AI NATIVE · THE MANAGEABLE ENTERPRISE AGENT PLATFORM

Adopt AI.
Replace nothing.

BEE Sigma plugs a team of specialized agents into the systems you already run — Teams, Slack, WeChat, Lark, email and your ERP. No migration, no process change. Your team just asks, and decides.

Get a Free AIV Scan Watch the 3-min Demo
12specialized agents
3+1workflows · 3 standard + Golden Flow
2markets · NZ & China
8+industry deployments

Command · One sentence is all it takes

Your team asks. The agents run the process.

You
WECHAT · LARK · SLACK · TEAMS · ERP● 12 AGENTS ONLINE
GTMAttract & nurture—leads→ CRMConvert & close—contract→ FINCollect & comply—cash ✓ +GOLDEN FLOWyour money-making flow
01 · GTM WORKFLOW

Attract & NurtureAn assembly line for market reach

G1 AIV OfficerG2 Market Radar G3 Content AgentG4 Hunter Output · qualified leads
G1

AIV Officer

Audits and optimizes your site’s SEO and GEO so search engines and AI recommend you — not your competitors.

Output: AI visibility score + fix list
G2

Market Radar

Watches your industry, competitors and policy around the clock. Setup is one Lark card; a briefing lands in your group every morning.

Output: daily intel + suggested actions
G3

Content Agent

Turns radar intel into topics, writes in your brand voice, adapts for each platform’s conventions.

Output: multi-platform content · human-approved
G4

Hunter

Enriches leads and scores them against your ICP. Below-bar leads keep nurturing; qualified ones hand over to CRM Intel.

Output: scored, qualified leads
02 · CRM WORKFLOW

Convert & CloseEvery deal moves forward with memory

C1 Intel AgentC2 Proposal Agent C3 Deal AgentC4 Handover Agent Output · clean contract handover
C1

Intel Agent

Starts digging the moment a lead arrives: public records, past interactions, decision chain — one page tells the story.

Output: client dossier · with full history
C2

Proposal Agent

Pulls comparable client cases and drafts a signable proposal in the salesperson’s own voice.

Output: proposal draft · voice-matched
C3

Deal Agent

Files every exchange into a timeline, pushes key commitments for one-tap confirmation, suggests strategy each round.

Output: timeline + next-step advice
C4

Handover Agent

After signing, compiles every promise and special term and writes it back to the order. Delivery never has to ask twice.

Output: delivery brief · approved write-back
03 · FINANCE WORKFLOW

Collect & ComplyTurn cash flow into certainty

F1 Invoice AgentF2 Reconciliation F3 CollectionsF4 Tax Agent Output · cash in, audit trail kept
F1

Invoice Agent

Reads documents, checks duplicates, preps invoicing the moment a contract signs — no invoice leaves without human sign-off.

Output: invoice pack · input verification
F2

Reconciliation Agent

Matches bank statements against ERP automatically; anything unmatched becomes a discrepancy list for your accountant.

Output: matched entries + discrepancy list
F3

Collections Agent

Watches payment terms and reuses CRM relationship memory to calibrate tone — gentle with loyal clients, firmer with repeat late-payers.

Output: dunning drafts · human-reviewed
F4

Tax Agent

Filing calendar, document collection, pre-filled forms. Preparation and reminders only — filing is always done by a human.

Output: filing prep pack · prep only
04 · GOLDEN FLOW · CUSTOM BUILD

Your Golden FlowThe real gold is in your unique business model

⊕ Beyond the three standard flows Source · your business model Output · verified by business results
GF

What is a Golden Flow

GTM, CRM and Finance are flows every business shares. What actually makes you money is the flow only you have — your quoting logic, scheduling experience, veteran judgment, the resources your years in the trade have earned. Hand it to an AI digital employee.

Output: an agent workflow that exists nowhere else
01

What it looks like

The training-and-assessment loop, interview practice and knowledge Q&A in our client voices sit outside the three standard flows — each one is that client’s Golden Flow.

See: casebook & client voices above
02

How we find yours

Start with the free AIM assessment: lay your business flows out, pick the one most worth handing to agents, and pilot it small.

Output: entry point + acceptance criteria
03

How we deliver

We reuse the platform’s memory, approvals, logging and IM integrations, and only build the agents your process is missing — humans still sign off on high-risk actions.

Output: a custom agent squad · verified by results

Human checkpoints throughout: site changes, content publishing, discounts, order write-backs, invoicing, every filing — for high-stakes actions, agents propose, people decide.

Casebook · Anonymized Cases

Nine engagements, each labelled with its delivery status

Engagements from New Zealand and China. Company names withheld at clients’ request; each card shows its delivery status (live, partly live, pilot/demo, in development) and figures come from dated project records.

How a boss clone works: write the owner’s judgement down, then install it in the team’s agent
PRODUCT CASE · BOSS CLONELive (product)

Boss clone: the owner’s judgement inside the team’s AI agent

BossClone · records from 6 clients in New Zealand and China

A 15–30 minute six-layer interview generates SOUL.md, installed in a Lark or WeCom agent in 3 steps. Colleagues get a first judgement by the owner’s standards in their group chat, and anything out of scope goes to the owner.

Read the full case: how it works, walkthrough and client feedback →
Education & TrainingNZPilot · Demo

A first reply and a booking link within minutes of a new lead

NZ · International education group · lead screening (phase-one pilot)

A first reply and a booking link within minutes of a new lead
Lead enters CRM→Auto first email + booking link→Booked leads to counsellor queue

✕ BEFOREMore than two thousand new leads sat in the CRM (the client’s estimate at a 2026-07-31 meeting); counsellors could only call one by one with no way to prioritise.

  • Pilot: new Zoho leads get a personalised email and booking link; those who book are routed to a counsellor
  • Agent live in Microsoft Teams; admitted students with stalled visas are flagged with a draft follow-up (validated in a test environment)
Read the full case →
Education & TrainingCNPilot · Demo

Eighteen scattered files, one searchable student record

CN · Study-abroad consultancy · coaching-service documentation (co-design phase)

Eighteen scattered files, one searchable student record
Source files→Agent summaries→Lark Base index→Coach retrieval by stage

✕ BEFOREAssessment reports, coach notes and three-year plans lived in PDFs and Word files with gaps at every hand-off.

  • First pilot student: 18 source files plus 10 team notes indexed into 28 structured records
  • Programme design and professional judgement stay with the firm; AI structures and drafts
Read the full case →
Construction & TradesNZLive

Payables that no longer need chasing

NZ · Construction head contractor · automatic invoice routing

Payables that no longer need chasing
Invoice OCR→PO & approver match→Submit to ApprovalMax→Status write-back

✕ BEFOREInvoices keyed by hand, approvals stuck with no visibility, overdue only discovered after the fact.

  • Agents read, file, match purchase orders and submit approvals; people still approve in ApprovalMax and pay in Xero
  • 730 of 798 documents routed automatically in one accounting month (91.48%, project review of 1 Sep 2026); admin and approver dashboards
Full case study: 91% invoice automation →
Construction & TradesNZPartly live

Invoicing, collections and risk: agents draft, people press send

NZ · Construction company · receivables automation

Invoicing, collections and risk: agents draft, people press send
Quote→Xero invoice & send→Daily overdue pull→Reminder drafts, 3 tones→Risk tier cards

✕ BEFOREInvoices were keyed by hand, overdue accounts meant reading the Xero ageing report, and reminder tone depended on the day.

  • Agent reads quotes from Google Drive, creates and emails the Xero invoice (MVP live Jul 2026)
  • Daily 09:00 pull of Xero overdue items into reminder drafts in three tones, drafts only, never auto-sent; four-tier risk cards for management (demo stage, Sep 2026)
Read the full case →
Construction & TradesNZLive

One sentence from the foreman, hours in the system

NZ · South Island builder · site hours and labour cost

One sentence from the foreman, hours in the system
One sentence in Lark→Agent parses and writes→Foreman confirms→Pay rates applied automatically→Cost dashboard

✕ BEFOREHours were recalled by foremen after work and totalled in Excel; the owner could not see labour cost per project.

  • Foremen post one sentence in the Lark group they already use; the agent writes the daily hours detail and site diary, and pay rates are applied by a Base automation, not a language model (kickoff 2026-04-08, company-wide 06-15)
  • 2026-06-27: 20 projects, 334 daily records and over 10,000 hours in the system; payroll and cost visible by role
Full case study: site timesheets from Excel to a chat group →
Trade & LogisticsNZ ⇄ CNLive

WeChat-group orders, closed-loop for the first time

NZ ⇄ CN · Health-products retail · WeChat orders to SF Express labels

WeChat-group orders, closed-loop for the first time
Group order→Split & verification card→Human 4-point check→SF order & ID archive→Label callback

✕ BEFOREOrders sat in group chats; one staff member copied each into a master sheet, the SF template and an ID archive, then sent labels back one by one.

  • Agent parses WeChat orders, maps SKUs, splits and issues a verification card; a person checks recipient, product, payment and ID and says ‘review passed’ before the agent calls SF Express (first production order 2 Sep 2026)
  • SF pushes the label after dispatch; the agent archives it and writes back to Lark Base (live 9 Sep 2026). ERP and WeChat unchanged
Full case study: WeChat orders to SF Express labels →
Trade & LogisticsNZ ⇄ CNPartly live

From client file to shipping instruction, a pre-sales line nobody has to babysit

NZ ⇄ CN lane · Freight forwarder · three workflows, pre-sales to destination port (phased delivery)

From client file to shipping instruction, a pre-sales line nobody has to babysit
CRM record→Order creation→Quote PDF approval→Confirmation email→Shipping instruction

✕ BEFORENo shared rules for order creation, quote approval or shipping-instruction hand-off; repeated back-and-forth produced many dead orders.

  • Pre-sales: client record, order, quote approval, confirmation email and shipping instruction chained; quotes released only after sales-support approval (delivered Sep 2026)
  • Origin-port pre-alert checks and destination-port ETA and release alerts in development; stage review 15 Sep 2026
Read the full case →
Finance & Business ServicesNZPartly live

Client touchpoints that start with a birthday email

NZ · Mortgage adviser team · content operations & client touch

Client touchpoints that start with a birthday email
Mailbox authorised→Birthday emails→Xiaohongshu topics & images→Daily mortgage brief

✕ BEFOREClient birthdays depended on an adviser remembering; the Xiaohongshu account had too little content to find a voice.

  • Birthday emails go out automatically through the authorised Outlook mailbox (live Aug 2026)
  • Topic pool and image rules set up; advisers produce posts by chatting with the agent; a daily 08:00 brief on mortgage rates, OCR and refix news
Read the full case →
Finance & Business ServicesCNPilot · Demo

One sentence from sales, a CRM preview from AI, saved only after confirmation

CN · Venue & park leasing · conversational CRM capture (MVP demo stage)

One sentence from sales, a CRM preview from AI, saved only after confirmation
One sentence in Lark→Seven-field preview→Reply ‘confirm and write’→Client / project / follow-up tables

✕ BEFOREFollow-ups lived in chats and heads; CRM fields sat empty; history was scattered across each salesperson’s Excel.

  • Sales describe a visit in a Lark group; the agent parses, de-duplicates and previews seven fields; nothing is saved until they reply ‘confirm and write’ (MVP v3, demoed Sep 2026)
  • Five contact roles and relationship tiers; one-click decision-chain diagram (tested 10 Sep 2026)
Read the full case →

The cases on this page come from BEE Sigma’s actual client engagements in New Zealand and China; company names are withheld at clients’ request. For accuracy, each card states its delivery status: Live means the workflow runs in the client’s day-to-day operations and is used by their team; Partly live means some steps are in use while others are in demo or development; Pilot · Demo means it has run in a test environment or demonstration but is not yet in full daily use; In development means it is at the design or build stage. Figures are taken from dated project review records and some have not been confirmed in writing by the client; results depend on each client’s existing systems, data and participation and are not a promise of outcomes for other businesses. Content is current as at the dates shown; systems are subsequently operated by clients and we do not hold later figures.

Proof · Seeing is believing

Two interactive demos, walking from lead to cash

No feature lists — just the real flow: one client, from first appearing on the market radar to finance issuing the invoice.

GTM · Lark EP.01 · 02'45"

The Lead Assembly Line

From an AI visibility score of 32 to 71: the radar spots a competitor pricing window; content, lead scoring and handover all happen in Lark — setup is a single card.

Enter the demo CRM · WeChat EP.02 · 03'00"

The Hengda Machinery Deal

From one briefing request through 14 rounds of communication and a single key confirmation, to the delivery brief and invoice draft — sales never opened the CRM; finance never chased a document.

Enter the demo
Trust · Chosen by businesses

BEE Sigma,
trusted in two markets

Two markets — New Zealand and China — and deployments across eight-plus industries, from local service firms to cross-border trade and finance teams.

NZSEGNZSEG 3EYES3EYES Construction Coconut LoansCoconut Loans JL RoofingJL Roofing 太平人寿太平人寿 太平洋保险太平洋保险 普元信息普元信息 Novo EducationNovo Education AUNZ InternationalAUNZ International CHINZ 秦远物流CHINZ 秦远物流 Mars LivingMars Living Briv ConstructionBriv Construction 财迷游言财迷游言 华樱教育华樱教育 琪石培训琪石培训 蜗牛口腔蜗牛口腔 译讯科技译讯科技 MedMedMedMed PawPrint StudioPawPrint Studio 浙江智汇通浙江智汇通 北京万馆 · 万馆体育北京万馆 九洲昌隆九洲昌隆 泓瑀泰达泓瑀泰达
Delivery notes · From project records

A few entries from the delivery record

These summaries are taken from project records and review notes, dated and anonymised. They are not client testimonials and do not constitute client endorsement.

730 of 798 invoice documents routed automatically in one accounting month

An automatic routing rate of 91.48%, with manual review down to 68 documents; approval and payment still done by people in ApprovalMax and Xero. Project review of 1 Sep 2026, not confirmed in writing by the client.

NZ · Construction head contractorPayables · live

10 weeks from Excel timesheets to a Lark group

Kickoff 8 Apr 2026, company-wide use from 15 Jun; at the 27 Jun handover 20 projects, 334 daily records and 10,000+ hours were in Lark Base. The client has run the system since.

NZ · South Island builderSite timesheets · live

90 days from WeChat-group orders to the first production SF Express order

Kickoff 4 Jun 2026, first production order 2 Sep, SF label callback live 9 Sep; a person checks four items and says ‘review passed’ before the agent creates the order. Daily work orders were running normally as at 11 Sep.

NZ ⇄ CN · Health-products retailOrders to labels · live

11 days from kickoff to go-live for a sales reconciliation workflow

Started 20 Jul 2026, live 31 Jul; in a two-day training scenario the agents produced 30+ client analysis reports (quarterly review notes, 27 Jul 2026).

CN · Financial training firmSales reconciliation · live
Founder

Pin Zhou

FOUNDER · BEEBEE AI / 2BRAIN

  • 25 years in the internet industry, three ventures founded, former executive at two NASDAQ-listed companies (Baidu, Cheetah Mobile).
  • Focused on AI adoption, hands-on advisory and organizational capability — not demos, but processes that actually run.
  • 60+ companies and institutions served and 1,000+ professionals trained across education, Chinese-founded businesses and growth-stage teams.

What matters isn’t talking about AI — it’s turning AI into business systems that actually run.

Pin Zhou · Founder, BEEBEE AI
Governance · Manageable

“Manageable” isn’t a slogan — it’s boundaries written into the process

This is why businesses dare to hand real work to agents. Our Responsible AI commitment →

⬡

Who can do what

Agent permissions granted one by one — and revocable one by one.

⬡

Who approves

High-risk actions always pass through a designated colleague.

⬡

When things go wrong

Every action is logged, traceable and reversible.

⬡

Where the data lives

Deployed on your side — data never leaves your company.

Start · How it begins

Three steps to production, each with acceptance criteria and a way back

No rip-and-replace, no company-wide training. Run one line of business first; expand once it proves out.

01

Free AIV Scan

See how visible your site is to AI search: who gets recommended, why you’re missing. One report — and it also pinpoints the business process most worth transforming first.

02

One-workflow pilot

Pick the highest-value workflow (most clients start with CRM follow-up or reconciliation) and close the loop at minimal scope — proving usability, naming approvers, defining the exit.

03

Connect real systems

Once proven, connect Teams, Slack, WeChat Work, Lark and your ERP, deploy on your infrastructure, and track turnaround, reuse and error rates as you expand workflow by workflow.

FAQ

Eight questions worth asking before you decide

What is BEE Sigma?

BEE Sigma is BEEBEE AI’s enterprise services brand: an AI consulting and engineering delivery team — and a manageable enterprise agent platform (the agents we deliver are often called AI digital employees). We plug a team of 12 specialized agents — three standard workflows plus custom Golden Flow builds — into the Teams, Slack, WeChat, Lark, email and ERP you already use, turning lead-to-cash into reusable, verifiable AI workflows and knowledge systems. Not another app to learn.

Who is BEE Sigma for?

Businesses whose follow-up, knowledge and delivery depend on human experience: we have delivered cases in education, construction, cross-border trade & logistics, and financial & business services. A simple test: if your team still copies from chats, pastes into spreadsheets and tracks clients from memory, it’s for you. Not sure whether to replace your business software first? Read our New Zealand business software comparison; most businesses don’t need to switch.

How is this different from AI training?

Training teaches tools; back at the desk, nothing changes. BEE Sigma is accountable for business results: starting from one concrete scenario, we work alongside you through process diagnosis, knowledge capture, agent workflow build-out and launch validation — with humans approving every high-risk action, and every step logged and reversible.

What does a project typically deliver?

Process diagnosis, knowledge asset organization, agent workflow design and configuration (starting from whichever is most valuable: GTM lead-gen, CRM follow-up or finance reconciliation), integration with your existing systems, team training, and a clear set of acceptance metrics. On-premise deployment supported — data stays with you.

How soon do we see results?

We recommend closing a minimal business loop in 2–4 weeks — most clients start with CRM follow-up or reconciliation, where results come fastest. Complex scenarios typically expand workflow by workflow over 3–6 months. Every step has acceptance criteria and a way back — you can stop any time.

What do we need to contribute?

Real business processes, historical cases, FAQs, delivery material, and interviews with key people — we turn that tacit experience into agent-usable knowledge. Expect 2–3 hours a week from the business owner in the early phase.

What can it do for education businesses?

Build an admissions funnel that never drops the thread, give every counsellor a closing co-pilot (pre-meeting match, live prompts, post-meeting profiles), turn senior counsellors’ experience into training for new hires, standardize parent communication, and make teaching and consulting SOPs reusable knowledge — with delivered education cases in both New Zealand and China.

Where does BEE Sigma operate?

We serve China, New Zealand, Australia, Thailand and Southeast Asia, in both English and Chinese. Our Auckland office is at B:Hive, Smales Farm (Takapuna), with team presence in Chengdu and Beijing.

Which company is behind BEE Sigma, and is it legitimate?

BEE Sigma is the enterprise services brand of BEEBEE AI, operated by BEEBEE AI Limited, registered with the New Zealand Companies Office under NZBN 9429051781781, with an office at B:Hive, 74 Taharoto Road, Smales Farm, Takapuna, Auckland 0622 and a verifiable Google Business Profile. BEE Sigma is not a cryptocurrency, investment platform or trading tool and has no connection with any token of the same name; we only do business AI consulting and workflow implementation, and every published case is a dated, anonymised project record.

What are real examples of AI technology applied in New Zealand?

By BEE Sigma’s dated 2026 project records, AI applications in New Zealand businesses cluster in four workflows: supplier invoice routing (construction head contractor, 730 of 798 documents routed automatically in one accounting month, review of 1 Sep 2026), site timesheet entry (South Island builder, company-wide use after 10 weeks), cross-border orders to courier labels (health-products retailer, first production order after 90 days) and sales reconciliation (financial training firm, live in 11 days). No system was replaced; agents sit between Xero, ApprovalMax, Lark, WeChat and the ERP, and payment, approval and external commitments stay with people. Full records: AI implementation case studies and how businesses use AI to improve efficiency.

BEE Sigma —
how businesses enter the agent era

Two free starting points, a few minutes each — see yourself clearly, then decide where to begin.

AIV · AI VISIBILITY

Free AIV Scan

See how visible your site is in AI search — who gets recommended and why you don’t. The report also flags the process most worth transforming first.

Start the scan AIM · ADOPTION ASSESSMENT

Free AIM Assessment

Answer a few questions about how you operate and see the best angle for adopting AI — which workflow to start with, and what to solve first.

Start the assessment
CONTACT · NEW ZEALAND & AUSTRALIAbrinny@beebee.ai
CONTACT · MAINLAND CHINA, HK & TAIWANanna@2brain.ai

ON-PREMISE · DATA STAYS WITH YOU · HUMAN-APPROVED ACTIONS · REGISTERED IN NEW ZEALAND