The AI operating layer proven on a real P&L.
Built inside a real consumer company.

Maxify AI is the operating system that transforms established enterprises into AI-native companies — turning fragmented systems, manual workflows and institutional knowledge into an AI-native operating model.

Maxify’s mission is to make world-class AI operating capability accessible to every company. Every company deserves to run like the best-run company.

Enable ordinary people to achieve extraordinary results.

Live in 30 days No rip out · Modular rollout
Built inside a real consumer company — for S$100M+ consumer companies.

One goal: your margin.

moved through three levers
Lower cost
Faster growth
Higher productivity
I channelled every pain point of running a real consumer company into this AI operating system.
— Ting, founder of Maxify and Sunnystep

Past a certain size, your company runs on you.

  • Too many meetings but no follow-ups.
  • Everyone does it their own way.
  • Different teams fight.
  • Key-person risk.
  • What's the ground truth?
  • What's everyone actually doing?
  • Why is my margin dropping?
An operator overwhelmed by conflicting dashboards, alerts, spreadsheets and unowned tasks

The fastest credible path to an AI-operated company.

You already believe AI will transform your company. The question is how — without disconnected pilots, disruption, or burning management time.

No months of experimenting. No perfect data required. Pick one material outcome, use the data you already have, first governed agents live in 30 days — built as the foundation for company-wide transformation, not a pilot you discard. Target, subject to agreed data access and scope.

No expensive trial and error

You don't lack AI tools — you lack the end-state architecture. We work backward from the company you want to run.

A result in 30 days

One workflow. Your existing data. Governed agents in production — not a slide.

Nothing destabilised

Sits above your stack. Chat-based, incremental, reversible. No ERP replacement.

Capability, not dependency

You keep the data, the decisions, the knowledge. We co-build; your team extends it.

The whole ask: CEO sponsorship, one data owner, one workflow owner. Human approval on every action. If it doesn't work, we stop it — your core systems untouched.

You're not paying Maxify to experiment. You're paying us to compress the experimentation we've already done.

Leadership sees the whole business live through a trustworthy mission-control console

Your whole company on one governed console — AI operators do the work. No black boxes.

The AI operating layer that runs toward your margin.

Maxify — your AI operating layer
role-based AI agents · unify data, decisions & execution · move revenue, cost, CX & cadence
reads
acts · on approval
Your existing stack — stays where it is · nothing to rip out
ERPPOSE-commerceWarehouseFinanceFiles & sheets
Start with imperfect data and systems. Nothing needs cleaning up before we begin — we connect what you already have, then streamline it into one source of truth and redesign the workflow as we go. The foundation gets stronger with every function you turn on.

Agents built for how a consumer company actually runs — every function covered, stronger together.

Proven inside Sunnystep — each function with AI agents owning real workflows and a live scorecard for the outcome.

Executive Mission Control

Company-wide KPIs, decisions & accountability in one place.

Finance

Reconciliation, AP, cash-flow & variance alerts.

Marketing & Growth

Campaigns, creative, paid-ads & SEO.

E-commerce

Listings, pricing, promotions & cart recovery.

Marketplace & Channels

Listings, inventory & pricing synced across marketplaces.

Merchandising

Demand forecasting, assortment & markdowns.

Supply Chain

Replenishment, supplier POs & stock-risk alerts.

Product

Quality gates, range discipline & roadmap.

Operations

SOP execution, exception handling & daily reporting.

Customer Support

Ticket triage & on-brand replies across channels.

CRM & Retention

Win-back, loyalty & churn-save flows.

HR

Screening, offers, onboarding & coverage gaps.

Business Development

New retail doors, channels & markets, wholesale & partnerships.

Real workdays. A human on every approval. Across all business functions.

Finance Automation · Lark
IS
Isaac10:23 AM
@Infinity — Chief of Staff, please run the SG cashflow bank-statement reconciliation now.
Infinity
Infinity — Chief of Staffagent
Done: SG cash-flow statement reconciled through 22 Jul 2026.
Deliverable: DBS-SGD (2026) · rows A3188:L3208
Verified: ledger ties to the DBS bank feed; exceptions flagged, none blocking.
Remaining: none.

An afternoon of finance work — one sentence. Reconciled to the exact rows, checked before it says done.

Cash-Flow Payment Reminder · Lark
Cash-Flow Agentagent
Approve invoice → cash-flow write
Invoice: TaxInvoice_3897…618.pdf · Profile: SG
2026-07-31 · CP1 Pte Ltd · Chinatown Point_GTO_Jun26 · DR 131.30
ApproveReject
Cash-Flow Agentagent
✓ Approved invoice written to cash-flow.
Status: applied · rows inserted 1 · row 3244 · recurring rent/utility applied.

Invoices post themselves — after one human tap. The money stays human.

Retail Management · Lark
GA
Gail11:37 AM
@Infinity which store has Dream Oxford Pecan, size 42?
Infinity
Infinityagent
Size 42 in stock: Bugis Junction 3 · Pasir Ris 1 · Square 2 1 · Westgate 1 — total 6 pairs.
Source: Core inventory · updated 13 Jul, 10:59
T
Ting11:05 PM
Are we still selling Dream Oxford Pecan well?
Infinity
Infinityagent
Yes — #2 colour, last 30 days: 23 pairs / S$3,367 (behind Beige 58). Momentum softened 26%. Call: keep selling; monitor, don't markdown.

A stock check became a merchandising call — one thread. Every number traced to source. No analyst, no lag.

SG Retail · Inventory · Lark
Exchange & Reserve Botagent
🔄 Size Exchange — Causeway Point
Customer: spiceng · Platform: Shopee · Order 260715PRE28YFV
On duty: @Amy @Shamini
📥 Reserve: Balance Penny Loafer Mules · Oat · 39
📤 Returning: Dream Lace-up Mules · White · 40
source: Shopee chat · Zaapi 260722B4R4N4
✓ OK — Amy

Online store and shop floor, finally in sync. The exchange is staged before the customer walks in.

SG Retail · Inventory · Lark
Restock & Return Botagent
📦 NEX Incoming Preparation · ETA 24 Jul 2026
Planned incoming: 79 pairs · New SKCs: 3 · Restock SKCs: 23
Return-to-WH included prepare 2 return SKCs (~18 pairs) before the incoming arrives.
Open Item ListOpen Return List

Stock lands to a store that's already prepped. The floor is ready before the truck arrives — no scramble.

CRM AI Agent · Lark
Winita — CRM Botagent
📧 This Week's Emails — Oxford + Walker Edit
Two product edits, engaged-first → broad. Both Klaviyo drafts, ready to review & send — built to A/B test angle vs audience.

Two on-brand A/B emails — zero designers. Written in your voice, split by audience, ready to send.

Customer Service · Lark
Customer Service Agentagent
👤 EJ · WhatsApp · confidence 0.92
Customer asked: "do you have this in store, US 7?"
✍ Proposed reply — draft, not sent
A US women's 7 is an EU 38; our shoes fit true to size with a roomy toe box — if between sizes, size up. Could you confirm the model and store so I can check EU 38 stock? 😊
SendEditDiscard

Your busiest channel, answered in seconds. On-brand, confidence-scored, held until a human hits Send.

Meeting Master · Lark
Infinity
Infinity — Chief of Staffagent
📋 Meeting Summary — bi-weekly, 5 Jun At Risk
Action items — what → owner → by when → evidence:
  • Break down 2026 complaints by product × cause — Felishia · 8 Jun
  • Unify CS + store after-sales SOP — Felishia, Gail · 11 Jun
  • Connect OTB replenishment to the gateway — Yutong · 19 Jun
Reply: done + evidence, or blocker + owner. No evidence = not closed.

Every meeting becomes owned actions — chased to done. The say-do gap closes itself.

Echo · Chief Marketing Officer · Lark
T
Tingshared a link
🔗 "Run your entire DTC ad engine inside Claude Code"
Echo
Echo — CMOagent
Not just paid-media analysis — a full creative-performance operating system.
Done: captured into the Marketing Brain inbox. Verified: entry visible.
My take — build in 4 layers: Brand/ICP brief · Concept engine · Production engine · Analysis engine.
Guardrail: AI drafts & diagnoses; every render / spend needs human approval.

Every agent curates its own brain — sharper daily. Drop a link; it captures, verifies, turns it into a plan.

Influencer Outreach AI · Lark
Influencer Outreach AIagent
📧 Chevon replied — needs your call
Posting today; only got the Balance Runner, will feature it with code CHEVON5OFF + tag @sunnystep.official.
⚠ Two business calls for you:
  • Shopee program — draft declines, keeps the collab on Sunnystep
  • Usage rights — draft proposes a limited paid-usage option
✓ Send this✍ EditNo reply needed

Your whole influencer program, run end to end. Every reply drafted; only the business calls reach you.

[hr] AI Recruitment · Lark
Infinity
Infinity — Chief of Staffagent
📊 7-Day Recruitment Report On Track
Key metric — confirmed technical-AI interviews 18 vs target 10 · invitation-to-confirmation 56%.
7-day funnel:
  • New applications 32 · P0 candidates 7
  • Interview invitations 32 · interviews confirmed 18

The whole hiring funnel, reported weekly — automatically. Sourcing to confirmation, no one chasing numbers.

Vera · Career Coach · Lark
T
Tingearlier
You created task t102596 — walk me through the rationale.
Vera
Vera — Career Coachagent
From Raghav's Jul 16 update: I treated a vague commitment as a visible milestone — a task asking for evidence by Jul 17, with owner, date, and a proof condition. An auditable commitment, not a verbal chase. A coaching nudge, not a rating.
T
TingJul 17
This is a great task. Keep doing this.
Vera
Vera — Career Coachagent
✓ Done — captured two ways:
Added to coach memory as durable behaviour · created a reusable Skill proposal.
Verified: memory entry present · proposal pending, scan clean.

Nothing slips — and it gets smarter when praised. A vague task became owned, proven, then a reusable skill.

Management Team · Lark
T
Tingto the C-suite
Give brief thoughts, building on each other, on our most important priorities now.
Echo
Echo — CMOagent
Make product + CX unquestionably strong, build one measurable revenue engine, own "movement-health footwear" through proof, not discounts.
Ray
Ray — CTOagent
Agree — refine the sequence into one system: hero quality → availability → demand → conversion & repeat → weekly accountable measurement.

Not just operators — a team that thinks with you. Your AI C-suite debates strategy and sharpens the call.

We proved it on a real P&L, in a real consumer company.

Maxify was deployed inside Sunnystep — an independent, science-led retail company. Same business, higher margin, a fraction of the team — with AI agents absorbing the manual and coordination load.

37→10
team headcount  −73%
+8.3%
net profit margin

6 months, phased, end to end — proof over promises.

Headcount before → after, by function
FunctionBeforeAfter
Managers70
Marketing82
E-commerce31
Merchandising20
Product & supply chain62
Retail operations52
HR21
Finance21
Customer support21
Total3710

From first workflow to an AI-operated company.

Align → Launch → Prove → Scale → Orchestrate → AI-operated. Two tracks run the whole way: business value, and the governance that keeps it controlled.

WEEK 1

Align

Choose the outcome, the baseline and the owners.
Authority and data scope

WEEKS 2–4

Launch

Put the first governed agents into daily work, through the chat tools your team already uses.
Human gates and audit trail

MONTHS 2–3

Prove

Verify value, safety and adoption — run in shadow beside the people doing the job today, with no live authority until it beats the baseline.
Mission Control and fallback

MONTHS 4–5

Scale

Replicate proven patterns internally, function by function.
Internal team extends the system

MONTHS 6–8

Orchestrate

Coordinate agents across functions, not just inside one.
CEO Dashboard and exceptions

MONTH 9+

AI-operated

Operate toward company objectives.
Controlled autonomy and optimisation

A business-value gate and a governance gate at every stage. Nothing advances on assertion — each stage must clear both before the next begins.

The team runs on a fleet of named AI agents.

13
agent managers and their fleets of subagents
48
scheduled loops, live now
2,298
runs, last 30 days
96.6%
run success rate · 30-day
263
shared skills · taught once, fleet-wide
Control
Infinity
Infinity Chief of Staff
"Every loop closed. Every dot connected."
Ray
Ray CTO
"Ship fast. Stay up. Scale clean."
Atlas
Atlas COO
"Clarity. Speed. Outcomes."
Revenue
Echo
Echo CMO
"Build desire. Drive demand. Traffic in. Revenue out."
Sage
Sage CMerchO
"Buy what sells. Kill what doesn't."
Rocket
Rocket CGO · staged
"Test fast. Scale what wins."
Experience
Iris
Iris Head of CX
"Problems solved. Trust deepened."
Wright
Wright CPO
"The most comfortable shoes. Built for the body."
Stewardship
Prudence
Prudence CFO
"Cash audited. Margin engineered."
Mira
Mira CPO — People
"Hire above the bar. Build past the ceiling."
Vera
Vera Career Coach
"Build A+ players, develop your full potential."
CEO's office
Melody
Melody PA to CEO
"Clear priorities. Closed loops. More headspace."
Constance
Constance Head of Admin
"Done means verified."

Each has a written mandate, a Lark identity, a scheduled loop, and an auditable run log. Every agent owns a number and is measured against it weekly.

A small team runs enterprise-scale output without growing headcount

Grow output and margin — not headcount.

Company-wide AI transformation — immediate P&L impact.

Real work done · revenue up · cost down · people sharper.

AI Product Modules

Six productized modules: Brain · Connect · Marketplace · Agents · Control · Studio.

Change Management

Strategy · Prepare · Discover · People — the operating-model and human transformation.

Deployment Team

A senior 3-person team who've run a real company — working onsite with you, not billed by the hour.

Six AI product modules that compound.

01 · Maximum Clarity

Brain

A self-updating company memory your agents act on — so knowledge stays when people leave.

02 · Maximum Visibility

Connect

Governed access to the systems you already run — one source of truth, no warehouse project first.

03 · out-of-the-box

Marketplace

A catalog of proven agent blueprints and templates — install, don't build.

04 · Maximum Alignment

Agents

Live AI colleagues that each own a whole workflow end-to-end.

05 · Accountability + Visibility

Control

One console to measure, approve, version, and roll back every agent action.

06 · Maximum Empowerment

Studio

Your team safely customizes the layer — every change tested before it goes live.

Change management — we transform how you operate, not just the software you run.

Most AI transformations fail on adoption, not technology.

01 · strategy

Maxify Strategy

Target operating model, role-to-agent map & cost-out plan.

02 · prepare

Maxify Prepare

Leadership alignment, AI literacy & role transitions.

03 · discover

Maxify Discover

A paid 2–4 week diagnostic → a deployable blueprint. No lock-in.

04 · people

Maxify People

Train & certify your internal team to own it.

AI won't replace your people — but a colleague who uses AI will.

A team that's run a real company — building yours.

AI Strategy Lead

Prioritises where AI pays off first; owns KPIs and ROI.

AI Product Solutions Lead

Turns your real SOPs into agent-ready workflows.

AI Engineer Lead

Builds it on your stack — governance, security, evals, rollback.

Top-down — with leadership

With leadership: set goals, mandate, KPIs — and clear blockers.

Bottom-up — with the operators

With operators: capture how it really runs, win adoption.

Software any vendor can sell. A team that's run the company, building yours — that's the moat.

AI operators owning routine workflows so people focus on judgment and growth

Routine handled by AI operators — people work at their maximum.

One complete operating system — from principle to P&L.

A safe rollout — nothing goes live until it’s proven.

01 · pilot

Pilot in shadow

Run beside the people who do the job today — no live authority yet.

◆ the gate

Evaluate

Measure against the agreed baseline. The verdict: proven, fixed, or killed — never "looks good."

03 · deploy

Deploy, gated

Promote only what passed to live — with gated authority.

04 · operate

Operate live

Runs governed — measured weekly, reversible any time.

05 · learn

Learn & compound

Verified outcomes write their lesson back — sharpening the next agent.

3 ways to get started.

Start where the risk is lowest and expand to where the value is biggest — only the number of functions changes.

Value Pilot

Prove value
2 functions · ≤4 weeks · first value in 30 days
Recommended

Value Maximizer

Scale across teams
6 functions + command center · ≤6 weeks

Value Engine

Transform the company
All functions + command center · ≤8 weeks

Only the number of functions changes between packages — commercials are scoped to value and company size, shared separately.

Doing nothing isn't standing still. It's falling behind — every week.

Run like the best-run company on earth. Run at your Maximum. Run on results.

hello@gomaxify.ai gomaxify.ai
Maxify your company with Maxify AI