The AI operating layer proven on a real P&L.
Built inside a real operating 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 operating company — for S$100M+ enterprises.

One goal: your margin.

moved through three levers
Lower cost
Faster growth
Higher productivity
I channelled every pain point of running a real multi-country, multi-channel 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.

One outcome. Your existing data. Governed agents live in 30 days — the foundation, not a pilot you discard.

No trial and error

You don’t lack AI tools. You lack the end-state architecture.

A result in 30 days

One workflow, in production — not a slide.

Nothing destabilised

Sits above your stack. Incremental, reversible. No ERP replacement.

Capability, not dependency

You keep the data, the decisions, the knowledge.

The whole ask: CEO sponsorship, one data owner, one workflow owner. If it doesn’t work, we stop it.
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 an enterprise 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.

Campaign Execution Agent · Lark
Campaign Execution Agentagent
📋 Midweek Rewards — action checklist (owners tagged)
1/12 done · 9 to action now · ⏳ 27 days to end · ⚠ At Risk
Owners tagged below — action your items by the due date or reply done.
Campaign Execution Agentagent
Retail + VM
☐ Confirm 5% cashback in points issues and redeems at the till and online — due Sat 26 Sep · overdue · Quynh
Note: still the blocker. Mechanic changed 28 Sep. Store credit was dropped because it could not be confirmed across both systems; points has to clear the same bar now the offer runs in-store and online.
☐ Counter card + staff script — due Thu 8 Oct · Aliya
☐ Retail briefed, Mon–Thu only — due Fri 16 Oct · Gail

A campaign becomes owned, dated actions — and the blocker is named. The agent does not just report that something is late; it says what it blocks and who has to decide.

Campaign Execution Agent · Lark
Campaign Execution Agentagent
⚠ Watch — gift stock is double-booked
229 packing bags are the entire gift allocation for the Roam launch (24–31 Oct). Ten Hours runs 8–18 Oct, before Roam, and draws on the same 229.

Unreserved alternatives: thermos 132 · massage gun 169 · travel pillow 67.
Proposed: a different gift per buy tier, so the two campaigns stop competing for one pool.
Otherwise Roam launches with no gift.
WN
Winitaresolved 29 Sep
Buy 2 → thermos (132 units, runs out about a third of the way in) → fallback to packing bag. Buy 3 → massage gun, 169 units, covered.

Two campaigns, one pool of gift stock — caught before either launched. The agent read both plans against live inventory, found the collision and put every unreserved alternative on the table. A person made the call.

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 operating 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 & redesign

Name the number the process exists to move, measure the baseline, and rebuild the process to move it.
An owner who can approve a changed process — not just describe the current one

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.

Ten people. Twenty-two agents. One company.

Sunnystep today. Every function has a named human who owns the outcome; the agents underneath do the execution and write the results back. 37 people to 10 — not by asking anyone to do more, but by giving each of them a team.

10
humans — a named owner on every function
22
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
TMTingFounder & CEO
InfinityChief of StaffAthenaMission ControlMelodyPersonal AssistantClaraMeeting Master
CClementFinance
PrudenceChief Financial OfficerConstanceHead of Administration
WWinitaMarketing
EchoChief Marketing OfficerRocketChief Growth Officer
AAliyaCustomer service & project management
IrisHead of Customer ExperienceCadenceProject Manager
QQuynhE-commerce & marketplace
NovaHead of E-commerceMarcoHead of Marketplace Channels
WHWing & HeidiProduct · supply chain · merchandising
WrightChief Product OfficerSageHead of Merchandising
GGailRetail operations — SG & MY · business development
AtlasChief Operating OfficerVictorHead of SalesMilesHead of Business Development
SSundarTechnology
RayChief Technology Officer
EErlanPeople
MiraChief People OfficerScoutHead of Talent AcquisitionVeraCareer CoachTempoPersonal Assistant

The human sets intent and approves; the agent executes and reports back. Each agent 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 — and a named person makes the call on anything that reaches a customer, moves money, or changes someone’s job.

A small team runs enterprise-scale output without growing headcount

Grow output and margin — not headcount.

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

AI Product Modules

The system that runs the work.

Seven productised modules: Governed Access · Process Engineer · Company Brain · Agent Fleet · Mission Control · Agent Studio · Domain Expertise Marketplace.

Change Management

Adoption is the product.

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

Deployment Team

Embedded until it runs.

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

Before we redesign anything, we map the whole company.

Not an org chart and not a flowchart. A living, queryable model of how the company actually works today — built by agents, across every function at once, in weeks rather than a consulting quarter.

Operating Graph = Functions + Processes + Tasks + Roles + People + Skills + Tools + Vendors + Sources of truth + Agents + every edge between them

PROCESSES

Not the SOP — the path work actually takes.

TASKS

The unit of work, timed and costed.

ROLES

What the job does, not what the title says.

PEOPLE

Who holds which skill today.

SKILLS

What the company knows how to do.

TOOLS

Every system, and what it is really used for.

VENDORS

Who is paid for which step.

DATA

The source of truth behind each entity.

AGENTS

What already runs without a human.

EDGES

Every handoff, dependency and single point of failure.

What falls out of the graph in week one. Automation potential task by task, not department by department · what each task costs in hours and headcount · which roles change and which disappear · tools and vendors being paid twice for the same step · every place one person is the single point of failure.

The map is not a report. It becomes the Company Brain the agents read before every action — so it stays true as the company changes, instead of ageing in a slide deck.

We redesign the process before anything automates it.

Automate a broken process and you get a faster broken process. We start from the number the process exists to move — then rebuild the process to move it.

01

Eliminate

Should this step exist at all? Most of the gain is deletion.

02

Simplify

Most cycle time is queueing, not working.

03

Standardise

One way across every entity.

04

Automate

Only now — on the redesigned process, not the inherited one.

The gain is rarely the hours saved. It is the revenue that was always there and never actioned — and the decisions made weeks earlier, while they still matter.

Three artefacts in week one: how it actually runs · where it diverges from your SOP and what that costs · the redesigned process, ready to run.

01Product modules

The system that runs the work.

01Governed Access

Plug in. Don’t rip out.

Governed read and write into the systems you already run — no migration, no data-warehouse project first.

Live on the systems Sunnystep already ran.

02Process Engineer

Redesign before you automate.

Maps the company as a living graph — processes, tasks, roles, skills, tools, vendors, agents and every edge — then redesigns the work before anything automates it. Eliminate, simplify, standardise, automate.

Every function in parallel, in weeks.

03Company Brain

Learned once. Kept forever. Used by every agent.

Your SOPs, workflows, data, skills and know-how in one machine-readable model — what every agent reads before it acts, and what the redesign writes into.

One definition of every entity the company runs on.

04Agent Fleet

Agents that own the workflow, not the task.

Role-based agents, each owning a whole workflow end to end, fitted to your redesigned process and your approval chain, under a named human owner.

22 agent managers across 13 functions, in production.

05Mission Control

See everything. Approve anything. Undo any of it.

The CEO’s live view of the company: every function’s numbers, decisions, owners and exceptions in one console — and where every agent action is measured, approved, versioned and rolled back.

2,298 runs in 30 days — every one logged and reversible.

06Agent Studio

Your team builds. The eval decides.

Your team changes the machinery itself — Brain, Standard and Agent builders, every change evaluated before it goes live.

Builders gated by one eval.

07Domain Expertise Marketplace

Hire agents that have already done the job.

World-class domain-expert agents and skills. A finance agent that has closed a real month; a merchandiser that has killed real stock.

263 shared skills — taught once, inherited fleet-wide.

Six of these can be copied. The seventh cannot. What one client’s function learns becomes a skill the next inherits on day one — built by operators who ran that function on a real P&L, graded before release, blocked if it backslides.

02Change management

Adoption is the product.

Most AI transformations fail on adoption, not technology.

Maxify Strategy

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

Maxify Prepare

Leadership alignment, AI literacy & role transitions.

Maxify Discover

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

Maxify People

Train & certify your internal team to own it.

03Deployment team

Embedded until it runs.

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.

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.

Maxify your company with Maxify AI