AGENTIC WORKSPACES

Your people and your agents. One team.

Hire 10× the capacity at half the cost. I build the six layers that let AI agents work beside your staff — on your data, on your say-so.

  • First build in about 4 weeks
  • You own the code and the data
  • For owner-run teams of 5–25
People and small robot agents working together at six glass walls
A person and four small robot agents passing a job sheet round a shared table

SIX LAYERS

Everyone works on them.

Your people set the rules, the agents do the legwork, and every hand-off is on the record. Here is how the work moves.

01 — CONTEXT

It starts with what you know.

You and your team write down who you are, what you sell and why, who owns what, and how you sound. The agents read it before they touch anything.

  • written by 3 people
  • read by 30 agents
  • 212 pages

02 — OPERATIONAL DATA

Shared notes, not a guess.

Priya’s way of quoting, Marcus’s price list, the records in your CRM and your books. People add to it, agents keep it tidy, and everyone looks it up before they act.

  • 4 connectors
  • 38 skills
  • 1,204 records

03 — AI AGENTS

One team, two kinds of member.

Six people, thirty agents: every agent has one job and a person it answers to. A director agent keeps them in step.

  • 6 people lead
  • 30 agents crew

04 — THE WORKSPACE

Everyone works at the same table.

One shared workspace — a folder for every client and job — where people and agents pick up each other’s work, and every change is kept.

  • 142 folders
  • every change kept

05 — LEDGER

Every hand-off, on the record.

Who did what, and when: the agent that drafted it, the person who checked it. You can read it, question it and undo it.

  • 3,480 entries this month
  • 0 unlogged

06 — ADMIN PANEL

You still make the call.

One view of how the week is going, and the few decisions only you should make. Nothing goes out in your name that you did not allow.

  • 3 decisions waiting
  • 30 agents working

TOGETHER

Six layers. One team.

  1. 01Context
  2. 02Operational data
  3. 03AI agents
  4. 04The workspace
  5. 05Ledger
  6. 06Admin panel

This is the whole thing.

I start with the foundation — your context and data — built on your real records in about four weeks. The agents, the workspace, the ledger and your panel follow. You own all of it.

ben@3nm.io

One more head, or a brain that holds everything?

Compared onHire an ops managerKeep the spreadsheetAgentic workspace
How fast you get an answerWhen they're freeWhen you find the right tabSeconds
What it can seeWhat they rememberOne sheet at a timeEvery client, job and number together
Connects your appsBy handNoYes
When someone leavesTheir knowledge goes tooIt breaksIt stays
Who owns itThey walk away with itYou, until it breaksYou, outright
Time to workingMonths to hire and trainAlready hereAbout four weeks

About four weeks from scoping call to a working agentic workspace.

Call Scoping callscope + quote, you approve Buildon your accounts, your real data Handoverrecordings + SOPs Monthlyoptional, cancel anytime
day 0about four weeksafter

A data build for a 3PL logistics firm in Singapore went from signed to live in 13 days: signed 17 June 2026, live 30 June.

Want your team to try agents first? I run a free two-hour workshop at your office. Ask for one on the call.

You give access and answers. I do the rest.

You
  • Access to your accounts
  • Answers when two numbers disagree
  • Approve the scope
Me
  • Cleaning the data
  • Writing the wiki
  • Building the skills
  • Connecting the apps
  • Recording the walkthroughs
  • Writing the SOPs

The mess is normal. Every business I've built for had spreadsheets that disagreed. You don't clean up before I start.

I've built with AI agents every day since November 2025.

109,000+agent steps in the last 3 months
30projects live since Mar 2026

Paying clients in healthcare consulting, financial services, family offices, 3PL logistics and education consulting. On every one, the problem the owner named wasn't the real one. The real one was where the knowledge lived.

A number that looks right isn't always right.

On the 3PL build, I matched all 184,578 rows of the firm's data to the owner's own workbook, to the cent. 18 days later, a second year of data loaded and one total went off by SGD 43.27. Every chart still drew. The screen looked correct. Nobody looking at it could have known. The earlier match against the owner's workbook caught it, and I fixed it.

I build until what's in the scope works.

Not a refund. The result. If what's in the signed scope isn't working on the day I said it would be, I keep building until it does, at no extra cost. Anything outside the scope is a new scope.

You own all of it.

  • Where your data livesIn your own workspaces, drives and databases, named tool by tool in the scope.
  • Whose accounts and keysYours. I get scoped access to build and hand it back at handover.
  • Who changes thingsYou, after handover. You never need me to use it.
  • Getting it outEverything exports as files. No format only I can open.

No PSG or EDG paperwork. Grant approval takes four to six months; the build takes about four weeks.

Bolun (Ben) Liu

I'm Ben Liu, and RightClick:AI is me. I take the call, scope the build, build it and hand it over. No subcontractors, no account manager in between. You talk to the person doing the work, start to finish.

Get started

Book a 30-minute call.
It's free.

No pitch, no proposal. Book a call, or tell me the one thing eating your week and I'll say if it's worth one. I read every one myself, and take three projects a month.

ben@3nm.io · Singapore · No pitch, no proposal.

WhatsApp +65 9128 8687 or email ben@3nm.io.