M.
Head of Growth, AVTECH
Philip S.
CEO, Francison Consulting
Sammy T.
CEO, BMO Media
Eli W.
#1 Closer for Tony Robbins
Issa S.
Creative @ Higgsfield & DeepMind
Dave P.
CEO, Catha Construction
Andy S.
Partner, Blackspade
Brian N.
Founder, Swivul
Joseph M.
Head of Growth, AVTECH
Map the workflow. Build the system. Operate what works.
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
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
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
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
“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.
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.
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.
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.
Choose one recurring handoff where leads, clients, tasks, or approvals slow down.
Trace the inputs, tools, owners, risks, and approval points before AI touches anything.
Connect memory, prompts, tools, and review gates around one live workflow.
Keep sensitive calls with the team while AI drafts, routes, and prepares.
Assign the owner, deadline, draft, and next action before the work goes stale.
Monitor usage, tune weak spots, and expand only what the team trusts.
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
Recommended next step
The workflow has enough shape to plan an Agentic System, but the handoffs and approval gates need to be defined before launch.
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.
Yes. The goal is to build around your accounts, tools, docs, and operating rhythm so the system can keep working inside your business.
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.
Most modern CRMs, inboxes, docs, spreadsheets, forms, analytics tools, task managers, and internal databases. The Blueprint confirms what is worth connecting first.
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.
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.
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.
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.
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.
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.
